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Yiwen Xu

Yiwen Xu is currently a PhD candidate at the School of Computer Science and Engineering at the University of New South Wales (UNSW) Sydney. His research is primarily focused on model compression, encompassing areas such as knowledge distillation and model quantization. Within this domain, Yiwen possesses insights into optimizing the efficiency and performance of deep learning models. Through his research, he aspires to provide enhanced and efficient support for AI applications in resource-constrained environments. In addition to his academic pursuits, Yiwen actively engages in scholarly exchanges, collaborating with experts in both industry and academia to explore cutting-edge techniques and applications in model compression.


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