Shih-Hsin Wang

According to our database, Shih-Hsin Wang authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning to Control the Smoothness of Graph Convolutional Network Features.

Shih-Hsin Wang, Justin M. Baker, Cory D. Hauck, Bao Wang

CoRR, 2024

An Explicit Frame Construction for Normalizing 3D Point Clouds.

Justin M. Baker, Shih-Hsin Wang, Tommaso de Fernex, Bao Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs.

Dian-Lun Lin, Yanqing Zhang, Haoxing Ren, Brucek Khailany, Shih-Hsin Wang, Tsung-Wei Huang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023