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Yuhui Ding

Ph.D. Student,
Department of Computer Science,
ETH Zurich.

Please contact me via firstname.lastname (at) inf.ethz.ch

I’m a third-year Ph.D. student in the Department of Computer Science at ETH Zurich. I’m fortunate to be advised by Prof. Thomas Hofmann. I’m currently interested in: (1) Understanding the training dynamics of geometric deep learning models; (2) Generative modeling for structured data in biochemistry (e.g., molecules, proteins).

Previously, I obtained my MPhil from HKUST, advised by Prof. Tong Zhang and Prof. Quanming Yao. Before that, I obtained my bachelor’s degree in computer science from Tsinghua University, where I worked with Prof. Jie Tang.

Selected Publications

  1. ICML
    Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment
    Yuhui Ding, and Thomas Hofmann
    In the 42nd International Conference on Machine Learning , 2025
    PDF Code
  2. ICML
    Recurrent Distance Filtering for Graph Representation Learning
    Yuhui Ding, Antonio Orvieto, Bobby He, and Thomas Hofmann
    In the 41st International Conference on Machine Learning , 2024
    PDF Code
  3. KDD
    DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
    Yuhui Ding, Quanming Yao, Huan Zhao, and Tong Zhang
    In the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , 2021
    PDF Code