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Hong-Xing (Koven) Yu

Ph.D. Candidate

Computer Science Department

Stanford University

Email: koven@cs.stanford.edu

Google Scholar / Github / Twitter

Current Research Topics

• Visual World Generation
• Physical Scene Understanding
• Physical Dynamics Simulation

I am a PhD candidate at the Stanford Vision and Learning Lab in the Computer Science department of Stanford University, advised by Jiajun Wu. My research centers around how AI can understand, generate, and interact with the physical world. 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.

Selected Awards

• 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

Publications (Show selected / Show all by date / Show all by topic)

Current Research Topics: Visual World Generation / Physical Scene Understanding / Physical Dynamics Simulation; Past Research Topic: Person Re-Identification

(* indicates equal contributions)