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.
- 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
- 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
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