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...

SHU Jun, M Deyu, XU Zongben. Scientia Sinica Informationis 50 (6), 781-793, 2020. 16 * 2020: Learning an explicit hyperparameter prediction function conditioned on tasks. J Shu, D Meng, Z Xu. Journal of Machine Learning Research, 2023. 15: 2023: Multinetwork collaborative feature learning for semisupervised person reidentification.

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.

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

Aug 14, 2018 · Semantic Scholar profile for Jun Shu, with 21 highly influential citations and 53 scientific research papers.

ORCID record for Jun Shu. ORCID provides an identifier for individuals to use with their name as they engage in research, scholarship, and innovation activities.

Jun Shu (Member, IEEE) was born in 1994. He received the B.S. degree in information science and engineering from Southeast University, Nanjing, China, in 2016, and the Ph.D. degree in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2022.

The implementation of meta-regularization proposed in our SLeM theory paper "Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks". Jun Shu, Deyu Meng, and Zongben Xu. Arxiv Vervision

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

In this study, we achieve such learning methodology by learning an explicit hyper-parameter prediction function shared by all training tasks, and we call this learning process as Simulating Learning Methodology (SLeM).