About Me
Hi! I’m a first-year CS Ph.D. student at the University of Central Florida, advised by Dr. Yuzhang Shang and Dr. Chen Chen. Before that, I received my master’s degree from Johns Hopkins University.
My research centers on world model, embodied AI, and reinforcement learning.
In research, I like to ride the wave: I’m willing to step out of my comfort zone for directions and methods I believe are right. Beyond that, I care most about work that brings real-world value.
🤝 Open to collaborations, and GPU support is always appreciated.
🤖 Seeking a robotics research internship for Summer 2027.
Feel free to reach out!
Selected Publications
For a full list of publications, please refer to this page.
AgenticRoboRL: Bringing Coding-Agent Post-Training to Agentic Robotics
Xinxin Liu, Bingxin Xu, Wenrui Bao, Ming Li, Wentao Bao, Chen Chen, Yuzhang Shang
arXiv preprint, 2026
The first general post-training framework for agentic robotics systems.
Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning Benchmark
Xinxin Liu, Zhaopan Xu, Ming Li, Kai Wang, Yong Jae Lee, Yuzhang Shang
arXiv preprint, 2025
The first benchmark for evaluating reasoning in video generation models.
Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization
Xinxin Liu, Ming Li, Zonglin Lyu, Yuzhang Shang, Chen Chen
International Conference on Learning Representations (ICLR), 2026
Uses the diffusion model itself as the reward model, with no architecture changes.