Haoxiang You

My_photo.jpg

I’m Haoxiang You (尤皓翔), a Ph.D. student in Mechanical Engineering at Yale University, advised by Professor Ian Abraham. Previously, I earned my master’s degree from the University of Pennsylvania, where I was fortunate to work with Professors Michael Posa and Pratik Chaudhari, and my bachelor’s degree from Ningbo University.

I’m broadly interested in robotics, reinforcement learning, simulation and agents. Outside of research, I enjoy playing computer games, DIY projects, and cooking.

News

Feb 26, 2026 Our collabrative work “Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning” has been accepted to CVPR 2026! 🎬✨
Jan 27, 2026 Our work on sample-based hybrid mode control has been accepted to ICRA 2026! 🤖🎉
Sep 18, 2025 Our work “D.Va” has been accepted to NeurIPS 2025 as a Spotlight paper! 🎉✨

Publications

  1. Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
    You, Haoxiang, Liu, Yilang,  and Abraham, Ian
    NeurIPS 2025
    Spotlight
    Website arXiv Code
  3. Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning
    Wang, Qi, Wu, Mian, Zhang, Yuyang,  You, Haoxiang and 6 more authors
    CVPR 2026
    Website arXiv
  4. Is Bellman Equation Enough for Learning Control?
    You, Haoxiang, Molu, Lekan,  and Abraham, Ian
    preprint 2025
    arXiv

Selected Projects

  1. project thumbnail
    Sim-to-real control of bipedal Cassie robot
    Developed sim-to-real control strategies for the Cassie bipedal robot, focusing on trajectory optimization, feedback control, system identification and state estimation.
  2. project thumbnail
    Motion Planning, Path Search, and Visual-Inertial Odometry for UAVs
    End-to-end implementation of motion planning, path search algorithms, and VIO for autonomous UAV navigation
  3. project thumbnail
    Design and Manufacturing of Electric Car with Remote Control
    Complete design and manufacturing of an electric car including mechanical design, circuit design, electrical systems, and remote control implementation