Yue Cheng

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I am a PhD student at Beijing Jiaotong University., advised by Prof. Weiwei Xing and working as an intern under Prof. Zhanxing Zhu.

My research interests lie in machine learning and causal inference. Most recently, I have been working on causal representation learning, aiming to uncover latent structures and climate from saptial-temproal data.

Previously, I obtained my master’s degree from Chongqing University of Posts and Telecommunications (CQUPT) and bachelor’s degree also from CQUPT. During my study, I have spent time at AntGroup and DataCanvas.

selected publications

  1. ICLR
    DyCAST: Learning Dynamic Causal Structure from Time Series
    Yue Cheng, Bochen Lyu, Weiwei Xing, and Zhanxing Zhu
    In The Thirteenth International Conference on Learning Representations (ICLR), 2025
  2. NeurIPS
    Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
    Xiaohui Gao*, Haoran Yang*, Yue Cheng*, Mengfei Zuo, Yiheng Liu, Peiyang Li, and Xintao Hu
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025