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Lin Huang

Researcher, Beijing University of Post and Telecommunications

1 paper at NeurIPS 2025

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Poster Session 2

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products

#5512 Spotlight · Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang

We propose a linear-time efficient and equivariant Transformer for scalable molecular modeling.