| Experience report: system log analysis for anomaly detection S He, J Zhu, P He, MR Lyu ISSRE 2016, 207-218, 2016 | 715 | 2016 |
| Tools and benchmarks for automated log parsing. J Zhu, S He, J Liu, P He, Q Xie, Z Zheng, MR Lyu ICSE, 2019 | 616* | 2019 |
| 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 | 328 | 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 | 296 | 2020 |
| 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 | 262 | 2021 |
| 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 | 257 | 2017 |
| 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 | 204 | 2018 |
| Characterizing the natural language descriptions in software logging statements P He, Z Chen, S He, MR Lyu ASE 2018, 178-189, 2018 | 107 | 2018 |
| 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 | 100 | 2023 |
| 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 | 89 | 2022 |
| 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 | 86 | 2019 |
| Towards Understanding Neural Machine Translation with Word Importance S He, Z Tu, X Wang, L Wang, MR Lyu, S Shi EMNLP 2019, 2019 | 48 | 2019 |
| 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, ... arXiv preprint arXiv:2402.07939, 2024 | 46 | 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 | 45 | 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 | 44 | 2022 |
| Onion: identifying incident-indicating logs for cloud systems X Zhang, Y Xu, S Qin, S He, B Qiao, Z Li, H Zhang, X Li, Y Dang, Q Lin, ... ESEC/FSE 2021, 1253-1263, 2021 | 42 | 2021 |
| Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction Z Li, C Luo, THP Chen, W Shang, S He, Q Lin, D Zhang ICSE, 2023 | 41 | 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 | 40 | 2023 |
| 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 | 39 | 2023 |
| 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 | 35 | 2022 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerifierad e-postadress på cse.cuhk.edu.hk