Saravan Rajmohan

Partner Director & GM, AI and Applied Research

Publications

View by:

- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication
- OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
  
  Weixuan Wang, Dongge Han, Daniel Madrigal, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ArXiv | August 2025
  
  Publication
- TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
  
  Shivam Shandilya, Menglin Xia, Supriyo GHOSH, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Ruehle, Saravan Rajmohan
  
  ACL 2025 Findings | August 2025
  
  Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication
- 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
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | May 2025, Vol abs/2505.23419
  
  DOI Publication Publication Project
- 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
  
  MLSys'25 | May 2025
  
  Publication
- AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
  
  Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ICDE'25 | May 2025
  
  Preprint
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, Vol abs/2504.14603
  
  DOI Publication Publication Project
- Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  
  Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
  
  April 2025
  
  Publication
- 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 Project
- RuAG: Learned-rule-augmented Generation for Large Language Models
  
  Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin 林庆维, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ICLR'25 | April 2025
  
  Publication
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms
  
  Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri, Celine Irvene, Daniel S. Berger, Haoran Ma, Kapil Arya, Taylor Stark, Eugene Bak, Mehmet Iyigun, Stanko Novakovic, Lisa Hsu, Karel Trueba, Abhisek Pan, Chetan Bansal, Saravan Rajmohan, Jian Huang, Ricardo Bianchini
  
  ASPLOS | March 2025
  
  Publication Project
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- 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
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | February 2025
  
  DOI Publication 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
- ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
  
  Minghua He, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.18460
  
  DOI Publication Publication Project
- Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
  
  Xing Zhang, Jiaheng Wen, Fangkai Yang, Pu Zhao, Yu Kang, Junhao Wang, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.16050
  
  DOI Publication Publication Project
- DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  
  Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.13699
  
  DOI Publication Publication Project
- 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
- Large Language Model-Brained GUI Agents: A Survey
  
  Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Ming-Jie Ma, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | November 2024, Vol abs/2411.18279
  
  DOI Publication Publication Project
- 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
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
  
  Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle
  
  EMNLP 2024 Industry Track | 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
  
  CIKM'24 | 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 Project
- 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
- Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
  
  Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ACL 2024 | August 2024
  
  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
  
  ACL'24 Findings | August 2024
  
  Publication
- 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 Project
- 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
  
  ESEC/FSE'24 Industry Track | July 2024
  
  Publication Publication
- 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
- 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
- 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
- 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
- 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
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication Project Project
- TaskWeaver: A Code-First Agent Framework
  
  Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  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
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ISSRE'23 | October 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'23 | June 2023
  
  Publication
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- 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
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  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
  
  ASPLOS'23 | March 2023
  
  Publication
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication Project Project
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- 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 Project Project
- 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 Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
  
  DOI Project Project
- 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
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project

- OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
  
  Weixuan Wang, Dongge Han, Daniel Madrigal, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ArXiv | August 2025
  
  Publication
- TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
  
  Shivam Shandilya, Menglin Xia, Supriyo GHOSH, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Ruehle, Saravan Rajmohan
  
  ACL 2025 Findings | August 2025
  
  Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication
- 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
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | May 2025, Vol abs/2505.23419
  
  DOI Publication Publication Project
- 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
  
  MLSys'25 | 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
- AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
  
  Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ICDE'25 | May 2025
  
  Preprint
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, Vol abs/2504.14603
  
  DOI Publication Publication Project
- Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  
  Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
  
  April 2025
  
  Publication
- RuAG: Learned-rule-augmented Generation for Large Language Models
  
  Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin 林庆维, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ICLR'25 | April 2025
  
  Publication
- 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 Project
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- 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
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | February 2025
  
  DOI Publication 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
- ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
  
  Minghua He, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.18460
  
  DOI Publication Publication Project
- Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
  
  Xing Zhang, Jiaheng Wen, Fangkai Yang, Pu Zhao, Yu Kang, Junhao Wang, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.16050
  
  DOI Publication Publication Project
- DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  
  Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.13699
  
  DOI Publication Publication Project
- 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
- Large Language Model-Brained GUI Agents: A Survey
  
  Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Ming-Jie Ma, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | November 2024, Vol abs/2411.18279
  
  DOI Publication Publication Project
- 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
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
  
  Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle
  
  EMNLP 2024 Industry Track | 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 Project
- 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
  
  CIKM'24 | 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
- Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
  
  Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ACL 2024 | August 2024
  
  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
  
  ACL'24 Findings | 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
- 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
  
  ESEC/FSE'24 Industry Track | July 2024
  
  Publication 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 Project
- 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
- 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
- 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
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- TaskWeaver: A Code-First Agent Framework
  
  Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  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
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- 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
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- 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
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication Project Project
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- 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 Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
  
  DOI Project Project
- 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
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | May 2025, Vol abs/2505.23419
  
  DOI Publication Publication Project
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, Vol abs/2504.14603
  
  DOI Publication Publication Project
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
  
  Minghua He, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.18460
  
  DOI Publication Publication Project
- Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
  
  Xing Zhang, Jiaheng Wen, Fangkai Yang, Pu Zhao, Yu Kang, Junhao Wang, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.16050
  
  DOI Publication Publication Project
- DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  
  Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.13699
  
  DOI Publication Publication Project
- Large Language Model-Brained GUI Agents: A Survey
  
  Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Ming-Jie Ma, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | November 2024, Vol abs/2411.18279
  
  DOI Publication Publication Project
- 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 Project
- 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
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- 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
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication Project Project
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- 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 Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
  
  DOI Project Project
- 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
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 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
  
  MLSys'25 | 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
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, Vol abs/2504.14603
  
  DOI Publication Publication Project
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms
  
  Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri, Celine Irvene, Daniel S. Berger, Haoran Ma, Kapil Arya, Taylor Stark, Eugene Bak, Mehmet Iyigun, Stanko Novakovic, Lisa Hsu, Karel Trueba, Abhisek Pan, Chetan Bansal, Saravan Rajmohan, Jian Huang, Ricardo Bianchini
  
  ASPLOS | March 2025
  
  Publication Project
- 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
- 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
  
  CIKM'24 | 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
- 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
- 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
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- 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'23 | June 2023
  
  Publication
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- 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
  
  ASPLOS'23 | March 2023
  
  Publication
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- 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 Project Project
- 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 Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
  
  DOI Project Project
- 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
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- RuAG: Learned-rule-augmented Generation for Large Language Models
  
  Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin 林庆维, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ICLR'25 | April 2025
  
  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
- 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 Project
- 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
- 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
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ISSRE'23 | October 2023
  
  Publication
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- 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 Project Project
- 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 Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
  
  DOI Project Project
- 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
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 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
- 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
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ISSRE'23 | October 2023
  
  Publication
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  Publication
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- 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 Project Project
- 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 Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
  
  DOI Project Project
- 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
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- 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
- 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
- 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
- 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

- OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
  
  Weixuan Wang, Dongge Han, Daniel Madrigal, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ArXiv | August 2025
  
  Publication
- SWE-bench Goes Live!
  
  Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, J. Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | May 2025, Vol abs/2505.23419
  
  DOI Publication Publication Project
- UFO2: The Desktop AgentOS
  
  Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Chao Du, Liqun Li, Yu Kang, Zhao Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Ming-Jie Ma, Jianjun Lou, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | April 2025, Vol abs/2504.14603
  
  DOI Publication Publication Project
- 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
- ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
  
  Minghua He, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.18460
  
  DOI Publication Publication Project
- Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
  
  Xing Zhang, Jiaheng Wen, Fangkai Yang, Pu Zhao, Yu Kang, Junhao Wang, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.16050
  
  DOI Publication Publication Project
- DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  
  Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | January 2025, Vol abs/2501.13699
  
  DOI Publication Publication Project
- 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
- Large Language Model-Brained GUI Agents: A Survey
  
  Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Ming-Jie Ma, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ArXiv | November 2024, Vol abs/2411.18279
  
  DOI Publication Publication Project
- 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
- 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
- An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
  
  Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Michael R. Lyu
  
  ACM SIGOPS Operating Systems Review | June 2022, Vol 56(1): pp. 1-7
  
  DOI Project Project
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication
- TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
  
  Shivam Shandilya, Menglin Xia, Supriyo GHOSH, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Ruehle, Saravan Rajmohan
  
  ACL 2025 Findings | August 2025
  
  Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  MLSys'25 | 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
- AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models
  
  Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  ICDE'25 | May 2025
  
  Preprint
- RuAG: Learned-rule-augmented Generation for Large Language Models
  
  Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin 林庆维, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ICLR'25 | April 2025
  
  Publication
- 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 Project
- UFO: A UI-Focused Agent for Windows OS Interaction
  
  Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  NAACL'25 | April 2025
  
  Publication
- Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms
  
  Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri, Celine Irvene, Daniel S. Berger, Haoran Ma, Kapil Arya, Taylor Stark, Eugene Bak, Mehmet Iyigun, Stanko Novakovic, Lisa Hsu, Karel Trueba, Abhisek Pan, Chetan Bansal, Saravan Rajmohan, Jian Huang, Ricardo Bianchini
  
  ASPLOS | March 2025
  
  Publication Project
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | February 2025
  
  DOI Publication 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
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
  
  Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle
  
  EMNLP 2024 Industry Track | 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
  
  CIKM'24 | October 2024
  
  PDF
- Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
  
  Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
  
  ACL 2024 | August 2024
  
  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
  
  ACL'24 Findings | August 2024
  
  Publication
- 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
- 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
  
  ESEC/FSE'24 Industry Track | July 2024
  
  Publication 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 Project
- 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
- 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
- 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
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
  
  Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE'24 | February 2024
  
  Publication Project Project
- UniLog: Automatic Logging via LLM and In-Context Learning
  
  Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  ICSE 2024 | February 2024
  
  Publication Project Project
- STEAM: Observability-Preserving Trace Sampling
  
  Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  Publication Project Project
- Assess and Summarize: Improve Outage Understanding with Large Language Models
  
  Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ESEC/FSE 2023 | November 2023
  
  DOI Publication Publication Project Project
- CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud
  
  Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ISSRE'23 | October 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'23 | June 2023
  
  Publication
- Incident-aware Duplicate Ticket Aggregation for Cloud Systems
  
  Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin 林庆维, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu
  
  ICSE 2023 | May 2023
  
  DOI Publication PDF Project Project
- CONAN: Diagnosing Batch Failures for Cloud Systems
  
  Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  ICSE 2023 SEIP | May 2023
  
  Publication Project
- 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
- Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning
  
  Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  WWW '23 | April 2023
  
  DOI
- Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem
  
  Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda
  
  WWW'23 Companion | April 2023
  
  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
  
  ASPLOS'23 | March 2023
  
  Publication
- An Empirical Study of Log Analysis at Microsoft
  
  Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维
  
  2022 Foundations of Software Engineering (FSE) | November 2022
  
  Publication Project Project
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD 2022 | August 2022
  
  DOI Publication Project Project
- 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 Project Project
- 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 Project Project
- SPINE: A Scalable Log Parser with Feedback Guidance
  
  Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  2022 Foundations of Software Engineering (FSE) | July 2022
  
  SIGSOFT Distinguished Paper Award
  
  Publication Project Project
- T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
  
  Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin 林庆维, D. Zhang
  
  IJCAI 2022 | June 2022
  
  DOI Publication Publication Project
- 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
  
  WWW'22 Companion | April 2022
  
  Publication
- UniParser: A Unified Log Parser for Heterogeneous Log Data
  
  Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
  
  TheWebConf 2022 | April 2022
  
  DOI Project Project
- Exploring How LLMs Capture and Represent Domain-Specific Knowledge
  
  Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal, Ankur Mallick, Anastasios Kyrillidis,, Robert Sim, Victor Ruehle, Saravan Rajmohan
  
  April 2025
  
  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 Project
- TaskWeaver: A Code-First Agent Framework
  
  Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  December 2023
  
  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
- 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