| Robust log-based anomaly detection on unstable log data X Zhang, Y Xu, Q Lin, B Qiao, H Zhang, Y Dang, C Xie, X Yang, Q Cheng, ... Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 646 | 2019 |
| Towards intelligent incident management: why we need it and how we make it Z Chen, Y Kang, L Li, X Zhang, H Zhang, H Xu, Y Zhou, L Yang, J Sun, ... Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 94 | 2020 |
| UniParser: A Unified Log Parser for Heterogeneous Log Data Y Liu, X Zhang, S He, H Zhang, L Li, Y Kang, Y Xu, M Ma, Q Lin, Y Dang, ... Proceedings of the ACM Web Conference 2022, 1893-1901, 2022 | 91 | 2022 |
| Cross-dataset time series anomaly detection for cloud systems X Zhang, J Kim, Q Lin, K Lim, SO Kanaujia, Y Xu, K Jamieson, ... 2019 {USENIX} Annual Technical Conference ({USENIX}{ATC} 19), 1063-1076, 2019 | 90 | 2019 |
| Neural Feature Search: A Neural Architecture for Automated Feature Engineering X Chen, Q Lin, C Luo, X Li, H Zhang, Y Xu, Y Dang, K Sui, X Zhang, ... 2019 IEEE International Conference on Data Mining (ICDM), 71-80, 2019 | 69 | 2019 |
| Time series forecasting using gru neural network with multi-lag after decomposition X Zhang, F Shen, J Zhao, GH Yang International Conference on Neural Information Processing, 523-532, 2017 | 64 | 2017 |
| UFO: A UI-Focused Agent for Windows OS Interaction C Zhang, L Li, S He, X Zhang, B Qiao, S Qin, M Ma, Y Kang, Q Lin, ... arXiv preprint arXiv:2402.07939, 2024 | 48 | 2024 |
| SPINE: a scalable log parser with feedback guidance X Wang, X Zhang, L Li, S He, H Zhang, Y Liu, L Zheng, Y Kang, Q Lin, ... Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 45 | 2022 |
| Onion: identifying incident-indicating logs for cloud systems X Zhang, Y Xu, S Qin, S He, B Qiao, Z Li, H Zhang, X Li, Y Dang, Q Lin, ... Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 42 | 2021 |
| UniLog: Automatic Logging via LLM and In-Context Learning J Xu, Z Cui, Y Zhao, X Zhang, S He, P He, L Li, Y Kang, Q Lin, Y Dang, ... 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE …, 2023 | 40 | 2023 |
| An empirical study of log analysis at Microsoft S He, X Zhang, P He, Y Xu, L Li, Y Kang, M Ma, Y Wei, Y Dang, ... Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 35 | 2022 |
| Fighting the Fog of War: Automated Incident Detection for Cloud Systems L Li, X Zhang, X Zhao, H Zhang, Y Kang, P Zhao, B Qiao, S He, P Lee, ... 2021 {USENIX} Annual Technical Conference ({USENIX}{ATC} 21), 131-146, 2021 | 32 | 2021 |
| TaskWeaver: A Code-First Agent Framework B Qiao, L Li, X Zhang, S He, Y Kang, C Zhang, F Yang, H Dong, J Zhang, ... arXiv preprint arXiv:2311.17541, 2023 | 31 | 2023 |
| Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining Y Wang, G Li, Z Wang, Y Kang, Y Zhou, H Zhang, F Gao, J Sun, L Yang, ... arXiv preprint arXiv:2103.03649, 2021 | 28 | 2021 |
| HALO: Hierarchy-aware Fault Localization for Cloud Systems X Zhang, C Du, Y Li, Y Xu, H Zhang, S Qin, Z Li, Q Lin, Y Dang, A Zhou, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 23 | 2021 |
| TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems Z Zeng, Y Zhang, Y Xu, M Ma, B Qiao, W Zou, Q Chen, M Zhang, X Zhang, ... 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 21 | 2023 |
| 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 | 17 | 2022 |
| STEAM: Observability-Preserving Trace Sampling S He, B Feng, L Li, X Zhang, Y Kang, Q Lin, S Rajmohan, D Zhang Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 10 | 2023 |
| Incident-aware Duplicate Ticket Aggregation for Cloud Systems J Liu, S He, Z Chen, L Li, Y Kang, X Zhang, P He, H Zhang, Q Lin, Z Xu, ... arXiv preprint arXiv:2302.09520, 2023 | 10 | 2023 |
| CONAN: Diagnosing Batch Failures for Cloud Systems L Li, X Zhang, S He, Y Kang, H Zhango, M Ma, Y Dang, Z Xu, S Rajmohan, ... | 10* | |