Summary
Xu Jia is a Full Professor at Dalian University of Technology with 11 years of experience specializing in computer vision and deep learning, particularly low-level vision tasks like super-resolution, denoising, demosaicking, and deblurring. His research agenda spans image generation and learning methods—domain adaptation, unsupervised/semi-supervised and continual learning—applied to dense pixel prediction problems. Prior roles include senior researcher and technical lead at Huawei Noah’s Ark Lab and researcher positions at SenseTime and KU Leuven, reflecting a blend of academic rigor and industrial research impact. Trained with a PhD in Computer Vision from KU Leuven and roots in electrical engineering, he brings both theoretical depth and practical systems experience. Notably, he has transitioned from international research environments back to lead academia in China, indicating a commitment to building local research capacity and mentoring the next generation.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Vision, Doctor of Philosophy (PhD), Computer Vision at KU Leuven
Master, Computer Vision, Master, Computer Vision at Dalian University of Technology