| Lilac: Log parsing using llms with adaptive parsing cache Z Jiang, J Liu, Z Chen, Y Li, J Huang, Y Huo, P He, J Gu, MR Lyu Proceedings of the ACM on Software Engineering 1 (FSE), 137-160, 2024 | 52* | 2024 |
| Improving the transferability of adversarial samples by path-augmented method J Zhang, J Huang, W Wang, Y Li, W Wu, X Wang, Y Su, MR Lyu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 50 | 2023 |
| Revisiting, benchmarking and exploring API recommendation: How far are we? Y Peng, S Li, W Gu, Y Li, W Wang, C Gao, MR Lyu IEEE Transactions on Software Engineering 49 (4), 1876-1897, 2022 | 34 | 2022 |
| Exploring the effectiveness of llms in automated logging statement generation: An empirical study Y Li, Y Huo, Z Jiang, R Zhong, P He, Y Su, LC Briand, MR Lyu IEEE Transactions on Software Engineering, 2024 | 32* | 2024 |
| A large-scale evaluation for log parsing techniques: How far are we? Z Jiang, J Liu, J Huang, Y Li, Y Huo, J Gu, Z Chen, J Zhu, MR Lyu Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 26 | 2024 |
| Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials Y Huang, Y Li, W Wu, J Zhang, MR Lyu Proceedings of the ACM on Software Engineering, 2024, 2023 | 23* | 2023 |
| Meta-path based attentional graph learning model for vulnerability detection XC Wen, C Gao, J Ye, Y Li, Z Tian, Y Jia, X Wang IEEE Transactions on Software Engineering, 2023 | 17 | 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 | 17 | 2022 |
| Face it yourselves: An llm-based two-stage strategy to localize configuration errors via logs S Shan, Y Huo, Y Su, Y Li, D Li, Z Zheng Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 15 | 2024 |
| Towards making deep learning-based vulnerability detectors robust Z Li, J Tang, D Zou, Q Chen, S Xu, C Zhang, Y Li, H Jin arXiv preprint arXiv:2108.00669, 2021 | 12 | 2021 |
| Go static: Contextualized logging statement generation Y Li, Y Huo, R Zhong, Z Jiang, J Liu, J Huang, J Gu, P He, MR Lyu Proceedings of the ACM on Software Engineering 1 (FSE), 609-630, 2024 | 11 | 2024 |
| Enhancing llm-based coding tools through native integration of ide-derived static context Y Li, Y Peng, Y Huo, MR Lyu Proceedings of the 1st International Workshop on Large Language Models for …, 2024 | 9 | 2024 |
| Autolog: A log sequence synthesis framework for anomaly detection Y Huo, Y Li, Y Su, P He, Z Xie, MR Lyu 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 9 | 2023 |
| FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems J Huang, J Liu, Z Chen, Z Jiang, Y Li, J Gu, C Feng, Z Yang, Y Yang, ... Proceedings of the 46th International Conference on Software Engineering …, 2024 | 4 | 2024 |
| 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 | 3 | 2024 |
| Automated Defects Detection and Fix in Logging Statement R Zhong, Y Li, J Kuang, W Gu, Y Huo, MR Lyu arXiv preprint arXiv:2408.03101, 2024 | 1 | 2024 |
| Intent-based System Design and Operation V Anand, Y Li, AG Kumbhare, C Irvene, C Bansal, G Somashekar, J Mace, ... arXiv preprint arXiv:2502.05984, 2025 | | 2025 |
| COFFE: A Code Efficiency Benchmark for Code Generation Y Peng, J Wan, Y Li, X Ren arXiv preprint arXiv:2502.02827, 2025 | | 2025 |
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