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Minghua Ma
Minghua Ma
Microsoft Research Lab Asia
在 microsoft.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Characterizing and improving wifi latency in large-scale operational networks
K Sui, M Zhou, D Liu, M Ma, D Pei, Y Zhao, Z Li, T Moscibroda
Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016
1042016
WiFi can be the weakest link of round trip network latency in the wild
C Pei, Y Zhao, G Chen, R Tang, Y Meng, M Ma, K Ling, D Pei
IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016
692016
EDUM: classroom education measurements via large-scale WiFi networks
M Zhou, M Ma, Y Zhang, K SuiA, D Pei, T Moscibroda
Proceedings of the 2016 acm international joint conference on pervasive and …, 2016
572016
Robust and rapid adaption for concept drift in software system anomaly detection
M Ma, S Zhang, D Pei, X Huang, H Dai
2018 IEEE 29th International Symposium on Software Reliability Engineering …, 2018
452018
Diagnosing root causes of intermittent slow queries in cloud databases
M Ma, Z Yin, S Zhang, S Wang, C Zheng, X Jiang, H Hu, C Luo, Y Li, ...
Proceedings of the VLDB Endowment 13 (8), 1176-1189, 2020
392020
Automatic and generic periodicity adaptation for kpi anomaly detection
N Zhao, J Zhu, Y Wang, M Ma, W Zhang, D Liu, M Zhang, D Pei
IEEE Transactions on Network and Service Management 16 (3), 1170-1183, 2019
262019
Mobicamp: A campus-wide testbed for studying mobile physical activities
M Zhou, K Sui, M Ma, Y Zhao, D Pei, T Moscibroda
Proceedings of the 3rd International on Workshop on Physical Analytics, 1-6, 2016
182016
Your trajectory privacy can be breached even if you walk in groups
K Sui, Y Zhao, D Liu, M Ma, L Xu, L Zimu, D Pei
2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS), 1-6, 2016
152016
{Jump-Starting} Multivariate Time Series Anomaly Detection for Online Service Systems
M Ma, S Zhang, J Chen, J Xu, H Li, Y Lin, X Nie, B Zhou, Y Wang, D Pei
2021 USENIX Annual Technical Conference (USENIX ATC 21), 413-426, 2021
92021
You can hide, but your periodic schedule can't
M Ma, K Zhao, K Sui, L Xu, Y Li, D Pei
2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS), 1-6, 2017
32017
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
Y Liu, H Yang, P Zhao, M Ma, C Wen, H Zhang, C Luo, Q Lin, C Yi, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
12022
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
12022
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
2022
An empirical investigation of missing data handling in cloud node failure prediction
M Ma, Y Liu, Y Tong, H Li, P Zhao, Y Xu, H Zhang, S He, L Wang, Y Dang, ...
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
2022
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances
M Ma, Z Tian, M Hort, F Sarro, H Zhang, Q Lin, D Zhang
arXiv preprint arXiv:2209.08321, 2022
2022
Constructing Large-Scale Real-World Benchmark Datasets for AIOps
Z Li, N Zhao, S Zhang, Y Sun, P Chen, X Wen, M Ma, D Pei
arXiv preprint arXiv:2208.03938, 2022
2022
Mining Fluctuation Propagation Graph Among Time Series with Active Learning
M Li, M Ma, X Nie, K Yin, L Cao, X Wen, Z Yuan, D Wu, G Li, W Liu, ...
International Conference on Database and Expert Systems Applications, 220-233, 2022
2022
DockerMock: Pre-Build Detection of Dockerfile Faults through Mocking Instruction Execution
M Li, X Bai, M Ma, D Pei
arXiv preprint arXiv:2104.05490, 2021
2021
Batch Job Run Time Prediction for Auto-Scaling in the Cloud
M Ma, C Zheng, J Chen, Y Li, X Peng, G Wang, Y Wu, F Zhou, W Zhang, ...
2020
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