Biography

Dr. Zhen-Ye Huang earned his Bachelor's degree from Sun Yat-sen University in 2020, subsequently pursuing his doctoral studies at the Institute of Theoretical Physics (ITP), Chinese Academy of Sciences. He obtained his Ph.D. in Science in 2025 and joined the Interdisciplinary Center at Westlake University as a postdoctoral researcher in July 2025. During his doctoral studies, he employed numerical and analytical approaches to investigate fundamental problems in artificial neural networks and computational neuroscience, publishing related research in domestic and international academic journals. Currently, his research focuses on the evolution of complex systems and the statistical physics theory of machine learning. In his leisure time, he enjoys sports such as table tennis as a hobby.

Representative Publications

1. Huang Z Y, Wang W, Zhou H J. Discontinuous phase transition of feature detection in lateral predictive coding[J]. arXiv preprint arXiv:2501.12139, 2025.

2. Huang Z Y, Zhou R, Huang M, et al. Energy-information trade-off induces continuous and discontinuous phase transitions in lateral predictive coding[J]. Science China Physics, Mechanics & Astronomy, 2024, 67(6): 260511.

3. Li C, Huang Z, Zou W, et al. Statistical mechanics of continual learning: Variational principle and mean-field potential[J]. Physical Review E, 2023, 108(1): 014309.

4. Huang Z Y, Fan X Y, Zhou J, et al. Lateral predictive coding revisited: internal model, symmetry breaking, and response time[J]. Communications in Theoretical Physics, 2022, 74(9): 095601.