Jun Shu, Ph.D. Associate Professor School of Mathematics and Statistics Xi'an Jiaotong University . 束俊，博士. 副教授（特聘研究员），博导. 数学与统计学院. 西安交通大学

IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …

2019年2月20日 · View a PDF of the paper titled Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting, by Jun Shu and 6 other authors

Jun Shu received the B.Sc. degree from Xian Jiaotong University, Xian, China, in 2016, where he is currently pursuing the Ph.D. degree with the School of Mathematics and Statistics. His current research interests include machine learning and small sample learning

Jun Shu currently works at the School of Mathematics and Statistics, Xi'an Jiaotong University. Jun does research in Statistics and Applied Mathematics. Their most recent publication is...

Jun Shu Pronouns: he/himAssociate Professor, Xi'an Jiaotong University. Joined ; December 2019

2025年3月21日 · Jun Shu, Min Cai: A low supply-dependence fully-MOSFET voltage reference for low-voltage and low-power. APCCAS 2008: 662-665

2022年2月11日 · View a PDF of the paper titled CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning, by Jun Shu and 3 other authors View PDF Abstract: Modern deep neural networks can easily overfit to biased training data containing corrupted labels or class imbalance.

Contact: Jun Shu ([email protected]); Deyu Meng([email protected]). About NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

Jun SHU | Cited by 4,653 | of Shanghai Jiao Tong University, Shanghai (SJTU) | Read 170 publications | Contact Jun SHU