Assoc. Prof. Lei Huang
Beihang University, China
Whitening in Deep Representation Learning
Lei Huang is currently an associate professor in Institute of Artificial Intelligence of Beihang University, China. He received his BSc and PhD degrees in 2010 and 2018 respectively, at the School of Computer Science and Engineering, Beihang University. From 2015 to 2016, he visited the Vision and Learning Lab, the University of Michigan, Ann Arbor, USA. During 2018 to 2020, he was a research scientist in Inception Institute of Artificial Intelligence (IIAI), UAE. His research interests include machine learning and computers vision. Specifically, he has been working on designing efficient modules and optimization algorithms for deep neural networks with better optimization efficiency and generalization ability. He has published 40+ papers in top-tier journals/conferences, including IEEE TPAMI, NeurIPS, ICML, CVPR, ICCV, ECCV, etc. He authorized one book named “Normalization techniques in deep learning”, published in Synthesis Lectures on Computer Vision (SLCV) series of Springer Nature.
He served/ is serving as a chair of CVPR tutorial and reviewer for the top journals and conferences such as TPAMI, JMLR, IJCV, CVPR, ICCV, ECCV, NeurIPS, AAAI, etc. He got the best paper Nomination of CVPR 2020.