— Nengwen Zhao (赵能文)

Department of Computer Science & Technology
Tsinghua University
East Main Building, Tsinghua University, Beijing, China, 100084
Email: znw17 (at) mails.tsinghua.edu.cn

Education

  • 09.2017 – now: Tsinghua University, a Ph.D. candidate in computer science advised by Prof. Dan Pei.  I am also honored to collaborate with Prof. Junjie Chen (Tianjin University) and Dr. Kaixin Sui.
  • 09.2013 – 06.2014: Wuhan University, bachelor of computer science.

Research Interests

AIOps (AI for IT Operations), software maintainence, reliability management. In particular, my Ph.D. work focuses on anomaly detection, alert management and software change analysis in online service systems.

Publications

  • Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems
    Canhua Wu, Nengwen Zhao, Lixin Wang, Xiaoqin Yang, Shining Li, Ming Zhang, Xing Jin, Xidao Wen, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei
    ISSRE 2021 , Wuhan, China, Oct 25, 2021.
    PaperSlides to appear
  • An Empirical Investigation of Practical Log Anomaly Detection for Online Service Systems
    Nengwen Zhao, Honglin Wang, Zeyan Li, Xiao Peng, Gang Wang, Zhu Pan, Yong Wu, Zhen Feng, Xidao Wen ,Wenchi Zhang,Kaixin Sui ,Dan Pei
    ESEC/FSE 2021 (industry track), Athens, Greece, Aug 23, 2021.
    PaperSlides
  • Identifying Bad Software Changes via Multimodal Anomaly Detection for Online Service Systems
    Nengwen Zhao, Junjie Chen, Zhaoyang Yu, Honglin Wang, Jiesong Li, Bin Qiu, Hongyu Xu, Wenchi Zhang, Kaixin Sui, Dan Pei
    ESEC/FSE 2021, Athens, Greece, Aug 23, 2021.
    PaperSlides
  • Practical Root Cause Localization for Microservice Systems via Trace Analysis
    Zeyan Li, Junjie Chen, Rui Jiao, Nengwen Zhao, Zhijun Wang, Shuwei Zhang, Yanjun Wu, Long Jiang, Leiqin Yan, Zikai Wang, Zhekang Chen, Wenchi Zhang, Xiaohui Nie, Kaixin Sui, Dan Pei
    IWQoS 2021, June 25-38, 2021, virtual conference
    PaperDatasetSlidesVideo
  • Real-time Incident Prediction for Online Service Systems
    Nengwen Zhao, Junjie Chen, Zhou Wang , Xiao Peng , Gang Wang, Yong Wu, Fang Zhou, Zhen Feng, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei
    ESEC/FSE 2020,Sacramento, California, United States, November 8,  2020
    PaperSlidesVideo
  • Practical and White-Box Anomaly Detection through Unsupervised and Active Learning
    Yao Wang, Zhaowei Wang, Zejun Xie, Nengwen Zhao, Junjie Chen, Wenchi Zhang, Kaixin Sui, Dan Pei
    ICCCN 2020, Honolulu, Hawaii, USA, August 3 – August 6, 2020.
    PaperSlides
  • Understanding and Handling Alert Storm for Online Service Systems
    Nengwen Zhao, Junjie Chen, Xiao Peng, Honglin Wang, Xinya Wu, Yuanzong Zhan, Zikai Chen , Xiangzhong Zheng, Xiaohui Nie, Gang Wang, Yong Wu, Fang Zhou, Wenchi Zhang, Kaixin Sui, Dan Pei
    ICSE SEIP 2020, Virtual Conference,  Jul 6-11 2020
    PaperSlides
  • Automatically and Adaptively Identifying Severe Alerts for Online Service Systems
    Nengwen Zhao, Panshi Jin, Lixin Wang, Xiaoqin Yang, Rong Liu, Wenchi Zhang, Kaixin Sui, Dan Pei
    INFOCOM 2020, Virtual Conference, Jul 6-9, 2020
    PaperSlidesVideo
  • 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,  Volume: 16 , Issue: 3 , Sept. 2019, Page(s): 1170 – 1183
    Paper(A journal paper, no slides)
  • Label-Less: A Semi-automatic Labelling Tool for KPI Anomalies
    Nengwen Zhao, Jing Zhu, Rong Liu, Dapeng Liu, Ming Zhang, Dan Pei
    INFOCOM 2019, Paris, France, April 29 – May 2, 2019.
    Paper
  • Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
    Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang and Honglin Qiao
    WWW 2018, Lyon, France, 23-27 April 2018
    PaperSlidesCode

Teaching Assistant

  • Spring 2018: Advanced Network Management
    Instructor: Prof. Dan Pei.
  • Fall 2018:  Advanced Network Management
    Instructor: Prof. Dan Pei.
  • Fall 2019: Advanced Network Management
    Instructor: Prof. Dan Pei.

Selected Awards

  • Huawei Scholarship (Top 3%), Tsinghua University, 2020
  • ShenJiaoSuo Scholarship (Top 10%), Tsinghua University, 2019
  • CCF Elite Collegiate Award, 2016
  • LeiJun Scholarship (Top 1%), Wuhan University, 2016
 
 
 
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