I am a Ph.D. student at Stanford University advised by Prof. Stefano Ermon. I previously received my bachelor’s degrees in Computer Science and Applied Mathematics at University of California, Los Angeles and was advised by Prof. Song-Chun Zhu and Prof. Ying-Nian Wu. My goal is to create human-centered embodied agents that can understand the world like humans do. Towards this end, I mainly research in computer vision and machine learning, and build models that understand the world in a structured and probablistic manner. I am broadly interested in generative modeling and representation learning, both in unimodal and multimodal settings.
Besides my research, I play the piano and paint, and I love music and visual arts in general.
Diffusion Model Alignment Using Direct Preference Optimization
Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
DiffusionSat: A Generative Foundation Model for Satellite Imagery
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David Lobell, Stefano Ermon
Emergence of Theory of Mind Collaboration in Multiagent Systems
Luyao Yuan, Zipeng Fu, Linqi Zhou, Kexin Yang, Song-Chun Zhu
NeurIPS 2019 Workshop