Hang Zhao

FASTer: Toward Powerful and Efficient Autoregressive Vision–Language–Action Models with Learnable Action Tokenizer and Block-wise Decoding

Scalable and Generalizable Autonomous Driving Scene Synthesis

Intrinsic Entropy of Context Length Scaling in LLMs

DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking

Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving

Learning Personalized Driving Styles via Reinforcement Learning from Human Feedback

OccVLA: Vision-Language-Action Model with Implicit 3D Occupancy Supervision

Conditioning Matters: Training Diffusion Policies is Faster Than You Think