| 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 | 839 | 2017 |
| 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 | 713 | 2016 |
| 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 | 613* | 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 | 554 | 2017 |
| 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 | 383* | 2023 |
| 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 | 329 | 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 | 290 | 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 | 257 | 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) 54 (6), 1-37, 2021 | 255 | 2021 |
| GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher Y Yuan, W Jiao, W Wang, J Huang, P He, S Shi, Z Tu ICLR 2024, 2024 | 147 | 2024 |
| 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 | 132 | 2017 |
| 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 | 130 | 2015 |
| 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 | 130 | 2014 |
| 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 | 106 | 2018 |
| Structure-invariant testing for machine translation P He, C Meister, Z Su Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 102 | 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 | 85 | 2019 |
| Biasasker: Measuring the bias in conversational ai system Y Wan, W Wang, P He, J Gu, H Bai, MR Lyu Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 56 | 2023 |
| 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 | 54 | 2015 |
| Testing Machine Translation via Referential Transparency P He, C Meister, Z Su 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 52 | 2021 |
| 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 | 51 | 2020 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongDirección de correo verificada de cse.cuhk.edu.hk
