My name is George Ma (Jiangyan Ma). I am an EECS PhD student at UC Berkeley, advised by Prof. Somayeh Sojoudi. Previously, I was an undergraduate student at Peking University, where I did research on graph learning at Prof. Yisen Wang’s lab. My email: georgem@stu.pku.edu.cn. My CV: George Ma’s CV. I actively write blogs on Zhihu: George M’s Zhihu Homepage.
Research Interests
- Graph Neural Networks
- Invariant and Equivariant Neural Networks
- Generative Models
- Optimization Theory
Publications
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
Jiangyan Ma, Yifei Wang, Yisen Wang (2023). Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding. In Thirty-seventh Conference on Neural Information Processing Systems.
Baking Symmetry into GFlowNets
Jiangyan Ma, Emmanuel Bengio, Yoshua Bengio, Dinghuai Zhang (2023). Baking Symmetry into GFlowNets. In NeurIPS 2023 AI for Science: from Theory to Practice.
A Canonization Perspective on Invariant and Equivariant Learning
George Ma, Yifei Wang, Derek Lim, Stefanie Jegelka, Yisen Wang (2024). A Canonization Perspective on Invariant and Equivariant Learning. In Thirty-eighth Conference on Neural Information Processing Systems.
Professional Activities
- Top reviewer, NeurIPS 2024
- Reviewer, ICLR 2025