Mengyue Yang

Computer Science, University of College London


I’m a final-year Ph.D. student in the Department of Computer Science at University College London (UCL), advised by Professor Jun Wang. I was a research intern at ByteDance Research, Microsoft and DIDI AI Labs. Prior to UCL, I received my M.Sc. from the University of Chinese Academy of Sciences.

My research interests lie on Causal Representation Learning, Reinforcement Learning and Multi-agent Systems. If you would like to chat about potential collaboration or common interests, feel free to reach me at


Dec 28, 2023 Invited talk on causal disentanglement learning at CASIA.
Dec 18, 2023 Presentation invitation at KAUST Rising Stars in AI Symposium in February 2024.
Dec 10, 2023 In attending NeurIPS 2023. Poster presentation and host the Causal Structure Learning Competition Competition Link
Dec 1, 2023 Invited talk at DAI 2023 workshop on effecient reinforcement learning.
Nov 26, 2023 Tutorial of Causal Decision Making on RL China 2023. pdf

selected publications


  1. NeurIPS
    Invariant Learning via Probability of Sufficient and Necessary Causes
    Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, and 1 more author
    NeurIPS 2023 **Spotlight!**, 2023


  1. CVPR
    Causalvae: Disentangled representation learning via neural structural causal models
    Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, and Jun Wang
    CVPR 2021, 2021
  2. CIKM
    Top-n recommendation with counterfactual user preference simulation
    Mengyue Yang*, Quanyu Dai*, Zhenhua Dong, Xu Chen, Xiuqiang He, and Jun Wang
    CIKM 2021, 2021