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Zhanxing Zhu is an Associate Professor at Vision, Learning and Control Group (VLC), School of Electrical and Computer Science (ECS), ¾ÅÉ«ÊÓƵ, UK. He is closely affiliated with Previously he obtained Ph.D on machine learning from School of Informatics, University of Edinburgh, UK.
He has been focusing on machine learning, particularly, deep learning, broadly covering its theory, methodology and application. Together with his students and collaborators, he attempts to rigorously reveal the underlying mechanism of why deep learning works or not, and inspired by the theoretical understanding and empirical observation, they develop robust, fast and generalizable models and algorithms to boost its applicability in various challenging scenarios and interdisciplinary tasks. He frequently published in top-tiered AI journals and conferences to push the frontier of AI research, such as NeurIPS, COLT, ICML, ICLR, TPAMI, Artificial Intelligence, etc.
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