| 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 | 26 | 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 | 20 | 2022 |
| 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 |
| Exploring the effectiveness of llms in automated logging generation: An empirical study Y Li, Y Huo, Z Jiang, R Zhong, P He, Y Su, MR Lyu arXiv preprint arXiv:2307.05950, 2023 | 11 | 2023 |
| Do not give away my secrets: Uncovering the privacy issue of neural code completion tools Y Huang, Y Li, W Wu, J Zhang, MR Lyu arXiv preprint arXiv:2309.07639, 2023 | 9 | 2023 |
| 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 arXiv preprint arXiv:2310.01796, 2023 | 7* | 2023 |
| 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 | 5 | 2021 |
| 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 | 4* | 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 | 4 | 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 | 3 | 2023 |
| Go Static: Contextualized Logging Statement Generation Y Li, Y Huo, R Zhong, Z Jiang, J Liu, J Huang, J Gu, P He, MR Lyu arXiv preprint arXiv:2402.12958, 2024 | 2 | 2024 |
| 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 arXiv preprint arXiv:2404.00640, 2024 | | 2024 |
| 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, ... arXiv preprint arXiv:2402.17583, 2024 | | 2024 |
| Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context Y Li, Y Peng, Y Huo, MR Lyu arXiv preprint arXiv:2402.03630, 2024 | | 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 | | 2024 |
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
