Top expert inDeep Learning and Model Optimization Techniques
Xialei Liu is an associate professor and computer vision researcher with a decade of experience spanning academia and industry, currently based at Nankai University in Tianjin. Trained with a PhD from Universitat Autònoma de Barcelona and doctoral supervisors Joost van de Weijer and Andrew Bagdanov, his work centers on deep neural networks, lifelong and self-supervised learning, metric learning, and GANs. He has research experience at the Computer Vision Center and a research post at the University of Edinburgh, plus an applied scientist internship at AWS, bridging theoretical advances with practical application. Xialei’s portfolio includes niche areas like image quality assessment, crowd counting, network distillation, and active learning, indicating a strong focus on robust, data-efficient vision systems. Known for combining multi-institutional training across China and Europe, he brings both rigorous theoretical grounding and hands-on experimentation to emerging ML problems.
10 years of coding experience
2 years of employment as a software developer
PhD degree, Computer Science, PhD degree, Computer Science at Universitat Autònoma de Barcelona
Master's degree, Control theory and control engineering, Master's degree, Control theory and control engineering at Northwestern Polytechnical University
Contributions:14 commits, 12 pushes, 1 branch in 11 months
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