Guowei Zou
PhD Student in Computer Science
Sun Yat-Sen University
School of Computer Science and Engineering
Research Area: Embodied Intelligence, Reinforcement Learning, Robotics Control
Biography
I am currently a PhD student at Sun Yat-Sen University, School of Computer Science and Engineering, specializing in Embodied Intelligence with a focus on Reinforcement Learning and Generative Models for Robotics Control. Previously, I worked as a Hardware Engineer at Huawei Technologies Co., Ltd. and during my Master's degree at Sun Yat-Sen University (State Key Laboratory of Optoelectronic Materials and Technologies), I was mainly dedicated to the application of artificial intelligence in 3D display and VR/AR technologies.
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 reasoning, adaptation, and real-time decision-making in the physical world.
I believe artificial intelligence is not merely a tool, but a revolutionary force that will profoundly reshape every aspect of human society. I am convinced that the era of AI for everything is fast approaching. AI will not only transform how we live, but also how we understand ourselves: the process of creating intelligence is, in essence, the process of rediscovering humanity. The age of human–AI coevolution is coming.
Publications
Recent News
[February 7, 2026] Blog: From Carbon to Silicon: The Civilizational Transition in the Age of AI. [English] [Chinese]
[January 28, 2026] One Step Is Enough: Dispersive MeanFlow Policy Optimization (DMPO). Guowei Zou, Haitao Wang, Hejun Wu, Yukun Qian, Yuhang Wang, Weibing Li. [Project Page] [Code] [arXiv]
[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]
[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]
For a complete list of publications, please visit my Google Scholar profile.
Blog
[December 31, 2025] From Imitation to Exploration to World Models. [English] [Chinese]
[December 4, 2025] Smart but Lacking Judgment: What Today's AI Is Still Missing. [English] [Chinese]
[November 8, 2025] Imitation and Transcendence: Reflections on Life Through Robot Learning. [English] [Chinese]
[November 6, 2025] Not Just Learning the World, But Creating It: The Ultimate Goal of AI. [English] [Chinese]
Patents
Z. Qin, G. Zou, et al. Adaptive Refresh Rate Field Sequential Color Display. ZL2022103803143 (Granted, 2025)
Z. Qin, G. Zou, et al. Deep Learning-based Control for Field Sequential Display. ZL2021107930745 (Granted, 2023)
Z. Qin, W. Yang, Y. Cheng, G. Zou, et al. High-resolution Light Field Display Method. ZL2021108736155 (Granted, 2022)
Education & Work Experience
2024 - Present: Sun Yat-Sen University, PhD Student in Computer Science and Technology. Supervisor: Prof. Hejun Wu
2023 - 2024: Huawei Technologies Co., Ltd., Hardware Engineer, Consumer BG - Display & Touch Division
2020 - 2023: Sun Yat-Sen University, Master of Engineering in Electronic Science and Technology. Supervisor: Assoc. Prof. Zong Qin
2016 - 2020: China Agricultural University, Bachelor of Engineering in Electronic Information Engineering
Internship Experience
2022 - 2023: China Star Optoelectronics Technology Co., Ltd. (CSOT), Field Sequential Color Display. Hardware implementation of field sequential color display systems for advanced display technologies.
2021 - 2023: Huawei Technologies Co., Ltd., Virtual Reality AR-HUD Project. AI-based image quality enhancement for Picture Generation Unit in AR Head-Up Display systems.
2021 - 2023: Vivo Mobile Communication Co., Ltd., Under-Display Camera/Sensor Project. Under-screen sensor modeling and deep learning-based signal enhancement for full-screen mobile phones.
2019 - 2020: Tridium Inc. (Honeywell), Smart Building IoT Project. Worked on an IoT-based smart building management system focusing on control and automation; gained practical experience in intelligent building integration and obtained an IoT Engineer Certification (APAC).
2019 - 2020: Wlkata Robotics, Robotic Arm Control Algorithms. Advanced control algorithms for robotic arm systems, focusing on precision control and trajectory planning.
Conference Presentations
2022: SID Display Week, California, USA - Oral Presentation. Society for Information Display Display Week.
2022: ICDT, Fuzhou, China - Oral Presentation. International Conference on Display Technology.
2022: IDMC, Taipei, China - Poster Presentation. International Display Manufacturing Conference.
2021: PGWS, Hong Kong, China - Oral Presentation. Cross-Strait Postgraduate Workshop on Display Technology (Best Paper Award).
Honors & Awards
2021: PGWS conference, Hong Kong, Best Paper Award
2020: Beijing Excellent Undergraduate Thesis, Beijing Municipal Government (0.9%, 27/3000)
2020: Excellent Undergraduate Thesis, China Agricultural University (3.3%, 100/3000)