Shengze Xu

Shengze Xu

ZJU → CUHK

I am a PhD student in the Department of Mathematics at the Chinese University of Hong Kong, advised by Prof. Tiyeong Zeng. Previously, I got my bachelor’s degree in Mathematics and Applied Mathematics from Zhejiang University in 2023, with an honors degree from the Mixed Class, Chu Kochen Honors College.

My research interests are mainly in deep learning theory, such as the approximation ability of neural networks. At the same time, I have a strong interest in the intersection of AGI and mathematics, such as using large language models to solve mathematical problems.

📝 Working Papers

  • Quasi-Equivalence between Width and Depth of CNN

  • Mean Field Induced Neural Networks

  • A plug-and-play module for medical image segmentation

🎖 Honors and Awards

  • 2023.06 Zhejiang Provincial Outstanding Graduate (top1%)
  • 2023.06 Outstanding Graduate of Zhejiang University
  • 2022.10 Zhejiang University First Prize Scholarship (top3%)
  • 2022.09 Outstanding Student of Zhejiang University
  • 2021.10 Zhejiang University First Prize Scholarship (top3%)
  • 2021.09 Outstanding Student of Zhejiang University

📖 Educations

  • 2023.09 - Present, Ph.D. in Mathematics, The Chinese University of Hong Kong, Hong Kong
  • 2019.09 - 2023.06, B.S. in Mathematics and Applied Mathematics, Zhejiang University, Hangzhou, China.

💬 Invited Talks

  • 2024.07, Mean Field Neural Network, Lagrange Mathematics and Computation Research Center, Paris
  • 2023.05, Further studies sharing session, The School of Mathematical Sciences, Zhejiang University

💻 Internships