M365 Research

Pioneering advancements in AI and Systems

Publications

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Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu

CVPR’25 | June 2025

Preprint

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

MLSys ’25 | May 2025

Publication

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025

Publication

Towards Cloud Efficiency with Large-scale Workload Characterization

A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal

ICPE | May 2025

Preprint

Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era

Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal

ICSE SEIP ’25 | April 2025

Distinguished Paper Award

Preprint

Performance Aware LLM Load Balancer for Mixed Workloads

Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

EuroMLSys 2025 | April 2025

Publication Projet

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale

Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky

ArXiv | February 2025

Publication

The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text

Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Reza Shokri, Shruti Tople

February 2025

DOI Preprint Projet

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

February 2025

Publication

Towards Efficient Large Multimodal Model Serving

Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca

February 2025

Preprint Projet Projet

Triangle: Empowering Incident Triage with Multi-LLM-Agents

Zhaoyang Yu, Minghua Ma, Xiaoyong Feng, Ruomeng Ding, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维

February 2025

Preprint

Enabling Autonomic Microservice Management through Self-Learning Agents

Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

January 2025

Preprint
TurboAttention: Efficient Attention Approximation For High Throughputs LLMs

Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Ruehle, Saravan Rajmohan

ArXiv | December 2024, Vol abs/2412.08585

DOI Publication Publication

Ensuring Fair LLM Serving Amid Diverse Applications

Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng

ArXiv | November 2024

Publication

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

EMNLP’24 | November 2024

Preprint

Sharingan: Extract user action sequence from desktop recordings

Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

November 2024

Preprint

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction

Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan

October 2024

Publication Projet

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

IUI’25 | October 2024

Publication

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

September 2024

Preprint

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky

ArXiv | August 2024, Vol abs/2408.13510

Preprint

Large Language Models Can Provide Accurate and Interpretable Incident Triage

Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | August 2024

Publication

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

X-lifecycle Learning for Cloud Incident Management using LLMs

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang

Foundations of Software Engineering (FSE) | July 2024

DOI Publication

Exploring LLM-based Agents for Root Cause Analysis

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024

Publication Projet

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

July 2024

Preprint

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

NeurIPS 2024 | June 2024

DOI Publication Publication

Designing Cloud Servers for Lower Carbon

Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman

ISCA | June 2024

Publication

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini

ISCA | June 2024

Publication

LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication

Dependency Aware Incident Linking in Large Cloud Systems

Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan

The Web Conference (WWW) | May 2024

Publication

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim

ICLR 2024 | May 2024

Publication Publication Github Projet

Intelligent Overclocking for Improved Cloud Efficiency

Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal

AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024

Preprint

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan

NSDI 2024 | April 2024

Publication Publication Github Projet Projet

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

ArXiv | April 2024, Vol abs/2404.19143

Preprint

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

April 2024

Preprint

Predict; Don’t React for Enabling Efficient Fine-Grain DVFS in GPUs

Srikant Bharadwaj, Shomit Das, K. Mazumdar, Bradford M. Beckmann, Stephen Kosonocky

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems | March 2024

Publication DOI Publication

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024

Preprint Projet

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruehle, Laks V. S. Lakshmanan, Ahmed Awadallah

ICLR 2024 | February 2024

Publication

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective

Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie

TheWebConf’24 | February 2024

DOI Publication

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle

February 2024

Preprint

Advancing differential privacy: where we are now and future directions for real-world deployment

Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Yangsibo Huang, Matthew Jagielski, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Da Yu, Sergey Yekhanin, Huanyu Zhang, Wanrong Zhang

Harvard Data Science Review | January 2024, Vol 6(1)

Publication Projet
NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Training Private and Efficient Language Models with Synthetic Data from LLMs

Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang

NeurIPS 2023 SoLaR Workshop | December 2023

Publication Projet

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ArXiv | November 2023, Vol abs/2311.04254

DOI Publication Publication

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Anastasios Kyrillidis, Robert Sim

ArXiv | October 2023, Vol abs/2310.02842

DOI Publication Publication Publication

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

September 2023

Publication

Secure Floating-Point Training

Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song

Usenix Security Symposium 2023 | August 2023

Publication Projet

Project Florida: Federated Learning Made Easy

Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim

| July 2023

Publié par Microsoft

Publication Projet

Bayesian Estimation of Differential Privacy

Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones

2023 International Conference on Machine Learning | July 2023

Rédacteur(s) en chef: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho

Publication Projet

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang

DSN | June 2023

Publication

Analyzing Leakage of Personally Identifiable Information in Language Models

Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin

2023 IEEE Symposium on Security and Privacy | May 2023

Publication PDF DOI Projet

Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping

Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

International Conference on Learning Representations (ICLR) 2023 | May 2023

Publication Projet

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin

2023 IEEE Symposium on Security and Privacy | May 2023

Publication PDF DOI Projet

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs

Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023

Publication

Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

COLT 2023 | February 2023

Publication Projet
Differentially Private Model Compression

Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni

NeurIPS 2022 | November 2022

Publication Projet

When does differentially private learning not suffer in high dimensions?

Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin Inan, Janardhan (Jana) Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta

NeurIPS’22 | November 2022

Publication Projet

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

Membership Inference Attacks and Generalization: A Causal Perspective

Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena

Computer and Communications Security (CCS) | November 2022

Publication Projet

How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service

Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath

SoCC 2022 | November 2022

Best Paper Award

Publication PDF Projet

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS

ICPR | August 2022

Publication

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

IJCAI-ECAI’22 | August 2022

Publication Projet

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost

Nishanth Chandran, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Akash Shah

USENIX Security | August 2022

USENIX Security 2022

Publication Projet

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

dp-transformers: Training transformer models with differential privacy

Huseyin Inan, Andre Manoel, Lukas Wutschitz

July 2022

Publication Projet

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis

Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis

2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’22) | July 2022

Publication Projet

Private Convex Optimization in General Norms

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

SODA 2023 | July 2022

Publication Projet

Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF

Nishanth Chandran, Divya Gupta, Akash Shah

22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022

Publication Projet

Personalized Federated Learning with Adaptive Batchnorm for Healthcare

Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, Tao Qin

IEEE Transactions on Big Data | May 2022

Preprint Publication Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation

Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi

43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022) | May 2022

Publication Projet

Differentially private fine-tuning of language models

Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan (Jana) Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

ICLR 2022 | April 2022

Publication Projet

SoftNER: Mining knowledge graphs from Cloud Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empirical Software Engineering | April 2022, Vol 27(4)

Publication

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim

March 2022

Preprint Github Projet

Private Convex Optimization via Exponential Mechanism

Sivakanth Gopi, Yin Tat Lee, Daogao Liu

COLT 2022 | March 2022

Publication Projet
HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Intelligent container reallocation at Microsoft 365

Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang

2021 Foundations of Software Engineering | August 2021

DOI Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Neural Knowledge Extraction From Cloud Service Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann

43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

Publication Projet Projet Projet
DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

ICSE 2020 | May 2020

PDF Projet

Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar

Networked System Design and Implementation (NSDI) | February 2020

Publication Projet
WhoDo: Automating Reviewer Suggestions at Scale

Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok

ESEC/FSE 2019 | August 2019

Publication Projet

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Chandra Maddila, Chetan Bansal, Nachi Nagappan

ESEC/FSE 2019 | August 2019

Publication Projet

Building sankie: an AI platform for DevOps

Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019

Publication Projet

FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services

Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan

International Conference on Software Engineering | May 2019

Publication Projet

EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning

Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi

IEEE European Symposium on Security and Privacy | February 2019

Publication Vidéo Github Projet
Orca: Differential Bug Localization in Large-Scale Services

Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip

13th USENIX Symposium on Operating Systems Design and Implementation | October 2018

Won the Jay Lepreau Best Paper Award

Publication Projet

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu

CVPR’25 | June 2025

Preprint

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025

Publication

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

MLSys ’25 | May 2025

Publication

Towards Cloud Efficiency with Large-scale Workload Characterization

A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal

ICPE | May 2025

Preprint

Performance Aware LLM Load Balancer for Mixed Workloads

Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

EuroMLSys 2025 | April 2025

Publication Projet

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale

Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky

ArXiv | February 2025

Publication

The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text

Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Reza Shokri, Shruti Tople

February 2025

DOI Preprint Projet

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

February 2025

Publication

Towards Efficient Large Multimodal Model Serving

Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca

February 2025

Preprint Projet Projet

Enabling Autonomic Microservice Management through Self-Learning Agents

Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

January 2025

Preprint

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs

Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Ruehle, Saravan Rajmohan

ArXiv | December 2024, Vol abs/2412.08585

DOI Publication Publication

Ensuring Fair LLM Serving Amid Diverse Applications

Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng

ArXiv | November 2024

Publication

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

Sharingan: Extract user action sequence from desktop recordings

Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

November 2024

Preprint

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

EMNLP’24 | November 2024

Preprint

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

IUI’25 | October 2024

Publication

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan

October 2024

Publication Projet

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

September 2024

Preprint

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky

ArXiv | August 2024, Vol abs/2408.13510

Preprint

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

X-lifecycle Learning for Cloud Incident Management using LLMs

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang

Foundations of Software Engineering (FSE) | July 2024

DOI Publication

Exploring LLM-based Agents for Root Cause Analysis

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024

Publication Projet

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

July 2024

Preprint

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

NeurIPS 2024 | June 2024

DOI Publication Publication

LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication

Dependency Aware Incident Linking in Large Cloud Systems

Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan

The Web Conference (WWW) | May 2024

Publication

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim

ICLR 2024 | May 2024

Publication Publication Github Projet

Intelligent Overclocking for Improved Cloud Efficiency

Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal

AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024

Preprint

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

April 2024

Preprint

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024

Preprint Projet

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruehle, Laks V. S. Lakshmanan, Ahmed Awadallah

ICLR 2024 | February 2024

Publication

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle

February 2024

Preprint

NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Training Private and Efficient Language Models with Synthetic Data from LLMs

Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang

NeurIPS 2023 SoLaR Workshop | December 2023

Publication Projet

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ArXiv | November 2023, Vol abs/2311.04254

DOI Publication Publication

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Anastasios Kyrillidis, Robert Sim

ArXiv | October 2023, Vol abs/2310.02842

DOI Publication Publication Publication

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

September 2023

Publication

Project Florida: Federated Learning Made Easy

Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim

| July 2023

Publié par Microsoft

Publication Projet

Bayesian Estimation of Differential Privacy

Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones

2023 International Conference on Machine Learning | July 2023

Rédacteur(s) en chef: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho

Publication Projet

Analyzing Leakage of Personally Identifiable Information in Language Models

Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin

2023 IEEE Symposium on Security and Privacy | May 2023

Publication PDF DOI Projet

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin

2023 IEEE Symposium on Security and Privacy | May 2023

Publication PDF DOI Projet

Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping

Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

International Conference on Learning Representations (ICLR) 2023 | May 2023

Publication Projet

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

Differentially Private Model Compression

Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni

NeurIPS 2022 | November 2022

Publication Projet

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

Membership Inference Attacks and Generalization: A Causal Perspective

Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena

Computer and Communications Security (CCS) | November 2022

Publication Projet

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS

ICPR | August 2022

Publication

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

IJCAI-ECAI’22 | August 2022

Publication Projet

dp-transformers: Training transformer models with differential privacy

Huseyin Inan, Andre Manoel, Lukas Wutschitz

July 2022

Publication Projet

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis

Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis

2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’22) | July 2022

Publication Projet

Personalized Federated Learning with Adaptive Batchnorm for Healthcare

Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, Tao Qin

IEEE Transactions on Big Data | May 2022

Preprint Publication Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

SoftNER: Mining knowledge graphs from Cloud Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empirical Software Engineering | April 2022, Vol 27(4)

Publication

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim

March 2022

Preprint Github Projet

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Intelligent container reallocation at Microsoft 365

Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang

2021 Foundations of Software Engineering | August 2021

DOI Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Neural Knowledge Extraction From Cloud Service Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann

43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

Publication Projet Projet Projet

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Chandra Maddila, Chetan Bansal, Nachi Nagappan

ESEC/FSE 2019 | August 2019

Publication Projet
ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025

Publication

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

MLSys ’25 | May 2025

Publication

Towards Cloud Efficiency with Large-scale Workload Characterization

A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal

ICPE | May 2025

Preprint

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale

Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky

ArXiv | February 2025

Publication

Triangle: Empowering Incident Triage with Multi-LLM-Agents

Zhaoyang Yu, Minghua Ma, Xiaoyong Feng, Ruomeng Ding, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维

February 2025

Preprint

Towards Efficient Large Multimodal Model Serving

Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca

February 2025

Preprint Projet Projet

Ensuring Fair LLM Serving Amid Diverse Applications

Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng

ArXiv | November 2024

Publication

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky

ArXiv | August 2024, Vol abs/2408.13510

Preprint

Large Language Models Can Provide Accurate and Interpretable Incident Triage

Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | August 2024

Publication

Designing Cloud Servers for Lower Carbon

Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman

ISCA | June 2024

Publication

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini

ISCA | June 2024

Publication

LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication

Intelligent Overclocking for Improved Cloud Efficiency

Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal

AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024

Preprint

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

ArXiv | April 2024, Vol abs/2404.19143

Preprint

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan

NSDI 2024 | April 2024

Publication Publication Github Projet Projet

NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

September 2023

Publication

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang

DSN | June 2023

Publication

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs

Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023

Publication

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service

Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath

SoCC 2022 | November 2022

Best Paper Award

Publication PDF Projet

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Intelligent container reallocation at Microsoft 365

Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang

2021 Foundations of Software Engineering | August 2021

DOI Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

ICSE 2020 | May 2020

PDF Projet

Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar

Networked System Design and Implementation (NSDI) | February 2020

Publication Projet

Building sankie: an AI platform for DevOps

Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019

Publication Projet

FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services

Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan

International Conference on Software Engineering | May 2019

Publication Projet

Orca: Differential Bug Localization in Large-Scale Services

Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip

13th USENIX Symposium on Operating Systems Design and Implementation | October 2018

Won the Jay Lepreau Best Paper Award

Publication Projet
Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu

CVPR’25 | June 2025

Preprint
The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text

Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Reza Shokri, Shruti Tople

February 2025

DOI Preprint Projet

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim

ICLR 2024 | May 2024

Publication Publication Github Projet

Advancing differential privacy: where we are now and future directions for real-world deployment

Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Yangsibo Huang, Matthew Jagielski, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Da Yu, Sergey Yekhanin, Huanyu Zhang, Wanrong Zhang

Harvard Data Science Review | January 2024, Vol 6(1)

Publication Projet

Secure Floating-Point Training

Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song

Usenix Security Symposium 2023 | August 2023

Publication Projet

Bayesian Estimation of Differential Privacy

Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones

2023 International Conference on Machine Learning | July 2023

Rédacteur(s) en chef: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho

Publication Projet

Analyzing Leakage of Personally Identifiable Information in Language Models

Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin

2023 IEEE Symposium on Security and Privacy | May 2023

Publication PDF DOI Projet

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin

2023 IEEE Symposium on Security and Privacy | May 2023

Publication PDF DOI Projet

Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping

Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

International Conference on Learning Representations (ICLR) 2023 | May 2023

Publication Projet

Membership Inference Attacks and Generalization: A Causal Perspective

Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena

Computer and Communications Security (CCS) | November 2022

Publication Projet

SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost

Nishanth Chandran, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Akash Shah

USENIX Security | August 2022

USENIX Security 2022

Publication Projet

dp-transformers: Training transformer models with differential privacy

Huseyin Inan, Andre Manoel, Lukas Wutschitz

July 2022

Publication Projet

Private Convex Optimization in General Norms

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

SODA 2023 | July 2022

Publication Projet

Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF

Nishanth Chandran, Divya Gupta, Akash Shah

22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022

Publication Projet

SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation

Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi

43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022) | May 2022

Publication Projet

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim

March 2022

Preprint Github Projet

Private Convex Optimization via Exponential Mechanism

Sivakanth Gopi, Yin Tat Lee, Daogao Liu

COLT 2022 | March 2022

Publication Projet

EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning

Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi

IEEE European Symposium on Security and Privacy | February 2019

Publication Vidéo Github Projet
AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

MLSys ’25 | May 2025

Publication

Triangle: Empowering Incident Triage with Multi-LLM-Agents

Zhaoyang Yu, Minghua Ma, Xiaoyong Feng, Ruomeng Ding, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维

February 2025

Preprint

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

Publication Projet Projet Projet
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction

Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

Exploring LLM-based Agents for Root Cause Analysis

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024

Publication Projet

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan

NSDI 2024 | April 2024

Publication Publication Github Projet Projet

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective

Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie

TheWebConf’24 | February 2024

DOI Publication

NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

COLT 2023 | February 2023

Publication Projet

Differentially Private Model Compression

Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni

NeurIPS 2022 | November 2022

Publication Projet

When does differentially private learning not suffer in high dimensions?

Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin Inan, Janardhan (Jana) Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta

NeurIPS’22 | November 2022

Publication Projet

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

IJCAI-ECAI’22 | August 2022

Publication Projet

Private Convex Optimization in General Norms

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

SODA 2023 | July 2022

Publication Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

Differentially private fine-tuning of language models

Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan (Jana) Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

ICLR 2022 | April 2022

Publication Projet

Private Convex Optimization via Exponential Mechanism

Sivakanth Gopi, Yin Tat Lee, Daogao Liu

COLT 2022 | March 2022

Publication Projet

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

Publication Projet Projet Projet
Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era

Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal

ICSE SEIP ’25 | April 2025

Distinguished Paper Award

Preprint

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan

October 2024

Publication Projet

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service

Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath

SoCC 2022 | November 2022

Best Paper Award

Publication PDF Projet

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

SoftNER: Mining knowledge graphs from Cloud Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empirical Software Engineering | April 2022, Vol 27(4)

Publication

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Neural Knowledge Extraction From Cloud Service Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann

43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021

DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

ICSE 2020 | May 2020

PDF Projet

Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar

Networked System Design and Implementation (NSDI) | February 2020

Publication Projet

WhoDo: Automating Reviewer Suggestions at Scale

Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok

ESEC/FSE 2019 | August 2019

Publication Projet

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Chandra Maddila, Chetan Bansal, Nachi Nagappan

ESEC/FSE 2019 | August 2019

Publication Projet

Building sankie: an AI platform for DevOps

Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019

Publication Projet

FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services

Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan

International Conference on Software Engineering | May 2019

Publication Projet

EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning

Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi

IEEE European Symposium on Security and Privacy | February 2019

Publication Vidéo Github Projet
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

September 2024

Preprint
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

NeurIPS 2024 | June 2024

DOI Publication Publication
LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication

Predict; Don’t React for Enabling Efficient Fine-Grain DVFS in GPUs

Srikant Bharadwaj, Shomit Das, K. Mazumdar, Bradford M. Beckmann, Stephen Kosonocky

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems | March 2024

Publication DOI Publication
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024

Preprint Projet

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis

Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis

2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’22) | July 2022

Publication Projet
Advancing differential privacy: where we are now and future directions for real-world deployment

Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Yangsibo Huang, Matthew Jagielski, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Da Yu, Sergey Yekhanin, Huanyu Zhang, Wanrong Zhang

Harvard Data Science Review | January 2024, Vol 6(1)

Publication Projet

Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

COLT 2023 | February 2023

Publication Projet

Private Convex Optimization in General Norms

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

SODA 2023 | July 2022

Publication Projet

Private Convex Optimization via Exponential Mechanism

Sivakanth Gopi, Yin Tat Lee, Daogao Liu

COLT 2022 | March 2022

Publication Projet

Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval

Yuanmin Tang, Xiaoting Qin, Jue Zhang, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu

CVPR’25 | June 2025

Preprint

ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud

Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025

Publication

AIOpsLab: A Holistic Framework for Evaluating AI Agents for Enabling Autonomous Cloud

Yinfang Chen, Manish Shetty, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Jonathan Mace, Chetan Bansal, Rujia Wang, Saravan Rajmohan

MLSys ’25 | May 2025

Publication

Towards Cloud Efficiency with Large-scale Workload Characterization

A. Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Chetan Bansal

ICPE | May 2025

Preprint

Time Warp: The Gap Between Developers’ Ideal vs Actual Workweeks in an AI-Driven Era

Sukrit Kumar, Drishti Goel, Tom Zimmermann, Brian Houck, B. Ashok, Chetan Bansal

ICSE SEIP ’25 | April 2025

Distinguished Paper Award

Preprint

Performance Aware LLM Load Balancer for Mixed Workloads

Kunal Jain, A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Anoop Kulkarni, Steve Kofsky, Saravan Rajmohan

EuroMLSys 2025 | April 2025

Publication Projet

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan

2024 Symposium on Cloud Computing | November 2024

Publication

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin 林庆维, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

EMNLP’24 | November 2024

Preprint

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks

Yingzhe Peng, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Xu Yang, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

IUI’25 | October 2024

Publication

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning

Haozhe Li, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction

Yudong Liu, Minghua Ma, Pu Zhao, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | October 2024

Publication

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty

Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

Large Language Models Can Provide Accurate and Interpretable Incident Triage

Zexin Wang, Minghua Ma, Ze Li, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

2024 International Symposium on Software Reliability Engineering | August 2024

Publication

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

X-lifecycle Learning for Cloud Incident Management using LLMs

Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan

Foundations of Software Engineering (FSE) | July 2024

Publication

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin 林庆维, Dongmei Zhang

Foundations of Software Engineering (FSE) | July 2024

DOI Publication

Exploring LLM-based Agents for Root Cause Analysis

Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024

Publication Projet

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

NeurIPS 2024 | June 2024

DOI Publication Publication

Designing Cloud Servers for Lower Carbon

Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman

ISCA | June 2024

Publication

SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud

Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini

ISCA | June 2024

Publication

Dependency Aware Incident Linking in Large Cloud Systems

Supriyo GHOSH, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan

The Web Conference (WWW) | May 2024

Publication

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim

ICLR 2024 | May 2024

Publication Publication Github Projet

Intelligent Overclocking for Improved Cloud Efficiency

Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal

AIOps ’24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024

Preprint

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

EuroSys’24 | April 2024

Publication

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach

Pooja Srinivas, Fiza Husain, A. Parayil, Ayush Choure, Chetan Bansal, Saravan Rajmohan

46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP’24) | April 2024

Preprint

OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy

Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan

NSDI 2024 | April 2024

Publication Publication Github Projet Projet

Predict; Don’t React for Enabling Efficient Fine-Grain DVFS in GPUs

Srikant Bharadwaj, Shomit Das, K. Mazumdar, Bradford M. Beckmann, Stephen Kosonocky

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems | March 2024

Publication DOI Publication

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024

Preprint Projet

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruehle, Laks V. S. Lakshmanan, Ahmed Awadallah

ICLR 2024 | February 2024

Publication

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective

Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin 林庆维, Haiming Zhang, Jianhui Li, Gaogang Xie

TheWebConf’24 | February 2024

DOI Publication

NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams

Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das

IEEE Big Data 2023 | December 2023

Special session on Machine Learning on Big Data (MLBD)

Publication

Training Private and Efficient Language Models with Synthetic Data from LLMs

Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang

NeurIPS 2023 SoLaR Workshop | December 2023

Publication Projet

Detection Is Better Than Cure: A Cloud Incidents Perspective

A. Parayil, Supriyo GHOSH, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace, Vaibhav Ganatra

ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering | November 2023

Publication

Secure Floating-Point Training

Deevashwer Rathee, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Dawn Song

Usenix Security Symposium 2023 | August 2023

Publication Projet

Bayesian Estimation of Differential Privacy

Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones

2023 International Conference on Machine Learning | July 2023

Rédacteur(s) en chef: Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho

Publication Projet

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

Xiaoting Qin, Minghua Ma, Yueng Zhao, Jue Zhang, Chao Du, Yudong Liu, A. Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang

DSN | June 2023

Publication

Analyzing Leakage of Personally Identifiable Information in Language Models

Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin

2023 IEEE Symposium on Security and Privacy | May 2023

Publication PDF DOI Projet

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning

Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin

2023 IEEE Symposium on Security and Privacy | May 2023

Publication PDF DOI Projet

Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping

Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

International Conference on Learning Representations (ICLR) 2023 | May 2023

Publication Projet

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan

ICSE 2023 | May 2023

Publication

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs

Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Ruehle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | March 2023

Publication

Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

COLT 2023 | February 2023

Publication Projet

Differentially Private Model Compression

Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni

NeurIPS 2022 | November 2022

Publication Projet

When does differentially private learning not suffer in high dimensions?

Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin Inan, Janardhan (Jana) Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta

NeurIPS’22 | November 2022

Publication Projet

AutoTSG: Learning and Synthesis for Incident Troubleshooting

Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta

ESEC/FSE 2022 | November 2022

Publication Publication Publication

Membership Inference Attacks and Generalization: A Causal Perspective

Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena

Computer and Communications Security (CCS) | November 2022

Publication Projet

How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service

Supriyo GHOSH, Manish Shetty, Chetan Bansal, Suman Nath

SoCC 2022 | November 2022

Best Paper Award

Publication PDF Projet

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Publication Projet Projet

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS

ICPR | August 2022

Publication

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Publication Projet Projet

Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning

Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

IJCAI-ECAI’22 | August 2022

Publication Projet

SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost

Nishanth Chandran, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Akash Shah

USENIX Security | August 2022

USENIX Security 2022

Publication Projet

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis

Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis

2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’22) | July 2022

Publication Projet

Private Convex Optimization in General Norms

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

SODA 2023 | July 2022

Publication Projet

Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF

Nishanth Chandran, Divya Gupta, Akash Shah

22nd Privacy Enhancing Technologies Symposium (PETS 2022) | June 2022

Publication Projet

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, …, Qingwei Lin 林庆维, …

SIGKDD 2022 | May 2022

Projet Projet

SECFLOAT: Accurate Floating-Point meets Secure 2-Party Computation

Deevashwer Rathee, Anwesh Bhattacharya, Rahul Sharma, Divya Gupta, Nishanth Chandran, Aseem Rastogi

43rd IEEE Symposium on Security and Privacy (IEEE S&P 2022) | May 2022

Publication Projet

DeepAnalyze: Learning to Localize Crashes at Scale

Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari

ICSE 2022 | May 2022

Publication Projet

Spot Virtual Machine Eviction Prediction in Microsoft Cloud

Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

TheWebConf 2022 | April 2022

Publication

Differentially private fine-tuning of language models

Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan (Jana) Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

ICLR 2022 | April 2022

Publication Projet

Private Convex Optimization via Exponential Mechanism

Sivakanth Gopi, Yin Tat Lee, Daogao Liu

COLT 2022 | March 2022

Publication Projet

HALO: Hierarchy-aware Fault Localization for Cloud Systems

Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin 林庆维, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang

SigKDD 2021 | October 2021

Publication PDF Projet Projet

How Long Will it Take to Mitigate this Incident for Online Service Systems?

Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang

ISSRE’21 | September 2021

Best Research Paper

Publication Projet Projet

Intelligent container reallocation at Microsoft 365

Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin 林庆维, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang

2021 Foundations of Software Engineering | August 2021

DOI Projet Projet

Fighting the Fog of War: Automated Incident Detection for Cloud Systems

Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang

2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021

Publication Projet Projet

Neural Knowledge Extraction From Cloud Service Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan, Tom Zimmermann

43rd International Conference on Software Engineering (ICSE ’21) – SEIP Track | May 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Saravanakumar Rajmohan, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet Projet Projet

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

Chuan Luo, …, Qingwei Lin 林庆维

AAAI’21 | March 2021

Publication Projet

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms

Chuan Luo, Pu Zhao, …, Qingwei Lin 林庆维, …

WWW (TheWebConf) 2021 | February 2021

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DeCaf: Diagnosing and Triaging Performance Issues in Large-Scale Cloud Services

Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, Mathru Janakiraman

ICSE 2020 | May 2020

PDF Projet

Rex: Preventing Bugs and Misconfiguration in Large Services using Correlated Change Analysis

Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, B. Ashok, Chetan Bansal, Chandra Maddila, Christian Bird, Sumit Asthana, Aditya Kumar

Networked System Design and Implementation (NSDI) | February 2020

Publication Projet

WhoDo: Automating Reviewer Suggestions at Scale

Sumit Asthana, Rahul Kumar, Ranjita Bhagwan, Chetan Bansal, Christian Bird, Chandra Maddila, Sonu Mehta, B. Ashok

ESEC/FSE 2019 | August 2019

Publication Projet

Predicting Pull Request Completion Time: A Case Study on Large Scale Cloud Services

Chandra Maddila, Chetan Bansal, Nachi Nagappan

ESEC/FSE 2019 | August 2019

Publication Projet

Building sankie: an AI platform for DevOps

Rahul Kumar, Chetan Bansal, Chandra Maddila, Nitin Sharma, Shawn Martelock, Ravi Bhargava

1st International Workshop on Bots in Software Engineering (BotSE ’19) | May 2019

Publication Projet

FastLane: Test Minimization for Rapidly Deployed Large-scale Online Services

Ranjita Bhagwan, Adithya Philip, Rahul Kumar, Chandra Maddila, Nachi Nagappan

International Conference on Software Engineering | May 2019

Publication Projet

EzPC: Programmable, Efficient, and Scalable Secure Two-Party Computation for Machine Learning

Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, Shardul Tripathi

IEEE European Symposium on Security and Privacy | February 2019

Publication Vidéo Github Projet

Orca: Differential Bug Localization in Large-Scale Services

Ranjita Bhagwan, Rahul Kumar, Chandra Maddila, Adithya Abraham Philip

13th USENIX Symposium on Operating Systems Design and Implementation | October 2018

Won the Jay Lepreau Best Paper Award

Publication Projet
Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale

Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky

ArXiv | February 2025

Publication

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Lingxiang Hu, Shurun Yuan, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

February 2025

Publication

Enabling Autonomic Microservice Management through Self-Learning Agents

Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin 林庆维, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

January 2025

Preprint

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs

Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Ruehle, Saravan Rajmohan

ArXiv | December 2024, Vol abs/2412.08585

DOI Publication Publication

Ensuring Fair LLM Serving Amid Diverse Applications

Kunal Jain, Ankur Mallick, A. Parayil, Renee St. Amant, Rujia Wang, Victor Ruehle, Chetan Bansal, Saravan Rajmohan, Redwan Ibne Seraj Khan, Haiying Shen, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Yue Cheng

ArXiv | November 2024

Publication

Sharingan: Extract user action sequence from desktop recordings

Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

November 2024

Preprint

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure

Xi Chen, Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Chao Du, Xi Cheng, Hangxin Liu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

September 2024

Preprint

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling

A. Parayil, Ankur Mallick, Esha Choukse, Xiaoting Qin, Jue Zhang, Íñigo Goiri, Rujia Wang, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Kunal Jain, Anoop Kulkarni, Steve Kofsky

ArXiv | August 2024, Vol abs/2408.13510

Preprint

The Vision of Autonomic Computing: Can LLMs Make It a Reality?

Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

July 2024

Preprint

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

ArXiv | April 2024, Vol abs/2404.19143

Preprint

Workload Intelligence: Punching Holes Through the Cloud Abstraction

Lexiang Huang, A. Parayil, Jue Zhang, Xiaoting Qin, Chetan Bansal, Jovan Stojkovic, Pantea Zardoshti, Pulkit Misra, Eli Cortez, Raphael Ghelman, Íñigo Goiri, Saravan Rajmohan, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini

April 2024

Preprint

Advancing differential privacy: where we are now and future directions for real-world deployment

Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Yangsibo Huang, Matthew Jagielski, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Da Yu, Sergey Yekhanin, Huanyu Zhang, Wanrong Zhang

Harvard Data Science Review | January 2024, Vol 6(1)

Publication Projet

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation

Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ArXiv | November 2023, Vol abs/2311.04254

DOI Publication Publication

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation

Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Awadallah, Anastasios Kyrillidis, Robert Sim

ArXiv | October 2023, Vol abs/2310.02842

DOI Publication Publication Publication

Personalized Federated Learning with Adaptive Batchnorm for Healthcare

Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, Tao Qin

IEEE Transactions on Big Data | May 2022

Preprint Publication Projet

SoftNER: Mining knowledge graphs from Cloud Incidents

Manish Shetty, Chetan Bansal, Sumit Kumar, Nikitha Rao, Nachiappan Nagappan

Empirical Software Engineering | April 2022, Vol 27(4)

Publication
The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text

Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Reza Shokri, Shruti Tople

February 2025

DOI Preprint Projet

Triangle: Empowering Incident Triage with Multi-LLM-Agents

Zhaoyang Yu, Minghua Ma, Xiaoyong Feng, Ruomeng Ding, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维

February 2025

Preprint

Towards Efficient Large Multimodal Model Serving

Haoran Qiu, Anish Biswas, Zihan Zhao, Jayashree Mohan, Alind Khare, Esha Choukse, Íñigo Goiri, Zeyu Zhang, Haiying Shen, Chetan Bansal, Ramachandran Ramjee, Rodrigo Fonseca

February 2025

Preprint Projet Projet

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan

October 2024

Publication Projet

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle

February 2024

Preprint

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan

September 2023

Publication

dp-transformers: Training transformer models with differential privacy

Huseyin Inan, Andre Manoel, Lukas Wutschitz

July 2022

Publication Projet
LeanAttention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers

Rya Sanovar, Srikant Bharadwaj, Renee St. Amant, Victor Ruehle, Saravan Rajmohan

May 2024

Publication

FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations

Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, Robert Sim

March 2022

Preprint Github Projet
Project Florida: Federated Learning Made Easy

Daniel Madrigal, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim

| July 2023

Publié par Microsoft

Publication Projet