About Me

I am studying for a Ph.D. in Gaoling School of Artificial Intelligence at Renmin University of China, where I am supervised by Xu Chen.

Research Interests

My primary research interests lie in developing robust and reliable causal models and their applications in recommendation systems. Specifically, I focus on covariate adjustment algorithms, robust causal effect algorithms, and algorithms for generating unobservable confounders under representation learning. In the context of recommendation systems, I aim to leverage causal inference mechanisms to build unbiased, robust, and causally interpretable recommendation models. Additionally, I explore causal discovery, causal structure learning, and causal deep learning, with the intention of making novel attempts and explorations in these areas.

  • Recommendation System
    • Sequential Recommendation System
    • General Recommendation System
  • Causal Inference
    • Robust Causal Inference
    • Reliable Causal Inference


Industry Experiences

  • Tencent (2021.05-2021.11)
    • Research Intern
    • Advisor: Shiqi Shen
    • Research Topics: Wechat Channels Video Recommender System
  • KuaiShou (2023.03-Now)
    • Research Intern
    • Advisor: Xiaoxiao Xu
    • Research Topics: Video Recommender System

Academic Services


  • ACM Transactions on Information Systems (TOIS)


–2023-02-10 One paper on recommender system got accepted by TheWebConf 2023.
–2021-04-15 One paper on recommender system got accepted by SIGIR 2021.