| 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 | 355 | 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 | 275 | 2017 |
| 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 | 265 | 2017 |
| Service-generated big data and big data-as-a-service: an overview Z Zheng, J Zhu, MR Lyu 2013 IEEE international congress on Big Data, 403-410, 2013 | 263 | 2013 |
| 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 | 248* | 2019 |
| Where do developers log? an empirical study on logging practices in industry Q Fu, J Zhu, W Hu, JG Lou, R Ding, Q Lin, D Zhang, T Xie Companion Proceedings of the 36th International Conference on Software …, 2014 | 208 | 2014 |
| 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 | 191 | 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 | 188 | 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, 2018 | 136 | 2018 |
| 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 | 113 | 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 | 98 | 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 | 87 | 2017 |
| A clustering-based QoS prediction approach for Web service recommendation J Zhu, Y Kang, Z Zheng, MR Lyu 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented …, 2012 | 67 | 2012 |
| Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics S He, J Zhu, P He, MR Lyu arXiv preprint arXiv:2008.06448, 2020 | 59 | 2020 |
| Developing a voice control system for ZigBee-based home automation networks J Zhu, X Gao, Y Yang, H Li, Z Ai, X Cui 2010 2nd IEEE InternationalConference on Network Infrastructure and Digital …, 2010 | 41 | 2010 |
| Wsp: A network coordinate based web service positioning framework for response time prediction J Zhu, Y Kang, Z Zheng, MR Lyu 2012 IEEE 19th International Conference on Web Services, 90-97, 2012 | 36 | 2012 |
| 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 | 35 | 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 | 33 | 2014 |
| Scaling service-oriented applications into geo-distributed clouds J Zhu, Z Zheng, Y Zhou, MR Lyu 2013 IEEE Seventh International Symposium on Service-Oriented System …, 2013 | 30 | 2013 |
| 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 | 29 | 2019 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
