Xinyu Yang is a Senior Research Associate at Lancaster University with nine years of experience in computer vision and deep learning, holding a PhD from the University of Bristol. Their work spans academic research, teaching applied deep learning and image processing, and industry R&D—most notably projects automating sketch colorization and GAN-based face swapping at NetEase. Xinyu has applied computer vision to diverse domains from thermal home-performance assessment to self-supervised video representation, blending practical system-building with theoretical advances. Based in Lancaster, they combine hands-on implementation skills with mentoring experience and a track record of translating research prototypes into applied solutions. An underappreciated strength is their cross-disciplinary background—from electrical engineering through AI—enabling a pragmatic approach to both low-level image problems and high-level representation learning.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Sichuan University
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at The University of Sheffield
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at University of Bristol
Contributions:20 pushes, 1 branch in 2 years 1 month
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