Shiping Wang

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William ZhuMinjiang Chair Professor of Computer Science, Minnan Normal UniversityAdresse e-mail validée de mnnu.edu.cn
Zhaoliang ChenPostdoc, Hong Kong Baptist UniversityAdresse e-mail validée de hkbu.edu.hk
Shide DuFuzhou UniversityAdresse e-mail validée de fzu.edu.cn
Fan Min (闵帆)Professor of School of Computer Science, Southwest Petroleum UniversityAdresse e-mail validée de swpu.edu.cn
Lele FuSun Yat-sen UniversityAdresse e-mail validée de mail2.sysu.edu.cn
Jinyu CaiPostdoc, National University of SingaporeAdresse e-mail validée de nus.edu.sg
Guobao XiaoTongji UniversityAdresse e-mail validée de tongji.edu.cn
William Zhu (祝峰)University of Electronic Science and Technology of ChinaAdresse e-mail validée de uestc.edu.cn
Shunxin Xiao（肖顺鑫）Xiamen University of TechnologyAdresse e-mail validée de xmut.edu.cn
Witold PedryczAdresse e-mail validée de ualberta.ca
Jiayi MaWuhan UniversityAdresse e-mail validée de whu.edu.cn
Sheng HuangSun Yat-Sen UniversityAdresse e-mail validée de mail2.sysu.edu.cn
Han WANGAssociate Professor, Nanyang Technological UniversityAdresse e-mail validée de ntu.edu.sg
Distinguished Prof. Athanasios Vasilak...UiA,Norway, IAU,sa, Member of the European Academy of Sciences and ArtsAdresse e-mail validée de uia.no
Genggeng LiuFuzhou University, Associate Professor and Doctoral SupervisorAdresse e-mail validée de fzu.edu.cn
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung ResearchAdresse e-mail validée de pku.edu.cn
Kart-Leong LimNanyang Technological UniversityAdresse e-mail validée de e.ntu.edu.sg
Chang Wen ChenChair Professor of Visual Computing, The Hong Kong Polytechnic UniversityAdresse e-mail validée de polyu.edu.hk
Naixue Xiong, Neal Xiong, Neal N. Xio...Colorado Technical University, Northeastern State UniversityAdresse e-mail validée de nsuok.edu
Wei ZhaoPostdoc in ACE, City University of Hong KongAdresse e-mail validée de cityu.edu.hk

Suivre

Shiping Wang

Autres noms王石平

Fuzhou University

Adresse e-mail validée de fzu.edu.cn - Page d'accueil

machine learning explainable deep learning multi-view learning graph neural network


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Deep multimodal representation learning: A survey W Guo, J Wang, S Wang Ieee Access 7, 63373-63394, 2019	540	2019
A survey on knowledge graph embedding: Approaches, applications and benchmarks Y Dai, S Wang, NN Xiong, W Guo Electronics 9 (5), 750, 2020	308	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	181	2015
An overview of recent multi-view clustering L Fu, P Lin, AV Vasilakos, S Wang Neurocomputing 402, 148-161, 2020	176	2020
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	160	2022
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	117	2022
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	106	2021
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	104	2023
Sparse graph embedding unsupervised feature selection S Wang, W Zhu IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (3), 329-341, 2016	102	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	93	2011
Unsupervised feature selection via maximum projection and minimum redundancy S Wang, W Pedrycz, Q Zhu, W Zhu Knowledge-Based Systems 75, 19-29, 2015	92	2015
Sparse multigraph embedding for multimodal feature representation S Wang, W Guo IEEE Transactions on Multimedia 19 (7), 1454-1466, 2017	81	2017
Unsupervised feature selection via low-rank approximation and structure learning S Wang, H Wang Knowledge-Based Systems 124, 70-79, 2017	71	2017
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	71	2012
Rough matroids based on relations W Zhu, S Wang Information Sciences 232, 241-252, 2013	70	2013
Interpretable graph convolutional network for multi-view semi-supervised learning Z Wu, X Lin, Z Lin, Z Chen, Y Bai, S Wang IEEE Transactions on Multimedia 25, 8593-8606, 2023	68	2023
Unsupervised deep clustering via contractive feature representation and focal loss J Cai, S Wang, C Xu, W Guo Pattern Recognition 123, 108386, 2022	66	2022
Robust co-clustering via dual local learning and high-order matrix factorization S Wang, W Guo Knowledge-Based Systems 138, 176-187, 2017	66	2017
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	63	2019
DA-Net: Dual-attention network for multivariate time series classification R Chen, X Yan, S Wang, G Xiao Information Sciences 610, 472-487, 2022	61	2022

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