Shiping Wang
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Deep multimodal representation learning: A survey
W Guo, J Wang, S Wang
Ieee Access 7, 63373-63394, 2019
A survey on knowledge graph embedding: Approaches, applications and benchmarks
Y Dai, S Wang, NN Xiong, W Guo
Electronics 9 (5), 750, 2020
Subspace learning for unsupervised feature selection via matrix factorization
S Wang, W Pedrycz, Q Zhu, W Zhu
Pattern Recognition 48 (1), 10-19, 2015
An overview of recent multi-view clustering
L Fu, P Lin, AV Vasilakos, S Wang
Neurocomputing 402, 148-161, 2020
Sparse graph embedding unsupervised feature selection
S Wang, W Zhu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (3), 329-341, 2016
Matroidal approaches to generalized rough sets based on relations
W Zhu, S Wang
International Journal of Machine Learning and Cybernetics 2, 273-279, 2011
Graph neural networks in node classification: survey and evaluation
S Xiao, S Wang, Y Dai, W Guo
Machine Vision and Applications 33 (1), 4, 2022
Sparse multigraph embedding for multimodal feature representation
S Wang, W Guo
IEEE Transactions on Multimedia 19 (7), 1454-1466, 2017
Unsupervised feature selection via maximum projection and minimum redundancy
S Wang, W Pedrycz, Q Zhu, W Zhu
Knowledge-Based Systems 75, 19-29, 2015
Learning deep sparse regularizers with applications to multi-view clustering and semi-supervised classification
S Wang, Z Chen, S Du, Z Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5042-5055, 2021
Rough matroids based on relations
W Zhu, S Wang
Information Sciences 232, 241-252, 2013
Matroidal structure of rough sets and its characterization to attribute reduction
S Wang, Q Zhu, W Zhu, F Min
Knowledge-Based Systems 36, 155-161, 2012
Efficient deep embedded subspace clustering
J Cai, J Fan, W Guo, S Wang, Y Zhang, Z Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Unsupervised feature selection via low-rank approximation and structure learning
S Wang, H Wang
Knowledge-Based Systems 124, 70-79, 2017
Robust co-clustering via dual local learning and high-order matrix factorization
S Wang, W Guo
Knowledge-Based Systems 138, 176-187, 2017
Quantitative analysis for covering-based rough sets through the upper approximation number
S Wang, Q Zhu, W Zhu, F Min
Information Sciences 220, 483-491, 2013
Matroidal structure of covering-based rough sets through the upper approximation number
S Wang, W Zhu
International Journal of Granular Computing, Rough Sets and Intelligent …, 2011
An overview of unsupervised deep feature representation for text categorization
S Wang, J Cai, Q Lin, W Guo
IEEE Transactions on Computational Social Systems 6 (3), 504-517, 2019
Learnable graph convolutional network and feature fusion for multi-view learning
Z Chen, L Fu, J Yao, W Guo, C Plant, S Wang
Information Fusion 95, 109-119, 2023
Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings
Y Dai, S Wang, X Chen, C Xu, W Guo
Knowledge-Based Systems 190, 105165, 2020
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