Shuibai Zhang (张水柏)

About Me

I am a second-year Computer Science Ph.D. student at the University of Wisconsin-Madison. I received dual bachelor's degrees from a joint program of the University of Electronic Science and Technology of China (UESTC) and the University of Glasgow.

My research focuses on the post-training stages of large foundation models, with the aim of making them more efficient and intelligent. Recently, I have become interested in diffusion language models, which offer inherent advantages such as parallel decoding and built-in error correction, and may hold the potential to reshape future paradigms of language modeling.

As an impact-driven researcher, I aspire for my work to drive progress not only in methodology but also in how large foundation models positively transform science, technology, and society.

Projects

Papers