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Shiwei Liu is a Newton International Fellow at the University of Oxford. He obtained his Ph.D. with the Cum Laude (distinguished Ph.D. thesis) from the Eindhoven University of Technology in 2022. His Ph.D. thesis received the 2023 Best Dissertation Runner-up Award from Informatics Europe.  His research interest is to leverage, understand, and expand the role of sparsity in neural networks, whose impacts span many important topics, such as efficient training/inference/transfer of large-foundation models, robustness and trustworthiness, generative AI and graph learning. 


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