Work Experience: Conducting research on generative models during his PhD at USC; Research Projects: Visual generation and unified multimodal models, representation learning and 3D/4D scene understanding, self-supervised learning in medical and natural images, few-shot NeRF, self-supervised dynamic scene decomposition, etc.
Research Interests: Generative models, visual generation, and unified multimodal models; Professional Field: Computer Science; Summary: Building simple and scalable generative models that span images, video, actions, and unified multimodal systems. The goal is to create a single model that can perceive, understand, and generate the world.
Miscellany
Personal Interests: Pursuing simplicity and scalability, with the belief that things should be as simple as possible but not simpler.