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Qingwei Lin
Qingwei Lin
Microsoft Research
Verified email at microsoft.com
Title
Cited by
Cited by
Year
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
3502016
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
2852019
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
2502014
Aiops: real-world challenges and research innovations
Y Dang, Q Lin, P Huang
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
1312019
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
1292018
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
1162018
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
1112014
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
1022015
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
872018
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
662013
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
632019
SONIC: Application-aware data passing for chained serverless applications
A Mahgoub, K Shankar, S Mitra, A Klimovic, S Chaterji, S Bagchi
USENIX Annual Technical Conference (USENIX ATC), 2021
612021
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
582019
Cross-dataset Time Series Anomaly Detection for Cloud Systems.
X Zhang, Q Lin, Y Xu, S Qin, H Zhang, B Qiao, Y Dang, X Yang, Q Cheng, ...
USENIX Annual Technical Conference, 1063-1076, 2019
522019
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
512019
Contextual analysis of program logs for understanding system behaviors
Q Fu, JG Lou, Q Lin, R Ding, D Zhang, T Xie
2013 10th Working Conference on Mining Software Repositories (MSR), 397-400, 2013
482013
Application-specific power management
Q Lin, F Li, J Li
US Patent 8,635,475, 2014
392014
iDice: problem identification for emerging issues
Q Lin, JG Lou, H Zhang, D Zhang
Proceedings of the 38th International Conference on Software Engineering …, 2016
372016
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
332019
Identifying recurrent and unknown performance issues
MH Lim, JG Lou, H Zhang, Q Fu, ABJ Teoh, Q Lin, R Ding, D Zhang
2014 IEEE International Conference on Data Mining, 320-329, 2014
332014
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Articles 1–20