Hui Zhang

ConGraspXL enables precise and flexible controllability for various individual constraints and their combinations, providing a plug-and-play low-level grasp controller for downstream applications such as whole-body grasp completion, functional grasping, and human-motion imitation.

A safety-oriented collision avoidance vector field with adaptively adjustable reactive boundary is developed to accommodate the kinematic curvature constraints of robots, thereby ensuring the physical feasibility of collision avoidance maneuvers.

UniH3, a novel framework that Unifies Hierarchical Homogeneity and Heterogeneity and Heterogeneity for all-in-one medical image restoration, is proposed and extensive experiments on two large-scale benchmarks demonstrate that UniH3 achieves state-of-the-art performance on both all-in-one and single-task medical image restoration.

Tool-calling and multi-role prompting don't make a visual generation pipeline truly agentic—autonomy fundamentally requires shifting controller authority from prompt formatting to closed-loop visual self-correction and cross-task memory.

Achieving up to 5.35x faster data processing for multimodal AI datasets could revolutionize how researchers handle and access diverse data formats.