My name is Qingfeng Lan, a PhD student at University of Alberta. I have broad interests in artificial intelligence, especially reinforcement learning and representation learning. Currently, I am working on projects about policy gradient algorithms and optimiziers for reinforcement learning. Please see my CV for more information.


  • University of Alberta, Sep 2020-Present

    • Doctor of Philosophy in Computing Science
    • Supervisor: Rupam Mahmood
  • University of Alberta, Sep 2018-Aug 2020

    • Master of Science (Thesis-based) in Computing Science
    • Supervisor: Alona Fyshe
  • University of Chinese Academy of Sciences, Sep 2014-July 2018

    • Bachelor of Engineering, major in Computer Science and Technology, minor in Physics
    • Supervisor: Yanyan Lan; Tutor: Guojie Li
  • St Edmund Hall, University of Oxford, Oct 2017-Mar 2018


  • Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White. Maxmin Q-learning: Controlling the Estimation Bias of Q-learning. ICLR, 2020. (Poster) [paper] [code][video]

  • Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner. Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. NeurIPS Workshop on Causal Machine Learning, 2019. (Poster Spotlight) [paper]

  • Zhou Yang, Qingfeng Lan, Jiafeng Guo, Yixing Fan, Xiaofei Zhu, Yanyan Lan and Yue Wang, Xueqi Cheng: A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. CCIR, 2018. (Best Paper Award Candidate). [paper] [code]


  • Email: qlan3#ualberta.ca (Please replace # with @)