Stebėti
Qingwei Lin
Qingwei Lin
Patvirtintas el. paštas microsoft.com
Pavadinimas
Cituota
Cituota
Metai
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
6002019
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
5432016
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
4722023
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
3082014
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
2802023
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
2002018
Aiops: real-world challenges and research innovations
Y Dang, Q Lin, P Huang
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
1972019
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
1562018
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
1412014
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
1282015
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
1242018
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
1102022
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
1032019
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
932019
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
882019
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
882019
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
862022
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
852020
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
822024
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
822013
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