I am second-year PhD student in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (CSE, HKUST). I am fortunate to be supervised by Prof. Song Guo at PEILab. I received my Master’s degree in 2024 from the Harbin Institute of Technology, Shenzhen (HITSZ), and my Bachelor’s degree in 2021 from Wuhan University.

My research interests focus on scaling up robot learning. Previously, I gained some experience in NLP. The long-term goal of my research is to develop a machine that can perceive, reason, and act in the real world like humans.

I am currently developing a generative world model for robot learning, which will enable automatic training and evaluation in a virtual environment.

🔥 News

  • 2025.11: Our paper, WMPO, which explores VLA RL in world model, has been released! 🎉 Everything is open source!
  • 2025.06: Our paper, IRASim is accepted by ICCV 2025!
  • 2024.06: Our paper, IRASim, which explores generative robot world models, has been released! 🎉 Everything is open source!
  • 2023.10: One paper is accepted by EMNLP 2023!🎉
  • 2023.05: One paper is accepted by ACL Findings 2023! 🎉
  • 2022.11: One paper is accepted by AAAI 2023! 🎉

📝 Preprints

Arxiv 2025.11
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WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

Fangqi Zhu, Zhengyang Yan, Zicong Hong, Quanxin Shou, Xiao Ma, Song Guo

[Paper] [Code] [Project Website]

📝 Publications

ICCV 2025
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IRASim: Learning Interactive Real-Robot Action Simulators

Fangqi Zhu, Hongtao Wu, Song Guo, Yuxiao Liu, Chilam Cheang, Tao Kong

ICCV 2025 | [Paper] [Code] [Project Website]

EMNLP 2023
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Learning to Describe for Predicting Zero-shot Drug-Drug Interactions

Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu

EMNLP 2023 (Oral Presentation) | [Paper] [Code]

ACL Findings 2023
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A Diffusion Model for Event Skeleton Generation

Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang

ACL Findings 2023 (Poster) | [Paper] [Code] [Poster]

AAAI 2023
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A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning

Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu

AAAI 2023 (Oral Presentation) | [Paper] [Code] [Poster]

🎖 Honors and Awards

  • 2021.09 First-class Scholarship of Harbin Institute of Technology, Shenzhen

📖 Educations

  • 2021.09 - 2024.01, Master of Engineering in Computer Science and Technology, Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen (HITSZ)
  • 2017.09 - 2021.06, Bachelor of Engineering in Software Engineering, Department of Computer Science, Wuhan University (WHU)

💻 Internships

  • 2025.09 - present, Research Intern, ByteDance, Seed Multimodal, Shenzhen, China

  • 2024.03 - 2025.09, Research Intern, ByteDance, Seed Robotics, Beijing, China

    Mentor: Dr. Tao Kong & Dr. Hongtao Wu & Dr. Hongtao Wu

  • 2023.04 - 2023.12, Research Intern, 4Paradigm, Shenzhen, China

    Mentor: Dr. Yongqi Zhang

  • 2022.09 - 2023.03, Research Intern, International Digital Economy Academy (IDEA), DataStory AI lab, Shenzhen, China

    Mentor: Dr. Haiqin Yang & Dr.Lin Zhang