Runwei Guan

Jiangsu Industry Technology Research Institute, South China University of Technology

Papers

Total Citations

H-Index

About

Runwei Guan is an emerging researcher working at the intersection of autonomous systems, intelligent perception, and robotics. His work spans two compelling frontiers: multimodal sensor fusion for autonomous vehicles and real-time tracking for aerial robots. Guan's most notable contribution, "Talk2Radar" (2025), represents a pioneering effort to bridge natural language processing with 4D millimeter-wave radar technology for 3D referring expression comprehension — a significant step toward enabling vehicles and robots to interpret and respond to human language commands using non-visual sensing modalities. This work addresses a critical gap in embodied perception research, which has historically been dominated by camera-based approaches. Complementing this, his research on Dynamic Compact Consensus Tracking tackles the practical challenge of computationally efficient object tracking for aerial robots, proposing lightweight solutions suitable for real-time deployment. Though early in his career with a growing citation profile — accumulating 7 citations across recent publications — Guan's research agenda reflects a sophisticated understanding of the engineering constraints facing next-generation autonomous systems. His interdisciplinary approach, combining radar sensing, natural language understanding, and aerial robotics, positions him as a researcher to watch in the intelligent systems community.