Mengyue Yang

Computer Science, University of College London

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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 and DIDI AI Labs. Prior to UCL, I received my M.Sc. from the University of Chinese Academy of Sciences.

My research interests are Reinforcement Learning, Multi-agent Systems and Causality. If you would like to chat about potential collaboration or common interests, feel free to reach me at mengyue.yang.20@ucl.ac.uk.

news

Jul 7, 2024 Invited talk about Causality Agents & Foundation Model at 集智 因果读书会. This talk explores the research line of Causal Agents & Foundation Models and future prospects of the Causal Agent problem. Please refer to the slides for details.
Jul 4, 2024 Invited talk at Causality Conference PCIC 2024. PCIC 2024 is scheduled to be held concurrently with the World Artificial Intelligence Conference (WAIC). My talk is about Essential Causal Representation Learning via the Probability of Sufficient and Necessary Causes. Slides
Dec 18, 2023 I’m honoured to be selected as the speaker 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.

selected publications

2024

  1. preprint
    Attaining Humans Desirable Outcomes in Human-AI Interaction via Structural Causal Games
    Anjie Liu, Jianhong Wang, Haoxuan Li, Xu Chen, Jun Wang, Samuel Kaski, and Mengyue Yang
    arXiv preprint arXiv:2405.16588, 2024

2023

  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 (Spotlight 3.06%), 2023

2021

  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
  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