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 | 12 | 2023 |
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 | 10 | 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 The ACM International Conference on the Foundations of Software Engineering …, 2024 | 8* | 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 The ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024 | 4* | 2024 |
Go Static: Contextualized Logging Statement Generation Y Li, Y Huo, R Zhong, Z Jiang, J Liu, J Huang, J Gu, P He, MR Lyu The ACM International Conference on the Foundations of Software Engineering …, 2024 | 3 | 2024 |
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 The IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023 | 1 | 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, ... The International Conference on Software Engineering: Software Engineering …, 2024 | | 2024 |
Curvature-Invariant Adversarial Attacks for 3D Point Clouds J Zhang, W Gu, Y Huang, Z Jiang, W Wu, MR Lyu Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7142-7150, 2024 | | 2024 |