Shenglin Zhang

Shenglin Zhang (张圣林)

Shenglin Zhang is an Associate Professor at the College of Software, Nankai University. His research primarily focuses on AIOps, encompassing anomaly detection, failure diagnosis, root cause analysis, and failure prediction in software and network service management. He has published over 60 papers at prestigious international conferences such as ATC, WWW, VLDB, KDD, FSE, SIGMETRICS, CoNEXT, INFOCOM, IJCAI, ISSRE, and IWQOS, as well as in peer-reviewed journals including JSAC, TOSEM, TC, TSC, and TNSM. It is noteworthy that he was awarded the “Young Academic Leaders Training Program” at Nankai University and received the Best Research Paper Awards at ISSRE in 2023 and 2018.As the principal investigator, he has led 20 projects funded by entities such as the NSFC, China Postdoctoral Science Foundation, Huawei, ByteDance, ZTE, and CERNET. From 2018 to 2019, he served as a visiting scholar at Alibaba.

Before joining Nankai University, Shenglin Zhang earned his Ph.D. in Computer Science and Technology from Tsinghua University, where he was honored with the “Outstanding Doctoral Dissertation of Tsinghua University” award. His advisors were Professors Dan Pei and Ying Liu. In 2016, he was a visiting scholar at the School of Computer Science, Georgia Institute of Technology, under the supervision of Professor Jun (Jim) Xu. Prior to his studies at Tsinghua, he received his B.S. in Network Engineering from Xidian University in 2012. Between 2014 and 2017, he completed an internship at Baidu, one of the world’s leading search engines. From November 2017 to May 2018, alongside Professor Dan Pei, he initiated the CCF International AIOps Challenge, marking the first competition in the field of AIOps. They also successfully organized the inaugural AIOps Workshop on May 19, 2018. In 2023, he served as the TPC Chair for the 6th CCF International AIOps Challenge.

Research Interests

  • Failure detection, diagnosis, and prediction for service/network management
  • Resource scheduling for cloud-native scenario

Professional Activities

  • Artifact Evaluation Co-Chair of ISSRE 2024
  • TPC member of KDD 2025
  • TPC member of WSDM 2023/2024/2025
  • TPC member of IEEE/ACM IWQoS 2022/2023
  • TPC member of ICNP 2022/2023
  • TPC member of WWW 2022
  • TPC member of IEEE ISSRE 2019/2020/2021/2022/2023/2024
  • TPC member of ICA3PP 2023
  • TPC member of PRICAI 2023
  • IEEE member
  • ACM member
  • Reviewer of JSAC/TDSC/IoTJ/ASUR/TNSM/JCST
  • TPC member of HDR-Nets 2019/2020
  • TPC member of AIOps Workshop 2020

Courses

Selected Honors and Awards

  • 2023 Best Research Paper Award, IEEE ISSRE
  • 2018 Best Research Paper Award, IEEE ISSRE

Invited Talks

  • Failure Diagnosis for Large-Scale Cloud Services, Academic Saloon on AIOPS 2023, Beilin, Germany, 05/23/2023
  • Failure Detection, Diagnosis, and Prediction for Large-Scale Cloud Services, Asia Pacific Advanced Network, 03/09/2023, online
  • Failure Detection, Diagnosis, and Prediction for Large-Scale Cloud Services, MS-AIOps workshop (co-located with ISSRE 2021), 10/28/2021, Wuhan, China

Publications

Selected publications can be found here.

Media Links

Contacts

  • Email: zhangsl at nankai.edu.cn

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