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Guowei-Zou/README.md

Guowei Zou (邹国伟)

📧 zougw2025@gmail.com
📧 zougw@mail2.sysu.edu.cn

Homepage Google Scholar X LinkedIn CV

About Me

I am a third-year PhD student at Sun Yat-Sen University, School of Computer Science and Engineering. Currently, I am a visiting student at the School of Computing, National University of Singapore. Previously, I worked as a Hardware Engineer at Huawei Technologies Co., Ltd. Before that, I received my Master's degree from Sun Yat-Sen University (State Key Laboratory of Optoelectronic Materials and Technologies).

Research Interests

My research lies at the intersection of artificial intelligence and robotics, where I explore how generative modeling and reinforcement learning can be unified to create embodied agents capable of real-time decision-making in the physical world. Currently, I am particularly focused on World Models and RL-based policy optimization within world models.

Research Areas: Artificial Intelligence, Embodied AI, World Models, Vision-Language-Action (VLA) Model, and Multi-Agent Systems.

Papers

Co-π-tree Figure 1 [June 7, 2026] Co-π-tree: Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration (The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026)).
Beiwen Zhang, Yongheng Liang, Guowei Zou, Haitao Wang, Hejun Wu.
Project Page | Paper | Videos
CoFlow overview [May 2, 2026] CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making.
Guowei Zou, Haitao Wang, Beiwen Zhang, Boning Zhang, Hejun Wu.
Project Page | Code | arXiv
DMPO overview [January 28, 2026] One Step Is Enough: Dispersive MeanFlow Policy Optimization (DMPO) (The 34th ACM International Conference on Multimedia (ACM MM 2026)).
Guowei Zou, Haitao Wang, Hejun Wu, Yukun Qian, Yuhang Wang, Weibing Li.
Project Page | Code | arXiv
DM1 overview [October 9, 2025] DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation.
Guowei Zou, Haitao Wang, Hejun Wu, Yukun Qian, Yuhang Wang, Weibing Li.
Project Page | Code | arXiv
D2PPO overview [August 4, 2025] D2PPO: Diffusion Policy Policy Optimization with Dispersive Loss (Accepted to AAAI 2026).
Guowei Zou, Weibing Li, Hejun Wu, Yukun Qian, Yuhang Wang, Haitao Wang.
Project Page | Code | arXiv

Education & Experience

  • NUS Visiting Student | National University of Singapore | 2026 - Present
  • SYSU PhD in Computer Science and Technology | Sun Yat-Sen University | 2024 - Present
  • Huawei Hardware Engineer | Huawei Technologies Co., Ltd., Consumer BG - Display & Touch Division | 2023 - 2024
  • SYSU Master in Electronic Science and Technology | Sun Yat-Sen University | 2020 - 2023
  • CAU Bachelor in Electronic Information Engineering | China Agricultural University | 2016 - 2020

Pinned Loading

  1. d2ppo-release d2ppo-release Public

    [AAAI 2026] D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss.

    Python 44 5

  2. simple_mappo simple_mappo Public

    用于教学的RL算法仓库,里面放置各种算法的最简单实现,目的是快速理解某个算法

    Python 67 4

  3. dm1-release dm1-release Public

    Python 22 2

  4. dmpo-release dmpo-release Public

    DMPO: Diffusion Model Policy Optimization

    Python 65 9

  5. coflow-release coflow-release Public

    Project Page: https://guowei-zou.github.io/coflow/

    Python 80 8