Mr. Junyin Wang | Autonomous | Research Excellence Award

Mr. Junyin Wang is a researcher in intelligent transportation and computer vision, affiliated with Wuhan University of Technology, China. His work focuses on 3D perception for autonomous driving, with particular expertise in bird’s-eye-view (BEV) representation learning, camera–radar fusion, and knowledge distillation techniques for robust 3D object detection. He has authored 21 peer-reviewed publications, accumulating 40 citations with an h-index of 4, reflecting steady scholarly impact at an early career stage. Notable contributions include advanced dual-distillation and hybrid encoding frameworks published in leading venues such as Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems. Wang has engaged in broad international and interdisciplinary collaboration, working with over 40 co-authors, indicating strong integration within the global research community. His research addresses critical challenges in perception reliability and sensor fusion, contributing to safer, more efficient intelligent transportation systems and supporting the societal transition toward autonomous and smart mobility solutions.