| Experience report: System log analysis for anomaly detection S He, J Zhu, P He, MR Lyu 2016 IEEE 27th International Symposium on Software Reliability Engineering …, 2016 | 546 | 2016 |
| Drain: An online log parsing approach with fixed depth tree P He, J Zhu, Z Zheng, MR Lyu 2017 IEEE international conference on web services (ICWS), 33-40, 2017 | 533 | 2017 |
| Tools and benchmarks for automated log parsing J Zhu, S He, J Liu, P He, Q Xie, Z Zheng, MR Lyu 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 430* | 2019 |
| Software defect prediction via convolutional neural network J Li, P He, J Zhu, MR Lyu 2017 IEEE International Conference on Software Quality, Reliability and …, 2017 | 412 | 2017 |
| An evaluation study on log parsing and its use in log mining P He, J Zhu, S He, J Li, MR Lyu 2016 46th annual IEEE/IFIP international conference on dependable systems …, 2016 | 265 | 2016 |
| Learning to log: Helping developers make informed logging decisions J Zhu, P He, Q Fu, H Zhang, MR Lyu, D Zhang 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 249 | 2015 |
| Towards automated log parsing for large-scale log data analysis P He, J Zhu, S He, J Li, MR Lyu IEEE Transactions on Dependable and Secure Computing 15 (6), 931-944, 2017 | 203 | 2017 |
| Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics J Zhu, S He, P He, J Liu, MR Lyu arXiv e-prints, arXiv: 2008.06448, 2020 | 176* | 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) 54 (6), 1-37, 2021 | 141 | 2021 |
| Location-based hierarchical matrix factorization for web service recommendation P He, J Zhu, Z Zheng, J Xu, MR Lyu 2014 IEEE international conference on web services, 297-304, 2014 | 128 | 2014 |
| A privacy-preserving qos prediction framework for web service recommendation J Zhu, P He, Z Zheng, MR Lyu 2015 IEEE International Conference on Web Services, 241-248, 2015 | 117 | 2015 |
| Online QoS prediction for runtime service adaptation via adaptive matrix factorization J Zhu, P He, Z Zheng, MR Lyu IEEE Transactions on Parallel and Distributed Systems 28 (10), 2911-2924, 2017 | 115 | 2017 |
| Characterizing the natural language descriptions in software logging statements P He, Z Chen, S He, MR Lyu Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 86 | 2018 |
| Structure-invariant testing for machine translation P He, C Meister, Z Su Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 62 | 2020 |
| Logzip: extracting hidden structures via iterative clustering for log compression J Liu, J Zhu, S He, P He, Z Zheng, MR Lyu 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 60 | 2019 |
| Paid: Prioritizing app issues for developers by tracking user reviews over versions C Gao, B Wang, P He, J Zhu, Y Zhou, MR Lyu 2015 IEEE 26th International Symposium on Software Reliability Engineering …, 2015 | 41 | 2015 |
| Towards online, accurate, and scalable qos prediction for runtime service adaptation J Zhu, P He, Z Zheng, MR Lyu 2014 IEEE 34th International Conference on Distributed Computing Systems …, 2014 | 37 | 2014 |
| Testing Machine Translation via Referential Transparency P He, C Meister, Z Su 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 35 | 2021 |
| A directed acyclic graph approach to online log parsing P He, J Zhu, P Xu, Z Zheng, MR Lyu arXiv preprint arXiv:1806.04356, 2018 | 35 | 2018 |
| Machine translation testing via pathological invariance S Gupta, P He, C Meister, Z Su Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 27 | 2020 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
