Zequn Lin is a Ph.D. student at the Center for Interdisciplinary Studies, Westlake University. Previously, he obtained a Bachelor of Science degree from Beijing Normal University. His research interests include machine learning, stochastic dynamics, and non-equilibrium statistical physics. Currently, his main research topic is the learning dynamics of deep neural networks.

▎linzequn@westlake.edu.cn

▎Stochastic Dynamics, Machine Learning

Wang Kaidian is a Ph.D. student at the Center for Interdisciplinary Studies, Westlake University. He graduated with a bachelor's degree in Mathematics and Applied Mathematics from Shandong University. He is particularly interested in fields such as complex networks and brain-inspired science, with a special focus on the synchronization phenomena in complex systems. Outside the laboratory, he is passionate about sports, enjoys fitness and playing basketball, and loves reading detective novels.

▎wangkaidian@westlake.edu.cn

▎Complex Networks, Synchronization