Cong Li

GiPL proposes a novel two-branch framework combining iterative pseudo-label self-training and generative data augmentation to significantly improve Cross-Domain Few-Shot Object Detection by better utilizing limited support set data and reducing overfitting.

This survey examines explainable AI (XAI) in wireless PHY layers, formalizing goals, taxonomy, and applications.

The paper proposes CODA, an algorithm-hardware co-designed architecture for deploying Video Diffusion Models on edge devices, achieving up to 1.80x speedup and 1.74x energy efficiency.

This paper presents a robot-agnostic compliant-control framework with standardized interfaces for ROS control ecosystem, enabling reusable infrastructure for various manipulators and diverse compliant-control formulations.

This paper introduces the asymmetric origami bending (AOB) pattern and asymmetric dual-chamber (ADC) design for creating a soft robotic hand called OSOR, which achieves bio-inspired motions and simplified manufacturing.