| Experience Report: System Log Analysis for Anomaly Detection S He, J Zhu, P He, MR Lyu ISSRE '16: IEEE 27th International Symposium on Software Reliability …, 2016 | 515 | 2016 |
| Drain: An Online Log Parsing Approach with Fixed Depth Tree P He, J Zhu, Z Zheng, MR Lyu ICWS '17: IEEE International Conference on Web Services, 33-40, 2017 | 490 | 2017 |
| Tools and Benchmarks for Automated Log Parsing J Zhu, S He, J Liu, P He, Q Xie, Z Zheng, MR Lyu ICSE '19: IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 407* | 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 | 397 | 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 | 289 | 2013 |
| 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 ICSE '14: Companion Proceedings of the 36th International Conference on …, 2014 | 264 | 2014 |
| An Evaluation Study on Log Parsing and Its Use in Log Mining P He, J Zhu, S He, J Li, MR Lyu DSN '16: The 46th Annual IEEE/IFIP International Conference on Dependable …, 2016 | 256 | 2016 |
| Learning to Log: Helping Developers Make Informed Logging Decisions J Zhu, P He, Q Fu, H Zhang, MR Lyu, D Zhang ICSE '15: IEEE/ACM 37th IEEE International Conference on Software …, 2015 | 243 | 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 | 196 | 2018 |
| 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 | 153 | 2020 |
| UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation K Mao, J Zhu, X Xiao, B Lu, Z Wang, X He CIKM '21: Proceedings of the 30th ACM International Conference on …, 2021 | 133 | 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 | 126 | 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 | 111 | 2017 |
| Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding Z Zhang, Z Zhao, Z Lin, J Zhu, X He NeurIPS '20: Advances in Neural Information Processing Systems 33, 18123-18134, 2020 | 75 | 2020 |
| 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 | 71 | 2012 |
| SimpleX: A Simple and Strong Baseline for Collaborative Filtering K Mao, J Zhu, J Wang, Q Dai, Z Dong, X Xiao, X He CIKM '21: Proceedings of the 30th ACM International Conference on …, 2021 | 66 | 2021 |
| Open Benchmarking for Click-Through Rate Prediction J Zhu, J Liu, S Yang, Q Zhang, X He CIKM '21: Proceedings of the 30th ACM International Conference on …, 2021 | 61* | 2021 |
| UNBERT: User-News Matching BERT for News Recommendation Q Zhang, J Li, Q Jia, C Wang, J Zhu, Z Wang, X He IJCAI '21: International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 57 | 2021 |
| Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression J Liu, J Zhu, S He, P He, Z Zheng, MR Lyu ASE '19: The 34th IEEE/ACM International Conference on Automated Software …, 2019 | 55 | 2019 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
