| 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 | 443 | 2019 |
| 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 | 252* | 2020 |
| Open benchmarking for click-through rate prediction J Zhu, J Liu, S Yang, Q Zhang, X He Proceedings of the 30th ACM International Conference on Information …, 2021 | 115* | 2021 |
| Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection Z Chen, J Liu, W Gu, Y Su, MR Lyu arXiv preprint arXiv:2107.05908, 2021 | 94 | 2021 |
| 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 | 69 | 2019 |
| Bars: Towards open benchmarking for recommender systems J Zhu, Q Dai, L Su, R Ma, J Liu, G Cai, X Xiao, R Zhang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 53 | 2022 |
| Ensembled CTR Prediction via Knowledge Distillation J Zhu, J Liu, W Li, J Lai, X He, L Chen, Z Zheng Proceedings of the 29th ACM International Conference on Information …, 2020 | 53 | 2020 |
| Adaptive performance anomaly detection for online service systems via pattern sketching Z Chen, J Liu, Y Su, H Zhang, X Ling, Y Yang, MR Lyu Proceedings of the 44th International Conference on Software Engineering, 61-72, 2022 | 21 | 2022 |
| Graph-based incident aggregation for large-scale online service systems Z Chen, J Liu, Y Su, H Zhang, X Wen, X Ling, Y Yang, MR Lyu 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 18 | 2021 |
| Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop J Liu, J Huang, Y Huo, Z Jiang, J Gu, Z Chen, C Feng, M Yan, MR Lyu arXiv preprint arXiv:2306.05032, 2023 | 12 | 2023 |
| An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection Y Li, X Zhang, S He, Z Chen, Y Kang, J Liu, L Li, Y Dang, F Gao, Z Xu, ... ACM SIGOPS Operating Systems Review 56 (1), 1-7, 2022 | 12 | 2022 |
| LLMParser: A LLM-based Log Parsing Framework Z Jiang, J Liu, Z Chen, Y Li, J Huang, Y Huo, P He, J Gu, MR Lyu arXiv preprint arXiv:2310.01796, 2023 | 10 | 2023 |
| EvLog: Identifying Anomalous Logs over Software Evolution Y Huo, C Lee, Y Su, S Shan, J Liu, MR Lyu 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 9* | 2023 |
| Incident-aware Duplicate Ticket Aggregation for Cloud Systems J Liu, S He, Z Chen, L Li, Y Kang, X Zhang, P He, H Zhang, Q Lin, Z Xu, ... arXiv preprint arXiv:2302.09520, 2023 | 9 | 2023 |
| A Large-scale Benchmark for Log Parsing Z Jiang, J Liu, J Huang, Y Li, Y Huo, J Gu, Z Chen, J Zhu, MR Lyu arXiv preprint arXiv:2308.10828, 2023 | 5 | 2023 |
| Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services J Liu, T Yang, Z Chen, Y Su, C Feng, Z Yang, MR Lyu 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 3 | 2023 |
| Prism: Revealing hidden functional clusters from massive instances in cloud systems J Liu, Z Jiang, J Gu, J Huang, Z Chen, C Feng, Z Yang, Y Yang, MR Lyu 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 3 | 2023 |
| MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection J Liu, W Gu, Z Chen, Y Li, Y Su, MR Lyu arXiv preprint arXiv:2401.06175, 2024 | 1 | 2024 |
| A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems Y Huo, C Lee, J Liu, T Yang, MR Lyu arXiv preprint arXiv:2310.00677, 2023 | | 2023 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
