Chen-Hao Chao

Hello, I’m a Computer Science Ph.D. student at the University of Toronto (UofT), advised by Prof. Rahul G. Krishnan. Prior to this, I completed my master’s and bachelor’s degrees in Computer Science at National Tsing Hua University (NTHU). During the time at NTHU, I collaborated on several amazing research projects with Prof. Chun-Yi Lee, visited Prof. Zsolt Kira’s lab at Georgia Tech, and interned at NVIDIA and MediaTek.

My research focuses on probabilistic modeling in generative AI, particularly with high-dimensional data. I develop scalable training techniques that improve the sample quality, efficiency, and cross-domain applicability of generative models. My work spans fundamental research on both discrete (e.g., masked diffusion models) and continuous (e.g., score-based and flow-based models) generative methods, applied to visual domain adaptation, maximum entropy reinforcement learning, and biological data visualization.