| 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 | 53* | 2024 |
| SemParser: A Semantic Parser for Log Analytics Y Huo, Y Su, C Lee, MR Lyu Proceedings of the 45th International Conference on Software Engineering …, 2023 | 51* | 2023 |
| Divlog: Log parsing with prompt enhanced in-context learning J Xu, R Yang, Y Huo, C Zhang, P He Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 46* | 2024 |
| 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 |
| Domain knowledge matters: Improving prompts with fix templates for repairing python type errors Y Peng, S Gao, C Gao, Y Huo, M Lyu Proceedings of the 46th ieee/acm international conference on software …, 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 | 25* | 2024 |
| 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 | 22 | 2023 |
| Learning contextual causality between daily events from time-consecutive images H Zhang, Y Huo, X Zhao, Y Song, D Roth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 18* | 2021 |
| 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 | 17 | 2024 |
| 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 | 17* | 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 Proceedings of the ACM on Software Engineering 1 (FSE), 609-630, 2024 | 12 | 2024 |
| Automatically generating UI code from screenshot: A divide-and-conquer-based approach Y Wan, C Wang, Y Dong, W Wang, S Li, Y Huo, MR Lyu arXiv preprint arXiv:2406.16386, 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 | 10 | 2024 |
| ARCLIN: automated API mention resolution for unformatted texts Y Huo, Y Su, H Zhang, MR Lyu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 10 | 2022 |
| 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 |
| Logvm: Variable semantics miner for log messages Y Huo, Y Su, M Lyu 2022 IEEE International Symposium on Software Reliability Engineering …, 2022 | 5 | 2022 |
| Interaction2Code: How far are we from automatic interactive webpage generation? J Xiao, Y Wan, Y Huo, Z Xu, MR Lyu arXiv preprint arXiv:2411.03292, 2024 | 4 | 2024 |
| Log-based Anomaly Detection based on EVT Theory with feedback J Liu, J Huang, Y Huo, Z Jiang, J Gu, Z Chen, C Feng, M Yan, MR Lyu arXiv preprint arXiv:2306.05032, 2023 | 4 | 2023 |
| CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm H Zhang, Y Huo, Y Elazar, Y Song, Y Goldberg, D Roth Findings of the Association for Computational Linguistics: EACL 2023., 2022 | 4 | 2022 |
| Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis J Huang, Z Jiang, J Liu, Y Huo, J Gu, Z Chen, C Feng, H Dong, Z Yang, ... 2024 IEEE 35th International Symposium on Software Reliability Engineering …, 2024 | 2 | 2024 |