Xiaogang Xiong

Privacy-Preserving Federated Semi-Supervised Learning for Industrial Machine Vision: A Real-World Deployment Study With FedSSL-ADIM

This study presents FedSSL-ADIM, a privacy-preserving federated semi-supervised framework for industrial machine vision that addresses data-centralization constraints, high annotation costs, and cross-site heterogeneity. Deployed across three textile factories with 80 robotic systems and edge devices rated at 0.1–1.0 T...

Event-RGB Adaptive Tracking for Nighttime Highway Perception

Given the absence of publicly available datasets tailored for event-based highway perception with diverse environmental conditions, SEHN is presented, a large-scale synthetic dataset generated using the CARLA simulator, providing synchronized RGB imagery and event streams to facilitate multi-modal fusion research.

Null-Space-Projected Actuator-Side Force Modeling for a Closed-Chain Knee Joint Mechanism