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
[November 8, 2025] New Blog Post: Imitation and Transcendence: Reflections on Life Through Robot Learning. [English] [Chinese]
[November 6, 2025] New Blog Post: Not Just Learning the World, But Creating It: The Ultimate Goal of AI. [English] [Chinese]
[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.
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)