| 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 | 587 | 2019 |
| Log clustering based problem identification for online service systems Q Lin, H Zhang, JG Lou, Y Zhang, X Chen Proceedings of the 38th International Conference on Software Engineering …, 2016 | 534 | 2016 |
| Wizardcoder: Empowering code large language models with evol-instruct Z Luo, C Xu, P Zhao, Q Sun, X Geng, W Hu, C Tao, J Ma, Q Lin, D Jiang arXiv preprint arXiv:2306.08568, 2023 | 457 | 2023 |
| Where do developers log? an empirical study on logging practices in industry Q Fu, J Zhu, W Hu, JG Lou, R Ding, Q Lin, D Zhang, T Xie Companion Proceedings of the 36th International Conference on Software …, 2014 | 306 | 2014 |
| Wizardmath: Empowering mathematical reasoning for large language models via reinforced evol-instruct H Luo, Q Sun, C Xu, P Zhao, J Lou, C Tao, X Geng, Q Lin, S Chen, ... arXiv preprint arXiv:2308.09583, 2023 | 269 | 2023 |
| Identifying impactful service system problems via log analysis S He, Q Lin, JG Lou, H Zhang, MR Lyu, D Zhang Proceedings of the 2018 26th ACM joint meeting on European software …, 2018 | 198 | 2018 |
| Aiops: real-world challenges and research innovations Y Dang, Q Lin, P Huang 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 196 | 2019 |
| Improving service availability of cloud systems by predicting disk error Y Xu, K Sui, R Yao, H Zhang, Q Lin, Y Dang, P Li, K Jiang, W Zhang, ... 2018 USENIX Annual Technical Conference (USENIX ATC 18), 481-494, 2018 | 155 | 2018 |
| Correlating events with time series for incident diagnosis C Luo, JG Lou, Q Lin, Q Fu, R Ding, D Zhang, Z Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 141 | 2014 |
| Log2: A {Cost-Aware} logging mechanism for performance diagnosis R Ding, H Zhou, JG Lou, H Zhang, Q Lin, Q Fu, D Zhang, T Xie 2015 USENIX annual technical conference (USENIX ATC 15), 139-150, 2015 | 128 | 2015 |
| Predicting node failure in cloud service systems Q Lin, K Hsieh, Y Dang, H Zhang, K Sui, Y Xu, JG Lou, C Li, Y Wu, R Yao, ... Proceedings of the 2018 26th ACM joint meeting on European software …, 2018 | 122 | 2018 |
| Deeptralog: Trace-log combined microservice anomaly detection through graph-based deep learning C Zhang, X Peng, C Sha, K Zhang, Z Fu, X Wu, Q Lin, D Zhang Proceedings of the 44th international conference on software engineering …, 2022 | 107 | 2022 |
| An empirical investigation of incident triage for online service systems J Chen, X He, Q Lin, Y Xu, H Zhang, D Hao, F Gao, Z Xu, Y Dang, ... 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 102 | 2019 |
| Continuous incident triage for large-scale online service systems J Chen, X He, Q Lin, H Zhang, D Hao, F Gao, Z Xu, Y Dang, D Zhang 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 92 | 2019 |
| 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 | 88 | 2019 |
| Outage prediction and diagnosis for cloud service systems Y Chen, X Yang, Q Lin, H Zhang, F Gao, Z Xu, Y Dang, D Zhang, H Dong, ... The world wide web conference, 2659-2665, 2019 | 85 | 2019 |
| 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 | 84 | 2022 |
| 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 | 84 | 2020 |
| Software analytics for incident management of online services: An experience report JG Lou, Q Lin, R Ding, Q Fu, D Zhang, T Xie 2013 28th IEEE/ACM International Conference on Automated Software …, 2013 | 82 | 2013 |
| WizardLM: Empowering large pre-trained language models to follow complex instructions C Xu, Q Sun, K Zheng, X Geng, P Zhao, J Feng, C Tao, Q Lin, D Jiang The Twelfth International Conference on Learning Representations, 2024 | 79 | 2024 |
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