Hong-Xing (Koven) Yu

Ph.D. Candidate

Computer Science Department

Stanford University

Current Research Topics

I am a PhD candidate at the Stanford Vision and Learning Lab in the Computer Science department of Stanford University, advised by Jiajun Wu. I spent two wonderful summers at Google Research, working with Noah Snavely and Bill Freeman. Prior to Stanford, I visited UC San Diego to work with Manmohan Chandraker.

I study physics-grounded world models — recreating the physical world and simulating how it responds to physical actions. This requires developing next-generation AI systems beyond simply scaling up generative models which lacks the interactability via physical actions. My methodology is integrating physical modeling with generative learning. My work focuses on the methodological principles in physics-grounded world models, and how to apply them to broader domains such as robotics and engineering analysis.

• Jane Street Graduate Fellowship Finalist, 2025
• Meshy Fellowship, 2025
• Roblox Graduate Fellowship Finalist, 2024
• SIGGRAPH Asia Best Paper Award, 2023
• Meta Research PhD Fellowship Finalist, 2023
• Nvidia Graduate Fellowship Finalist, 2022, 2023
• Qualcomm Innovation Fellowship, 2021
• Stanford School of Engineering (SoE) Fellowship, 2020