GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs. - Dian-Lun Lin; Yanqing Zhang 002; Haoxing Ren; Brucek Khailany; Shih-Hsin Wang; Tsung-Wei Huang (DAC, 2023)

Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks. - Shih-Hsin Wang; Yung-Chang Hsu; Justin M. Baker; Andrea L. Bertozzi; Jack Xin; Bao Wang 001 (ICLR, 2024)

An Explicit Frame Construction for Normalizing 3D Point Clouds. - Justin M. Baker; Shih-Hsin Wang; Tommaso de Fernex; Bao Wang 001 (ICML, 2024)

Learning to Control the Smoothness of Graph Convolutional Network Features. - Shih-Hsin Wang; Justin M. Baker; Cory D. Hauck; Bao Wang 001 (CoRR, 2024)

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 001 (ICLR, 2025)