Guowei Zou

PhD Student in Computer Science

Sun Yat-Sen University
School of Computer Science and Engineering

Research Area: Embodied Intelligence, World Models, 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.

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, enabling agents to plan and improve behaviors through imagined experience in learned latent spaces.

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.