| Experience report: system log analysis for anomaly detection S He, J Zhu, P He, MR Lyu ISSRE 2016, 207-218, 2016 | 829 | 2016 |
| Tools and benchmarks for automated log parsing. J Zhu, S He, J Liu, P He, Q Xie, Z Zheng, MR Lyu ICSE 2019, 2019 | 735* | 2019 |
| A Survey on Automated Log Analysis for Reliability Engineering S He, P He, Z Chen, T Yang, Y Su, MR Lyu ACM Computing Surveys (CSUR), 2021 | 396 | 2021 |
| An evaluation study on log parsing and its use in log mining P He, J Zhu, S He, J Li, MR Lyu DSN 2016, 654-661, 2016 | 373 | 2016 |
| Loghub: A large collection of system log datasets towards automated log analytics S He, J Zhu, P He, MR Lyu arXiv version, accepted by ISSRE 2023, 2020 | 337 | 2020 |
| Towards automated log parsing for large-scale log data analysis P He, J Zhu, S He, J Li, MR Lyu IEEE TDSC 15 (6), 931-944, 2017 | 290 | 2017 |
| Loghub: A large collection of system log datasets for ai-driven log analytics J Zhu, S He, P He, J Liu, MR Lyu ISSRE 2023, 355-366, 2023 | 247 | 2023 |
| Identifying impactful service system problems via log analysis S He, Q Lin, JG Lou, H Zhang, MR Lyu, D Zhang ESEC/FSE 2018, 60-70, 2018 | 242 | 2018 |
| UniParser: A Unified Log Parser for Heterogeneous Log Data Y Liu, X Zhang, S He, H Zhang, L Li, Y Kang, Y Xu, M Ma, Q Lin, Y Dang, ... WWW 2022, 2022 | 138 | 2022 |
| UFO: A UI-focused Agent for Windows OS Interaction C Zhang, L Li, S He, X Zhang, B Qiao, S Qin, M Ma, Y Kang, Q Lin, ... NAACL 2025, 2024 | 137 | 2024 |
| Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection Y Chen, C Zhang, M Ma, Y Liu, R Ding, B Li, S He, S Rajmohan, Q Lin, ... VLDB 2024, 2023 | 117 | 2023 |
| Large language model-brained gui agents: A survey C Zhang, S He, J Qian, B Li, L Li, S Qin, Y Kang, M Ma, G Liu, Q Lin, ... TMLR, 2024 | 116 | 2024 |
| Characterizing the natural language descriptions in software logging statements P He, Z Chen, S He, MR Lyu ASE 2018, 178-189, 2018 | 114 | 2018 |
| Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression J Liu, J Zhu, S He, P He, Z Zheng, MR Lyu ASE 2019, 2019 | 109 | 2019 |
| UniLog: Automatic Logging via LLM and In-Context Learning J Xu, Z Cui, Y Zhao, X Zhang, S He, P He, L Li, Y Kang, Q Lin, Y Dang, ... ICSE 2024, 129-140, 2023 | 100 | 2023 |
| Assess and Summarize: Improve Outage Understanding with Large Language Models P Jin, S Zhang, M Ma, H Li, Y Kang, L Li, Y Liu, B Qiao, C Zhang, P Zhao, ... ESEC/FSE 2023, 2023 | 69 | 2023 |
| Xpert: Empowering Incident Management with Query Recommendations via Large Language Models Y Jiang, C Zhang, S He, Z Yang, M Ma, S Qin, Y Kang, Y Dang, ... ICSE 2024, 2023 | 66 | 2023 |
| Taskweaver: A Code-First Agent Framework B Qiao, L Li, X Zhang, S He, Y Kang, C Zhang, F Yang, H Dong, J Zhang, ... Technical Report, 2023 | 66 | 2023 |
| SPINE: A Scalable Log Parser with Feedback Guidance X Wang, X Zhang, L Li, S He, H Zhang, Y Liu, L Zheng, Y Kang, Q Lin, ... ESEC/FSE 2022, 1198-1208, 2022 | 63 | 2022 |
| An Empirical Study of Log Analysis at Microsoft S He, X Zhang, P He, Y Xu, L Li, Y Kang, M Ma, Y Wei, Y Dang, ... ESEC/FSE 2022, 1465-1476, 2022 | 60 | 2022 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
