Jun Shu (束俊)
Jun Shu (束俊)
Ph.D. Candidate, School of Mathematics & Statistics, Xi'an Jiaotong University
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Meta-weight-net: Learning an explicit mapping for sample weighting
J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng
NeurIPS 2019, 2019
Small sample learning in big data era
J Shu, Z Xu, D Meng
arXiv preprint arXiv:1808.04572, 2018
Variational label enhancement
N Xu, J Shu, YP Liu, X Geng
International Conference on Machine Learning, 10597-10606, 2020
Learning to Purify Noisy Labels via Meta Soft Label Corrector
Y Wu, J Shu, Q Xie, Q Zhao, D Meng
AAAI 2021, 2020
Multi-view based integrative analysis of gene expression data for identifying biomarkers
ZY Yang, XY Liu, J Shu, H Zhang, YQ Ren, ZB Xu, Y Liang
Scientific reports 9 (1), 13504, 2019
Learning adaptive loss for robust learning with noisy labels
J Shu, Q Zhao, K Chen, Z Xu, D Meng
arXiv preprint arXiv:2002.06482, 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels
J Shu, Q Zhao, Z Xu, D Meng
arXiv preprint arXiv:2006.05697, 2020
Meta self-paced learning
SHU Jun, M Deyu, XU Zongben
Scientia Sinica Informationis 50 (6), 781-793, 2020
Meta feature modulator for long-tailed recognition
R Wang, K Hu, Y Zhu, J Shu, Q Zhao, D Meng
arXiv preprint arXiv:2008.03428, 2020
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks
J Shu, Y Zhu, Q Zhao, D Meng, Z Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
SLNL: a novel method for gene selection and phenotype classification
HH Huang, NQ Wu, Y Liang, XD Peng, J Shu
International Journal of Intelligent Systems 37 (9), 6283-6304, 2022
Learning an explicit hyperparameter prediction policy conditioned on tasks
J Shu, D Meng, Z Xu
arXiv preprint arXiv:2107.02378, 2021
CMW-Net: learning a class-aware sample weighting mapping for robust deep learning
J Shu, X Yuan, D Meng, Z Xu
arXiv preprint arXiv:2202.05613, 2022
A probabilistic formulation for meta-weight-net
Q Zhao, J Shu, X Yuan, Z Liu, D Meng
IEEE Transactions on Neural Networks and Learning Systems, 2021
Multinetwork collaborative feature learning for semisupervised person reidentification
S Zhou, J Wang, J Shu, D Meng, L Wang, N Zheng
IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4826-4839, 2021
束俊, 孟德宇, 徐宗本
SCIENCE CHINA Information Sciences 61, 052204, 2020
Diagnosing Batch Normalization in Class Incremental Learning
M Zhou, Q Wang, J Shu, Q Zhao, D Meng
arXiv preprint arXiv:2202.08025, 2022
Meta-BN Net for few-shot learning
W Gao, M Shao, J Shu, X Zhuang
Frontiers of Computer Science 17 (1), 171302, 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness
K Ding, J Shu, D Meng, Z Xu
arXiv preprint arXiv:2301.07306, 2023
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction
Z Yang, J Shu, Y Liang, D Meng, Z Xu
arXiv preprint arXiv:2009.00792, 2020
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