Wang, Shih-Hsin

5 publications

ICLR 2025 A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules Shih-Hsin Wang, Yuhao Huang, Justin M. Baker, Yuan-En Sun, Qi Tang, Bao Wang

ICML 2025 Improving Flow Matching by Aligning Flow Divergence Yuhao Huang, Taos Transue, Shih-Hsin Wang, William M Feldman, Hong Zhang, Bao Wang

NeurIPS 2025 Towards Multiscale Graph-Based Protein Learning with Geometric Secondary Structural Motifs Shih-Hsin Wang, Yuhao Huang, Taos Transue, Justin M. Baker, Jonathan Forstater, Thomas Strohmer, Bao Wang

ICML 2024 An Explicit Frame Construction for Normalizing 3D Point Clouds Justin Baker, Shih-Hsin Wang, Tommaso De Fernex, Bao Wang

ICLR 2024 Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks Shih-Hsin Wang, Yung-Chang Hsu, Justin Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang