An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
论文与出版物
按年份分类的论文与出版物
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dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma
ICLR | April 2025
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Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor
Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang
SOSP | November 2024
Automated Proof Generation for Rust Code via Self-Evolution
Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
ICLR 2025 | October 2024
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
DEX: Scalable Range Indexing on Disaggregated Memory
Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
VLDB (International Conference on Very Large Data Bases) | August 2024
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
OSDI 2024 | July 2024
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
OSDI | July 2024
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Chaofan Lin, Zhenhua Han, Chengruidong Zhang, Yuqing Yang, Fan Yang, Chen Chen, Lili Qiu
OSDI 2024 | May 2024
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 The Web Conference | May 2024
OneSparse: A Unified System for Multi-index Vector Search
Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
2024 The Web Conference | May 2024
An Empirical Study on Low GPU Utilization of Deep Learning Jobs
Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
ICSE 2024 | April 2024
The 46th International Conference on Software Engineering
LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search
Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan
NSDI 2024 | April 2024
Amanda: Unified Instrumentation Framework for Deep Neural Networks
Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
ASPLOS | April 2024
Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2024
Outstanding Paper Award
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PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
The 29th ACM Symposium on Operating Systems Principles | October 2023
SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
SOSP’23 | October 2023
Microsoft Research Blog
https://jokerchen.me/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
ICCV 2023 | October 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
ICCV 2023 | October 2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
KDD 2023 | August 2023
Optimizing Dynamic Neural Networks with Brainstorm
Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo
OSDI’23 | July 2023
VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
OSDI’23 | July 2023
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
Cong Guo, Jiaming Tang, Jingwen Leng, Weiming Hu, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
ISCA | June 2023
An Empirical Study on Quality Issues of Deep Learning Platform
Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters
Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou
EuroSys 2023 | May 2023
On Modular Learning of Distributed Systems for Predicting End-to-End Latency
Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2023
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
ASPLOS 2023 | March 2023
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The Case for Learning Machine Language
Guangda Liu, Chieh-Jan Mike Liang, Shijie Cao, Shuai Lu, Leendert van Doorn
ML for Systems at NeurIPS | December 2022
A Neural Corpus Indexer for Document Retrieval
Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
NeurIPS 2022 | November 2022
Outstanding Paper
ANT: Exploiting Adaptive Numerical Data Type for Low-Bit Deep Neural Network Quantization
Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
MICRO | October 2022
IEEE Micro Top Picks 2023 Honorable Mention
PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
Wei Zhang , Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo
2022 USENIX Annual Technical Conference | July 2022
Roller: Fast and Efficient Tensor Compilation for Deep Learning
Hongyu Zhu , Ruofan Wu , Yijia Diao , Shanbin Ke , Haoyu Li , Chen Zhang , Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon , Gennady Pekhimenko
The 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI’22) | July 2022
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
OSDI 2022 | July 2022
Tutel: Adaptive Mixture-of-Experts at Scale
Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
July 2022
Refty: Refinement Types for Valid Deep Learning Models
Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
ICSE 2022 | May 2022
The 44th International Conference on Software Engineering
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
CVPR 2022 | May 2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization by Distilling Knowledge from Dense Embeddings
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
SIGIR 2022 | April 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
ICLR 2022 | April 2022
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GLOW: Global Weighted Self-Attention Network for Web Search
Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo
2021 INTERNATIONAL CONFERENCE ON BIG DATA | November 2021
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
NeurIPS 2021 | November 2021
Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
A New Approach to Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
MSR-TR-2021-20 | August 2021
作者：Microsoft
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
August 2021
发布者： arXiv | August 2021
How Does Supernet Help in Neural Architecture Search?
Yuge Zhang, Quanlu Zhang, Yaming Yang
2nd Workshop on Neural Architecture Search at ICLR 2021 | July 2021
Resource-Guided Configuration Space Reduction for Deep Learning Models
Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2021 | May 2021
The 43rd International Conference on Software Engineering
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang
2021 The Web Conference | April 2021
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Adaptive Page Migration Policy With Huge Pages in Tiered Memory Systems
Taekyung Heo, Yang Wang, Wei Cui, Jaehyuk Huh, Lintao Zhang
IEEE Transactions on Computers | November 2020, 第 71 卷(1): pp. 53-68
Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
ESEC/FSE 2020 | November 2020
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Yuqi Wang, Yifan Xiong, Bin Wang
2020 Operating Systems Design and Implementation | November 2020
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI’20) | November 2020
Retiarii: A Deep Learning Exploratory-Training Framework
Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
2020 Operating Systems Design and Implementation | November 2020
Byzantine Ordered Consensus without Byzantine Oligarchy
Yunhao Zhang, Srinath Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
Operating Systems Design and Implementation (OSDI) | October 2020
Jay Lepreau Best Paper Award
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network
Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang
2020 International Joint Conference on Neural Network | July 2020
AutoSys: The Design and Operation of Learning-Augmented Systems
Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai
ATC (USENIX Annual Technical Conference) | July 2020
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
EMNLP 2020 | April 2020
Capuchin: Tensor-based GPU Memory Management for Deep Learning
Quan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian
ASPLOS | March 2020
Distributed Graph Computation Meets Machine Learning
Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
IEEE Transactions on Parallel and Distributed Systems | January 2020, 第 31 卷(7): pp. 1588-1604
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Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction
Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
ACM/IEEE Symposium on Edge Computing | November 2019
We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction
Chen Shi, Qi Chen, Lei Sha, Hui Xue, Sujian Li, Lintao Zhang (lintaoz), Houfeng Wang
2019 International conference natural language processing | October 2019
Accelerating Rule-matching Systems with Learned Rankers
Zhao Lucis Li, Chieh-Jan Mike Liang, Wei Bai, Qiming Zheng, Yongqiang Xiong, Guangzhong Sun
ATC (USENIX Annual Technical Conference) | July 2019
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
2019 USENIX Annual Technical Conference | July 2019
The Case for Learning-and-System Co-design
Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou
ACM SIGOPS Operating Systems Review | July 2019, 第 53 卷(1): pp. 68-74
Analysis of Large-Scale Multi-Tenant {GPU} Clusters for {DNN} Training Workloads
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
2019 USENIX Annual Technical Conference | May 2019
Low-Cost and Robust Geographic Opportunistic Routing in a Strip Topology Wireless Network
Chen Liu, Dingyi Fang, Xinyan Liu, Dan Xu, Xiaojiang Chen, Chieh-Jan Mike Liang, Baoying Liu, Zhanyong Tang
TOSN (ACM Transactions on Sensor Networks) | April 2019
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Fast Clustering with Flexible Balance Constraints
Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang
2018 International Conference on Big Data | December 2018
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
Chen Shi, Qi Chen, Lei Shan, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang
2018 Conference on Empirical Methods in Natural Language Processing | November 2018
SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines
Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai
ACM Symposium on Cloud Computing 2018 (SoCC 2018) | October 2018
Gandiva: Introspective Cluster Scheduling for Deep Learning
Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
Metis: Robustly Optimizing Tail Latencies of Cloud Systems
Zhao Lucis Li, Chieh-Jan Mike Liang, Wenjia He, Lianjie Zhu, Wenjun Dai, Jin Jiang, Guangzhong Sun
ATC (USENIX Annual Technical Conference) | 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
Multi-tenant GPU Clusters for Deep Learning Workloads: Analysis and Implications (TR)
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
MSR-TR-2018-13 | May 2018
作者：Microsoft
Towards Web-based Delta Synchronization for Cloud Storage Services
He Xiao, Zhenhua Li, Ennan Zhai, Tianyin Xu, Yang Li, Yunhao Liu, Quanlu Zhang, Yao Liu
16th USENIX Conference on File and Storage Technologies (FAST 2018) | February 2018
Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis
Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen
TMC (IEEE Transactions on Mobile Computing) | February 2018, 第 17 卷: pp. 279-292
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Systematically Testing Background Services of Mobile Apps
Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen
ASE (International Conference on Automated Software Engineering) | October 2017
TuX2: Distributed Graph Computation for Machine Learning
Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lidong Zhou
14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) | March 2017
ISBN: 978-1-931971-37-9
TennisMaster: An IMU-based Online Serve Performance Evaluation System
Disheng Yang, Jian Tang, Yang Huang, Chao Xu, Jinyang Li, Liang Hu, Jiao Zhang, Guobin Shen, Chieh-Jan Mike Liang, Hengchang Liu
AH (Augmented Human) | March 2017
Best Paper
Towards A Contextual and Scalable Automated-testing Service for Mobile Apps
Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen
HotMobile | February 2017
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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
TR-Spark: Transient Computing for Big Data Analytics
Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, Thomas Moscibroda
SoCC ’16 Proceedings of the Seventh ACM Symposium on Cloud Computing | October 2016
ISBN: 978-1-4503-4525-5
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DSwitch: a dual mode direct and network attached disk
Quanlu Zhang, Yafei Dai, Lintao Zhang
Sixth ACM Symposium on Cloud Computing (SoCC) | August 2015
GraM: Scaling Graph Computation to the Trillions
Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
SoCC 2015 | August 2015
The 6th ACM Symposium on Cloud Computing
Memory-Centric Data Storage for Mobile Systems
Jinglei Ren, Chieh-Jan Mike Liang, Yongwei Wu, Thomas Moscibroda
ATC (USENIX Annual Technical Conference) | July 2015
ImmortalGraph: A System for Storage and Analysis of Temporal Graphs
Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen, Fan Yang, Lidong Zhou
ACM Transactions on Storage (TOS) | July 2015
UStore: A Low Cost Cold and Archival Data Storage System for Data Centers
Quanlu Zhang, Fengqian Li, Yafei Dai, Lintao Zhang
35th IEEE International Conference on Distributed Computing Systems (ICDCS) | June 2015
SIFT: Building an Internet of Safe Things
Chieh-Jan Mike Liang, Börje F. Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Lucis Li, Yong Yu
IPSN (International Conference on Information Processing in Sensor Networks) | April 2015
How to Smash the Next Billion Mobile App Bugs?
Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath Sivalingam, Feng Zhao
ACM GetMobile: Mobile Computing and Communications | January 2015, 第 19 卷(1)
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Arming Cloud Services with Task Aspects
Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
MSR-TR-2014-150 | November 2014
作者：Microsoft
A Feasibility Study and Development Framework Design for Realizing Smartphone-based Vehicular Networking Systems
Yongtae Park, Jihun Ha, Seungho Kuk, Hyogon Kim, Chieh-Jan Mike Liang, JeongGil Ko
TMC (IEEE Transactions on Mobile Computing) | November 2014, 第 99 卷
RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks
Chieh-Jan Mike Liang, Kaifei Chen, Bodhi Priyantha, Jie Liu, Feng Zhao
SenSys (Conference on Embedded Networked Sensor Systems) | November 2014
Caiipa: Automated Large-scale Mobile App Testing through Contextual Fuzzing
Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Lyna Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao
MobiCom (International Conference on Mobile Computing and Networking) | September 2014
Low-Power and Topology-Free Data Transfer Protocol with Synchronous Packet Transmissions
Jongsoo Jeong, Jongjun Park, Hoon Jeong, JongArm Jun, Chieh-Jan Mike Liang, JeongGil Ko
SECON (Internation Conference on Sensing, Communication, and Networking) | July 2014
Chronos: A Graph Engine for Temporal Graph Analysis
Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen, Fan Yang, Lidong Zhou
EuroSys | April 2014
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Improving the Packet Delivery Performance for Concurrent Packet Transmissions in WSNs
Jongjun Park, Jongsoo Jeong, Hoon Jeong, Chieh-Jan Mike Liang, JeongGil Ko
IEEE Communications Letters | December 2013, 第 18 卷
Crossroads: A Framework for Developing Proximity-based Social Interactions
Chieh-Jan Mike Liang, Haozhun Jin, Yang Yang, Li Lyna Zhang, Feng Zhao
Mobiquitous (International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services) | December 2013
Reducing Energy Waste for Computers by Human-in-the-Loop Control
Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
TETC (IEEE Transactions on Emerging Topics in Computing) | September 2013, 第 2 卷(4)
New Cyber Physical System Challenges for Human-in-the-Loop Control
Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
Feedback Computing (International Workshop on Feedback Computing) | June 2013
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Accurate Real-Time Occupant Energy-Footprinting in Commercial Buildings
Yun Cheng, Kaifei Chen, Ben Zhang, Chieh-Jan Mike Liang, Xiaofan Jiang, Feng Zhao
BuildSys (ACM Workshop On Embedded Systems For Energy-Efficient Buildings) | November 2012
A-MAC: A Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
TOSN (ACM Transactions on Sensor Networks) | September 2012, 第 8 卷
Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
Best Demo
Kineograph: taking the pulse of a fast-changing and connected world
Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen
ACM Eurosys | April 2012
Sonora: A Platform for Continuous Mobile-Cloud Computing
Xiuwei Chen, Ivan Beschastnikh, Li Zhuang, Fan Yang, Zhengping Qian, Lidong Zhou, Guobin Shen, Jacky Shen
MSR-TR-2012-34 | March 2012
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ThermoCast: A Cyber-Physical Forecasting Model for Data Centers
Lei Li, Chieh-Jan Mike Liang, Jie Liu, Suman Nath, Andreas Terzis, Christos Faloutsos
KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | August 2011
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Surviving Wi-Fi Interference in Low Power ZigBee Networks
Chieh-Jan Mike Liang, Bodhi Priyantha, Jie Liu, Andreas Terzis
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
Design and Evaluation of a Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
(1) Best Paper. (2) Test of Time
Rethinking Multi-Channel Protocols in Wireless Sensor Networks
Chieh-Jan Mike Liang, Andreas Terzis
HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2010
Wireless Sensor Networks for Soil Science
Andreas Terzis, Răzvan Musăloiu-E., Joshua Cogan, Katalin Szlavecz, Alexander Szalay, Jim Gray, Stuart Ozer, Chieh-Jan Mike Liang, Jayant Gupchup, Randal Burns
IJSNet (International Journal of Sensor Networks) | February 2010, 第 7 卷
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RACNet: A High-Fidelity Data Center Sensing Network
Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas Terzis, Feng Zhao
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
TOSThreads: Thread-Safe and Non-Invasive Preemption in TinyOS
Kevin Klues, Chieh-Jan Mike Liang, Jeongyeup Paek, Răzvan Musăloiu-E., Philip Levis, Andreas Terzis, Ramesh Govindan
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
-
Project Genome: Wireless Sensor Network for Data Center Cooling
Jie Liu, Feng Zhao, Jeff O'Reilly, Amaya Souarez, Michael Manos, Chieh-Jan Mike Liang, Andreas Tersiz
The Architecture Journal | December 2008
Towards Discovering Data Center Genome Using Sensor Nets
Jie Liu, Bodhi Priyantha, Feng Zhao, Chieh-Jan Mike Liang, Qiang Wang, Sean James
HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2008
Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks
Razvan Musaloiu-E, Chieh-Jan Mike Liang, Andreas Terzis
IPSN (International Conference on Information Processing in Sensor Networks) | April 2008
Typhoon: A Reliable Data Dissemination Protocol for Wireless Sensor Networks
Chieh-Jan Mike Liang, Andreas Terzis, Răzvan Musăloiu-E.
EWSN (European Conference on Wireless Sensor Networks) | January 2008
-
Modeling path capacity in multi-hop IEEE 802.11 networks for QoS services
Kun Wang, Fan Yang, Qian Zhang, Yinlong Xu
IEEE Transactions on Wireless Communications | February 2007, 第 6 卷(2): pp. 738-749
DOI Publication Publication Publication Publication Publication
-
Distributed Channel Assignment and Routing in Multi-radio Multi-channel Multi-hop Wireless Networks
Haitao Wu, Fan Yang, Kun Tan, Jie Chen, Qian Zhang, Zhensheng Zhang
MSR-TR-2006-165 | November 2006
-
AMTP: a multipath multimedia streaming protocol for mobile ad hoc networks
K. Rojviboonchai, Fan Yang, Q. Zhang, H. Aida, W. Zhu
May 2005
-
LION: Layered Overlay Multicast with Network Coding
J. Zhao, Fan Yang, Q. Zhang, Zhensheng Zhang, Fuyan Zhang
IEEE Transactions on Multimedia | May 2004
End-to-End TCP-Friendly Streaming Protocol and Bit Allocation for Scalable Video over Wireless Internet
Q. Zhang, F. Yang, W. Zhu, Y.-Q. Zhang, Fan Yang
IEEE Journal on Selected Areas in Communications | February 2004, 第 22 卷(6)
按研究领域分类的论文与出版物
-
An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Automated Proof Generation for Rust Code via Self-Evolution
Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
ICLR 2025 | October 2024
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
OSDI | July 2024
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Chaofan Lin, Zhenhua Han, Chengruidong Zhang, Yuqing Yang, Fan Yang, Chen Chen, Lili Qiu
OSDI 2024 | May 2024
OneSparse: A Unified System for Multi-index Vector Search
Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
2024 The Web Conference | May 2024
An Empirical Study on Low GPU Utilization of Deep Learning Jobs
Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
ICSE 2024 | April 2024
The 46th International Conference on Software Engineering
Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2024
Outstanding Paper Award
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
The 29th ACM Symposium on Operating Systems Principles | October 2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
ICCV 2023 | October 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
ICCV 2023 | October 2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
KDD 2023 | August 2023
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
An Empirical Study on Quality Issues of Deep Learning Platform
Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
A Neural Corpus Indexer for Document Retrieval
Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
NeurIPS 2022 | November 2022
Outstanding Paper
Refty: Refinement Types for Valid Deep Learning Models
Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
ICSE 2022 | May 2022
The 44th International Conference on Software Engineering
Distill-VQ: Learning Retrieval Oriented Vector Quantization by Distilling Knowledge from Dense Embeddings
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
SIGIR 2022 | April 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
ICLR 2022 | April 2022
A New Approach to Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
MSR-TR-2021-20 | August 2021
作者：Microsoft
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
August 2021
发布者： arXiv | August 2021
How Does Supernet Help in Neural Architecture Search?
Yuge Zhang, Quanlu Zhang, Yaming Yang
2nd Workshop on Neural Architecture Search at ICLR 2021 | July 2021
Resource-Guided Configuration Space Reduction for Deep Learning Models
Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2021 | May 2021
The 43rd International Conference on Software Engineering
Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
ESEC/FSE 2020 | November 2020
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
EMNLP 2020 | April 2020
Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction
Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
ACM/IEEE Symposium on Edge Computing | November 2019
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
2019 USENIX Annual Technical Conference | July 2019
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
Chen Shi, Qi Chen, Lei Shan, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang
2018 Conference on Empirical Methods in Natural Language Processing | November 2018
-
An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Automated Proof Generation for Rust Code via Self-Evolution
Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
ICLR 2025 | October 2024
An Empirical Study on Low GPU Utilization of Deep Learning Jobs
Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
ICSE 2024 | April 2024
The 46th International Conference on Software Engineering
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
An Empirical Study on Quality Issues of Deep Learning Platform
Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
Refty: Refinement Types for Valid Deep Learning Models
Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
ICSE 2022 | May 2022
The 44th International Conference on Software Engineering
Resource-Guided Configuration Space Reduction for Deep Learning Models
Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2021 | May 2021
The 43rd International Conference on Software Engineering
Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
ESEC/FSE 2020 | November 2020
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
Arming Cloud Services with Task Aspects
Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
MSR-TR-2014-150 | November 2014
作者：Microsoft
-
An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma
ICLR | April 2025
Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor
Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang
SOSP | November 2024
Automated Proof Generation for Rust Code via Self-Evolution
Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
ICLR 2025 | October 2024
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
DEX: Scalable Range Indexing on Disaggregated Memory
Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
VLDB (International Conference on Very Large Data Bases) | August 2024
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
OSDI | July 2024
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
OSDI 2024 | July 2024
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 The Web Conference | May 2024
An Empirical Study on Low GPU Utilization of Deep Learning Jobs
Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
ICSE 2024 | April 2024
The 46th International Conference on Software Engineering
LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search
Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan
NSDI 2024 | April 2024
Amanda: Unified Instrumentation Framework for Deep Neural Networks
Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
ASPLOS | April 2024
Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2024
Outstanding Paper Award
SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
SOSP’23 | October 2023
Microsoft Research Blog
https://jokerchen.me/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
The 29th ACM Symposium on Operating Systems Principles | October 2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
ICCV 2023 | October 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
ICCV 2023 | October 2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
KDD 2023 | August 2023
Optimizing Dynamic Neural Networks with Brainstorm
Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo
OSDI’23 | July 2023
VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
OSDI’23 | July 2023
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
Cong Guo, Jiaming Tang, Jingwen Leng, Weiming Hu, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
ISCA | June 2023
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
An Empirical Study on Quality Issues of Deep Learning Platform
Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters
Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou
EuroSys 2023 | May 2023
On Modular Learning of Distributed Systems for Predicting End-to-End Latency
Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2023
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
ASPLOS 2023 | March 2023
The Case for Learning Machine Language
Guangda Liu, Chieh-Jan Mike Liang, Shijie Cao, Shuai Lu, Leendert van Doorn
ML for Systems at NeurIPS | December 2022
ANT: Exploiting Adaptive Numerical Data Type for Low-Bit Deep Neural Network Quantization
Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
MICRO | October 2022
IEEE Micro Top Picks 2023 Honorable Mention
PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
Wei Zhang , Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo
2022 USENIX Annual Technical Conference | July 2022
Tutel: Adaptive Mixture-of-Experts at Scale
Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
July 2022
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
OSDI 2022 | July 2022
Roller: Fast and Efficient Tensor Compilation for Deep Learning
Hongyu Zhu , Ruofan Wu , Yijia Diao , Shanbin Ke , Haoyu Li , Chen Zhang , Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon , Gennady Pekhimenko
The 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI’22) | July 2022
Refty: Refinement Types for Valid Deep Learning Models
Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
ICSE 2022 | May 2022
The 44th International Conference on Software Engineering
GLOW: Global Weighted Self-Attention Network for Web Search
Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo
2021 INTERNATIONAL CONFERENCE ON BIG DATA | November 2021
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
NeurIPS 2021 | November 2021
Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
A New Approach to Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
MSR-TR-2021-20 | August 2021
作者：Microsoft
Resource-Guided Configuration Space Reduction for Deep Learning Models
Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2021 | May 2021
The 43rd International Conference on Software Engineering
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang
2021 The Web Conference | April 2021
Adaptive Page Migration Policy With Huge Pages in Tiered Memory Systems
Taekyung Heo, Yang Wang, Wei Cui, Jaehyuk Huh, Lintao Zhang
IEEE Transactions on Computers | November 2020, 第 71 卷(1): pp. 53-68
Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
ESEC/FSE 2020 | November 2020
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Yuqi Wang, Yifan Xiong, Bin Wang
2020 Operating Systems Design and Implementation | November 2020
Retiarii: A Deep Learning Exploratory-Training Framework
Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
2020 Operating Systems Design and Implementation | November 2020
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI’20) | November 2020
Byzantine Ordered Consensus without Byzantine Oligarchy
Yunhao Zhang, Srinath Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
Operating Systems Design and Implementation (OSDI) | October 2020
Jay Lepreau Best Paper Award
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network
Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang
2020 International Joint Conference on Neural Network | July 2020
AutoSys: The Design and Operation of Learning-Augmented Systems
Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai
ATC (USENIX Annual Technical Conference) | July 2020
Capuchin: Tensor-based GPU Memory Management for Deep Learning
Quan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian
ASPLOS | March 2020
Distributed Graph Computation Meets Machine Learning
Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
IEEE Transactions on Parallel and Distributed Systems | January 2020, 第 31 卷(7): pp. 1588-1604
Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction
Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
ACM/IEEE Symposium on Edge Computing | November 2019
We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction
Chen Shi, Qi Chen, Lei Sha, Hui Xue, Sujian Li, Lintao Zhang (lintaoz), Houfeng Wang
2019 International conference natural language processing | October 2019
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
2019 USENIX Annual Technical Conference | July 2019
Accelerating Rule-matching Systems with Learned Rankers
Zhao Lucis Li, Chieh-Jan Mike Liang, Wei Bai, Qiming Zheng, Yongqiang Xiong, Guangzhong Sun
ATC (USENIX Annual Technical Conference) | July 2019
The Case for Learning-and-System Co-design
Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou
ACM SIGOPS Operating Systems Review | July 2019, 第 53 卷(1): pp. 68-74
Analysis of Large-Scale Multi-Tenant {GPU} Clusters for {DNN} Training Workloads
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
2019 USENIX Annual Technical Conference | May 2019
Low-Cost and Robust Geographic Opportunistic Routing in a Strip Topology Wireless Network
Chen Liu, Dingyi Fang, Xinyan Liu, Dan Xu, Xiaojiang Chen, Chieh-Jan Mike Liang, Baoying Liu, Zhanyong Tang
TOSN (ACM Transactions on Sensor Networks) | April 2019
Fast Clustering with Flexible Balance Constraints
Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang
2018 International Conference on Big Data | December 2018
SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines
Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai
ACM Symposium on Cloud Computing 2018 (SoCC 2018) | October 2018
Gandiva: Introspective Cluster Scheduling for Deep Learning
Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
Metis: Robustly Optimizing Tail Latencies of Cloud Systems
Zhao Lucis Li, Chieh-Jan Mike Liang, Wenjia He, Lianjie Zhu, Wenjun Dai, Jin Jiang, Guangzhong Sun
ATC (USENIX Annual Technical Conference) | 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
Multi-tenant GPU Clusters for Deep Learning Workloads: Analysis and Implications (TR)
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
MSR-TR-2018-13 | May 2018
作者：Microsoft
Towards Web-based Delta Synchronization for Cloud Storage Services
He Xiao, Zhenhua Li, Ennan Zhai, Tianyin Xu, Yang Li, Yunhao Liu, Quanlu Zhang, Yao Liu
16th USENIX Conference on File and Storage Technologies (FAST 2018) | February 2018
Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis
Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen
TMC (IEEE Transactions on Mobile Computing) | February 2018, 第 17 卷: pp. 279-292
Systematically Testing Background Services of Mobile Apps
Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen
ASE (International Conference on Automated Software Engineering) | October 2017
TuX2: Distributed Graph Computation for Machine Learning
Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lidong Zhou
14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) | March 2017
ISBN: 978-1-931971-37-9
TennisMaster: An IMU-based Online Serve Performance Evaluation System
Disheng Yang, Jian Tang, Yang Huang, Chao Xu, Jinyang Li, Liang Hu, Jiao Zhang, Guobin Shen, Chieh-Jan Mike Liang, Hengchang Liu
AH (Augmented Human) | March 2017
Best Paper
Towards A Contextual and Scalable Automated-testing Service for Mobile Apps
Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen
HotMobile | February 2017
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
TR-Spark: Transient Computing for Big Data Analytics
Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, Thomas Moscibroda
SoCC ’16 Proceedings of the Seventh ACM Symposium on Cloud Computing | October 2016
ISBN: 978-1-4503-4525-5
DSwitch: a dual mode direct and network attached disk
Quanlu Zhang, Yafei Dai, Lintao Zhang
Sixth ACM Symposium on Cloud Computing (SoCC) | August 2015
GraM: Scaling Graph Computation to the Trillions
Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
SoCC 2015 | August 2015
The 6th ACM Symposium on Cloud Computing
Memory-Centric Data Storage for Mobile Systems
Jinglei Ren, Chieh-Jan Mike Liang, Yongwei Wu, Thomas Moscibroda
ATC (USENIX Annual Technical Conference) | July 2015
ImmortalGraph: A System for Storage and Analysis of Temporal Graphs
Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen, Fan Yang, Lidong Zhou
ACM Transactions on Storage (TOS) | July 2015
UStore: A Low Cost Cold and Archival Data Storage System for Data Centers
Quanlu Zhang, Fengqian Li, Yafei Dai, Lintao Zhang
35th IEEE International Conference on Distributed Computing Systems (ICDCS) | June 2015
SIFT: Building an Internet of Safe Things
Chieh-Jan Mike Liang, Börje F. Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Lucis Li, Yong Yu
IPSN (International Conference on Information Processing in Sensor Networks) | April 2015
How to Smash the Next Billion Mobile App Bugs?
Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath Sivalingam, Feng Zhao
ACM GetMobile: Mobile Computing and Communications | January 2015, 第 19 卷(1)
Arming Cloud Services with Task Aspects
Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
MSR-TR-2014-150 | November 2014
作者：Microsoft
RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks
Chieh-Jan Mike Liang, Kaifei Chen, Bodhi Priyantha, Jie Liu, Feng Zhao
SenSys (Conference on Embedded Networked Sensor Systems) | November 2014
A Feasibility Study and Development Framework Design for Realizing Smartphone-based Vehicular Networking Systems
Yongtae Park, Jihun Ha, Seungho Kuk, Hyogon Kim, Chieh-Jan Mike Liang, JeongGil Ko
TMC (IEEE Transactions on Mobile Computing) | November 2014, 第 99 卷
Caiipa: Automated Large-scale Mobile App Testing through Contextual Fuzzing
Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Lyna Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao
MobiCom (International Conference on Mobile Computing and Networking) | September 2014
Low-Power and Topology-Free Data Transfer Protocol with Synchronous Packet Transmissions
Jongsoo Jeong, Jongjun Park, Hoon Jeong, JongArm Jun, Chieh-Jan Mike Liang, JeongGil Ko
SECON (Internation Conference on Sensing, Communication, and Networking) | July 2014
Chronos: A Graph Engine for Temporal Graph Analysis
Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen, Fan Yang, Lidong Zhou
EuroSys | April 2014
Improving the Packet Delivery Performance for Concurrent Packet Transmissions in WSNs
Jongjun Park, Jongsoo Jeong, Hoon Jeong, Chieh-Jan Mike Liang, JeongGil Ko
IEEE Communications Letters | December 2013, 第 18 卷
Crossroads: A Framework for Developing Proximity-based Social Interactions
Chieh-Jan Mike Liang, Haozhun Jin, Yang Yang, Li Lyna Zhang, Feng Zhao
Mobiquitous (International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services) | December 2013
Reducing Energy Waste for Computers by Human-in-the-Loop Control
Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
TETC (IEEE Transactions on Emerging Topics in Computing) | September 2013, 第 2 卷(4)
New Cyber Physical System Challenges for Human-in-the-Loop Control
Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
Feedback Computing (International Workshop on Feedback Computing) | June 2013
Accurate Real-Time Occupant Energy-Footprinting in Commercial Buildings
Yun Cheng, Kaifei Chen, Ben Zhang, Chieh-Jan Mike Liang, Xiaofan Jiang, Feng Zhao
BuildSys (ACM Workshop On Embedded Systems For Energy-Efficient Buildings) | November 2012
A-MAC: A Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
TOSN (ACM Transactions on Sensor Networks) | September 2012, 第 8 卷
Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
Best Demo
Kineograph: taking the pulse of a fast-changing and connected world
Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen
ACM Eurosys | April 2012
Sonora: A Platform for Continuous Mobile-Cloud Computing
Xiuwei Chen, Ivan Beschastnikh, Li Zhuang, Fan Yang, Zhengping Qian, Lidong Zhou, Guobin Shen, Jacky Shen
MSR-TR-2012-34 | March 2012
ThermoCast: A Cyber-Physical Forecasting Model for Data Centers
Lei Li, Chieh-Jan Mike Liang, Jie Liu, Suman Nath, Andreas Terzis, Christos Faloutsos
KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | August 2011
Surviving Wi-Fi Interference in Low Power ZigBee Networks
Chieh-Jan Mike Liang, Bodhi Priyantha, Jie Liu, Andreas Terzis
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
Design and Evaluation of a Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
(1) Best Paper. (2) Test of Time
Rethinking Multi-Channel Protocols in Wireless Sensor Networks
Chieh-Jan Mike Liang, Andreas Terzis
HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2010
Wireless Sensor Networks for Soil Science
Andreas Terzis, Răzvan Musăloiu-E., Joshua Cogan, Katalin Szlavecz, Alexander Szalay, Jim Gray, Stuart Ozer, Chieh-Jan Mike Liang, Jayant Gupchup, Randal Burns
IJSNet (International Journal of Sensor Networks) | February 2010, 第 7 卷
RACNet: A High-Fidelity Data Center Sensing Network
Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas Terzis, Feng Zhao
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
TOSThreads: Thread-Safe and Non-Invasive Preemption in TinyOS
Kevin Klues, Chieh-Jan Mike Liang, Jeongyeup Paek, Răzvan Musăloiu-E., Philip Levis, Andreas Terzis, Ramesh Govindan
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
Towards Discovering Data Center Genome Using Sensor Nets
Jie Liu, Bodhi Priyantha, Feng Zhao, Chieh-Jan Mike Liang, Qiang Wang, Sean James
HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2008
Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks
Razvan Musaloiu-E, Chieh-Jan Mike Liang, Andreas Terzis
IPSN (International Conference on Information Processing in Sensor Networks) | April 2008
Typhoon: A Reliable Data Dissemination Protocol for Wireless Sensor Networks
Chieh-Jan Mike Liang, Andreas Terzis, Răzvan Musăloiu-E.
EWSN (European Conference on Wireless Sensor Networks) | January 2008
Distributed Channel Assignment and Routing in Multi-radio Multi-channel Multi-hop Wireless Networks
Haitao Wu, Fan Yang, Kun Tan, Jie Chen, Qian Zhang, Zhensheng Zhang
MSR-TR-2006-165 | November 2006
End-to-End TCP-Friendly Streaming Protocol and Bit Allocation for Scalable Video over Wireless Internet
Q. Zhang, F. Yang, W. Zhu, Y.-Q. Zhang, Fan Yang
IEEE Journal on Selected Areas in Communications | February 2004, 第 22 卷(6)
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RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
EMNLP 2020 | April 2020
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MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 The Web Conference | May 2024
GLOW: Global Weighted Self-Attention Network for Web Search
Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo
2021 INTERNATIONAL CONFERENCE ON BIG DATA | November 2021
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
NeurIPS 2021 | November 2021
Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang
2021 The Web Conference | April 2021
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Privacy-preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
CVPR 2022 | May 2022
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Byzantine Ordered Consensus without Byzantine Oligarchy
Yunhao Zhang, Srinath Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
Operating Systems Design and Implementation (OSDI) | October 2020
Jay Lepreau Best Paper Award
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Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
Best Demo
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Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
Best Demo
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Project Genome: Wireless Sensor Network for Data Center Cooling
Jie Liu, Feng Zhao, Jeff O'Reilly, Amaya Souarez, Michael Manos, Chieh-Jan Mike Liang, Andreas Tersiz
The Architecture Journal | December 2008
-
Modeling path capacity in multi-hop IEEE 802.11 networks for QoS services
Kun Wang, Fan Yang, Qian Zhang, Yinlong Xu
IEEE Transactions on Wireless Communications | February 2007, 第 6 卷(2): pp. 738-749
DOI Publication Publication Publication Publication Publication
AMTP: a multipath multimedia streaming protocol for mobile ad hoc networks
K. Rojviboonchai, Fan Yang, Q. Zhang, H. Aida, W. Zhu
May 2005
LION: Layered Overlay Multicast with Network Coding
J. Zhao, Fan Yang, Q. Zhang, Zhensheng Zhang, Fuyan Zhang
IEEE Transactions on Multimedia | May 2004
按类型分类的论文与出版物
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An Empirical Study of Issues in Large Language Model Training Systems
Yanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation
Haoxiang Lin, Yang Wang, Yanjie Gao, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Ideas, Visions and Reflections Track
dl²: Detecting Communication Deadlocks in Deep Learning Jobs
Yanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
FSE 2025 | June 2025
The ACM International Conference on the Foundations of Software Engineering, Industry Track
Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma
ICLR | April 2025
Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor
Siran Liu, Chengxiang Qi, Ying Cao, Chao Yang, Weifang Hu, Xuanhua Shi, Fan Yang, Mao Yang
SOSP | November 2024
Automated Proof Generation for Rust Code via Self-Evolution
Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu Lahiri, Tao Xie, Lidong Zhou
ICLR 2025 | October 2024
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
ENLSP NeurIPS Workshop 2024 | September 2024
Best Paper Award
DEX: Scalable Range Indexing on Disaggregated Memory
Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
VLDB (International Conference on Very Large Data Bases) | August 2024
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou
OSDI | July 2024
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang
OSDI 2024 | July 2024
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Chaofan Lin, Zhenhua Han, Chengruidong Zhang, Yuqing Yang, Fan Yang, Chen Chen, Lili Qiu
OSDI 2024 | May 2024
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Zheng Liu, Mingqin Li, Chuanjie Liu, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
2024 The Web Conference | May 2024
OneSparse: A Unified System for Multi-index Vector Search
Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang
2024 The Web Conference | May 2024
An Empirical Study on Low GPU Utilization of Deep Learning Jobs
Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang
ICSE 2024 | April 2024
The 46th International Conference on Software Engineering
LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search
Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan
NSDI 2024 | April 2024
Amanda: Unified Instrumentation Framework for Deep Neural Networks
Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
ASPLOS | April 2024
Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices
Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2024
Outstanding Paper Award
SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li , Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
SOSP’23 | October 2023
Microsoft Research Blog
https://jokerchen.me/en-us/research/blog/unified-database-laying-the-foundation-for-large-language-model-vertical-applications/
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
Ningxin Zheng, Huiqiang Jiang, Quanlu Zhang, Zhenhua Han, Lingxiao Ma, Yuqing Yang, Fan Yang, Chengruidong Zhang, Lili Qiu, Mao Yang, Lidong Zhou
The 29th ACM Symposium on Operating Systems Principles | October 2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
ICCV 2023 | October 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
ICCV 2023 | October 2023
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference
Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
KDD 2023 | August 2023
Optimizing Dynamic Neural Networks with Brainstorm
Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo
OSDI’23 | July 2023
VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
Qianxi Zhang, Shuotao Xu, Qi Chen, Guoxin Sui, Jiadong Xie, Zhizhen Cai, Yaoqi Chen, Yinxuan He, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
OSDI’23 | July 2023
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
Cong Guo, Jiaming Tang, Jingwen Leng, Weiming Hu, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
ISCA | June 2023
Runtime Performance Prediction for Deep Learning Models with Graph Neural Network
Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
An Empirical Study on Quality Issues of Deep Learning Platform
Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang
ICSE 2023 | May 2023
The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track
SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters
Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou
EuroSys 2023 | May 2023
On Modular Learning of Distributed Systems for Predicting End-to-End Latency
Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2023
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
ASPLOS 2023 | March 2023
The Case for Learning Machine Language
Guangda Liu, Chieh-Jan Mike Liang, Shijie Cao, Shuai Lu, Leendert van Doorn
ML for Systems at NeurIPS | December 2022
A Neural Corpus Indexer for Document Retrieval
Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
NeurIPS 2022 | November 2022
Outstanding Paper
ANT: Exploiting Adaptive Numerical Data Type for Low-Bit Deep Neural Network Quantization
Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
MICRO | October 2022
IEEE Micro Top Picks 2023 Honorable Mention
PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
Wei Zhang , Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo
2022 USENIX Annual Technical Conference | July 2022
Tutel: Adaptive Mixture-of-Experts at Scale
Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
July 2022
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou
OSDI 2022 | July 2022
Roller: Fast and Efficient Tensor Compilation for Deep Learning
Hongyu Zhu , Ruofan Wu , Yijia Diao , Shanbin Ke , Haoyu Li , Chen Zhang , Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon , Gennady Pekhimenko
The 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI’22) | July 2022
Refty: Refinement Types for Valid Deep Learning Models
Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang
ICSE 2022 | May 2022
The 44th International Conference on Software Engineering
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
CVPR 2022 | May 2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization by Distilling Knowledge from Dense Embeddings
Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
SIGIR 2022 | April 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
ICLR 2022 | April 2022
GLOW: Global Weighted Self-Attention Network for Web Search
Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo
2021 INTERNATIONAL CONFERENCE ON BIG DATA | November 2021
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang, Mao Yang, Jingdong Wang
NeurIPS 2021 | November 2021
Spotlight presentation, Microsoft News: https://news.microsoft.com/source/features/innovation/bing-vector-search/
How Does Supernet Help in Neural Architecture Search?
Yuge Zhang, Quanlu Zhang, Yaming Yang
2nd Workshop on Neural Architecture Search at ICLR 2021 | July 2021
Resource-Guided Configuration Space Reduction for Deep Learning Models
Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang
ICSE 2021 | May 2021
The 43rd International Conference on Software Engineering
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang
2021 The Web Conference | April 2021
Estimating GPU Memory Consumption of Deep Learning Models
Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang
ESEC/FSE 2020 | November 2020
The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Fan Yang, Lidong Zhou, Mao Yang, Yuqi Wang, Yifan Xiong, Bin Wang
2020 Operating Systems Design and Implementation | November 2020
Retiarii: A Deep Learning Exploratory-Training Framework
Quanlu Zhang, Zhenhua Han, Fan Yang, Yuge Zhang, Zhe Liu, Mao Yang, Lidong Zhou
2020 Operating Systems Design and Implementation | November 2020
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI’20) | November 2020
Byzantine Ordered Consensus without Byzantine Oligarchy
Yunhao Zhang, Srinath Setty, Qi Chen, Lidong Zhou, Lorenzo Alvisi
Operating Systems Design and Implementation (OSDI) | October 2020
Jay Lepreau Best Paper Award
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network
Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang
2020 International Joint Conference on Neural Network | July 2020
AutoSys: The Design and Operation of Learning-Augmented Systems
Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai
ATC (USENIX Annual Technical Conference) | July 2020
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong (YIMING), Linjun Shou (寿林钧), Daxin Jiang (姜大昕), Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Ming Zhou
EMNLP 2020 | April 2020
Capuchin: Tensor-based GPU Memory Management for Deep Learning
Quan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian
ASPLOS | March 2020
Collaborative Learning between Cloud and End Devices: An Empirical Study on Location Prediction
Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei
ACM/IEEE Symposium on Edge Computing | November 2019
We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction
Chen Shi, Qi Chen, Lei Sha, Hui Xue, Sujian Li, Lintao Zhang (lintaoz), Houfeng Wang
2019 International conference natural language processing | October 2019
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs
Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai
2019 USENIX Annual Technical Conference | July 2019
Accelerating Rule-matching Systems with Learned Rankers
Zhao Lucis Li, Chieh-Jan Mike Liang, Wei Bai, Qiming Zheng, Yongqiang Xiong, Guangzhong Sun
ATC (USENIX Annual Technical Conference) | July 2019
Analysis of Large-Scale Multi-Tenant {GPU} Clusters for {DNN} Training Workloads
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
2019 USENIX Annual Technical Conference | May 2019
Fast Clustering with Flexible Balance Constraints
Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang
2018 International Conference on Big Data | December 2018
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning
Chen Shi, Qi Chen, Lei Shan, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang
2018 Conference on Empirical Methods in Natural Language Processing | November 2018
SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines
Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai
ACM Symposium on Cloud Computing 2018 (SoCC 2018) | October 2018
Gandiva: Introspective Cluster Scheduling for Deep Learning
Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou
13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018) | October 2018
Metis: Robustly Optimizing Tail Latencies of Cloud Systems
Zhao Lucis Li, Chieh-Jan Mike Liang, Wenjia He, Lianjie Zhu, Wenjun Dai, Jin Jiang, Guangzhong Sun
ATC (USENIX Annual Technical Conference) | July 2018
Towards Web-based Delta Synchronization for Cloud Storage Services
He Xiao, Zhenhua Li, Ennan Zhai, Tianyin Xu, Yang Li, Yunhao Liu, Quanlu Zhang, Yao Liu
16th USENIX Conference on File and Storage Technologies (FAST 2018) | February 2018
Systematically Testing Background Services of Mobile Apps
Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen
ASE (International Conference on Automated Software Engineering) | October 2017
TuX2: Distributed Graph Computation for Machine Learning
Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lidong Zhou
14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) | March 2017
ISBN: 978-1-931971-37-9
TennisMaster: An IMU-based Online Serve Performance Evaluation System
Disheng Yang, Jian Tang, Yang Huang, Chao Xu, Jinyang Li, Liang Hu, Jiao Zhang, Guobin Shen, Chieh-Jan Mike Liang, Hengchang Liu
AH (Augmented Human) | March 2017
Best Paper
Towards A Contextual and Scalable Automated-testing Service for Mobile Apps
Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen
HotMobile | February 2017
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
TR-Spark: Transient Computing for Big Data Analytics
Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, Thomas Moscibroda
SoCC ’16 Proceedings of the Seventh ACM Symposium on Cloud Computing | October 2016
ISBN: 978-1-4503-4525-5
DSwitch: a dual mode direct and network attached disk
Quanlu Zhang, Yafei Dai, Lintao Zhang
Sixth ACM Symposium on Cloud Computing (SoCC) | August 2015
GraM: Scaling Graph Computation to the Trillions
Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou
SoCC 2015 | August 2015
The 6th ACM Symposium on Cloud Computing
Memory-Centric Data Storage for Mobile Systems
Jinglei Ren, Chieh-Jan Mike Liang, Yongwei Wu, Thomas Moscibroda
ATC (USENIX Annual Technical Conference) | July 2015
UStore: A Low Cost Cold and Archival Data Storage System for Data Centers
Quanlu Zhang, Fengqian Li, Yafei Dai, Lintao Zhang
35th IEEE International Conference on Distributed Computing Systems (ICDCS) | June 2015
SIFT: Building an Internet of Safe Things
Chieh-Jan Mike Liang, Börje F. Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Lucis Li, Yong Yu
IPSN (International Conference on Information Processing in Sensor Networks) | April 2015
RushNet: Practical Traffic Prioritization for Saturated Wireless Sensor Networks
Chieh-Jan Mike Liang, Kaifei Chen, Bodhi Priyantha, Jie Liu, Feng Zhao
SenSys (Conference on Embedded Networked Sensor Systems) | November 2014
Caiipa: Automated Large-scale Mobile App Testing through Contextual Fuzzing
Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Lyna Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao
MobiCom (International Conference on Mobile Computing and Networking) | September 2014
Low-Power and Topology-Free Data Transfer Protocol with Synchronous Packet Transmissions
Jongsoo Jeong, Jongjun Park, Hoon Jeong, JongArm Jun, Chieh-Jan Mike Liang, JeongGil Ko
SECON (Internation Conference on Sensing, Communication, and Networking) | July 2014
Chronos: A Graph Engine for Temporal Graph Analysis
Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen, Fan Yang, Lidong Zhou
EuroSys | April 2014
Crossroads: A Framework for Developing Proximity-based Social Interactions
Chieh-Jan Mike Liang, Haozhun Jin, Yang Yang, Li Lyna Zhang, Feng Zhao
Mobiquitous (International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services) | December 2013
New Cyber Physical System Challenges for Human-in-the-Loop Control
Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
Feedback Computing (International Workshop on Feedback Computing) | June 2013
Accurate Real-Time Occupant Energy-Footprinting in Commercial Buildings
Yun Cheng, Kaifei Chen, Ben Zhang, Chieh-Jan Mike Liang, Xiaofan Jiang, Feng Zhao
BuildSys (ACM Workshop On Embedded Systems For Energy-Efficient Buildings) | November 2012
Design and Evaluation of a Wireless Magnetic-based Proximity Detection Platform for Indoor Applications
Xiaofan (Fred) Jiang, Chieh-Jan Mike Liang, Kaifei Chen, Ben Zhang, Jeff Hsu, Jie Liu, Bin Cao, Feng Zhao
IPSN (International Conference on Information Processing in Sensor Networks) | April 2012
Best Demo
Kineograph: taking the pulse of a fast-changing and connected world
Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen
ACM Eurosys | April 2012
ThermoCast: A Cyber-Physical Forecasting Model for Data Centers
Lei Li, Chieh-Jan Mike Liang, Jie Liu, Suman Nath, Andreas Terzis, Christos Faloutsos
KDD (ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | August 2011
Surviving Wi-Fi Interference in Low Power ZigBee Networks
Chieh-Jan Mike Liang, Bodhi Priyantha, Jie Liu, Andreas Terzis
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
Design and Evaluation of a Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2010
(1) Best Paper. (2) Test of Time
Rethinking Multi-Channel Protocols in Wireless Sensor Networks
Chieh-Jan Mike Liang, Andreas Terzis
HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2010
RACNet: A High-Fidelity Data Center Sensing Network
Chieh-Jan Mike Liang, Jie Liu, Liqian Luo, Andreas Terzis, Feng Zhao
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
TOSThreads: Thread-Safe and Non-Invasive Preemption in TinyOS
Kevin Klues, Chieh-Jan Mike Liang, Jeongyeup Paek, Răzvan Musăloiu-E., Philip Levis, Andreas Terzis, Ramesh Govindan
SenSys (ACM Conference on Embedded Network Sensor Systems) | November 2009
Towards Discovering Data Center Genome Using Sensor Nets
Jie Liu, Bodhi Priyantha, Feng Zhao, Chieh-Jan Mike Liang, Qiang Wang, Sean James
HotEmNets (ACM Workshop on Hot Topics in Embedded Networked Sensors) | June 2008
Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks
Razvan Musaloiu-E, Chieh-Jan Mike Liang, Andreas Terzis
IPSN (International Conference on Information Processing in Sensor Networks) | April 2008
Typhoon: A Reliable Data Dissemination Protocol for Wireless Sensor Networks
Chieh-Jan Mike Liang, Andreas Terzis, Răzvan Musăloiu-E.
EWSN (European Conference on Wireless Sensor Networks) | January 2008
AMTP: a multipath multimedia streaming protocol for mobile ad hoc networks
K. Rojviboonchai, Fan Yang, Q. Zhang, H. Aida, W. Zhu
May 2005
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Adaptive Page Migration Policy With Huge Pages in Tiered Memory Systems
Taekyung Heo, Yang Wang, Wei Cui, Jaehyuk Huh, Lintao Zhang
IEEE Transactions on Computers | November 2020, 第 71 卷(1): pp. 53-68
Distributed Graph Computation Meets Machine Learning
Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
IEEE Transactions on Parallel and Distributed Systems | January 2020, 第 31 卷(7): pp. 1588-1604
The Case for Learning-and-System Co-design
Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou
ACM SIGOPS Operating Systems Review | July 2019, 第 53 卷(1): pp. 68-74
Low-Cost and Robust Geographic Opportunistic Routing in a Strip Topology Wireless Network
Chen Liu, Dingyi Fang, Xinyan Liu, Dan Xu, Xiaojiang Chen, Chieh-Jan Mike Liang, Baoying Liu, Zhanyong Tang
TOSN (ACM Transactions on Sensor Networks) | April 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
Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis
Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen
TMC (IEEE Transactions on Mobile Computing) | February 2018, 第 17 卷: pp. 279-292
ImmortalGraph: A System for Storage and Analysis of Temporal Graphs
Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen, Fan Yang, Lidong Zhou
ACM Transactions on Storage (TOS) | July 2015
How to Smash the Next Billion Mobile App Bugs?
Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath Sivalingam, Feng Zhao
ACM GetMobile: Mobile Computing and Communications | January 2015, 第 19 卷(1)
A Feasibility Study and Development Framework Design for Realizing Smartphone-based Vehicular Networking Systems
Yongtae Park, Jihun Ha, Seungho Kuk, Hyogon Kim, Chieh-Jan Mike Liang, JeongGil Ko
TMC (IEEE Transactions on Mobile Computing) | November 2014, 第 99 卷
Improving the Packet Delivery Performance for Concurrent Packet Transmissions in WSNs
Jongjun Park, Jongsoo Jeong, Hoon Jeong, Chieh-Jan Mike Liang, JeongGil Ko
IEEE Communications Letters | December 2013, 第 18 卷
Reducing Energy Waste for Computers by Human-in-the-Loop Control
Sirajum Munir, John A. Stankovic, Chieh-Jan Mike Liang, Shan Lin
TETC (IEEE Transactions on Emerging Topics in Computing) | September 2013, 第 2 卷(4)
A-MAC: A Versatile and Efficient Receiver-Initiated Link Layer for Low-Power Wireless
Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
TOSN (ACM Transactions on Sensor Networks) | September 2012, 第 8 卷
Wireless Sensor Networks for Soil Science
Andreas Terzis, Răzvan Musăloiu-E., Joshua Cogan, Katalin Szlavecz, Alexander Szalay, Jim Gray, Stuart Ozer, Chieh-Jan Mike Liang, Jayant Gupchup, Randal Burns
IJSNet (International Journal of Sensor Networks) | February 2010, 第 7 卷
Project Genome: Wireless Sensor Network for Data Center Cooling
Jie Liu, Feng Zhao, Jeff O'Reilly, Amaya Souarez, Michael Manos, Chieh-Jan Mike Liang, Andreas Tersiz
The Architecture Journal | December 2008
Modeling path capacity in multi-hop IEEE 802.11 networks for QoS services
Kun Wang, Fan Yang, Qian Zhang, Yinlong Xu
IEEE Transactions on Wireless Communications | February 2007, 第 6 卷(2): pp. 738-749
DOI Publication Publication Publication Publication Publication
LION: Layered Overlay Multicast with Network Coding
J. Zhao, Fan Yang, Q. Zhang, Zhensheng Zhang, Fuyan Zhang
IEEE Transactions on Multimedia | May 2004
End-to-End TCP-Friendly Streaming Protocol and Bit Allocation for Scalable Video over Wireless Internet
Q. Zhang, F. Yang, W. Zhu, Y.-Q. Zhang, Fan Yang
IEEE Journal on Selected Areas in Communications | February 2004, 第 22 卷(6)
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AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
August 2021
发布者： arXiv | August 2021
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A New Approach to Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Mao Yang, Lidong Zhou
MSR-TR-2021-20 | August 2021
作者：Microsoft
Multi-tenant GPU Clusters for Deep Learning Workloads: Analysis and Implications (TR)
Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang
MSR-TR-2018-13 | May 2018
作者：Microsoft
Arming Cloud Services with Task Aspects
Zhenyu Guo, Cheng Chen, Haoxiang Lin, Sean McDirmid, Fan Yang, Xueying Guo, Mao Yang, Lidong Zhou
MSR-TR-2014-150 | November 2014
作者：Microsoft
Sonora: A Platform for Continuous Mobile-Cloud Computing
Xiuwei Chen, Ivan Beschastnikh, Li Zhuang, Fan Yang, Zhengping Qian, Lidong Zhou, Guobin Shen, Jacky Shen
MSR-TR-2012-34 | March 2012
Distributed Channel Assignment and Routing in Multi-radio Multi-channel Multi-hop Wireless Networks
Haitao Wu, Fan Yang, Kun Tan, Jie Chen, Qian Zhang, Zhensheng Zhang
MSR-TR-2006-165 | November 2006