Xingjian Bai

This site is the personal academic homepage of Xingjian Bai, a second-year Ph.D. student at MIT CSAIL. It serves as a compact reference for his identity, affiliations, and research direction, linking his graduate work at MIT with earlier degrees in Mathematics and Computer Science from the University of Oxford.

The core content centers on his research: understanding and empirically building stronger generative models, with recent emphasis on flows, diffusion, and video world models. He also notes interests in theoretical computer science, particularly online algorithms and learning-augmented algorithms, and lists collaborations with advisors and researchers at MIT, Oxford, and Stanford.

The site is aimed at academic peers, prospective collaborators, students, and anyone evaluating his research output. A publications section and a blog, including a post on reactive optimizers and the OPAL package, give visitors concrete entry points beyond a short biography.

For best use, start with the About section for context, then browse Publications for formal results and the blog for informal technical notes. A brief personal note on jogging and tennis rounds out the profile. Overall, it is a straightforward academic presence rather than a portfolio or product site.