UniT: Unified Geometry Learning with Group Autoregressive Transformer
arXiv preprint arXiv:2605.21131
Xinhu Zheng 郑心湖
Assistant Professor
The Hong Kong University of Science and Technology (Guangzhou)
Intelligent Transportation · Internet of Things
I am an Assistant Professor at The Hong Kong University of Science and Technology (Guangzhou), affiliated with the Intelligent Transportation and Internet of Things thrusts. I received my Ph.D. in Electrical and Computer Engineering from the University of Minnesota, Twin Cities, in 2022.
My work lies at the intersection of multimodal learning and embodied intelligence. I study how agents interpret their surroundings, anticipate intent and motion, and make decisions, with applications in autonomous driving, aerial systems and robotics.
I lead OMEGA Lab, where we study omnimodal, multi-embodiment generalist agents.
Research interests
- Multimodal perception
- Learning useful representations of objects and scenes from visual, geometric and other sensory information.
- World models & behavior
- Modeling physical dynamics, intent and motion to understand how environments and other agents may change.
- Autonomous systems & agents
- Connecting reasoning, planning and action in autonomous driving, aerial systems, robotics and digital workflows.
For projects, research opportunities and our team, visit OMEGA Lab.
Selected publications
All publications →Potential-Guided Flow Matching for Vision-Language-Action Policy Improvement
arXiv preprint arXiv:2606.04968
PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models
arXiv preprint arXiv:2606.06014
P³Nav: End-to-End Perception, Prediction and Planning for Vision-and-Language Navigation
arXiv preprint arXiv:2603.17459
Does Visual Information Play a Decisive Role in Vision-Language-Action Model Driving Behavior?
arXiv preprint arXiv:2605.31041
Energy-Aware Wind-Resilient Routing for Truck-Assisted Multi-UAV Delivery under Wind Uncertainty
arXiv preprint arXiv:2608.11641
Teaching
Artificial Intelligence in Transportation
2026-27 Fall · 2025-26 Fall
The Principle and Application of Intelligent Connected Vehicle
2025-26 Spring
Data Structure and Algorithm Design
2025-26 Spring
Academic service
Associate Editor, IEEE Transactions on Intelligent Vehicles.
Education
2022
Ph.D., Electrical and Computer Engineering
University of Minnesota, Twin Cities
Contact
For academic enquiries and research collaboration:
xinhuzheng@hkust-gz.edu.cn
Office W2 L5 509
The Hong Kong University of Science and Technology (Guangzhou)
Prospective students: see opportunities and application guidance.