Zheyuan Zhang
Zheyuan "Brian" Zhang is a PhD student in Computer Science at Johns Hopkins University, advised by Tianmin Shu and Daniel Khashabi. His research focuses on Embodied AI, continual learning, natural language processing, and world models, with the goal of building scalable cognitive agents that can perceive, act, and learn continuously in physical and virtual environments. He has published work on spatial reasoning in vision-language models, embodied lifelong learning, and multi-agent cooperation, and has collaborated with researchers at MIT-IBM Watson AI Lab and the University of Michigan SLED Research Lab.
“Zheyuan Zhang et al. — authors of GRAPE/TPO, the primary competing preference-optimization baseline. 'GRAPE: Generalizing robot policy via preference alignment' (Reference [20]).”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.