Zhihan Li (李之涵)

Department of Computer Science & Technology
Tsinghua University
East Main Building, Tsinghua University, Beijing, China, 100084
Email: lizhihan17 (at) mails.tsinghua.edu.cn


  • 09.2017 – now: Tsinghua University, a Ph.D. candidate in computer science under the supervision of Prof. Dan Pei and Prof. Youjian Zhao.
  • 09.2013 – 06.2017: Bachelor of Software engineering, Xidian University.

Research Interests

AIOps (AI for IT Operations), mainly focusing on time series anomaly detection, clustering. 

Machine Learning, mainly focusing on deep generative models like VAEs.


  • Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
    Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, Dan Pei
    KDD 2021, August 14-18, 2021, virtual conference
  • Shallow VAEs with RealNVP Prior Can Perform as Well as Deep Hierarchical VAEs
    Haowen Xu, Wenxiao Chen, Jinlni Lai, Zhihan Li, Youjian Zhao, Dan Pei
    ICONIP2020, November 18 – 22, 2020, Online
  • Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing
    Zhihan Li, Youjian Zhao, Haowen Xu, Wenxiao Chen, Shangqing Xu, Yilin Li, Dan Pei
    IJCNN (WCCI) 2020, Virtual Conference, Jul 19-24, 2020
  • Dynamic TCP Initial Windows and Congestion Control Schemes through Reinforcement Learning
    Xiaohui Nie, Youjian Zhao, Zhihan li, Guo Chen, Kaixin Sui, Jiyang Zhang, Zijie Ye, Dan Pei
    JSAC 2019, Artificial Intelligence and Machine Learning for Networking and Communications
    Paper (A journal paper, no slides)
  • Robust and Rapid Clustering of KPIs for Large-Scale Anomaly Detection
    Zhihan Li, Youjian Zhao, Rong Liu, Dan Pei
    IWQoS 2018, Banff, Alberta, Canada, June 4-6, 2018.
    Paper Slides
  • 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
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