| ByteGNN: efficient graph neural network training at large scale C Zheng, H Chen, Y Cheng, Z Song, Y Wu, C Li, J Cheng, H Yang, ... Proceedings of the VLDB Endowment 15 (6), 1228-1242, 2022 | 88 | 2022 |
| Brain: Log parsing with bidirectional parallel tree S Yu, P He, N Chen, Y Wu IEEE Transactions on Services Computing 16 (5), 3224-3237, 2023 | 46 | 2023 |
| Logflash: Real-time streaming anomaly detection and diagnosis from system logs for large-scale software systems T Jia, Y Wu, C Hou, Y Li 2021 IEEE 32nd International Symposium on Software Reliability Engineering …, 2021 | 44 | 2021 |
| Diagnosing Performance Issues in Microservices with Heterogeneous Data Source C Hou, T Jia, Y Wu, Y Li, J Han 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2021 | 28 | 2021 |
| Self-supervised log parsing using semantic contribution difference S Yu, N Chen, Y Wu, W Dou Journal of Systems and Software 200, 111646, 2023 | 17 | 2023 |
| How far have we come in detecting anomalies in distributed systems? an empirical study with a statement-level fault injection method Y Yang, Y Wu, K Pattabiraman, L Wang, Y Li 2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020 | 12 | 2020 |
| A survey of aiops for failure management in the era of large language models L Zhang, T Jia, M Jia, Y Wu, A Liu, Y Yang, Z Wu, X Hu, PS Yu, Y Li arXiv preprint arXiv:2406.11213, 2024 | 9 | 2024 |
| An empirical study on change-induced incidents of online service systems Y Wu, B Chai, Y Li, B Liu, J Li, Y Yang, W Jiang 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 8 | 2023 |
| Log parsing with generalization ability under new log types S Yu, Y Wu, Z Li, P He, N Chen, C Liu Proceedings of the 31st acm joint european software engineering conference …, 2023 | 7 | 2023 |
| UDA-DP: Unsupervised domain adaptation for software defect prediction X Huang, Y Wu, H Liu, Y Li, H Yu, D Guo, Z Wu 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | 5 | 2023 |
| Feedback-Aware Anomaly Detection Through Logs for Large-Scale Software Systems J HAN, T JIA, Y WU, C HOU, Y LI ZTE COMMUNICATIONS 19 (3), 88-94, 2021 | 5 | 2021 |
| Commit Message Generation via ChatGPT: How Far Are We? Y Wu, Y Li, S Yu Proceedings of the 2024 IEEE/ACM First International Conference on AI …, 2024 | 4 | 2024 |
| How to manage change-induced incidents? lessons from the study of incident life cycle Y Zhao, L Jiang, Y Tao, S Zhang, C Wu, Y Wu, T Jia, Y Li, Z Wu 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 4 | 2023 |
| Log Parsing with Self-Generated In-Context Learning and Self-Correction Y Wu, S Yu, Y Li arXiv preprint arXiv:2406.03376, 2024 | 2 | 2024 |
| XDrain: Effective log parsing in log streams using fixed-depth forest C Liu, Y Tian, S Yu, D Gao, Y Wu, S Huang, X Hu, N Chen Information and Software Technology 176, 107546, 2024 | 1 | 2024 |
| OCRCL: Online Contrastive Learning for Root Cause Localization of Business Incidents X Huang, H Liu, Y Wu, Y Zhao, C Wu, S Zhang, L Jiang, T Jia, Y Li, Z Wu 2024 IEEE International Conference on Software Analysis, Evolution and …, 2024 | 1 | 2024 |
| LogPTR: Variable-Aware Log Parsing with Pointer Network Y Wu, B Chai, S Yu, Y Li, P He, W Jiang, J Li arXiv preprint arXiv:2401.05986, 2024 | 1 | 2024 |
| CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending S Zhu, J Ye, W Jiang, S Xue, Q Zhang, Y Wu, J Li arXiv preprint arXiv:2309.08646, 2023 | 1 | 2023 |
| Unlocking the Power of Numbers: Log Compression via Numeric Token Parsing S Yu, Y Wu, Y Li, P He Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | | 2024 |
| MMDL-Based Data Augmentation with Domain Knowledge for Time Series Classification X Li, Y Wu, W Jiang, Y Li, J Li Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
Siyu YuPh.D. student, Peking UniversityПотвърден имейл адрес: cuhk.edu.cn