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Guangqi Jiang

| Email | G Scholar |
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Hi there! I am a second-year MSCS student at UC San Diego, working with Prof. Xiaolong Wang.

Previously, I was a research intern at Shanghai Qi Zhi Institute, fortunate to work with Prof. Huazhe Xu at Tsinghua University from June 2023 to October 2024. I received my Bachelor's degree in Software Engineering at Sichuan University, collaborating with Prof. Yan Wang.

My research interests lie in the intersection of Computer Vision, Reinforcement Learning, and Robotics. I am passionate about integrating Visual intelligence into Robots. Feel free to reach out via email if you are interested into my research :)


  News

  Publications

GSWorld: Closed-Loop Photo-Realistic Simulation Suite for Robotic Manipulation
Guangqi Jiang*, Haoran Chang*, Ri-Zhao Qiu, Yutong Liang, Mazeyu Ji, Jiyue Zhu, Zhao Dong, Xueyan Zou, and Xiaolong Wang
In submission, 2025

webpage | arXiv | code | paper | assets | twitter/x | bibtex
 
          
@article{jiang2025gsworld,
title={GSWorld: Closed-Loop Photo-Realistic 
  Simulation Suite for Robotic Manipulation},
author={Jiang, Guangqi and Chang, Haoran and 
  Qiu, Ri-Zhao and Liang, Yutong and Ji, 
  Mazeyu and Zhu, Jiyue and Dong, 
  Zhao and Zou, Xueyan and Wang, Xiaolong},
  journal={arXiv preprint arXiv:2510.20813},
year={2025}
}
        
mcr

Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets
Guangqi Jiang*, Yifei Sun*, Tao Huang*, Huanyu Li, Yongyuan Liang, and Huazhe Xu
International Conference on Learning Representations (ICLR), 2025

webpage | arXiv | code | paper | dataset & models | twitter/x | bibtex
 
          
@article{jiang2024robots,
  title={Robots Pre-Train Robots: 
    Manipulation-Centric Robotic Representation 
    from Large-Scale Robot Dataset},
  author={Jiang, Guangqi and Sun, Yifei and
      Huang, Tao and Li, Huanyu and
      Liang, Yongyuan and Xu, Huazhe},
  journal={arXiv preprint arXiv:2410.22325},
  year={2024}
}
        
make-an-agent

Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, and Huazhe Xu
Conference on Neural Information Processing Systems (NeurIPS), 2024

webpage | arXiv | code | paper | models & dataset | twitter/x | bibtex
 
          
@article{liang2024make,
  title={Make-An-Agent: A Generalizable
     Policy Network Generator 
     with Behavior-Prompted Diffusion},
  author={Liang, Yongyuan and Xu, Tingqiang and 
    Hu, Kaizhe and Jiang, Guangqi and 
    Huang, Furong and Xu, Huazhe},
  journal={arXiv preprint arXiv:2407.10973},
  year={2024}
  }
        
make-an-agent

RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment
Guoping Pan*, Qingwei Ben*, Zhecheng Yuan, Guangqi Jiang, Shoujie Li Yandong Ji, Jiangmiao Pang, Houde Liu, and Huazhe Xu
IEEE Robotics and Automation Letters (RA-L), 2025
Intl. Conference on Intelligent Robots and Systems (IROS), 2025

webpage | arXiv | code | paper | bibtex
 
          
@article{pan2025roboduet,
  title={RoboDuet: Learning a Cooperative Policy 
    for Whole-body Legged Loco-Manipulation},
  author={Pan, Guoping and Ben, Qingwei and 
    Yuan, Zhecheng and Jiang, Guangqi and 
    Ji, Yandong and Li, Shoujie 
    and Pang, Jiangmiao and Liu, Houde 
    and Xu, Huazhe},
  journal={IEEE Robotics and Automation Letters},
  year={2025},
  publisher={IEEE}
}
        

Diffusion Reward: Learning Rewards via Conditional Video Diffusion
Tao Huang*, Guangqi Jiang*, Yanjie Ze, and Huazhe Xu
European Conference on Computer Vision (ECCV), 2024

webpage | arXiv | code | paper | bibtex
 
          
@article{Huang2023DiffusionReward,
  title={Diffusion Reward:
      Learning Rewards via 
      Conditional Video Diffusion},
  author={Tao Huang and Guangqi Jiang 
      and Yanjie Ze and Huazhe Xu},
  journal={arxiv}, 
  year={2023},
}
        

  Reviewer Services
  • RSS (2025).
  • CoRL (2025).
  • ICLR (2026).


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