Yiwen Guo is currently a research scientist at Intel Labs China. He received his PhD degree in 2016 in the Department of Electronic Engineering, Tsinghua University. His current research interests include efficient machine learning, adversarial learning, and unsupervised learning. He has published many papers on top-tier machine learning conferences including NIPS, ICLR, CVPR, etc. and served as a reviewer for prestigious conferences and journals including CVPR, ICCV, NIPS, ICML, TNNLS, Neural Networks, and more.
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