Experience report: system log analysis for anomaly detection S He, J Zhu, P He, MR Lyu ISSRE 2016, 207-218, 2016 | 626 | 2016 |
Tools and benchmarks for automated log parsing. J Zhu, S He, J Liu, P He, Q Xie, Z Zheng, MR Lyu ICSE, 2019 | 500* | 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 | 296 | 2016 |
Loghub: A large collection of system log datasets towards automated log analytics S He, J Zhu, P He, MR Lyu arXiv e-prints, arXiv: 2008.06448, 2020 | 238 | 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 | 227 | 2017 |
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 | 187 | 2021 |
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 | 179 | 2018 |
Characterizing the natural language descriptions in software logging statements P He, Z Chen, S He, MR Lyu ASE 2018, 178-189, 2018 | 99 | 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 | 68 | 2019 |
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 | 62 | 2022 |
Towards Understanding Neural Machine Translation with Word Importance S He, Z Tu, X Wang, L Wang, MR Lyu, S Shi EMNLP 2019, 2019 | 43 | 2019 |
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 | 29 | 2022 |
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation Y Hao, S He, W Jiao, Z Tu, M Lyu, X Wang NAACL 2021, 2020 | 28 | 2020 |
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 | 27 | 2021 |
Fighting the Fog of War: Automated Incident Detection for Cloud Systems L Li, X Zhang, X Zhao, P Zhao, B Qiao, S He, P Lee, J Sun, F Gao, L Yang, ... USENIX ATC 2021, 131-146, 2021 | 25 | 2021 |
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation W Jiao, X Wang, S He, I King, MR Lyu, Z Tu EMNLP 2020, 2020 | 23 | 2020 |
Loghub: A large collection of system log datasets for ai-driven log analytics J Zhu, S He, P He, J Liu, MR Lyu 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 22 | 2023 |
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 | 19 | 2023 |
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 | 17 | 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 | 16 | 2023 |