Shaoyi Zheng (郑邵一)

Shaoyi Zheng (郑邵一)

Shaoyi Zheng is a Ph.D. student in Computer Science advised by Professor Shengjie Wang. He holds a B.S. degree in Computer Science from NYU Shanghai. His current research focuses on generative models, including diffusion models and large language models, with particular emphasis on computational efficiency.

Publications
Wenbo Lu*, Shaoyi Zheng*, Yuxuan Xia, Shengjie Wang  ToMA: Token Merging with Attention For Diffusion Models

Research Interests
  • Efficient Model Architectures
  • Algorithmic Acceleration for Generative Models
  • Kernel Optimization and Hardware Co-design