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

Education

• Renmin University Of China (2020-2024)
  • Ph.D. Candidate in the Gaoling School of Artificial Intelligence
  • Supervisor: Xu Chen
  • Research Topics: Recommendation System, Causal Inference
• Renmin University Of China (2017-2020)
  • Software Engineering in Information School
  • Supervisor: Suyun Zhao
  • Research Topics: Feature selection, Ensemble Learning
• Communication University of Zhejiang (2013-2017)
  • Digital Media Art in School of Animation and Digital Arts

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

Reviewer

• ACM Transactions on Information Systems (TOIS)

News

–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.