Chen-Hao Chao
Ph.D. in CS @ University of Toronto
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). I collaborated on research projects with Prof. Chun-Yi Lee, visited Prof. Zsolt Kira's lab at Georgia Tech, and interned at NVIDIA and MediaTek.
My current research explores efficient pre-training methods and scaling behavior of diffusion language models, developing approaches that improve training and sampling efficiency. More broadly, my work focuses on probabilistic modeling in generative AI, spanning both discrete and continuous generative methods (e.g., score-based and flow-based models) with applications to reinforcement learning, visual domain adaptation, and biological data visualization.
My current research explores efficient pre-training methods and scaling behavior of diffusion language models, developing approaches that improve training and sampling efficiency. More broadly, my work focuses on probabilistic modeling in generative AI, spanning both discrete and continuous generative methods (e.g., score-based and flow-based models) with applications to reinforcement learning, visual domain adaptation, and biological data visualization.
latest posts [full list]
selected publications [full list]
- TPAMIRainbow UDA: Combining Domain Adaptive Models for Semantic Segmentation TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023