Variable Precision Fuzzy Hit-or-Miss Transformation Models to Object Identification in Grey-Scale Images. - Wei Xie; Tingquan Deng; Qiang Li 014; Minghua Ma (J. Math. Imaging Vis., 2015)

EDUM: classroom education measurements via large-scale WiFi networks. - Mengyu Zhou; Minghua Ma; Yangkun Zhang; Kaixin Sui; Dan Pei; Thomas Moscibroda (UbiComp, 2016)

WiFi can be the weakest link of round trip network latency in the wild. - Changhua Pei; Youjian Zhao; Guo Chen 001; Ruming Tang; Yuan Meng 002; Minghua Ma; Ken Ling; Dan Pei (INFOCOM, 2016)

Your trajectory privacy can be breached even if you walk in groups. - Kaixin Sui; Youjian Zhao; Dapeng Liu; Minghua Ma; Lei Xu; Zimu Li; Dan Pei (IWQoS, 2016)

Characterizing and Improving WiFi Latency in Large-Scale Operational Networks. - Kaixin Sui; Mengyu Zhou; Dapeng Liu; Minghua Ma; Dan Pei; Youjian Zhao; Zimu Li; Thomas Moscibroda (MobiSys, 2016)

MobiCamp: a Campus-wide Testbed for Studying Mobile Physical Activities. - Mengyu Zhou; Kaixin Sui; Minghua Ma; Youjian Zhao; Dan Pei; Thomas Moscibroda (WPA@MobiSys, 2016)

You can hide, but your periodic schedule can't. - Minghua Ma; Kai Zhao; Kaixin Sui; Lei Xu; Yong Li 008; Dan Pei (IWQoS, 2017)

Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection. - Minghua Ma; Shenglin Zhang; Dan Pei; Xin Huang; Hongwei Dai (ISSRE, 2018)

Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction. - Minghua Ma; Tingquan Deng; Ning Wang; Yanmei Chen (Int. J. Mach. Learn. Cybern., 2019)

Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection. - Nengwen Zhao; Jing Zhu 007; Yao Wang; Minghua Ma; Wenchi Zhang; Dapeng Liu; Ming Zhang; Dan Pei (IEEE Trans. Netw. Serv. Manag., 2019)

Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases. - Minghua Ma; Zheng Yin; Shenglin Zhang; Sheng Wang 011; Christopher Zheng; Xinhao Jiang; Hanwen Hu; Cheng Luo; Yilin Li; Nengjun Qiu; Feifei Li 001; Changcheng Chen; et al. (Proc. VLDB Endow., 2020)

Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems. - Minghua Ma; Shenglin Zhang; Junjie Chen 003; Jim Xu; Haozhe Li; Yongliang Lin; Xiaohui Nie; Bo Zhou; Yong Wang; Dan Pei (USENIX ATC, 2021)

DockerMock: Pre-Build Detection of Dockerfile Faults through Mocking Instruction Execution. - Mingjie Li 005; Xiaoying Bai; Minghua Ma; Dan Pei (CoRR, 2021)

Mining Fluctuation Propagation Graph Among Time Series with Active Learning. - Mingjie Li 005; Minghua Ma; Xiaohui Nie; Kanglin Yin; Li Cao; Xidao Wen; Zhiyun Yuan; Duogang Wu; Guoying Li; Wei Liu; Xin Yang; Dan Pei (DEXA (1), 2022)

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. - Yudong Liu; Hailan Yang; Pu Zhao 004; Minghua Ma; Chengwu Wen; Hongyu Zhang 002; Chuan Luo 002; Qingwei Lin; Chang Yi; Jiaojian Wang; Chenjian Zhang; Paul Wang; et al. (KDD, 2022)

An empirical study of log analysis at Microsoft. - Shilin He; Xu Zhang 024; Pinjia He; Yong Xu 010; Liqun Li; Yu Kang 006; Minghua Ma; Yining Wei; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin (ESEC/SIGSOFT FSE, 2022)

An empirical investigation of missing data handling in cloud node failure prediction. - Minghua Ma; Yudong Liu; Yuang Tong; Haozhe Li; Pu Zhao 004; Yong Xu 010; Hongyu Zhang 002; Shilin He; Lu Wang 029; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin (ESEC/SIGSOFT FSE, 2022)

UniParser: A Unified Log Parser for Heterogeneous Log Data. - Yudong Liu; Xu Zhang 024; Shilin He; Hongyu Zhang 002; Liqun Li; Yu Kang 006; Yong Xu 010; Minghua Ma; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (WWW, 2022)

Constructing Large-Scale Real-World Benchmark Datasets for AIOps. - Zeyan Li; Nengwen Zhao; Shenglin Zhang; Yongqian Sun; Pengfei Chen; Xidao Wen; Minghua Ma; Dan Pei (CoRR, 2022)

Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances. - Minghua Ma; Zhao Tian; Max Hort; Federica Sarro; Hongyu Zhang 002; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2022)

How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. - Xiaoting Qin; Minghua Ma; Yuheng Zhao; Jue Zhang; Chao Du; Yudong Liu; Anjaly Parayil; Chetan Bansal; Saravan Rajmohan; Íñigo Goiri; Eli Cortez; Si Qin; et al. (DSN, 2023)

CONAN: Diagnosing Batch Failures for Cloud Systems. - Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Hongyu Zhang 002; Minghua Ma; Yingnong Dang; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE-SEIP, 2023)

Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems. - Xiaohan Yan; Ken Hsieh; Yasitha Liyanage; Minghua Ma; Murali Chintalapati; Qingwei Lin; Yingnong Dang; Dongmei Zhang 001 (ICSE-SEIP, 2023)

TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. - Zhengran Zeng; Yuqun Zhang; Yong Xu 010; Minghua Ma; Bo Qiao 001; Wentao Zou; Qingjun Chen; Meng Zhang 025; Xu Zhang 024; Hongyu Zhang 002; Xuedong Gao; Hao Fan; et al. (ICSE-SEIP, 2023)

CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. - Haozhe Li; Minghua Ma; Yudong Liu; Si Qin; Bo Qiao 001; Randolph Yao; Harshwardhan Chaturvedi; Tri Tran; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ISSRE, 2023)

Robust Multimodal Failure Detection for Microservice Systems. - Chenyu Zhao; Minghua Ma; Zhenyu Zhong; Shenglin Zhang; Zhiyuan Tan 005; Xiao Xiong; LuLu Yu; Jiayi Feng; Yongqian Sun; Yuzhi Zhang; Dan Pei; Qingwei Lin; et al. (KDD, 2023)

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Xiaomin Wu; Meng Zhang 025; Qingjun Chen; Xin Gao; Xuedong Gao; Hao Fan; Saravan Rajmohan; et al. (ESEC/SIGSOFT FSE, 2023)

Detection Is Better Than Cure: A Cloud Incidents Perspective. - Vaibhav Ganatra; Anjaly Parayil; Supriyo Ghosh; Yu Kang 006; Minghua Ma; Chetan Bansal; Suman Nath; Jonathan Mace (ESEC/SIGSOFT FSE, 2023)

Assess and Summarize: Improve Outage Understanding with Large Language Models. - Pengxiang Jin; Shenglin Zhang; Minghua Ma; Haozhe Li; Yu Kang 006; Liqun Li; Yudong Liu; Bo Qiao 001; Chaoyun Zhang; Pu Zhao 004; Shilin He; Federica Sarro; et al. (ESEC/SIGSOFT FSE, 2023)

EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. - Qingwei Lin; Tianci Li; Pu Zhao 004; Yudong Liu; Minghua Ma; Lingling Zheng; Murali Chintalapati; Bo Liu; Paul Wang; Hongyu Zhang 002; Yingnong Dang; Saravan Rajmohan; et al. (WWW (Companion Volume), 2023)

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (CoRR, 2023)

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain. - Zhenyu Zhong; Qiliang Fan; Jiacheng Zhang; Minghua Ma; Shenglin Zhang; Yongqian Sun; Qingwei Lin; Yuzhi Zhang; Dan Pei (CoRR, 2023)

TaskWeaver: A Code-First Agent Framework. - Bo Qiao 001; Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Chaoyun Zhang; Fangkai Yang; Hang Dong 004; Jue Zhang; Lu Wang 029; Minghua Ma; Pu Zhao 004; et al. (CoRR, 2023)

Robust Failure Diagnosis of Microservice System Through Multimodal Data. - Shenglin Zhang; Pengxiang Jin; Zihan Lin; Yongqian Sun; Bicheng Zhang; Sibo Xia; Zhengdan Li; Zhenyu Zhong; Minghua Ma; Wa Jin; Dai Zhang; Zhenyu Zhu; et al. (IEEE Trans. Serv. Comput., 2023)

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. - Yuhang Chen; Chaoyun Zhang; Minghua Ma; Yudong Liu; Ruomeng Ding; Bowen Li 002; Shilin He; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (Proc. VLDB Endow., 2023)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Wei Zhang 056; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ACL (Findings), 2024)

Building AI Agents for Autonomous Clouds: Challenges and Design Principles. - Manish Shetty; Yinfang Chen; Gagan Somashekar; Minghua Ma; Yogesh Simmhan; Xuchao Zhang; Jonathan Mace; Dax Vandevoorde; Pedro Henrique B. Las-Casas; Shachee Mishra Gupta; Suman Nath; Chetan Bansal; et al. (SoCC, 2024)

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. - Chaoyun Zhang; Randolph Yao; Si Qin; Ze Li 005; Shekhar Agrawal; Binit R. Mishra; Tri Tran; Minghua Ma; Qingwei Lin; Murali Chintalapati; Dongmei Zhang 001 (SoCC, 2024)

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (EuroSys, 2024)

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. - Yuxuan Jiang; Chaoyun Zhang; Shilin He; Zhihao Yang; Minghua Ma; Si Qin; Yu Kang 006; Yingnong Dang; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2024)

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. - Haozhe Li; Minghua Ma; Yudong Liu; Pu Zhao 004; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ISSRE, 2024)

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. - Yudong Liu; Minghua Ma; Pu Zhao 004; Tianci Li; Bo Qiao 001; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; et al. (ISSRE (Workshops), 2024)

Large Language Models Can Provide Accurate and Interpretable Incident Triage. - Zexin Wang; Jianhui Li; Minghua Ma; Ze Li 005; Yu Kang 006; Chaoyun Zhang; Chetan Bansal; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Changhua Pei; et al. (ISSRE, 2024)

Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models. - Shenglin Zhang; Pengtian Zhu; Minghua Ma; Jiagang Wang; Yongqian Sun; Dongwen Li; Jingyu Wang; Qianying Guo; Xiaolei Hua; Lin Zhu; Dan Pei (ISSRE (Workshops), 2024)

ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems. - Yongqian Sun; Binpeng Shi; Mingyu Mao; Minghua Ma; Sibo Xia; Shenglin Zhang; Dan Pei (ASE, 2024)

Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization. - Lei Tao; Shenglin Zhang; Zedong Jia; Jinrui Sun; Minghua Ma; Zhengdan Li; Yongqian Sun; Canqun Yang; Yuzhi Zhang; Dan Pei (ASE, 2024)

End-to-End AutoML for Unsupervised Log Anomaly Detection. - Shenglin Zhang; Yuhe Ji; Jiaqi Luan; Xiaohui Nie; Ziang Chen; Minghua Ma; Yongqian Sun; Dan Pei (ASE, 2024)

Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space. - Zhe Xie; Shenglin Zhang; Yitong Geng; Yao Zhang 009; Minghua Ma; Xiaohui Nie; Zhenhe Yao; Longlong Xu; Yongqian Sun; Wentao Li; Dan Pei (KDD, 2024)

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. - Zhaoyang Yu; Changhua Pei; Xin Wang 001; Minghua Ma; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001; Xidao Wen; Jianhui Li; Gaogang Xie; Dan Pei (KDD, 2024)

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. - Zhaoyang Yu; Minghua Ma; Chaoyun Zhang; Si Qin; Yu Kang 006; Chetan Bansal; Saravan Rajmohan; Yingnong Dang; Changhua Pei; Dan Pei; Qingwei Lin; Dongmei Zhang 001 (SIGSOFT FSE Companion, 2024)

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 006; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. - Zexin Wang; Changhua Pei; Minghua Ma; Xin Wang 001; Zhihan Li; Dan Pei; Saravan Rajmohan; Dongmei Zhang 001; Qingwei Lin; Haiming Zhang 002; Jianhui Li; Gaogang Xie (WWW, 2024)

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. - Haozhe Li; Minghua Ma; Yudong Liu; Pu Zhao 004; Lingling Zheng; Ze Li 005; Yingnong Dang; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2024)

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; Saravan Rajmohan; Dongmei Zhang 001 (CoRR, 2024)

Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis. - Shenglin Zhang; Sibo Xia; Wenzhao Fan; Binpeng Shi; Xiao Xiong; Zhenyu Zhong; Minghua Ma; Yongqian Sun; Dan Pei (CoRR, 2024)

A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management. - Yongqian Sun; Jiaju Wang; Zhengdan Li; Xiaohui Nie; Minghua Ma; Shenglin Zhang; Yuhe Ji; Lu Zhang; Wen Long; Hengmao Chen; Yongnan Luo; Dan Pei (CoRR, 2024)

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. - Yuxin Wang 002; Minghua Ma; Zekun Wang 001; Jingchang Chen; Huiming Fan; Liping Shan; Qing Yang 033; Dongliang Xu; Ming Liu 004; Bing Qin 001 (CoRR, 2024)

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models. - Zekun Wang 001; Minghua Ma; Zexin Wang; Rongchuan Mu; Liping Shan; Ming Liu 004; Bing Qin 001 (ACL (1), 2025)

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. - Yuxin Wang 002; Minghua Ma; Zekun Wang 001; Jingchang Chen; Liping Shan; Qing Yang 033; Dongliang Xu; Ming Liu 004; Bing Qin 001 (COLING, 2025)

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 006; Yuyi Liang; Xiaoyu Gou; Yajie Xue; Qingwei Lin; et al. (ICDE, 2025)

Orchestrating Cross-Layer Anomaly Detection and Mitigation to Address Gray Failures in Large-Scale Cloud Infrastructure. - Ze Li 005; Chang Lou; Vignatha Yenugutala; Vivek Ramamurthy; Eion Blanchard; Minghua Ma; Murali Chintalapati (AIOps, 2025)

UFO: A UI-Focused Agent for Windows OS Interaction. - Chaoyun Zhang; Liqun Li; Shilin He; Xu Zhang 024; Bo Qiao 001; Si Qin; Minghua Ma; Yu Kang 006; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (NAACL (Long Papers), 2025)

AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices. - Yongqian Sun; Jiaju Wang; Zhengdan Li; Xiaohui Nie; Minghua Ma; Shenglin Zhang; Yuhe Ji; Lu Zhang; Wen Long; Hengmao Chen; Yongnan Luo; Dan Pei (SANER, 2025)

OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models' Capability in IT Operations Domain. - Yuhe Liu; Changhua Pei; Longlong Xu; Bohan Chen; Mingze Sun; Zhirui Zhang; Yongqian Sun; Shenglin Zhang; Kun Wang; Haiming Zhang 002; Jianhui Li; Gaogang Xie; et al. (SIGSOFT FSE Companion, 2025)

AIOpsLab in Action: An Open Platform for AIOps Research. - Minghua Ma; Jackson Clark; Shenglin Zhang (SIGSOFT FSE Companion, 2025)

Large Language Model-Brained GUI Agents: A Survey. - Chaoyun Zhang; Shilin He; Jiaxu Qian; Bowen Li 002; Liqun Li; Si Qin; Yu Kang 006; Minghua Ma; Guyue Liu; Qingwei Lin; Saravan Rajmohan; Dongmei Zhang 001; et al. (Trans. Mach. Learn. Res., 2025)

AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds. - Yinfang Chen; Manish Shetty; Gagan Somashekar; Minghua Ma; Yogesh Simmhan; Jonathan Mace; Chetan Bansal; Rujia Wang; Saravan Rajmohan (CoRR, 2025)

An Empirical Study of Production Incidents in Generative AI Cloud Services. - Haoran Yan; Yinfang Chen; Minghua Ma; Ming Wen 001; Shan Lu 001; Shenglin Zhang; Tianyin Xu; Rujia Wang; Chetan Bansal; Saravan Rajmohan; Chaoyun Zhang; Dongmei Zhang 001 (CoRR, 2025)

UFO2: The Desktop AgentOS. - Chaoyun Zhang; He Huang; Chiming Ni; Jian Mu; Si Qin; Shilin He; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Chao Du; Liqun Li; Yu Kang 006; et al. (CoRR, 2025)

Semantic Scheduling for LLM Inference. - Wenyue Hua; Dujian Ding; Yile Gu; Yujie Ren; Kai Mei; Minghua Ma; William Yang Wang (CoRR, 2025)