Saravan Rajmohan

Vice President and Distinguished Engineer, AI and Applied Research

出版物

表示方法:

- AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
  
  Sungho Park, Wonjoong Kim, Rongyuan Tan, Jue Zhang, Wook-Shin Han, Pengfei Gao, Chanyoung Park, Yongqiang Yao, R. Fu, Elsie Nallipogu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments
  
  Haomin Qi, Xingliang Wang, Xuanqi Gao, Baihui Sang, Xin Zhang, Minghua Ma, Pengfei Gao, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Beyond Fail-to-Pass: Iterative Hardening of Co-Generated Bug Reproduction Tests and Fixes
  
  Yuhao Tan, Zhibang Yang, Fangkai Yang, Yuan Yao, Yu Kang, Lu Wang, Pu Zhao, Xin Zhang, Xiaoxing Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation
  
  Yuhang Xie, Jian Mu, Xiaojun Ma, Chaoyun Zhang, Lu Wang, Mengyu Zhou, Mugeng Liu, Si Qin, Qingwei Lin, Saravan Rajmohan, Shi Han, Dongmei Zhang
  
  FSE'26 Industry Track | July 2026
  
  Publication
- Learning Optimal Message Representations for Agentic Communication
  
  Shashwat Gupta, Anson Bastos, Mayukh Das, Supriyo Ghosh, Nagarajan Natarajan, Chetan Bansal, Saravan Rajmohan
  
  ACL 2026 | July 2026
  
  Findings Paper
  
  Publication PDF
- StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis
  
  Jiayi Mao, Liqun Li, Yanjie Gao, Zegang Peng, Shilin He, Chaoyun Zhang, Si Qin, Samia Khalid, Qingwei Lin, Saravan Rajmohan, Sitaram Lanka, Dongmei Zhang
  
  FSE'26 | July 2026
  
  Publication
- CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
  
  Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang
  
  ACL Industry Track | July 2026
  
  Publication
- EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
  
  Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  ACL Findings | July 2026
  
  Publication
- Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
  
  Menglin Xia, Xuchao Zhang, Shantanu Dixit, Paramaguru Harimurugan, Rujia Wang, Victor Ruehle, Robert Sim, Chetan Bansal, Saravan Rajmohan
  
  ICML 2026 | July 2026
  
  Preprint
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication プロジェクト
- ACON: Optimizing Context Compression for Long-horizon LLM Agents
  
  Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin Inan, Lukas Wutschitz, Yanzhi Chen, Robert Sim, Saravan Rajmohan
  
  ICML 2026 | June 2026
  
  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
  
  Transactions on Machine Learning Research | May 2026
  
  DOI Publication Publication プロジェクトプロジェクト
- Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents
  
  Chenyu Zhao, Shenglin Zhang, Yihang Lin, Wenwei Gu, Zhiming Chen, Yongqian Sun, Dan Pei, Chetan Bansal, Saravan Rajmohan, Minghua Ma
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- EvidenT: An Evidence-Preserving Framework for Iterative System-Level Package Repair
  
  Chenyu Zhao, Minghua Ma, Shenglin Zhang, Zeshun Huang, Yongqian Sun, Chetan Bansal, Saravan Rajmohan, Dan Pei
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Revisiting Transformer Layer Parameterization Through Causal Energy Minimization
  
  Jin Xu, Camille Couturier, Victor Ruhle, Saravan Rajmohan, James Hensman
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Text2Grad: Reinforcement Learning from Natural Language Feedback
  
  Hanyang Wang, Lu Wang, Chaoyun Zhang, Tianjun Mao, Si Qin, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ICLR'26 | April 2026
  
  Publication
- Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
  
  Rongyuan Tan, Jue Zhang, Zhuozhao Li, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Beyond State Consistency: Behavior Consistency in Text-Based World Models
  
  Youling Huang, Guanqiao Chen, Junchi Yao, Lu Wang, Fangkai Yang, Chao Du, ChenZhuo Zhao, Pu Zhao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- DUET: Joint Exploration of User Item Profiles in Recommendation System
  
  Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yi Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- WebXSkill: Skill Learning for Autonomous Web Agents
  
  Zhaoyang Wang, Qianhui Wu, Xuchao Zhang, Chaoyun Zhang, Wenlin Yao, Fazle Faisal, Baolin Peng, Si Qin, Suman Nath, Qingwei Lin, Chetan Bansal, Dongmei Zhang, Saravan Rajmohan, Jianfeng Gao, Huaxiu Yao
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Continuous Benchmark Generation for Evaluating Enterprise-scale LLM Agents
  
  Divyanshu Saxena, Rishikesh Maurya, Xiaoxuan Ou, Gagan Somashekar, Shachee Mishra Gupta, Arun Iyer, Yu Kang, Chetan Bansal, Aditya Akella, Saravan Rajmohan
  
  International Conference on Software Engineering Workshop on Large Language Models for Code (LLM4Code-ICSE) | April 2026
  
  DOI Publication Publication
- Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
  
  Helia Hashemi, Victor Ruehle, Saravan Rajmohan
  
  2026 The Web Conference | April 2026
  
  Publication
- LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
  
  Lihao Sun, Hang Dong, Bo Qiao, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Computer-Using World Model
  
  Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin Atahan Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
  
  ICLR'26 Workshop on World Models | April 2026
  
  Publication Publication プロジェクト
- RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms
  
  Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
  
  March 2026
  
  arXiv | March 2026
  
  Preprint
  
  Publication
- RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform
  
  Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  March 2026
  
  March 2026
  
  Preprint プロジェクト
- AutoAdapt: An Automated Domain Adaptation Framework for LLMs
  
  Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
  
  March 2026
  
  arXiv | March 2026
  
  Publication 動画
- A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
  
  Zhuofan Shi, M. Ma, Zekun Yao, Fangkai Yang, Jue Zhang, Dongge Han, Victor Ruhle, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  ICML 2026 | February 2026
  
  DOI Publication
- Towards Active Synthetic Data Generation for Finetuning Language Models
  
  Samuel Kessler, Menglin Xia, Daniel Madrigal, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Ruehle, Jordan Ash
  
  2026 COLM | February 2026
  
  Publication
- LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
  
  Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Ruehle, Saravan Rajmohan
  
  AAMAS 2026 | January 2026
  
  Publication プロジェクト
- Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency
  
  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
  
  Supercomputing | November 2025
  
  Publication DOI PDF
- SynthAgent: Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  ACL 2026 | November 2025
  
  Publication Publication Publication
- Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  November 2025
  
  November 2025
  
  Publication プロジェクト
- 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
  
  the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) | November 2025
  
  Publication
- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  Empirical Methods in Natural Language Processing | November 2025
  
  Publication
- 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 プロジェクト
- Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
  
  Fiza Hussain, Anson Bastos, A. Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  October 2025
  
  October 2025
  
  Publication
- Learning GUI Grounding with Spatial Reasoning from Visual Feedback
  
  Yu Zhao, Wei-Ning Chen, Huseyin Inan, Samuel Kessler, Lu Wang, Lukas Wutschitz, Fangkai Yang, Chaoyun Zhang, Pasquale Minervini, Saravan Rajmohan, Robert Sim
  
  ICML 2026 | September 2025
  
  Publication DOI
- Analog optical computer for AI inference and combinatorial optimization
  
  Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O’Shea, Lucinda Pickup, Saravan Rajmohan, Ant Rowstron, Victor Ruehle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani
  
  Nature | September 2025
  
  Publication プロジェクト
- Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
  
  Qibin Wang, Pu Zhao, Shaohan Huang, Fangkai Yang, Lu Wang, Furu Wei, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | August 2025, 巻abs/2509.00084
  
  DOI Publication 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 プロジェクト
- Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
  
  Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD'25 Applied Data Science Track | August 2025
  
  Publication 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 プロジェクト
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | July 2025
  
  DOI Publication Publication プロジェクト
- REFA: Reference Free Alignment for multi-preference optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  COLM 2025 | July 2025
  
  Publication
- Large Action Models: From Inception to Implementation
  
  Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, Ray Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jianjun Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  Transactions on Machine Learning Research | July 2025
  
  Publication 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 プロジェクト
- 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
  
  Transactions on Machine Learning Research | June 2025
  
  DOI Publication Publication プロジェクト
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication プロジェクト
- Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models
  
  Camille Couturier, Spyridon (Spyros) Mastorakis, Haiying Shen, Saravan Rajmohan, Victor Ruehle
  
  ArXiv | May 2025
  
  DOI Publication 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
- 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
- Synergistic Weak-Strong Collaboration by Aligning Preferences
  
  Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
  
  ArXiv | April 2025
  
  DOI Publication Publication
- 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 プロジェクト
- 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 プロジェクト
- 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 DOI PDF プロジェクト
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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 プロジェクト
- 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
  
  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 プロジェクト
- 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
- CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
  
  Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
  
  Meeting of the Association for Computational Linguistics | 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
  
  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
  
  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 プロジェクト
- 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
  
  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
  
  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 プロジェクト
- 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
  
  May 2024
  
  Publication プロジェクト
- 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
  
  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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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
  
  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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト

- AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
  
  Sungho Park, Wonjoong Kim, Rongyuan Tan, Jue Zhang, Wook-Shin Han, Pengfei Gao, Chanyoung Park, Yongqiang Yao, R. Fu, Elsie Nallipogu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments
  
  Haomin Qi, Xingliang Wang, Xuanqi Gao, Baihui Sang, Xin Zhang, Minghua Ma, Pengfei Gao, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Beyond Fail-to-Pass: Iterative Hardening of Co-Generated Bug Reproduction Tests and Fixes
  
  Yuhao Tan, Zhibang Yang, Fangkai Yang, Yuan Yao, Yu Kang, Lu Wang, Pu Zhao, Xin Zhang, Xiaoxing Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Learning Optimal Message Representations for Agentic Communication
  
  Shashwat Gupta, Anson Bastos, Mayukh Das, Supriyo Ghosh, Nagarajan Natarajan, Chetan Bansal, Saravan Rajmohan
  
  ACL 2026 | July 2026
  
  Findings Paper
  
  Publication PDF
- From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation
  
  Yuhang Xie, Jian Mu, Xiaojun Ma, Chaoyun Zhang, Lu Wang, Mengyu Zhou, Mugeng Liu, Si Qin, Qingwei Lin, Saravan Rajmohan, Shi Han, Dongmei Zhang
  
  FSE'26 Industry Track | July 2026
  
  Publication
- EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
  
  Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  ACL Findings | July 2026
  
  Publication
- CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
  
  Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang
  
  ACL Industry Track | July 2026
  
  Publication
- Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
  
  Menglin Xia, Xuchao Zhang, Shantanu Dixit, Paramaguru Harimurugan, Rujia Wang, Victor Ruehle, Robert Sim, Chetan Bansal, Saravan Rajmohan
  
  ICML 2026 | July 2026
  
  Preprint
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication プロジェクト
- ACON: Optimizing Context Compression for Long-horizon LLM Agents
  
  Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin Inan, Lukas Wutschitz, Yanzhi Chen, Robert Sim, Saravan Rajmohan
  
  ICML 2026 | June 2026
  
  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
  
  Transactions on Machine Learning Research | May 2026
  
  DOI Publication Publication プロジェクトプロジェクト
- Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents
  
  Chenyu Zhao, Shenglin Zhang, Yihang Lin, Wenwei Gu, Zhiming Chen, Yongqian Sun, Dan Pei, Chetan Bansal, Saravan Rajmohan, Minghua Ma
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Revisiting Transformer Layer Parameterization Through Causal Energy Minimization
  
  Jin Xu, Camille Couturier, Victor Ruhle, Saravan Rajmohan, James Hensman
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Text2Grad: Reinforcement Learning from Natural Language Feedback
  
  Hanyang Wang, Lu Wang, Chaoyun Zhang, Tianjun Mao, Si Qin, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ICLR'26 | April 2026
  
  Publication
- Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
  
  Rongyuan Tan, Jue Zhang, Zhuozhao Li, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- DUET: Joint Exploration of User Item Profiles in Recommendation System
  
  Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yi Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Beyond State Consistency: Behavior Consistency in Text-Based World Models
  
  Youling Huang, Guanqiao Chen, Junchi Yao, Lu Wang, Fangkai Yang, Chao Du, ChenZhuo Zhao, Pu Zhao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- WebXSkill: Skill Learning for Autonomous Web Agents
  
  Zhaoyang Wang, Qianhui Wu, Xuchao Zhang, Chaoyun Zhang, Wenlin Yao, Fazle Faisal, Baolin Peng, Si Qin, Suman Nath, Qingwei Lin, Chetan Bansal, Dongmei Zhang, Saravan Rajmohan, Jianfeng Gao, Huaxiu Yao
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Continuous Benchmark Generation for Evaluating Enterprise-scale LLM Agents
  
  Divyanshu Saxena, Rishikesh Maurya, Xiaoxuan Ou, Gagan Somashekar, Shachee Mishra Gupta, Arun Iyer, Yu Kang, Chetan Bansal, Aditya Akella, Saravan Rajmohan
  
  International Conference on Software Engineering Workshop on Large Language Models for Code (LLM4Code-ICSE) | April 2026
  
  DOI Publication Publication
- Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
  
  Helia Hashemi, Victor Ruehle, Saravan Rajmohan
  
  2026 The Web Conference | April 2026
  
  Publication
- LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
  
  Lihao Sun, Hang Dong, Bo Qiao, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Computer-Using World Model
  
  Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin Atahan Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
  
  ICLR'26 Workshop on World Models | April 2026
  
  Publication Publication プロジェクト
- RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform
  
  Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  March 2026
  
  March 2026
  
  Preprint プロジェクト
- AutoAdapt: An Automated Domain Adaptation Framework for LLMs
  
  Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
  
  March 2026
  
  arXiv | March 2026
  
  Publication 動画
- A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
  
  Zhuofan Shi, M. Ma, Zekun Yao, Fangkai Yang, Jue Zhang, Dongge Han, Victor Ruhle, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  ICML 2026 | February 2026
  
  DOI Publication
- Towards Active Synthetic Data Generation for Finetuning Language Models
  
  Samuel Kessler, Menglin Xia, Daniel Madrigal, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Ruehle, Jordan Ash
  
  2026 COLM | February 2026
  
  Publication
- LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
  
  Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Ruehle, Saravan Rajmohan
  
  AAMAS 2026 | January 2026
  
  Publication プロジェクト
- Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency
  
  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
  
  Supercomputing | November 2025
  
  Publication DOI PDF
- SynthAgent: Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  ACL 2026 | November 2025
  
  Publication Publication Publication
- Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  November 2025
  
  November 2025
  
  Publication プロジェクト
- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  Empirical Methods in Natural Language Processing | November 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
  
  the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) | November 2025
  
  Publication
- Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
  
  Fiza Hussain, Anson Bastos, A. Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  October 2025
  
  October 2025
  
  Publication
- Learning GUI Grounding with Spatial Reasoning from Visual Feedback
  
  Yu Zhao, Wei-Ning Chen, Huseyin Inan, Samuel Kessler, Lu Wang, Lukas Wutschitz, Fangkai Yang, Chaoyun Zhang, Pasquale Minervini, Saravan Rajmohan, Robert Sim
  
  ICML 2026 | September 2025
  
  Publication DOI
- Analog optical computer for AI inference and combinatorial optimization
  
  Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O’Shea, Lucinda Pickup, Saravan Rajmohan, Ant Rowstron, Victor Ruehle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani
  
  Nature | September 2025
  
  Publication プロジェクト
- Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
  
  Qibin Wang, Pu Zhao, Shaohan Huang, Fangkai Yang, Lu Wang, Furu Wei, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | August 2025, 巻abs/2509.00084
  
  DOI Publication 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 プロジェクト
- 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 プロジェクト
- Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
  
  Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD'25 Applied Data Science Track | August 2025
  
  Publication Publication
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | July 2025
  
  DOI Publication Publication プロジェクト
- REFA: Reference Free Alignment for multi-preference optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  COLM 2025 | July 2025
  
  Publication
- Large Action Models: From Inception to Implementation
  
  Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, Ray Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jianjun Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  Transactions on Machine Learning Research | July 2025
  
  Publication 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 プロジェクト
- 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
  
  Transactions on Machine Learning Research | June 2025
  
  DOI Publication Publication プロジェクト
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication プロジェクト
- Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models
  
  Camille Couturier, Spyridon (Spyros) Mastorakis, Haiying Shen, Saravan Rajmohan, Victor Ruehle
  
  ArXiv | May 2025
  
  DOI Publication 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
- 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
- Synergistic Weak-Strong Collaboration by Aligning Preferences
  
  Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
  
  ArXiv | April 2025
  
  DOI Publication Publication
- 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 プロジェクト
- 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 プロジェクト
- 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
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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 プロジェクト
- 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
  
  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 プロジェクト
- CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
  
  Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
  
  Meeting of the Association for Computational Linguistics | October 2024
  
  Publication
- 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 プロジェクト
- 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
  
  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 プロジェクト
- 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
  
  May 2024
  
  Publication プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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
  
  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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
  
  Sungho Park, Wonjoong Kim, Rongyuan Tan, Jue Zhang, Wook-Shin Han, Pengfei Gao, Chanyoung Park, Yongqiang Yao, R. Fu, Elsie Nallipogu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments
  
  Haomin Qi, Xingliang Wang, Xuanqi Gao, Baihui Sang, Xin Zhang, Minghua Ma, Pengfei Gao, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  July 2026
  
  arXiv | July 2026
  
  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
  
  Transactions on Machine Learning Research | May 2026
  
  DOI Publication Publication プロジェクトプロジェクト
- EvidenT: An Evidence-Preserving Framework for Iterative System-Level Package Repair
  
  Chenyu Zhao, Minghua Ma, Shenglin Zhang, Zeshun Huang, Yongqian Sun, Chetan Bansal, Saravan Rajmohan, Dan Pei
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents
  
  Chenyu Zhao, Shenglin Zhang, Yihang Lin, Wenwei Gu, Zhiming Chen, Yongqian Sun, Dan Pei, Chetan Bansal, Saravan Rajmohan, Minghua Ma
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms
  
  Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
  
  March 2026
  
  arXiv | March 2026
  
  Preprint
  
  Publication
- RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform
  
  Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  March 2026
  
  March 2026
  
  Preprint プロジェクト
- 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
  
  Transactions on Machine Learning Research | June 2025
  
  DOI Publication Publication プロジェクト
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- Beyond Fail-to-Pass: Iterative Hardening of Co-Generated Bug Reproduction Tests and Fixes
  
  Yuhao Tan, Zhibang Yang, Fangkai Yang, Yuan Yao, Yu Kang, Lu Wang, Pu Zhao, Xin Zhang, Xiaoxing Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis
  
  Jiayi Mao, Liqun Li, Yanjie Gao, Zegang Peng, Shilin He, Chaoyun Zhang, Si Qin, Samia Khalid, Qingwei Lin, Saravan Rajmohan, Sitaram Lanka, Dongmei Zhang
  
  FSE'26 | July 2026
  
  Publication
- From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation
  
  Yuhang Xie, Jian Mu, Xiaojun Ma, Chaoyun Zhang, Lu Wang, Mengyu Zhou, Mugeng Liu, Si Qin, Qingwei Lin, Saravan Rajmohan, Shi Han, Dongmei Zhang
  
  FSE'26 Industry Track | July 2026
  
  Publication
- Computer-Using World Model
  
  Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin Atahan Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
  
  ICLR'26 Workshop on World Models | April 2026
  
  Publication Publication プロジェクト
- 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 プロジェクト
- Large Action Models: From Inception to Implementation
  
  Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, Ray Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jianjun Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  Transactions on Machine Learning Research | July 2025
  
  Publication 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- Learning GUI Grounding with Spatial Reasoning from Visual Feedback
  
  Yu Zhao, Wei-Ning Chen, Huseyin Inan, Samuel Kessler, Lu Wang, Lukas Wutschitz, Fangkai Yang, Chaoyun Zhang, Pasquale Minervini, Saravan Rajmohan, Robert Sim
  
  ICML 2026 | September 2025
  
  Publication DOI
- 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
- DUET: Joint Exploration of User Item Profiles in Recommendation System
  
  Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yi Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
  
  Zhuofan Shi, M. Ma, Zekun Yao, Fangkai Yang, Jue Zhang, Dongge Han, Victor Ruhle, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  ICML 2026 | February 2026
  
  DOI 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
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication プロジェクト
- 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
  
  Transactions on Machine Learning Research | May 2026
  
  DOI Publication Publication プロジェクトプロジェクト
- EvidenT: An Evidence-Preserving Framework for Iterative System-Level Package Repair
  
  Chenyu Zhao, Minghua Ma, Shenglin Zhang, Zeshun Huang, Yongqian Sun, Chetan Bansal, Saravan Rajmohan, Dan Pei
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- 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 プロジェクト
- 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
- 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 DOI PDF プロジェクト
- 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 プロジェクト
- 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
  
  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
  
  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
  
  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
  
  May 2024
  
  Publication プロジェクト
- 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
  
  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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
  
  Lihao Sun, Hang Dong, Bo Qiao, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
  
  Qibin Wang, Pu Zhao, Shaohan Huang, Fangkai Yang, Lu Wang, Furu Wei, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | August 2025, 巻abs/2509.00084
  
  DOI Publication 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
- StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis
  
  Jiayi Mao, Liqun Li, Yanjie Gao, Zegang Peng, Shilin He, Chaoyun Zhang, Si Qin, Samia Khalid, Qingwei Lin, Saravan Rajmohan, Sitaram Lanka, Dongmei Zhang
  
  FSE'26 | July 2026
  
  Publication
- WebXSkill: Skill Learning for Autonomous Web Agents
  
  Zhaoyang Wang, Qianhui Wu, Xuchao Zhang, Chaoyun Zhang, Wenlin Yao, Fazle Faisal, Baolin Peng, Si Qin, Suman Nath, Qingwei Lin, Chetan Bansal, Dongmei Zhang, Saravan Rajmohan, Jianfeng Gao, Huaxiu Yao
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
  
  Fiza Hussain, Anson Bastos, A. Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  October 2025
  
  October 2025
  
  Publication
- Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
  
  Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD'25 Applied Data Science Track | August 2025
  
  Publication 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
- 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
  
  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
  
  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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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
  
  May 2024
  
  Publication プロジェクト

- AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces
  
  Sungho Park, Wonjoong Kim, Rongyuan Tan, Jue Zhang, Wook-Shin Han, Pengfei Gao, Chanyoung Park, Yongqiang Yao, R. Fu, Elsie Nallipogu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments
  
  Haomin Qi, Xingliang Wang, Xuanqi Gao, Baihui Sang, Xin Zhang, Minghua Ma, Pengfei Gao, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Beyond Fail-to-Pass: Iterative Hardening of Co-Generated Bug Reproduction Tests and Fixes
  
  Yuhao Tan, Zhibang Yang, Fangkai Yang, Yuan Yao, Yu Kang, Lu Wang, Pu Zhao, Xin Zhang, Xiaoxing Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- EvidenT: An Evidence-Preserving Framework for Iterative System-Level Package Repair
  
  Chenyu Zhao, Minghua Ma, Shenglin Zhang, Zeshun Huang, Yongqian Sun, Chetan Bansal, Saravan Rajmohan, Dan Pei
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents
  
  Chenyu Zhao, Shenglin Zhang, Yihang Lin, Wenwei Gu, Zhiming Chen, Yongqian Sun, Dan Pei, Chetan Bansal, Saravan Rajmohan, Minghua Ma
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Revisiting Transformer Layer Parameterization Through Causal Energy Minimization
  
  Jin Xu, Camille Couturier, Victor Ruhle, Saravan Rajmohan, James Hensman
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
  
  Rongyuan Tan, Jue Zhang, Zhuozhao Li, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- DUET: Joint Exploration of User Item Profiles in Recommendation System
  
  Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yi Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Beyond State Consistency: Behavior Consistency in Text-Based World Models
  
  Youling Huang, Guanqiao Chen, Junchi Yao, Lu Wang, Fangkai Yang, Chao Du, ChenZhuo Zhao, Pu Zhao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- WebXSkill: Skill Learning for Autonomous Web Agents
  
  Zhaoyang Wang, Qianhui Wu, Xuchao Zhang, Chaoyun Zhang, Wenlin Yao, Fazle Faisal, Baolin Peng, Si Qin, Suman Nath, Qingwei Lin, Chetan Bansal, Dongmei Zhang, Saravan Rajmohan, Jianfeng Gao, Huaxiu Yao
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
  
  Lihao Sun, Hang Dong, Bo Qiao, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms
  
  Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
  
  March 2026
  
  arXiv | March 2026
  
  Preprint
  
  Publication
- RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform
  
  Kenan Li, Rongzhi Li, Linghao Zhang, Qirui Jin, Liao Zhu, Xiaosong Huang, Geng Zhang, Yikai Zhang, Shilin He, Chengxing Xie, Xin Zhang, Zijian Jin, Bowen Li, Chaoyun Zhang, Yu Kang, Yufan Huang, Elsie Nallipogu, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
  
  March 2026
  
  March 2026
  
  Preprint プロジェクト
- AutoAdapt: An Automated Domain Adaptation Framework for LLMs
  
  Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
  
  March 2026
  
  arXiv | March 2026
  
  Publication 動画
- Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  November 2025
  
  November 2025
  
  Publication プロジェクト
- Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
  
  Fiza Hussain, Anson Bastos, A. Parayil, Ayush Choure, Chetan Bansal, Rujia Wang, Saravan Rajmohan
  
  October 2025
  
  October 2025
  
  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
  
  May 2024
  
  Publication プロジェクト
- Learning Optimal Message Representations for Agentic Communication
  
  Shashwat Gupta, Anson Bastos, Mayukh Das, Supriyo Ghosh, Nagarajan Natarajan, Chetan Bansal, Saravan Rajmohan
  
  ACL 2026 | July 2026
  
  Findings Paper
  
  Publication PDF
- StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis
  
  Jiayi Mao, Liqun Li, Yanjie Gao, Zegang Peng, Shilin He, Chaoyun Zhang, Si Qin, Samia Khalid, Qingwei Lin, Saravan Rajmohan, Sitaram Lanka, Dongmei Zhang
  
  FSE'26 | July 2026
  
  Publication
- From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation
  
  Yuhang Xie, Jian Mu, Xiaojun Ma, Chaoyun Zhang, Lu Wang, Mengyu Zhou, Mugeng Liu, Si Qin, Qingwei Lin, Saravan Rajmohan, Shi Han, Dongmei Zhang
  
  FSE'26 Industry Track | July 2026
  
  Publication
- EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video
  
  Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Meikang Qiu, Gaopeng Gou, Gang Xiong, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang, Qi Wu
  
  ACL Findings | July 2026
  
  Publication
- CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
  
  Wenjie Fu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Lukas Wutschitz, Robert Sim, Saravan Rajmohan, Dongmei Zhang
  
  ACL Industry Track | July 2026
  
  Publication
- Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
  
  Menglin Xia, Xuchao Zhang, Shantanu Dixit, Paramaguru Harimurugan, Rujia Wang, Victor Ruehle, Robert Sim, Chetan Bansal, Saravan Rajmohan
  
  ICML 2026 | July 2026
  
  Preprint
- Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale
  
  Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky
  
  ACM Sigmetrics 2026 | June 2026
  
  Publication プロジェクト
- ACON: Optimizing Context Compression for Long-horizon LLM Agents
  
  Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin Inan, Lukas Wutschitz, Yanzhi Chen, Robert Sim, Saravan Rajmohan
  
  ICML 2026 | June 2026
  
  Publication
- Text2Grad: Reinforcement Learning from Natural Language Feedback
  
  Hanyang Wang, Lu Wang, Chaoyun Zhang, Tianjun Mao, Si Qin, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  ICLR'26 | April 2026
  
  Publication
- Continuous Benchmark Generation for Evaluating Enterprise-scale LLM Agents
  
  Divyanshu Saxena, Rishikesh Maurya, Xiaoxuan Ou, Gagan Somashekar, Shachee Mishra Gupta, Arun Iyer, Yu Kang, Chetan Bansal, Aditya Akella, Saravan Rajmohan
  
  International Conference on Software Engineering Workshop on Large Language Models for Code (LLM4Code-ICSE) | April 2026
  
  DOI Publication Publication
- Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
  
  Helia Hashemi, Victor Ruehle, Saravan Rajmohan
  
  2026 The Web Conference | April 2026
  
  Publication
- Computer-Using World Model
  
  Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin Atahan Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
  
  ICLR'26 Workshop on World Models | April 2026
  
  Publication Publication プロジェクト
- A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
  
  Zhuofan Shi, M. Ma, Zekun Yao, Fangkai Yang, Jue Zhang, Dongge Han, Victor Ruhle, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  ICML 2026 | February 2026
  
  DOI Publication
- Towards Active Synthetic Data Generation for Finetuning Language Models
  
  Samuel Kessler, Menglin Xia, Daniel Madrigal, Dongge Han, Helia Heshemi, Saravan Rajmohan, Victor Ruehle, Jordan Ash
  
  2026 COLM | February 2026
  
  Publication
- LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
  
  Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Ruehle, Saravan Rajmohan
  
  AAMAS 2026 | January 2026
  
  Publication プロジェクト
- Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency
  
  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
  
  Supercomputing | November 2025
  
  Publication DOI PDF
- SynthAgent: Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  ACL 2026 | November 2025
  
  Publication Publication Publication
- Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
  
  Shouju Wang, Fenglin Yu, Xirui Liu, Xiaoting Qin, Jue Zhang, Qingwei Lin 林庆维, Dongmei Zhang, Saravan Rajmohan
  
  Empirical Methods in Natural Language Processing | November 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
  
  the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) | November 2025
  
  Publication
- 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 プロジェクト
- Learning GUI Grounding with Spatial Reasoning from Visual Feedback
  
  Yu Zhao, Wei-Ning Chen, Huseyin Inan, Samuel Kessler, Lu Wang, Lukas Wutschitz, Fangkai Yang, Chaoyun Zhang, Pasquale Minervini, Saravan Rajmohan, Robert Sim
  
  ICML 2026 | September 2025
  
  Publication DOI
- 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 プロジェクト
- Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
  
  Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  SIGKDD'25 Applied Data Science Track | August 2025
  
  Publication Publication
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | July 2025
  
  DOI Publication Publication プロジェクト
- REFA: Reference Free Alignment for multi-preference optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  COLM 2025 | July 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 プロジェクト
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication プロジェクト
- 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 プロジェクト
- 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 DOI PDF プロジェクト
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  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
  
  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 プロジェクト
- CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
  
  Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
  
  Meeting of the Association for Computational Linguistics | October 2024
  
  Publication
- 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
  
  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
  
  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
  
  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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクトプロジェクト
- 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
  
  Transactions on Machine Learning Research | May 2026
  
  DOI Publication Publication プロジェクトプロジェクト
- Analog optical computer for AI inference and combinatorial optimization
  
  Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James H. Clegg, Daniel Cletheroe, Douglas J. Kelly, Babak Rahmani, Grace Brennan, Burcu Canakci, Fabian Falck, Michael Hansen, Jim Kleewein, Heiner Kremer, Greg O’Shea, Lucinda Pickup, Saravan Rajmohan, Ant Rowstron, Victor Ruehle, Lee Braine, Shrirang Khedekar, Natalia G. Berloff, Christos Gkantsidis, Francesca Parmigiani, Hitesh Ballani
  
  Nature | September 2025
  
  Publication プロジェクト
- Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
  
  Qibin Wang, Pu Zhao, Shaohan Huang, Fangkai Yang, Lu Wang, Furu Wei, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
  
  ArXiv | August 2025, 巻abs/2509.00084
  
  DOI Publication 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 プロジェクト
- Large Action Models: From Inception to Implementation
  
  Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, Ray Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jianjun Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
  
  Transactions on Machine Learning Research | July 2025
  
  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
  
  Transactions on Machine Learning Research | June 2025
  
  DOI Publication Publication プロジェクト
- Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models
  
  Camille Couturier, Spyridon (Spyros) Mastorakis, Haiying Shen, Saravan Rajmohan, Victor Ruehle
  
  ArXiv | May 2025
  
  DOI Publication Publication
- Synergistic Weak-Strong Collaboration by Aligning Preferences
  
  Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
  
  ArXiv | April 2025
  
  DOI Publication 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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
  
  DOI Publication Publication プロジェクト
- 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 プロジェクト
- 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
  
  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
  
  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
  
  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, 巻56(1): pp. 1-7
  
  DOI プロジェクトプロジェクト
- 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 プロジェクト
- 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 プロジェクト
- 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

Saravan Rajmohan

出版物

AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces

Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments

Beyond Fail-to-Pass: Iterative Hardening of Co-Generated Bug Reproduction Tests and Fixes

From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation

Learning Optimal Message Representations for Agentic Communication

StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents

EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

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

ACON: Optimizing Context Compression for Long-horizon LLM Agents

UFO2: The Desktop AgentOS

Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents

EvidenT: An Evidence-Preserving Framework for Iterative System-Level Package Repair

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization

Text2Grad: Reinforcement Learning from Natural Language Feedback

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks

Beyond State Consistency: Behavior Consistency in Text-Based World Models

DUET: Joint Exploration of User Item Profiles in Recommendation System

WebXSkill: Skill Learning for Autonomous Web Agents

Continuous Benchmark Generation for Evaluating Enterprise-scale LLM Agents

Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals

Computer-Using World Model

RepoLaunch: Automating Build and Management of Code Repositories across Languages and Platforms

RepoLaunch: Automating Build&Test Pipeline of Code Repositories on ANY Language and ANY Platform

AutoAdapt: An Automated Domain Adaptation Framework for LLMs

A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research

Towards Active Synthetic Data Generation for Finetuning Language Models

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation

Workload Intelligence: Workload-Aware IaaS Abstraction for Cloud Efficiency

SynthAgent: Adapting Web Agents with Synthetic Supervision

Adapting Web Agents with Synthetic Supervision

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents

Triangle: Empowering Incident Triage with Multi-Agent

Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems

Learning GUI Grounding with Spatial Reasoning from Visual Feedback

Analog optical computer for AI inference and combinatorial optimization

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs

OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning

Minerva: A Programmable Memory Test Benchmark for Language Models

REFA: Reference Free Alignment for multi-preference optimization

Large Action Models: From Inception to Implementation

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

Large Language Model-Brained GUI Agents: A Survey

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

SWE-bench Goes Live!

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models

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

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

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Synergistic Weak-Strong Collaboration by Aligning Preferences

Exploring How LLMs Capture and Represent Domain-Specific Knowledge

Performance Aware LLM Load Balancer for Mixed Workloads

RuAG: Learned-rule-augmented Generation for Large Language Models

UFO: A UI-Focused Agent for Windows OS Interaction

Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms

AMPO: Active Multi-Preference Optimization

ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale

Enabling Autonomic Microservice Management through Self-Learning Agents

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs

Ensuring Fair LLM Serving Amid Diverse Applications

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

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

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

Sharingan: Extract user action sequence from desktop recordings

CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling

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

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

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

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

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

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