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). During the time at NTHU, I collaborated on five amazing research projects with Prof. Chun-Yi Lee, visited Prof. Zsolt Kira’s lab at Georgia Tech, and interned at NVIDIA and MediaTek.
Research: My research focuses on probabilistic modeling in generative AI, particularly with high-dimensional data. I’m developing scalable training techniques to enhance generative models and their applications in reinforcement learning (RL) and computer vision (CV). My research topics involve diffusion (score-based) models, flow-based models, energy-based models, visual domain adaptation, and maximum entropy RL.
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