Tao Huang - 黄涛

taohuang.jpg

at Lamma Island in 2023

I am a first-year Ph.D. student in Computer Science and Engineering at Shanghai AI Lab and Shanghai Jiao Tong University, supervised by Dahua Lin and Jiangmiao Pang. I obtained my M.Phil. degree at The Chinese University of Hong Kong and B.Eng. degree at ShanghaiTech.

I have spent a wonderful time in Tencent Robotics X and Shanghai Qi Zhi Institute.

My previous research focus on robot learning from demonstrations. My current research focuses on humanoid robot learning. Outside of academics, I am an enthusiast of street photography.


Recent Activities

Oct 29, 2024 One paper on visual representation learning for robotic tasks (MCR) was released.
Sep 18, 2024 I obtain my M.Phil. degree at CUHK, and start my new Ph.D. in Shanghai.
Jul 2, 2024 One paper on visual reward learning for robotic tasks (Diffusion Reward) was accepted to ECCV 2024.
Mar 24, 2024 One paper on physics-based scene/motion generation was accepted to SIGGRAPH 2024.
Jun 22, 2023 One paper on RL for long-horizon robotic tasks (ViSkill) was accepted to IROS 2023.
May 19, 2023 One paper on robot learning platform (SurRoL) was accepted to RA-L 2023.
Jan 16, 2023 One paper on data-efficient RL for robotic tasks (DEX) was accepted to ICRA 2023.

Selected Projects

  1. Under Review
    Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Dataset
    Guangqi Jiang*, Yifei Sun*, Tao Huang*, Huanyu Li, Yongyuan Liang, and Huazhe Xu
    arXiv (Under Review) , 2024
    Details
  2. ECCV
    Diffusion Reward: Learning Rewards via Conditional Video Diffusion
    Tao Huang*, Guangqi Jiang*, Yanjie Ze, and Huazhe Xu
    European Conference on Computer Vision (ECCV) , 2024
    Details
  3. Under Review
    GRUtopia: Dream General Robots in a City at Scale
    Hanqing Wang*, Jiahe Chen*, Wensi Huang*, Qingwei Ben*, Tai Wang*, Boyu Mi*, Tao Huang, Siheng Zhao, Yilun Chen, Sizhe Yang, Peizhou Cao, Wenye Yu, Zichao Ye, Jialun Li, Junfeng Long, ZiRui Wang, Huiling Wang, Ying Zhao, Zhongying Tu, Yu Qiao, Dahua Lin, and Pang Jiangmiao
    arXiv (Under Review) , 2024
    Details
  4. SIGGRAPH
    Physics-based Scene Layout Generation from Human Motion
    Jianan Li, Tao Huang, Qingxu Zhu, and Tien-Tsin Wong
    ACM SIGGRAPH (SIGGRAPH) , 2024
    Details
  5. IROS
    Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
    Tao Huang, Kai Chen, Wang Wei, Jianan Li, Yonghao Long, and Qi Dou
    International Conference on Intelligent Robots and Systems (IROS) , 2023 (Oral)
    Details
  6. ICRA
    Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
    Tao Huang, Kai Chen, Bin Li, Yun-Hui Liu, and Qi Dou
    International Conference on Robotics and Automation (ICRA) , 2023
    Details
  7. RA-L
    Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robot Learning
    Yonghao Long, Wang Wei, Tao Huang, Yuehao Wang, and Qi Dou
    Robotics and Automation Letters (RA-L) , 2023
    Details
  8. ICC
    Learning-Aided Stable Matching for Switch-Controller Association in SDN Systems
    Yinxu Tang, Tao Huang, Xi Huang, Ziyu Shao, and Yang Yang
    International Conference on Communications (ICC) , 2022
    Details