Full Professor, Tsinghua-Berkeley Shenzhen Institute
2 papers at NeurIPS 2025
We propose MK-CAViT, a multi-kernel Vision Transformer with HGR-based correlation attention, achieving efficient multi-scale feature learning.
We propose NS-EGNN, which is capable of modeling non-stationary physical dynamics with equivariance.