Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chun, Yeye He (yeyehe), Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
Dongmei Zhang
Distinguished Scientist, Deputy Managing Director, Microsoft Research Asia
Publications
Publications by Year
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Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
CVPR'25 | June 2025
ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
Artificial Intelligence and Statistics 2025 | May 2025
MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
February 2025
Enabling Autonomic Microservice Management through Self-Learning Agents
Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
January 2025
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SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
EMNLP'24 | November 2024
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
Sharingan: Extract user action sequence from desktop recordings
Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
November 2024
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, Vol 252
Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
IUI'25 | October 2024
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
September 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
ACL 2024 | August 2024
Large Language Models Can Provide Accurate and Interpretable Incident Triage
Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | August 2024
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
Foundations of Software Engineering (FSE) | July 2024
The Vision of Autonomic Computing: Can LLMs Make It a Reality?
Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
July 2024
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang
COLING-LREC'2024 | May 2024
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
TheWebConf'24 | February 2024
UFO: A UI-Focused Agent for Windows OS Interaction
Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
February 2024
UniLog: Automatic Logging via LLM and In-Context Learning
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
ICSE 2024 | February 2024
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2024 | February 2024
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TaskWeaver: A Code-First Agent Framework
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
December 2023
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ArXiv | November 2023, Vol abs/2311.04254
Assess and Summarize: Improve Outage Understanding with Large Language Models
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ESEC/FSE 2023 | November 2023
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
ESEC/FSE 2023 | November 2023
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Empirical Software Engineering | October 2023
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang
ICCV 2023 | October 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
2023 Knowledge Discovery and Data Mining | August 2023
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
ACL 2023 MainTrack | July 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
DSN | June 2023
XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
How Do In-Context Examples Affect Compositional Generalization?
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
ACL 2023 | June 2023
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang
CVPR 2023 | June 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
ICSE 2023 | May 2023
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
CONAN: Diagnosing Batch Failures for Cloud Systems
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2023 SEIP | May 2023
Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW'23) | April 2023
Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW'23) | April 2023
ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW '23 | April 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
WWW'23 Companion | April 2023
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22) | December 2022
Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2022
ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD'22 | August 2022
SPINE: A Scalable Log Parser with Feedback Guidance
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
2022 Foundations of Software Engineering (FSE) | July 2022
SIGSOFT Distinguished Paper Award
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
Investigating the Role and Interplay of Narrations and Animations in Data Videos
Hao Cheng, Junhong Wang, Yun Wang, Bongshin Lee, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum (Proceedings of EuroVis 2022) | June 2022
Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
ACL 2022 | May 2022
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 Main Track | May 2022
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral Main Track | May 2022
Testing Machine Learning Systems in Industry: An Empirical Study
Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, Dongmei Zhang
ICSE 2022 | May 2022
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
TheWebConf 2022 | April 2022
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
TheWebConf 2022 | April 2022
GridBook: Natural Language Formulas for the Spreadsheet Grid
Sruti Srinivasa Ragavan, Zhitao Hou, Yun Wang, Andy Gordon, Haidong Zhang, Dongmei Zhang
International Conference on Intelligent User Interfaces | March 2022
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference
Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jian-Guang Lou, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | February 2022
Coarse-to-Fine Generative Modeling for Graphic Layouts
Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang
AAAI'22 | February 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
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Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
IJCAI 2021 | December 2021
Can neural clone detection generalize to unseen functionalities?
Chenyao Liu, Jian-Guang Lou, Zeqi Lin, Lijie Wen, Dongmei Zhang
2021 Automated Software Engineering | November 2021
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
Weakly Supervised Semantic Parsing by Learning from Mistakes
Jiaqi Guo, Jian-Guang Lou, Ting Liu, Dongmei Zhang
EMNLP'21 (Findings) | November 2021
HALO: Hierarchy-aware Fault Localization for Cloud Systems
Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
SigKDD 2021 | October 2021
A Mixed-Initiative Approach to Reusing Infographic Charts
Weiwei Cui, Jinpeng Wang, He Huang, Yun Wang, Chin-Yew Lin, Haidong Zhang, Dongmei Zhang
September 2021
IEEE VIS 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2021 International Symposium on Software Reliability Engineering | September 2021
Best Research Paper
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
Effective Low Capacity Status Prediction for Cloud Systems
Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
ESEC/FSE'21 | August 2021
Intelligent container reallocation at Microsoft 365
Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
2021 Foundations of Software Engineering | August 2021
Onion: Identifying Incident-indicating Logs for Cloud Systems
Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
ESEC/FSE'21 | August 2021
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21) | August 2021
Fighting the Fog of War: Automated Incident Detection for Cloud Systems
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing
Yuntao LI, Bei Chen, Qian LIU, Yan Gao, Jian-Guang Lou, Yan ZHANG, Dongmei Zhang
IJCAI'21 | August 2021
TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME '21) | July 2021
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization
Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics (Early Access) | July 2021
Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
ACL-IJCNLP 2021 (findings) | July 2021
Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
Animated Presentation of Static Infographics with InfoMotion
Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum | June 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Proceedings of International Conference on Web Search and Data Mining (WSDM'22) | May 2021
F3: Fault Forecasting Framework for Cloud Systems
Pu Zhao, Chuan Luo, Bo Qiao, Youjiang Wu, Yingnong Dang, Murali Chintalapati, Susy Yi, Paul Wang, Andrew Zhou, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang
May 2021
Returning to the Office During the COVID-19 Pandemic Recovery: Early Indicators from China
Yun Wang, Ying Liu, Weiwei Cui, John Tang, Haidong Zhang, Doug Walston, Dongmei Zhang
Extended Abstracts of the CHI 2021 Conference on Human Factors in Computing Systems | May 2021
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
Iterative Utterance Segmentation for Neural Semantic Parsing
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
AAAI'21 | February 2021
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo GUO, Hualei ZHU, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
AAAI'21 | February 2021
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | January 2021, Vol 27(2): pp. 443-452
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How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Automated Software Engineering | December 2020
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
ESEC/FSE'20 | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Identifying linked incidents in large-scale online service systems
Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
Compositional Generalization by Learning Analytical Expressions
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
NeurIPS 2020 (spotlight paper) | November 2020
Efficient Customer Incident Triage via Linking with System Incidents
Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'20 Industry) | November 2020
Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
NeurIPS'20 | November 2020
Incomplete Utterance Rewriting as Semantic Segmentation
Qian LIU, Bei Chen, Jian-Guang Lou, Bin ZHOU, Dongmei Zhang
EMNLP'20 (full paper) | November 2020
“What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
Yuntao LI, Bei Chen, Qian LIU, Yan Gao, Jian-Guang Lou, Dongmei Zhang
EMNLP'20 (full paper) | November 2020
Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
arXiv | October 2020
Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM'20 (among five best paper nominees in full research track) | October 2020
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE VIS 2020 | October 2020
Practices around Working from Home and Early Indicators on Returning to Work after the COVID-19 Pandemic: Data from Microsoft China
Yun Wang, Ying Liu, Weiwei Cui, John Tang, Haidong Zhang, Doug Walston, Dongmei Zhang
August 2020
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Qian Liu, Jiaqi Guo, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
IJCAI2020 | July 2020
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task
Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang
IJCAI 2020 | July 2020
You Impress Me: Dialogue Generation via Mutual Persona Perception
Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang
ACL 2020 | July 2020
CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang
MSR-TR-2020-16 | May 2020
Published by Microsoft
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
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Data-Anonymous Encoding for Text-to-SQL Generation
Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang
2019 Empirical Methods in Natural Language Processing | December 2019
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
A Split-and-Recombine Approach for Follow-up Query Analysis
Qian LIU, Bei Chen, Haoyan LIU, Jian-Guang Lou, Lei Fang, Bin ZHOU, Dongmei Zhang
EMNLP | November 2019
Data-Anonymous Encoding for Text-to-SQL Generation
Zhen DONG, Shizhao SUN, Hongzhi LIU, Jian-Guang Lou, Dongmei Zhang
EMNLP | November 2019
DataShot: Automatic Generation of Fact Sheets from Tabular Data
Yun Wang, Zhida Sun (intern), Haidong Zhang, Weiwei Cui, Ke Xu (intern), Xiaojuan Ma, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements
Weiwei Cui, Xiaoyu Zhang, Yun Wang, Ray Huang, Bei Chen, Lei Fang, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Jiaqi GUO, Zecheng Zhan, Yan GAO, Yan XIAO, Jian-Guang Lou, Ting LIU, Dongmei Zhang
ACL19 | August 2019
Cross-dataset time series anomaly detection for cloud systems
Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
USENIX ATC'19 | July 2019
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
FANDA: A Novel Approach to Perform Follow-up Query Analysis
Qian LIU, Bei Chen, Jian-Guang Lou, Ge JIN, Dongmei Zhang
AAAI19 | January 2019
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) | January 2019
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SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang
EMNP'18 | November 2018
Identifying Impactful Service System Problems via Log Analysis
Shilin He, Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Predicting Node Failure in Cloud Service Systems
Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
Qingwei Lin 林庆维, weichen Ke, ...
SigKDD 2018 | August 2018
Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, ..., Qingwei Lin, ...
USENIX ATC 2018 | July 2018
Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
InfoNice: Easy Creation of Information Graphics
Yun Wang, Haidong Zhang, Ray Huang, Xi Chen, Qiufeng Yin, Zhitao Hou, Dongmei Zhang, Qiong Luo, Huamin Qu
ACM CHI Conference on Human Factors in Computing Systems | April 2018
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Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
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Systematically Debugging IoT Control System Correctness for Building Automation
Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
iDice: Problem Identification for Emerging Issues
Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
ICSE 2016 | January 2016
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YADING: Fast Clustering of Large-Scale Time Series Data
Rui Ding, Qiang Wang, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang, Rui Ding
September 2015
CodeHow: Effective Code Search based on API Understanding and Extended Boolean Model
Fei LV, hongyu zhang, Jian-Guang Lou, Shaowei WANG, Dongmei Zhang, Jianjun ZHAO, jianjun zhao
Automated Software Engineering (ASE2015) | August 2015
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
Rui Ding, ..., Qingwei Lin 林庆维, ...
USENIX ATC | July 2015
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Correlating Events with Time Series for Incident Diagnosis
Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
SigKDD'14 | July 2014
Identifying Recurrent and Unknown Performance Issues
Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
ICDM | July 2014
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
Rui Ding, ..., Qingwei Lin 林庆维, ...
DSN | July 2014
Where Do Developers Log? An Empirical Study on Logging Practices in Industry
Qiang Fu, ..., Qingwei Lin 林庆维, ...
ICSE 2014 | July 2014
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Software Analytics for Incident Management of Online Services: An Experience Report
Jian-Guang Lou, Qingwei Lin 林庆维, ...
ASE | November 2013
Contextual Analysis of Program Logs for Understanding System Behaviors
Qiang Fu, ..., Qingwei Lin 林庆维, ...
... | July 2013
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“Can I Clone This Piece of Code Here?”
Xiaoyin Wang, Yingnong Dang, Lu Zhang, Dongmei Zhang, Erica Lan, Hong Mei
27th IEEE/ACM International Conference on Automated Software Engineering | September 2012
Healing Online Service Systems via Mining Historical Issue Repositories
Rui Ding, ..., Qingwei Lin 林庆维, ...
ASE 2012 | July 2012
Performance Issue Diagnosis for Online Service Systems
Qiang Fu, ..., Qingwei Lin 林庆维, ...
the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
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Code Clone Detection Experience at Microsoft
Yingnong Dang, Dongmei Zhang
Proceedings of the 5th International Workshop on Software Clones | May 2011
Publications by Research Area
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Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chun, Yeye He (yeyehe), Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, Vol 252
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang
COLING-LREC'2024 | May 2024
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2024 | February 2024
UniLog: Automatic Logging via LLM and In-Context Learning
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
ICSE 2024 | February 2024
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
ESEC/FSE 2023 | November 2023
Assess and Summarize: Improve Outage Understanding with Large Language Models
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ESEC/FSE 2023 | November 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
ICSE 2023 | May 2023
CONAN: Diagnosing Batch Failures for Cloud Systems
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2023 SEIP | May 2023
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW '23 | April 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
WWW'23 Companion | April 2023
Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2022
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD'22 | August 2022
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
SPINE: A Scalable Log Parser with Feedback Guidance
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
2022 Foundations of Software Engineering (FSE) | July 2022
SIGSOFT Distinguished Paper Award
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
Investigating the Role and Interplay of Narrations and Animations in Data Videos
Hao Cheng, Junhong Wang, Yun Wang, Bongshin Lee, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum (Proceedings of EuroVis 2022) | June 2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral Main Track | May 2022
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
TheWebConf 2022 | April 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
IJCAI 2021 | December 2021
HALO: Hierarchy-aware Fault Localization for Cloud Systems
Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
SigKDD 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
Effective Low Capacity Status Prediction for Cloud Systems
Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
ESEC/FSE'21 | August 2021
Onion: Identifying Incident-indicating Logs for Cloud Systems
Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
ESEC/FSE'21 | August 2021
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
Fighting the Fog of War: Automated Incident Detection for Cloud Systems
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization
Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics (Early Access) | July 2021
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Automated Software Engineering | December 2020
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Identifying linked incidents in large-scale online service systems
Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
ESEC/FSE'20 | November 2020
Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
Efficient Customer Incident Triage via Linking with System Incidents
Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'20 Industry) | November 2020
Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM'20 (among five best paper nominees in full research track) | October 2020
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Jiaqi GUO, Zecheng Zhan, Yan GAO, Yan XIAO, Jian-Guang Lou, Ting LIU, Dongmei Zhang
ACL19 | August 2019
Cross-dataset time series anomaly detection for cloud systems
Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
USENIX ATC'19 | July 2019
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
FANDA: A Novel Approach to Perform Follow-up Query Analysis
Qian LIU, Bei Chen, Jian-Guang Lou, Ge JIN, Dongmei Zhang
AAAI19 | January 2019
Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
YADING: Fast Clustering of Large-Scale Time Series Data
Rui Ding, Qiang Wang, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang, Rui Ding
September 2015
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Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
CVPR'25 | June 2025
ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
Artificial Intelligence and Statistics 2025 | May 2025
MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
February 2025
Enabling Autonomic Microservice Management through Self-Learning Agents
Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
January 2025
Sharingan: Extract user action sequence from desktop recordings
Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
November 2024
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
EMNLP'24 | November 2024
Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
IUI'25 | October 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, Vol 252
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
September 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
ACL 2024 | August 2024
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
Foundations of Software Engineering (FSE) | July 2024
The Vision of Autonomic Computing: Can LLMs Make It a Reality?
Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
July 2024
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2024 | February 2024
UniLog: Automatic Logging via LLM and In-Context Learning
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
ICSE 2024 | February 2024
UFO: A UI-Focused Agent for Windows OS Interaction
Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
February 2024
TaskWeaver: A Code-First Agent Framework
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
December 2023
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ArXiv | November 2023, Vol abs/2311.04254
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
ESEC/FSE 2023 | November 2023
Assess and Summarize: Improve Outage Understanding with Large Language Models
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ESEC/FSE 2023 | November 2023
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Empirical Software Engineering | October 2023
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang
ICCV 2023 | October 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
2023 Knowledge Discovery and Data Mining | August 2023
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
ACL 2023 MainTrack | July 2023
XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
How Do In-Context Examples Affect Compositional Generalization?
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
ACL 2023 | June 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
ICSE 2023 | May 2023
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
CONAN: Diagnosing Batch Failures for Cloud Systems
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2023 SEIP | May 2023
Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW'23) | April 2023
Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW'23) | April 2023
ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW '23 | April 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
WWW'23 Companion | April 2023
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22) | December 2022
pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
SPINE: A Scalable Log Parser with Feedback Guidance
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
2022 Foundations of Software Engineering (FSE) | July 2022
SIGSOFT Distinguished Paper Award
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral Main Track | May 2022
Testing Machine Learning Systems in Industry: An Empirical Study
Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, Dongmei Zhang
ICSE 2022 | May 2022
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 Main Track | May 2022
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
TheWebConf 2022 | April 2022
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
TheWebConf 2022 | April 2022
GridBook: Natural Language Formulas for the Spreadsheet Grid
Sruti Srinivasa Ragavan, Zhitao Hou, Yun Wang, Andy Gordon, Haidong Zhang, Dongmei Zhang
International Conference on Intelligent User Interfaces | March 2022
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference
Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jian-Guang Lou, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | February 2022
Coarse-to-Fine Generative Modeling for Graphic Layouts
Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang
AAAI'22 | February 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
IJCAI 2021 | December 2021
Weakly Supervised Semantic Parsing by Learning from Mistakes
Jiaqi Guo, Jian-Guang Lou, Ting Liu, Dongmei Zhang
EMNLP'21 (Findings) | November 2021
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
HALO: Hierarchy-aware Fault Localization for Cloud Systems
Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
SigKDD 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2021 International Symposium on Software Reliability Engineering | September 2021
Best Research Paper
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
Effective Low Capacity Status Prediction for Cloud Systems
Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
ESEC/FSE'21 | August 2021
Intelligent container reallocation at Microsoft 365
Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
2021 Foundations of Software Engineering | August 2021
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21) | August 2021
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing
Yuntao LI, Bei Chen, Qian LIU, Yan Gao, Jian-Guang Lou, Yan ZHANG, Dongmei Zhang
IJCAI'21 | August 2021
Fighting the Fog of War: Automated Incident Detection for Cloud Systems
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization
Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics (Early Access) | July 2021
Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
ACL-IJCNLP 2021 (findings) | July 2021
Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Proceedings of International Conference on Web Search and Data Mining (WSDM'22) | May 2021
F3: Fault Forecasting Framework for Cloud Systems
Pu Zhao, Chuan Luo, Bo Qiao, Youjiang Wu, Yingnong Dang, Murali Chintalapati, Susy Yi, Paul Wang, Andrew Zhou, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang
May 2021
Iterative Utterance Segmentation for Neural Semantic Parsing
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
AAAI'21 | February 2021
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo GUO, Hualei ZHU, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
AAAI'21 | February 2021
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | January 2021, Vol 27(2): pp. 443-452
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Automated Software Engineering | December 2020
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Identifying linked incidents in large-scale online service systems
Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
ESEC/FSE'20 | November 2020
Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
Compositional Generalization by Learning Analytical Expressions
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
NeurIPS 2020 (spotlight paper) | November 2020
Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
NeurIPS'20 | November 2020
“What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
Yuntao LI, Bei Chen, Qian LIU, Yan Gao, Jian-Guang Lou, Dongmei Zhang
EMNLP'20 (full paper) | November 2020
Incomplete Utterance Rewriting as Semantic Segmentation
Qian LIU, Bei Chen, Jian-Guang Lou, Bin ZHOU, Dongmei Zhang
EMNLP'20 (full paper) | November 2020
Efficient Customer Incident Triage via Linking with System Incidents
Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'20 Industry) | November 2020
Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
arXiv | October 2020
Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM'20 (among five best paper nominees in full research track) | October 2020
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task
Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang
IJCAI 2020 | July 2020
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Qian Liu, Jiaqi Guo, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
IJCAI2020 | July 2020
You Impress Me: Dialogue Generation via Mutual Persona Perception
Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang
ACL 2020 | July 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
Data-Anonymous Encoding for Text-to-SQL Generation
Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang
2019 Empirical Methods in Natural Language Processing | December 2019
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
A Split-and-Recombine Approach for Follow-up Query Analysis
Qian LIU, Bei Chen, Haoyan LIU, Jian-Guang Lou, Lei Fang, Bin ZHOU, Dongmei Zhang
EMNLP | November 2019
Data-Anonymous Encoding for Text-to-SQL Generation
Zhen DONG, Shizhao SUN, Hongzhi LIU, Jian-Guang Lou, Dongmei Zhang
EMNLP | November 2019
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Jiaqi GUO, Zecheng Zhan, Yan GAO, Yan XIAO, Jian-Guang Lou, Ting LIU, Dongmei Zhang
ACL19 | August 2019
Cross-dataset time series anomaly detection for cloud systems
Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
USENIX ATC'19 | July 2019
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
FANDA: A Novel Approach to Perform Follow-up Query Analysis
Qian LIU, Bei Chen, Jian-Guang Lou, Ge JIN, Dongmei Zhang
AAAI19 | January 2019
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) | January 2019
Predicting Node Failure in Cloud Service Systems
Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
Qingwei Lin 林庆维, weichen Ke, ...
SigKDD 2018 | August 2018
Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, ..., Qingwei Lin, ...
USENIX ATC 2018 | July 2018
Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
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Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
CVPR'25 | June 2025
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang
ICCV 2023 | October 2023
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang
CVPR 2023 | June 2023
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ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Large Language Models Can Provide Accurate and Interpretable Incident Triage
Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | August 2024
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2024 | February 2024
UniLog: Automatic Logging via LLM and In-Context Learning
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
ICSE 2024 | February 2024
UFO: A UI-Focused Agent for Windows OS Interaction
Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
February 2024
Assess and Summarize: Improve Outage Understanding with Large Language Models
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ESEC/FSE 2023 | November 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
DSN | June 2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
ICSE 2023 | May 2023
CONAN: Diagnosing Batch Failures for Cloud Systems
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2023 SEIP | May 2023
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD'22 | August 2022
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
SPINE: A Scalable Log Parser with Feedback Guidance
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
2022 Foundations of Software Engineering (FSE) | July 2022
SIGSOFT Distinguished Paper Award
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
TheWebConf 2022 | April 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
HALO: Hierarchy-aware Fault Localization for Cloud Systems
Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
SigKDD 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2021 International Symposium on Software Reliability Engineering | September 2021
Best Research Paper
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
Onion: Identifying Incident-indicating Logs for Cloud Systems
Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
ESEC/FSE'21 | August 2021
Intelligent container reallocation at Microsoft 365
Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
2021 Foundations of Software Engineering | August 2021
Fighting the Fog of War: Automated Incident Detection for Cloud Systems
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
F3: Fault Forecasting Framework for Cloud Systems
Pu Zhao, Chuan Luo, Bo Qiao, Youjiang Wu, Yingnong Dang, Murali Chintalapati, Susy Yi, Paul Wang, Andrew Zhou, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang
May 2021
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
Systematically Debugging IoT Control System Correctness for Building Automation
Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
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CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2024 | February 2024
UniLog: Automatic Logging via LLM and In-Context Learning
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
ICSE 2024 | February 2024
UFO: A UI-Focused Agent for Windows OS Interaction
Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
February 2024
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
ESEC/FSE 2023 | November 2023
Assess and Summarize: Improve Outage Understanding with Large Language Models
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ESEC/FSE 2023 | November 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
ICSE 2023 | May 2023
CONAN: Diagnosing Batch Failures for Cloud Systems
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2023 SEIP | May 2023
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
SPINE: A Scalable Log Parser with Feedback Guidance
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
2022 Foundations of Software Engineering (FSE) | July 2022
SIGSOFT Distinguished Paper Award
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
Testing Machine Learning Systems in Industry: An Empirical Study
Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, Dongmei Zhang
ICSE 2022 | May 2022
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
TheWebConf 2022 | April 2022
GridBook: Natural Language Formulas for the Spreadsheet Grid
Sruti Srinivasa Ragavan, Zhitao Hou, Yun Wang, Andy Gordon, Haidong Zhang, Dongmei Zhang
International Conference on Intelligent User Interfaces | March 2022
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
Can neural clone detection generalize to unseen functionalities?
Chenyao Liu, Jian-Guang Lou, Zeqi Lin, Lijie Wen, Dongmei Zhang
2021 Automated Software Engineering | November 2021
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2021 International Symposium on Software Reliability Engineering | September 2021
Best Research Paper
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
Fighting the Fog of War: Automated Incident Detection for Cloud Systems
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME '21) | July 2021
Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
F3: Fault Forecasting Framework for Cloud Systems
Pu Zhao, Chuan Luo, Bo Qiao, Youjiang Wu, Yingnong Dang, Murali Chintalapati, Susy Yi, Paul Wang, Andrew Zhou, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang
May 2021
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Automated Software Engineering | December 2020
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Identifying linked incidents in large-scale online service systems
Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
ESEC/FSE'20 | November 2020
Efficient Customer Incident Triage via Linking with System Incidents
Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'20 Industry) | November 2020
CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang
MSR-TR-2020-16 | May 2020
Published by Microsoft
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
iDice: Problem Identification for Emerging Issues
Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
ICSE 2016 | January 2016
CodeHow: Effective Code Search based on API Understanding and Extended Boolean Model
Fei LV, hongyu zhang, Jian-Guang Lou, Shaowei WANG, Dongmei Zhang, Jianjun ZHAO, jianjun zhao
Automated Software Engineering (ASE2015) | August 2015
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
Rui Ding, ..., Qingwei Lin 林庆维, ...
USENIX ATC | July 2015
Where Do Developers Log? An Empirical Study on Logging Practices in Industry
Qiang Fu, ..., Qingwei Lin 林庆维, ...
ICSE 2014 | July 2014
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
Rui Ding, ..., Qingwei Lin 林庆维, ...
DSN | July 2014
Identifying Recurrent and Unknown Performance Issues
Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
ICDM | July 2014
Correlating Events with Time Series for Incident Diagnosis
Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
SigKDD'14 | July 2014
Software Analytics for Incident Management of Online Services: An Experience Report
Jian-Guang Lou, Qingwei Lin 林庆维, ...
ASE | November 2013
Contextual Analysis of Program Logs for Understanding System Behaviors
Qiang Fu, ..., Qingwei Lin 林庆维, ...
... | July 2013
“Can I Clone This Piece of Code Here?”
Xiaoyin Wang, Yingnong Dang, Lu Zhang, Dongmei Zhang, Erica Lan, Hong Mei
27th IEEE/ACM International Conference on Automated Software Engineering | September 2012
Healing Online Service Systems via Mining Historical Issue Repositories
Rui Ding, ..., Qingwei Lin 林庆维, ...
ASE 2012 | July 2012
Performance Issue Diagnosis for Online Service Systems
Qiang Fu, ..., Qingwei Lin 林庆维, ...
the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
Code Clone Detection Experience at Microsoft
Yingnong Dang, Dongmei Zhang
Proceedings of the 5th International Workshop on Software Clones | May 2011
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PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
How Do In-Context Examples Affect Compositional Generalization?
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
ACL 2023 | June 2023
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
ACL 2022 | May 2022
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 Main Track | May 2022
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
ACL-IJCNLP 2021 (findings) | July 2021
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang
EMNP'18 | November 2018
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AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
September 2024
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2022
Investigating the Role and Interplay of Narrations and Animations in Data Videos
Hao Cheng, Junhong Wang, Yun Wang, Bongshin Lee, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum (Proceedings of EuroVis 2022) | June 2022
GridBook: Natural Language Formulas for the Spreadsheet Grid
Sruti Srinivasa Ragavan, Zhitao Hou, Yun Wang, Andy Gordon, Haidong Zhang, Dongmei Zhang
International Conference on Intelligent User Interfaces | March 2022
A Mixed-Initiative Approach to Reusing Infographic Charts
Weiwei Cui, Jinpeng Wang, He Huang, Yun Wang, Chin-Yew Lin, Haidong Zhang, Dongmei Zhang
September 2021
IEEE VIS 2021
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization
Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics (Early Access) | July 2021
Animated Presentation of Static Infographics with InfoMotion
Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum | June 2021
Returning to the Office During the COVID-19 Pandemic Recovery: Early Indicators from China
Yun Wang, Ying Liu, Weiwei Cui, John Tang, Haidong Zhang, Doug Walston, Dongmei Zhang
Extended Abstracts of the CHI 2021 Conference on Human Factors in Computing Systems | May 2021
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | January 2021, Vol 27(2): pp. 443-452
Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
Practices around Working from Home and Early Indicators on Returning to Work after the COVID-19 Pandemic: Data from Microsoft China
Yun Wang, Ying Liu, Weiwei Cui, John Tang, Haidong Zhang, Doug Walston, Dongmei Zhang
August 2020
DataShot: Automatic Generation of Fact Sheets from Tabular Data
Yun Wang, Zhida Sun (intern), Haidong Zhang, Weiwei Cui, Ke Xu (intern), Xiaojuan Ma, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements
Weiwei Cui, Xiaoyu Zhang, Yun Wang, Ray Huang, Bei Chen, Lei Fang, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
InfoNice: Easy Creation of Information Graphics
Yun Wang, Haidong Zhang, Ray Huang, Xi Chen, Qiufeng Yin, Zhitao Hou, Dongmei Zhang, Qiong Luo, Huamin Qu
ACM CHI Conference on Human Factors in Computing Systems | April 2018
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Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
TheWebConf'24 | February 2024
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2024 | February 2024
UniLog: Automatic Logging via LLM and In-Context Learning
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
ICSE 2024 | February 2024
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
ESEC/FSE 2023 | November 2023
Assess and Summarize: Improve Outage Understanding with Large Language Models
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ESEC/FSE 2023 | November 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
2023 Knowledge Discovery and Data Mining | August 2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
ICSE 2023 | May 2023
CONAN: Diagnosing Batch Failures for Cloud Systems
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2023 SEIP | May 2023
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD'22 | August 2022
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
SPINE: A Scalable Log Parser with Feedback Guidance
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
2022 Foundations of Software Engineering (FSE) | July 2022
SIGSOFT Distinguished Paper Award
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
TheWebConf 2022 | April 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
IJCAI 2021 | December 2021
HALO: Hierarchy-aware Fault Localization for Cloud Systems
Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
SigKDD 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
Effective Low Capacity Status Prediction for Cloud Systems
Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
ESEC/FSE'21 | August 2021
Onion: Identifying Incident-indicating Logs for Cloud Systems
Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
ESEC/FSE'21 | August 2021
Fighting the Fog of War: Automated Incident Detection for Cloud Systems
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Automated Software Engineering | December 2020
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Identifying linked incidents in large-scale online service systems
Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
ESEC/FSE'20 | November 2020
Efficient Customer Incident Triage via Linking with System Incidents
Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'20 Industry) | November 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
Cross-dataset time series anomaly detection for cloud systems
Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
USENIX ATC'19 | July 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
Identifying Impactful Service System Problems via Log Analysis
Shilin He, Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Predicting Node Failure in Cloud Service Systems
Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, ..., Qingwei Lin, ...
USENIX ATC 2018 | July 2018
Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
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Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
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LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
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HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
CodeHow: Effective Code Search based on API Understanding and Extended Boolean Model
Fei LV, hongyu zhang, Jian-Guang Lou, Shaowei WANG, Dongmei Zhang, Jianjun ZHAO, jianjun zhao
Automated Software Engineering (ASE2015) | August 2015
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Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | January 2021, Vol 27(2): pp. 443-452
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE VIS 2020 | October 2020
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Publications by Type
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Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chun, Yeye He (yeyehe), Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval
Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
CVPR'25 | June 2025
ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang
Artificial Intelligence and Statistics 2025 | May 2025
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Haoyu Dong, Yuzhang Tian, Jianbo Zhao, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning
Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP '24) | November 2024
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
EMNLP'24 | November 2024
Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
IUI'25 | October 2024
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning
Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | October 2024
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior
Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang
2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | August 2024
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
ACL 2024 | August 2024
Large Language Models Can Provide Accurate and Interpretable Incident Triage
Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
2024 International Symposium on Software Reliability Engineering | August 2024
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang
Foundations of Software Engineering (FSE) | July 2024
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang
COLING-LREC'2024 | May 2024
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
EuroSys'24 | April 2024
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang
The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang
The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI '24) | February 2024
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective
Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie
TheWebConf'24 | February 2024
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2024 | February 2024
UniLog: Automatic Logging via LLM and In-Context Learning
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
ICSE 2024 | February 2024
STEAM: Observability-Preserving Trace Sampling
Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
ESEC/FSE 2023 | November 2023
Assess and Summarize: Improve Outage Understanding with Large Language Models
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ESEC/FSE 2023 | November 2023
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang
ICCV 2023 | October 2023
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang
NeurIPS 2023 | October 2023
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang
2023 Knowledge Discovery and Data Mining | August 2023
Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion
Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang
ACL 2023 MainTrack | July 2023
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads
Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang
DSN | June 2023
XInsight: eXplainable Data Analysis Through The Lens of Causality
Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang
2023 International Conference on Management of Data | June 2023
How Do In-Context Examples Affect Compositional Generalization?
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
ACL 2023 | June 2023
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang
CVPR 2023 | June 2023
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang
The 61st Annual Meeting of the Association for Computational Linguistics (ACL '23) | May 2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
ICSE 2023 | May 2023
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang
The Eleventh International Conference on Learning Representations (ICLR '23) | May 2023
CONAN: Diagnosing Batch Failures for Cloud Systems
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2023 SEIP | May 2023
Homophily-oriented Heterogeneous Graph Rewiring
Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
The Web Conference (WWW'23) | April 2023
Robust Mid-Pass Filtering Graph Convolutional Networks
Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
The Web Conference (WWW'23) | April 2023
ML4C: Seeing Causality Through Latent Vicinity
Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang
2023 SIAM International Conference on Data Mining | April 2023
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
WWW '23 | April 2023
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
WWW'23 Companion | April 2023
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs
Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP '22) | December 2022
Neuron with Steady Response Leads to Better Generalization
Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22) | December 2022
Towards Natural Language-Based Visualization Authoring
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2022
pureGAM: Learning an Inherently Pure Additive Model
Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
ML4S: Learning Causal Skeleton from Vicinal Graphs
Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
SIGKDD 2022 | August 2022
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach
Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
SIGKDD'22 | August 2022
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
SIGKDD 2022 | August 2022
SPINE: A Scalable Log Parser with Feedback Guidance
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
2022 Foundations of Software Engineering (FSE) | July 2022
SIGSOFT Distinguished Paper Award
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang
IJCAI'2022 SURVEY TRACK | July 2022
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang
EMNLP'22 Main Track | May 2022
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP'22 Oral Main Track | May 2022
Accelerating Code Search with Deep Hashing and Code Classification
Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu
ACL 2022 | May 2022
Testing Machine Learning Systems in Industry: An Empirical Study
Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, Dongmei Zhang
ICSE 2022 | May 2022
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang
ACL 2022 Main Track | May 2022
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
ACL 2022 Main Track | May 2022
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
TheWebConf 2022 | April 2022
Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
TheWebConf 2022 | April 2022
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
TheWebConf 2022 | April 2022
GridBook: Natural Language Formulas for the Spreadsheet Grid
Sruti Srinivasa Ragavan, Zhitao Hou, Yun Wang, Andy Gordon, Haidong Zhang, Dongmei Zhang
International Conference on Intelligent User Interfaces | March 2022
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun
International Conference on Software Engineering (ICSE'22) | February 2022
Coarse-to-Fine Generative Modeling for Graphic Layouts
Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang
AAAI'22 | February 2022
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin 林庆维, Dongmei Zhang
ICSE 2022 | January 2022
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda
IJCAI 2021 | December 2021
Can neural clone detection generalize to unseen functionalities?
Chenyao Liu, Jian-Guang Lou, Zeqi Lin, Lijie Wen, Dongmei Zhang
2021 Automated Software Engineering | November 2021
Weakly Supervised Semantic Parsing by Learning from Mistakes
Jiaqi Guo, Jian-Guang Lou, Ting Liu, Dongmei Zhang
EMNLP'21 (Findings) | November 2021
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
EMNLP 2021 | November 2021
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'21) | November 2021
Neuron Campaign for Initialization Guided by Information Bottleneck Theory
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
2021 Conference on Information and Knowledge Management | November 2021
Best Short Paper Award
HALO: Hierarchy-aware Fault Localization for Cloud Systems
Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
SigKDD 2021 | October 2021
How Long Will it Take to Mitigate this Incident for Online Service Systems
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2021 International Symposium on Software Reliability Engineering | September 2021
Best Research Paper
How Long Will it Take to Mitigate this Incident for Online Service Systems?
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
ISSRE'21 | September 2021
Best Research Paper
Effective Low Capacity Status Prediction for Cloud Systems
Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin 林庆维, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda
ESEC/FSE'21 | August 2021
Onion: Identifying Incident-indicating Logs for Cloud Systems
Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin 林庆维, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
ESEC/FSE'21 | August 2021
Intelligent container reallocation at Microsoft 365
Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang
2021 Foundations of Software Engineering | August 2021
Table2Charts: Recommending Charts by Learning Shared Table Representations
Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang
The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
Lun Du, Fei Gao, Xu Chen, Ran Jia (raji), Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD'21) | August 2021
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing
Yuntao LI, Bei Chen, Qian LIU, Yan Gao, Jian-Guang Lou, Yan ZHANG, Dongmei Zhang
IJCAI'21 | August 2021
Fighting the Fog of War: Automated Incident Detection for Cloud Systems
Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang
2021 USENIX Annual Technical Conference (USENIX ATC'21) | August 2021
TUTA: Tree-based Transformers for Generally Structured Table Pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia (raji), Jia Li, Zhiyi Fu, Shi Han (shihan), Dongmei Zhang (dongmeiz)
KDD | August 2021
On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
Proceedings of IEEE International Conference on Software Maintenance and Evolution (ICSME '21) | July 2021
Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
ACL-IJCNLP 2021 (findings) | July 2021
Semantic Table Structure Identification in Spreadsheets
Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Ye Dan
ISSTA | July 2021
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang
ACM SIGMOD International Conference on Management of Data | June 2021
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective
Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang
Proceedings of International Conference on Web Search and Data Mining (WSDM'22) | May 2021
Returning to the Office During the COVID-19 Pandemic Recovery: Early Indicators from China
Yun Wang, Ying Liu, Weiwei Cui, John Tang, Haidong Zhang, Doug Walston, Dongmei Zhang
Extended Abstracts of the CHI 2021 Conference on Human Factors in Computing Systems | May 2021
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang
ICSE 2022 | April 2021
Iterative Utterance Segmentation for Neural Semantic Parsing
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
AAAI'21 | February 2021
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo GUO, Hualei ZHU, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
AAAI'21 | February 2021
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems
Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin 林庆维, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Automated Software Engineering | December 2020
Towards intelligent incident management: why we need it and how we make it
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
2020 Foundations of Software Engineering | November 2020
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems.
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin 林庆维, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Identifying linked incidents in large-scale online service systems
Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin 林庆维, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
2020 Foundations of Software Engineering | November 2020
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search
Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin 林庆维, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang
ESEC/FSE'20 | November 2020
Compositional Generalization by Learning Analytical Expressions
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
NeurIPS 2020 (spotlight paper) | November 2020
Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo GUO, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
NeurIPS'20 | November 2020
“What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
Yuntao LI, Bei Chen, Qian LIU, Yan Gao, Jian-Guang Lou, Dongmei Zhang
EMNLP'20 (full paper) | November 2020
Incomplete Utterance Rewriting as Semantic Segmentation
Qian LIU, Bei Chen, Jian-Guang Lou, Bin ZHOU, Dongmei Zhang
EMNLP'20 (full paper) | November 2020
Efficient Customer Incident Triage via Linking with System Incidents
Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'20 Industry) | November 2020
Structure-aware Pre-training for Table Understanding with Tree-based Transformers
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
arXiv | October 2020
Neural Formatting for Spreadsheet Tables
Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
CIKM'20 (among five best paper nominees in full research track) | October 2020
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE VIS 2020 | October 2020
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
CIKM'20 (applied research track) | October 2020
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task
Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang
IJCAI 2020 | July 2020
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Qian Liu, Jiaqi Guo, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
IJCAI2020 | July 2020
You Impress Me: Dialogue Generation via Mutual Persona Perception
Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang
ACL 2020 | July 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
To appear in proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20) | February 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
Mengyu Zhou, Tao Wang, Pengxin Ji, Shi Han, Dongmei Zhang
The 34th AAAI Conference on Artificial Intelligence (AAAI '20) | February 2020
Reliable and Efficient Anytime Skeleton Learning
Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang
Thirty-Fourth AAAI Conference on Artificial Intelligence | February 2020
Prediction-Guided Design for Software Systems
Si Qin, Yong Xu, Shandan Zhou, Qingwei Lin 林庆维, Hongyu Zhang, Saurabh Agarwal, Karthikeyan Subramanian, Eli Cortez, John Miller, Chris Cowdery, Shanti Kemburu, Dongmei Zhang, Thomas Moscibroda
Cloud Intelligence Workshop, AAAI 2020 | January 2020
Data-Anonymous Encoding for Text-to-SQL Generation
Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang
2019 Empirical Methods in Natural Language Processing | December 2019
Semantic Structure Extraction for Spreadsheet Tables with a Multi-task Learning Architecture
Haoyu Dong, Shijie Liu, Zhouyu Fu, Shi Han, Dongmei Zhang
Workshop on Document Intelligence (DI 2019) at NeurIPS 2019 | December 2019
A Split-and-Recombine Approach for Follow-up Query Analysis
Qian LIU, Bei Chen, Haoyan LIU, Jian-Guang Lou, Lei Fang, Bin ZHOU, Dongmei Zhang
EMNLP | November 2019
Data-Anonymous Encoding for Text-to-SQL Generation
Zhen DONG, Shizhao SUN, Hongzhi LIU, Jian-Guang Lou, Dongmei Zhang
EMNLP | November 2019
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Jiaqi GUO, Zecheng Zhan, Yan GAO, Yan XIAO, Jian-Guang Lou, Ting LIU, Dongmei Zhang
ACL19 | August 2019
Cross-dataset time series anomaly detection for cloud systems
Xu Zhang, Qingwei Lin 林庆维, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
USENIX ATC'19 | July 2019
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data
Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang
Proceedings of the 2019 ACM International Conference on Management of Data (SIGMOD'19 industrial track) | June 2019
An Empirical Investigation of Incident Triage for Online Service Systems
Junjie Chen, Qingwei Lin, ...
ICSE‘19, Software Engineering In Practice | May 2019
Outage Prediction and Diagnosis for Cloud Service Systems
Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 The Web Conference | May 2019
FANDA: A Novel Approach to Perform Follow-up Query Analysis
Qian LIU, Bei Chen, Jian-Guang Lou, Ge JIN, Dongmei Zhang
AAAI19 | January 2019
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) | January 2019
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications
Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang
EMNP'18 | November 2018
Identifying Impactful Service System Problems via Log Analysis
Shilin He, Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Predicting Node Failure in Cloud Service Systems
Qingwei Lin 林庆维, ...
ESEC/FSE 2018 | November 2018
Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE'18 industrial track) | November 2018
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data
Qingwei Lin 林庆维, weichen Ke, ...
SigKDD 2018 | August 2018
Improving Service Availability of Cloud Systems by Predicting Disk Error
Yong Xu, ..., Qingwei Lin, ...
USENIX ATC 2018 | July 2018
InfoNice: Easy Creation of Information Graphics
Yun Wang, Haidong Zhang, Ray Huang, Xi Chen, Qiufeng Yin, Zhitao Hou, Dongmei Zhang, Qiong Luo, Huamin Qu
ACM CHI Conference on Human Factors in Computing Systems | April 2018
Systematically Debugging IoT Control System Correctness for Building Automation
Chieh-Jan Mike Liang, Lei Bu, Zhao Lucis Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao
BuildSys (ACM Conference on Systems for Energy-Efficient Built Environments) | November 2016
iDice: Problem Identification for Emerging Issues
Qingwei Lin 林庆维, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang
ICSE 2016 | January 2016
YADING: Fast Clustering of Large-Scale Time Series Data
Rui Ding, Qiang Wang, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang, Rui Ding
September 2015
CodeHow: Effective Code Search based on API Understanding and Extended Boolean Model
Fei LV, hongyu zhang, Jian-Guang Lou, Shaowei WANG, Dongmei Zhang, Jianjun ZHAO, jianjun zhao
Automated Software Engineering (ASE2015) | August 2015
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis
Rui Ding, ..., Qingwei Lin 林庆维, ...
USENIX ATC | July 2015
Where Do Developers Log? An Empirical Study on Logging Practices in Industry
Qiang Fu, ..., Qingwei Lin 林庆维, ...
ICSE 2014 | July 2014
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems
Rui Ding, ..., Qingwei Lin 林庆维, ...
DSN | July 2014
Identifying Recurrent and Unknown Performance Issues
Jian-Guang LOU, Meng-Hui Lim, Jian-Guang LOU, Qingwei Lin 林庆维, ...
ICDM | July 2014
Correlating Events with Time Series for Incident Diagnosis
Chen Luo, Jian-Guang Lou, Qingwei Lin 林庆维, Qiang Fu, Justin Ding, Dongmei Zhang, Zhe Wang
SigKDD'14 | July 2014
Software Analytics for Incident Management of Online Services: An Experience Report
Jian-Guang Lou, Qingwei Lin 林庆维, ...
ASE | November 2013
Contextual Analysis of Program Logs for Understanding System Behaviors
Qiang Fu, ..., Qingwei Lin 林庆维, ...
... | July 2013
“Can I Clone This Piece of Code Here?”
Xiaoyin Wang, Yingnong Dang, Lu Zhang, Dongmei Zhang, Erica Lan, Hong Mei
27th IEEE/ACM International Conference on Automated Software Engineering | September 2012
Healing Online Service Systems via Mining Historical Issue Repositories
Rui Ding, ..., Qingwei Lin 林庆维, ...
ASE 2012 | July 2012
Performance Issue Diagnosis for Online Service Systems
Qiang Fu, ..., Qingwei Lin 林庆维, ...
the 31st International Symposium on Reliable Distributed Systems (SRDS'12) | January 2012
Code Clone Detection Experience at Microsoft
Yingnong Dang, Dongmei Zhang
Proceedings of the 5th International Workshop on Software Clones | May 2011
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MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
February 2025
Enabling Autonomic Microservice Management through Self-Learning Agents
Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
January 2025
Sharingan: Extract user action sequence from desktop recordings
Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
November 2024
FXAM: A unified and fast interpretable model for predictive analytics
Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang
Expert Systems with Applications | October 2024, Vol 252
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
September 2024
The Vision of Autonomic Computing: Can LLMs Make It a Reality?
Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
July 2024
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
March 2024
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
ArXiv | November 2023, Vol abs/2311.04254
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
Empirical Software Engineering | October 2023
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
Investigating the Role and Interplay of Narrations and Animations in Data Videos
Hao Cheng, Junhong Wang, Yun Wang, Bongshin Lee, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum (Proceedings of EuroVis 2022) | June 2022
Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference
Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jian-Guang Lou, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | February 2022
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization
Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu
IEEE Transactions on Visualization and Computer Graphics (Early Access) | July 2021
Animated Presentation of Static Infographics with InfoMotion
Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang
Computer Graphics Forum | June 2021
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | January 2021, Vol 27(2): pp. 443-452
Chartem: Reviving Chart Images with Data Embedding
Jiayun Fu, Bin Benjamin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, Ray Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma
IEEE Transactions on Visualization and Computer Graphics | November 2020
DataShot: Automatic Generation of Fact Sheets from Tabular Data
Yun Wang, Zhida Sun (intern), Haidong Zhang, Weiwei Cui, Ke Xu (intern), Xiaojuan Ma, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements
Weiwei Cui, Xiaoyu Zhang, Yun Wang, Ray Huang, Bei Chen, Lei Fang, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang
IEEE Transactions on Visualization and Computer Graphics | November 2019
Systematically Ensuring The Confidence of Real Time Home Automation IoT Systems
Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Shan Lin, Dongmei Zhang, Xuandong Li
TCPS (ACM Transactions on Cyber-Physical Systems) | June 2018
Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin 林庆维, ...
Automated Software Engineering | December 2017, Vol 24: pp. 905-941
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UFO: A UI-Focused Agent for Windows OS Interaction
Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
February 2024
TaskWeaver: A Code-First Agent Framework
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
December 2023
A Mixed-Initiative Approach to Reusing Infographic Charts
Weiwei Cui, Jinpeng Wang, He Huang, Yun Wang, Chin-Yew Lin, Haidong Zhang, Dongmei Zhang
September 2021
IEEE VIS 2021
Practices around Working from Home and Early Indicators on Returning to Work after the COVID-19 Pandemic: Data from Microsoft China
Yun Wang, Ying Liu, Weiwei Cui, John Tang, Haidong Zhang, Doug Walston, Dongmei Zhang
August 2020
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F3: Fault Forecasting Framework for Cloud Systems
Pu Zhao, Chuan Luo, Bo Qiao, Youjiang Wu, Yingnong Dang, Murali Chintalapati, Susy Yi, Paul Wang, Andrew Zhou, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang
May 2021
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CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, Dongmei Zhang
MSR-TR-2020-16 | May 2020
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