Minghua Ma

Department of Computer Science and Technology
Tsinghua University
East Main Building, Tsinghua University, Beijing, China, 100084
Email: minghuama (at) outlook.com


  • 09.2016 – now: Tsinghua University, a Ph.D. candidate in computer science advised by Prof. Dan Pei.  
  • 09.2019 – 08.2020: Georgia Institute of Technology, visiting scholar in computer science advised by Prof. Jun (Jim) Xu.
  • I am also honored to collaborate with Prof. Shenglin Zhang (Naikai University) and Prof. Junjie Chen (Tianjin University).

Research Interests

AIOps (AI for IT Operations): data-driven reliability management in large-scale service systems. In particular, my Ph.D. work focuses on anomaly detection and root cause diagnosis in various scenarios of service systems.


Service Reliability Management:

  • Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems
    Minghua Ma, Shenglin Zhang, Junjie Chen, Jim Xu, Haozhe Li, Yongliang Lin, Xiaohui Nie, Bo Zhou, Yong Wang, Dan Pei
    ATC 2021, virtual event, July 14, 2021. TH-CPL A
  • Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases
    Minghua Ma, Zheng Yin, Shenglin Zhang, Sheng Wang, Christopher Zheng, Xinhao Jiang, Hanwen Hu, Cheng Luo, Yilin Li, Nengjun Qiu, Feifei Li, Changcheng Chen, Dan Pei
    VLDB 2020, Tokyo, Japan, August 31, 2020. TH-CPL A
  • Batch Job Run Time Prediction for Auto-Scaling in the Cloud
    Minghua Ma, Christopher Zheng, Junjie Chen, Yilin Li, Dan Pei
    CIEMCS 2020 , New York, NY, USA, February 7, 2020. (AAAI 2020 Workshop)
  • Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection 
    Nengwen Zhao, Jing Zhu , Yao Wang, Minghua Ma, Wenchi Zhang, Dapeng Liu, Ming Zhang, Dan Pei
    IEEE TNSM (IEEE Transactions on Network and Service Management), 2019. TH-CPL B
  • Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection
    Minghua Ma, Shenglin Zhang, Dan Pei, Xin Huang, Hongwei Dai
    ISSRE 2018 , Memphis, TN, USA, October 15-18, 2018. TH-CPL B
    🏆 IEEE 29th ISSRE Best Research Paper Award

WiFi Network Management:

  • You Can Hide, But Your Periodic Schedule Can’t
    Minghua Ma, Kai Zhao, Kaixin Sui, Lei Xu, Yong Li, Dan Pei
    IWQoS 2017, Vilanova i la Geltrú, Barcelona, Spain, 14-16 June 2017. (Short paper) TH-CPL B
  • EDUM: Classroom Education Measurements via Large-scale WiFi Networks
    Mengyu Zhou, Minghua Ma, Yangkun Zhang, Kaixin Sui, Dan Pei, Thomas Moscibroda
    UbiComp 2016, Heidelberg, Germany, Sep 2016. TH-CPL A
  • Characterizing and Improving WiFi Latency in Large-Scale Operational Networks
    Kaixin Sui, Mengyu Zhou, Dapeng Liu, Minghua Ma, Dan Pei, Youjian Zhao, Zimu Li, Thomas Moscibroda
    MobiSys 2016, Singapore, June 2016. TH-CPL A
  • MobiCamp: a Campus-wide Testbed for Studying Mobile Physical Activities
    Mengyu Zhou, Kaixin Sui, Minghua Ma, Youjian Zhao, Dan Pei, Thomas Moscibroda
    WPA 2016, Singapore, June 2016. (MobiSys 2016 Workshop)
  • Your Trajectory Privacy Can Be Breached Even If You Walk in Groups
    Kaixin Sui, Youjian Zhao, Dapeng Liu, Minghua Ma, Lei Xu, Li Zimu, Dan Pei
    IWQoS 2016, Beijing, China, June 2016. (Short paper) TH-CPL B
  • WiFi can Be the Weakest Link of Round Trip Network Latency
    Changhua Pei, Youjian Zhao, Guo Chen, Ruming Tang, Yuan Meng, Minghua Ma, Ken Ling, Dan Pei
    INFOCOM 2016, San Francisco, CA, USA, Apr 2016. TH-CPL A

* TH-CPL is the Recommended Conference and Journal List of Computer Science at Tsinghua University.

Research Experience

  • 12.2018 – 09.2019: Research intern in Alibaba Cloud Database Department.
  • 12.2016 – 04.2018: Research intern in Sogou TED (Technology and Engineering Department).
  • 04.2015 – 12.2016: Team member of Enterprise WiFi Measurement.

Teaching Assistant

Selected Awards

  • Outstanding Graduate of Department of Computer Science and Technology 2021.
  • VMware Scholarship 2020 (Top 5% in the Institute of Computer Networks).
  • Best Paper Award, the 29th International Symposium on Software Reliability Engineering (ISSRE 2018).
  • Best Paper Award, the 10th International Doctoral Forum (Shenzhen 2018).


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