Zhiyuan Ouyang

I am a second-year Ph.D. student in Computational Mathematics at East China Normal University and Shanghai Innovation Institute, co-supervised by Assoc. Prof. Xiangyun Zhang and Prof. Junchi Yan.

My doctoral training is centered on generative models, computational mathematics, and AI systems. During my Ph.D., I was awarded the National Scholarship for PhD Students in China (Top 1.5%). I also received a provincial first prize in a collegiate C/C++ programming contest, which reflects my long-standing interest in combining mathematical rigor with practical system building.

My research focuses on theoretical understanding, generalization, and efficient controllable generation. In parallel, I work on large-scale AI systems including Slurm scheduling, DDP training, and practical deployment of visual generation pipelines. I am also interested in Web3 systems and prediction markets, especially on-chain execution infrastructure for complex strategy deployment around Polymarket.

I try to connect rigorous model understanding with practical engineering systems that are efficient, controllable, and deployable.

[Updated in 06/2026]