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Yuxuan Chen

Intern

Peking University

Biography

I am currently a research assistant at Peking University supervised by Prof. Zhouchen Lin. Previously I obtained my bachelor‘s degree in applied physics, from Yingcai Honors College, UESTC, and a master’s degree in computer science and technology from UESTC.

Interests

  • Machine Learning
  • Geometric Deep Learning
  • Symmetry

Education

  • B.S. in Applied Physics (Yingcai Honor College), 2015-2019

    University of Electronic Science and Technology of China

  • M.S. in Computer Science and Technology, 2019-2022

    University of Electronic Science and Technology of China

Publications @ZERO Lab

Affine Equivariant Networks Based on Differential Invariants. CVPR, 2024.

Convolutional neural networks benefit from translation equivariance, achieving tremendous success. Equivariant networks further extend …

Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks. ICLR, 2023.

Endowing deep learning models with symmetry priors can lead to a considerable performance improvement. As an interesting bridge between …

Efficient Equivariant Network. NeurIPS, 2021.

Convolutional neural networks (CNNs) have dominated the field of Computer Vision and achieved great success due to their built-in …

Awards

Mathematics competition of Chinese College Students, 1st Place (Final)

Mathematics competition of Chinese College Students, 1st Place (Area)