Jun Shu (束俊)
机构: School of Mathematics & Statistics, Xi'an Jiaotong University
每年引用次数
引用次数
引用: 1,262
H-指数: 11
I10-指数 : 14
出版物: 27
Small Sample Learning in Big Data Era.
Deyu Meng , Zongben Xu , Jun Shu
arXiv: Learning
72
2018
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
Sanping Zhou , Deyu Meng , Qian Zhao , Qi Xie
arXiv: Learning
483
2019
Variational Label Enhancement
Xin Geng , Ning Xu , Jun Shu , Yun-Peng Liu
international conference on machine learning 1 10597 -10606
2
2020
Learning to Purify Noisy Labels via Meta Soft Label Corrector.
Deyu Meng , Qian Zhao , Qi Xie , Jun Shu
arXiv: Computer Vision and Pattern Recognition
28
2020
Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification.
Sanping Zhou , Jinjun Wang , Le Wang , Nanning Zheng
IEEE Transactions on Neural Networks
2021
Multi-view based integrative analysis of gene expression data for identifying biomarkers.
Zi-Yi Yang , Xiao-Ying Liu , Jun Shu , Hui Zhang
Scientific Reports 9 ( 1) 13504
5
2019
SLNL: a novel method for gene selection and phenotype classification
HaiHui Huang , NaiQi Wu , Yong Liang , XinDong Peng
International Journal of Intelligent Systems 37 ( 9) 6283 -6304
4
2022
Meta-BN Net for few-shot learning
Wei Gao , Mingwen Shao , Jun Shu , Xinkai Zhuang
Frontiers of Computer Science 17 ( 1) 171302
1
2023
Improve noise tolerance of robust loss via noise-awareness
Kehui Ding , Jun Shu , Deyu Meng , Zongben Xu
arXiv preprint arXiv:2301.07306
2023
A Hyper-weight Network for Hyperspectral Image Denoising
Xiangyu Rui , Xiangyong Cao , Jun Shu , Qian Zhao
arXiv preprint arXiv:2301.06081
2022
Diagnosing batch normalization in class incremental learning
Minghao Zhou , Quanziang Wang , Jun Shu , Qian Zhao
arXiv preprint arXiv:2202.08025
2
2022
Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?
Chenqiang Gao , Chuandong Liu , Jun Shu , Fangcen Liu
arXiv preprint arXiv:2403.02818
2024
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
Yongheng Sun , Fan Wang , Jun Shu , Haifeng Wang
2023 IEEE/CVF International Conference on Computer Vision (ICCV) 21061 -21071
2023
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
Yongheng Sun , Fan Wang , Jun Shu , Haifeng Wang
Proceedings of the IEEE/CVF International Conference on Computer Vision 21118 -21128
2023
Meta transition adaptation for robust deep learning with noisy labels
Jun Shu , Qian Zhao , Zongben Xu , Deyu Meng
arXiv preprint arXiv:2006.05697
32
2020
Cmw-net: Learning a class-aware sample weighting mapping for robust deep learning
Jun Shu , Xiang Yuan , Deyu Meng , Zongben Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence
27
2023
Learning adaptive loss for robust learning with noisy labels
Jun Shu , Qian Zhao , Keyu Chen , Zongben Xu
arXiv preprint arXiv:2002.06482
22
2020
Mlr-snet: Transferable lr schedules for heterogeneous tasks
Jun Shu , Yanwen Zhu , Qian Zhao , Deyu Meng
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 ( 3) 3505 -3521
11
2022
Meta feature modulator for long-tailed recognition
Renzhen Wang , Kaiqin Hu , Yanwen Zhu , Jun Shu
arXiv preprint arXiv:2008.03428
10
2020
A probabilistic formulation for meta-weight-net
Qian Zhao , Jun Shu , Xiang Yuan , Ziming Liu
IEEE Transactions on Neural Networks and Learning Systems 34 ( 3) 1194 -1208
8
2021