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Yikang Li

liyk18 AT pku.edu.cn

Ph.D. student

Peking University

Biography

I am a third-year Ph.D. student at Peking University (PKU). Here I am lucky enough to work with Prof. Zhouchen Lin.

Interests

  • Machine Learning
  • Equivariant Deep Learning

Education

  • B.S. in Statistics, 2018-2022

    Peking University

Internships

Publications @ZERO Lab

Symmetry Discovery for Different Data Types. NN, 2025.

Equivariant neural networks incorporate symmetries into their architecture, achieving higher generalization performance. However, …
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Explicit Discovery of Nonlinear Symmetries from Dynamic Data. ICML, 2025.

Symmetry is widely applied in problems such as the design of equivariant networks and the discovery of governing equations, but in …

Affine Steerable Equivariant Layer for Canonicalization of Neural Networks. ICLR, 2025.

In the field of equivariant networks, achieving affine equivariance, particularly for general group representations, has long been a …
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Affine Equivariant Networks Based on Differential Invariants. CVPR, 2024.

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