Zibin Dong

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

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation

EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation

Don't Guess the Future, Find the Bottleneck: Spectral Subgoals for Offline Goal-Conditioned RL

Conditioning Matters: Training Diffusion Policies is Faster Than You Think

MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning

COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space

Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions

R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models