Summary
Yancong is an Assistant Professor and researcher with eight years of experience at the intersection of computer vision, generative models, and autonomous-systems perception. He completed a PhD at TU Delft and has held research positions at Delft, ETH Zürich, and now the University of Nottingham, with a track record of publications and prizes including a CVPR and ICRA presence and a first-place win in the Argoverse2 Scene Flow challenge. His work spans scalable perception for highly automated vehicles, generative LiDAR models, and practical 3D reconstruction for industrial inspection, demonstrating both theoretical depth and applied impact. He has secured competitive funding (e.g., NGF AiNed XS Europa) and delivered demonstrators such as automated valet parking with vulnerability-aware perception. Based in Beijing and with roots in top Chinese engineering programs, he combines cross-cultural collaborations with hands-on research engineering. An underappreciated thread in his profile is a dual interest in binary program analysis and deep learning, hinting at a broader curiosity across software and algorithmic systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Photoelectric Signal Processing, Bachelor's degree, Photoelectric Signal Processing at Southwest Jiaotong University
Master's degree, Electrical, Electronics and Communications Engineering, National Scholarship, Master's degree, Electrical, Electronics and Communications Engineering, National Scholarship at Tianjin University
TU Delft
English, Chinese, Dutch