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Zonghao (Hudson) Chen
Undergrad, Tsinghua University

About me

I am a first year Ph.D. candidate at the Center of Foundational Artificial Intelligence of University College London, supervised by François-Xavier Briol and Arthur Gretton. My research interests center around probabilistic modelling and causal inference.
Prior to my PhD, I obtained my bachelor's degree from the department of Electronic Engineering, Tsinghua Universisty. I have worked as a research assistant at Oxford Applied and Theoretical Machine Learning Group (OATML), advised by Tim G. J. Rudner and Yarin Gal. I have also worked as a research assistant at Statistics and Machine Learning group at the Hong Kong University of Science and Technology (HKUST), advised by Tong Zhang.

Publications and Preprints

  • Tractable Function-Space Variational Inference in Bayesian Neural Networks
    Tim G. J. Rudner*, Zonghao Chen*, Yee Whye Teh, Yarin Gal
    NeurIPS '22 Conference on Neural Information Processing Systems.
    Paper

  • Efficient Neural Network Training via Forward and Backward Propagation Sparsification
    Xiao Zhou*, Weizhong Zhang*, Zonghao Chen, Shizhe Diao, Tong Zhang
    NeurIPS ’21 Conference on Neural Information Processing Systems
    Paper

  • A Neural Tangent Kernel Perspective on Function-Space Regularization in Neural Networks
    Zonghao Chen*, Xupeng Shi*, Tim G. J. Rudner, Qixuan Feng, Weizhong Zhang, Tong Zhang
    Preprint. 2021
    Paper

Awards

  • Tsinghua Presidential Scholarship, Tsinghua University

  • Finalist Award in the Mathematical Contest in Modeling (MCM), The Consortium for Mathematics and its Applications

  • Yinghua Scholarship, Tsinghua University

Valar Morghulis! Valar Dohaeris!