Gang Yu

Tencent (China), Shanghai Jiao Tong University

Papers

Total Citations

H-Index

About

Gang Yu is a researcher whose work bridges computer vision, robotics, and artificial intelligence, with a focus on real-time perception and human-machine interaction. His most impactful contribution is the development of the Multiply Spatial Fusion Network (MSFNet) for real-time semantic segmentation, a critical technology for autonomous driving and robotics. This 2019 paper, with 45 citations, addresses the challenge of balancing computational efficiency and accuracy, enabling systems to understand visual scenes in real time—a key step toward safer, more responsive autonomous vehicles. Yu’s research also extends to human motion generation, as seen in his 2024 work "MotionChain," which introduces conversational motion controllers using multimodal prompts, allowing intuitive control of animated characters through language and gestures. Earlier, he explored self-repairing mechanisms for modular robotics, contributing to resilient robotic systems. With a portfolio spanning high-impact vision models to interactive AI, Yu’s work demonstrates a commitment to making intelligent systems both faster and more adaptable, directly influencing applications from autonomous navigation to human-robot collaboration.