Yaojin Lin
Yaojin Lin
Minnan Normal University
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A fitting model for feature selection with fuzzy rough sets
C Wang, Y Qi, M Shao, Q Hu, D Chen, Y Qian, Y Lin
IEEE Transactions on Fuzzy Systems 25 (4), 741-753, 2016
Multi-label feature selection based on max-dependency and min-redundancy
Y Lin, Q Hu, J Liu, J Duan
Neurocomputing 168, 92-103, 2015
Multi-label feature selection based on neighborhood mutual information
Y Lin, Q Hu, J Liu, J Chen, J Duan
Applied Soft Computing 38, 244-256, 2016
Streaming feature selection for multilabel learning based on fuzzy mutual information
Y Lin, Q Hu, J Liu, J Li, X Wu
IEEE Transactions on Fuzzy Systems 25 (6), 1491-1507, 2017
Attribute reduction for multi-label learning with fuzzy rough set
Y Lin, Y Li, C Wang, J Chen
Knowledge-based systems 152, 51-61, 2018
An effective collaborative filtering algorithm based on user preference clustering
J Zhang, Y Lin, M Lin, J Liu
Applied Intelligence 45, 230-240, 2016
Feature selection via neighborhood multi-granulation fusion
Y Lin, J Li, P Lin, G Lin, J Chen
Knowledge-Based Systems 67, 162-168, 2014
Online multi-label streaming feature selection based on neighborhood rough set
J Liu, Y Lin, Y Li, W Weng, S Wu
Pattern Recognition 84, 273-287, 2018
Multi-label learning with label-specific features by resolving label correlations
J Zhang, C Li, D Cao, Y Lin, S Su, L Dai, S Li
Knowledge-Based Systems 159, 148-157, 2018
Learning to generalize unseen domains via memory-based multi-source meta-learning for person re-identification
Y Zhao, Z Zhong, F Yang, Z Luo, Y Lin, S Li, N Sebe
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Feature selection based on quality of information
J Liu, Y Lin, M Lin, S Wu, J Zhang
Neurocomputing 225, 11-22, 2017
Multi-label learning based on label-specific features and local pairwise label correlation
W Weng, Y Lin, S Wu, Y Li, Y Kang
Neurocomputing 273, 385-394, 2018
Multi-label feature selection with streaming labels
Y Lin, Q Hu, J Zhang, X Wu
Information Sciences 372, 256-275, 2016
Joint noise-tolerant learning and meta camera shift adaptation for unsupervised person re-identification
F Yang, Z Zhong, Z Luo, Y Cai, Y Lin, S Li, N Sebe
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification
L Sun, T Wang, W Ding, J Xu, Y Lin
Information Sciences 578, 887-912, 2021
Relations of reduction between covering generalized rough sets and concept lattices
J Chen, J Li, Y Lin, G Lin, Z Ma
Information sciences 304, 16-27, 2015
Matrix-based set approximations and reductions in covering decision information systems
A Tan, J Li, Y Lin, G Lin
International Journal of Approximate Reasoning 59, 68-80, 2015
Feature selection for multi-label learning based on kernelized fuzzy rough sets
Y Li, Y Lin, J Liu, W Weng, Z Shi, S Wu
Neurocomputing 318, 271-286, 2018
A graph approach for fuzzy-rough feature selection
J Chen, J Mi, Y Lin
Fuzzy Sets and Systems 391, 96-116, 2020
A fast attribute reduction method for large formal decision contexts
J Chen, J Mi, B Xie, Y Lin
International journal of approximate reasoning 106, 1-17, 2019
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