Identifying bad software changes via multimodal anomaly detection for online service systems N Zhao, J Chen, Z Yu, H Wang, J Li, B Qiu, H Xu, W Zhang, K Sui, D Pei Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 61 | 2021 |
Logclass: Anomalous log identification and classification with partial labels W Meng, Y Liu, S Zhang, F Zaiter, Y Zhang, Y Huang, Z Yu, Y Zhang, ... IEEE Transactions on Network and Service Management 18 (2), 1870-1884, 2021 | 48 | 2021 |
Monitorassistant: Simplifying cloud service monitoring via large language models Z Yu, M Ma, C Zhang, S Qin, Y Kang, C Bansal, S Rajmohan, Y Dang, ... Companion Proceedings of the 32nd ACM International Conference on the …, 2024 | 7 | 2024 |
Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems Z Yu, S Zhang, M Sun, Y Li, Y Zhao, X Hua, L Zhu, X Wen, D Pei Proceedings of the ACM on Web Conference 2024, 2859-2869, 2024 | 4 | 2024 |
AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment Z Yu, C Pei, S Zhang, X Wen, J Li, G Xie, D Pei 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 4 | 2023 |
Pre-trained kpi anomaly detection model through disentangled transformer Z Yu, C Pei, X Wang, M Ma, C Bansal, S Rajmohan, Q Lin, D Zhang, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient G He, X Nie, R Tang, K Wang, Z Yu, X Wen, K Yin, D Pei 2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 1-10, 2024 | | 2024 |
Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis Z Yu, Q Ouyang, C Pei, X Wang, W Chen, L Su, H Jiang, X Wang, J Li, ... 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet …, 2024 | | 2024 |