Yongqian Sun (孙永谦)

I am an associate professor and doctoral supervisor at Nankai University, and a researcher at the Tianjin Key Laboratory of Software Experience and Human-Computer Interaction. I obtained my Ph.D. in Computer Science from Tsinghua University in 2018. Since starting my career, I have published over 40 high-quality papers, more than 30 of which were as the first or corresponding author. I hold 10 national invention patents and 2 software copyrights. I have undertaken one National Natural Science Foundation of China project and one Tianjin Natural Science Foundation project. Additionally, I have led more than 10 joint research projects with companies such as Huawei, ByteDance, Alibaba, and Tencent. I was honored with the Best Paper Award and Best Industrial Paper Award at ISSRE 2024 (a CCF B-class international conference), and received the First Prize for Scientific and Technological Progress of China Electronics Society. I was also selected into the Tianjin “131” Innovative Talents Development Program.

Research Interests

  • Anomaly detection, anomaly detection, alert management
  • Routing and switching in Data Center Networks

Education Background

2012.9 – 2018.7         Tsinghua University, Beijing.

                             Ph.D. in Computer Science and Technology, Full-time

                             Advisor: Youjian Zhao, Dan Pei

2008.8 – 2012.7         Northwestern Polytechnical University, Xi’an.

                                       Department of Applied Mathematics, Major in Statistics, at the School of Science

Work Experience

2022.12 – Present        School of Software, Nankai University, Tianjin, Associate Professor.

           Teaching and Research

2018.7 – 2022.12          School of Software, Nankai University, Tianjin, Assistant Professor.

           Teaching and Research

2014.1 – 2018.3             Baidu Operations Department, Beijing, Algorithm Engineer.

 The internship involves three main aspects: achieving anomaly detection in sequential data, localizing anomalies within a multi-  dimensional indicator system, and implementing alarm compression in cloud-native systems.

Research Projects

  • 2024.1-2026.12              Research on Efficient Fault Diagnosis Methods for High-Performance Computing Data Centers, National Natural Science Foundation of China, Principal Investigator.
  • 2023.8-2026.5               Advanced Research Project of China, Project of the Equipment Development Department of the Central Military Commission, Principal Investigator.
  • 2021.10 – 2023.9            Research on Root Cause Analysis of Web Services Based on Complex Heterogeneous Metrics, Natural Science Foundation of Tianjin, Principal Investigator.
  • 2023.8 – 2024.12            Research on AlOps for Cloud Platforms Based on Service Coordination Systems, Cooperation Project with Alibaba, Principal Investigator.
  • 2023.9 – 2024.8              Intelligent Assisted Performance Engineering in Full Link Stress Testing Scenarios, China Computer Federation (CCF Huawei Populus Euphratica Fund), Principal Investigator.
  • 2023.8 – 2024.8              Research on Reflecting Business Status Based on General QoS Indicator Characteristics of Operating Systems, Cooperation Project with Tencent, Principal Investigator.
  • 2023.2 – present              Research and Development of Intelligent Change Assessment Methods, Cooperation Project with Cloud Account Technology (Tianjin), Principal Investigator.
  • 2021.3 – 2022.10             Research and Development of Anomaly Detection Algorithms Based on Metrics and Call Chains, Cooperation Project with Cloud Account Technology (Tianjin), Principal Investigator.
  • 2020.9 – 2021.7               Research on Intelligent Fault Detection and Dynamic Decision-Making Systems in Complex Business Scenarios,    Cooperation Project with Beijing Dajia Huilian Information Technology Co., Ltd, Principal Investigator.
  • 2020.3 – 2021.2               Research on Abnormality Localization Mechanism for Multi-Dimensional KPIs Based on Reinforcement Learning, Cooperation Project with Tencent, Principal Investigator.
  • 2019.1 – 2020.12              Fine-Grained Anomaly Localization for Multi-Dimensional KPI Systems, Special Funding Projects for Basic Research Business Expenses of Central Universities, Principal Investigator.
  • 2019.7 – 2020.6               Anomaly Localization of Multi-Dimensional Attribute KPIs, Cooperation Project with Lijie, Principal Investigator.
  • 2019.2 – 2020.2               AIR Cooperation Agreement – Analysis and Mining of Monitoring Indicators, Cooperation Project with Tianmao, Principal Investigator.
  • 2019.1 – 2019.12               Academic Collaboration in the Field of Intelligent Operations and Maintenance, Cooperation Project with Huya, Principal Investigator.

Professional Activities

  • IEEE Member.
  • ACM Member.
  • Executive Member of the CCF Internet Committee.
  • Executive Member of the CCF Software Engineering Committee.
  • Executive Member of the CCF Service Computing Committee.
  • PRICAI 2023 TPC Member.
  • ICA3PP 2023 TPC Member.
  • HDR-Net 2019/2020 TPC Member.
  • AIOps workshop 2020 TPC Member.

Awards and Honors (Partial)

  • 2024  Best Paper Award, IEEE ISSRE.
  • 2024  Best Industry Paper Award, IEEE ISSRE.
  • 2023  First Prize for Scientific and Technological Progress, China Electronics Society, Ranked 4th.
  • 2022  University-Level “First-Class Course Construction” Teaching Reform Project.
  • 2019  Tianjin “131” Innovative Talent Cultivation Project, Level Three.

Publications

  • Selected publications can be found here.

Patents

  1. Shenglin Zhang, Dongwen Li, Yonggian Sun, Zhenyu Zhong, Yuzhi Zhang. A Data Classification Method and Device Based on Large-scale Networks. Chinese Patent: 202210306441.9. August 5, 2022.
  2. Shenglin Zhang, Pengxiang Jin, Yongqian Sun, Bicheng Zhang, Zihan Lin, Sibo Xia, Wa Jin. Microservice Fault Diagnosis Method, Device, and Equipment Based on Graph Convolutional Neural Networks. Chinese Patent: 202210736465.8. June 27, 2022.
  3. Yongqian Sun, Pengxiang Jin, Shenglin Zhang, Sibo Xia, Zihan Lin, Bicheng Zhang, Wa Jin. Microservice Fault Detection Method, Device, Storage Medium, and Computer Equipment. Chinese Patent: 202210705260.3. June 21, 2022.
  4. Yongqian Sun, Ruru Zhang, Shenglin Zhang, Xiao Xiong, Zihan Lin, Hui Yang, Xiaopei Li, Hongjian Yu, Xiaotong Li. Method, Device, Electronic Equipment, and Storage Medium for Detecting Periodic Data Anomalies. Chinese Patent: 202210423200.2. April 21, 2022.
  5. Yongqiang Zou, Hui Yang, Xiaopei Li, Hongjian Yu, Xiaotong Li, Yongqian Sun, Ruru Zhang, Shenglin Zhang, Zhiyuan Tan, Yuchen Wen. Method, Device, Electronic Equipment, and Readable Storage Medium for Detecting Single Indicator Anomalies. Chinese Patent: 202210418771.7. April 21, 2022.
  6. Yongqian Sun, Man Zhu, Shenglin Zhang. Method for Evaluating the Health Status After Software Changes Using Al. Chinese Patent: 2022101878107. February 2022.
  7. Shenglin Zhang, Dongwen Li, Rui Chen, Yongqian Sun, Yuzhi Zhang. Log Anomaly Detection Method Based on Transfer Learning. Chinese Patent: 202010813538X. August 2020.

  8. Yun Chen, Bo Wang, Dong Wang, Xianping Qu, Xuanyou Guo, Yongqian Sun, Yangsha Wan. System Monitoring Method and Device. Chinese Patent: CN201610814685.2. September, 2018 – September, 2038.

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