Shiping Wang 个人学术档案 - 学术资源搜索

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William ZhuMinjiang Chair Professor of Computer Science, Minnan Normal University在 mnnu.edu.cn 的电子邮件经过验证
Zhaoliang ChenFuzhou University在 fzu.edu.cn 的电子邮件经过验证
Shide DuFuzhou University在 fzu.edu.cn 的电子邮件经过验证
Fan Min (闵帆)Professor of School of Computer Science, Southwest Petroleum University在 swpu.edu.cn 的电子邮件经过验证
Lele FuSun Yat-sen University在 mail2.sysu.edu.cn 的电子邮件经过验证
William Zhu (祝峰)University of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
Guobao XiaoTongji University在 tongji.edu.cn 的电子邮件经过验证
Jinyu CaiPostdoc, Institute of Data Science, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
Shunxin Xiao（肖顺鑫）Ph.D. Student, College of Computer and Data Science, Fuzhou University在 fzu.edu.cn 的电子邮件经过验证
Witold Pedrycz在 ualberta.ca 的电子邮件经过验证
Sheng HuangSun Yat-Sen University在 mail2.sysu.edu.cn 的电子邮件经过验证
Jiayi MaWuhan University在 whu.edu.cn 的电子邮件经过验证
Han WANGAssociate Professor, Nanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
Distinguished Prof. Athanasios Vasilak...UiA,norway在 uia.no 的电子邮件经过验证
Genggeng LiuFuzhou University, Associate Professor and Doctoral Supervisor在 fzu.edu.cn 的电子邮件经过验证
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung Research在 pku.edu.cn 的电子邮件经过验证
Kart-Leong LimNanyang Technological University在 e.ntu.edu.sg 的电子邮件经过验证
Naixue Xiong, Neal Xiong, Neal N. Xio...Colorado Technical University, Northeastern State University在 nsuok.edu 的电子邮件经过验证
Chang Wen ChenChair Professor of Visual Computing, The Hong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证
Wei ZhaoPostdoc in ACE, City University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证

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Shiping Wang

其他姓名王石平

Fuzhou University

在 fzu.edu.cn 的电子邮件经过验证 - 首页

machine learning deep learning sparse representation kernel learning granular computing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Deep multimodal representation learning: A survey W Guo, J Wang, S Wang Ieee Access 7, 63373-63394, 2019	429	2019
A survey on knowledge graph embedding: Approaches, applications and benchmarks Y Dai, S Wang, NN Xiong, W Guo Electronics 9 (5), 750, 2020	239	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	162	2015
An overview of recent multi-view clustering L Fu, P Lin, AV Vasilakos, S Wang Neurocomputing 402, 148-161, 2020	140	2020
Sparse graph embedding unsupervised feature selection S Wang, W Zhu IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (3), 329-341, 2016	95	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
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	92	2022
Sparse multigraph embedding for multimodal feature representation S Wang, W Guo IEEE Transactions on Multimedia 19 (7), 1454-1466, 2017	80	2017
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	78	2022
Unsupervised feature selection via maximum projection and minimum redundancy S Wang, W Pedrycz, Q Zhu, W Zhu Knowledge-Based Systems 75, 19-29, 2015	78	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	77	2021
Rough matroids based on relations W Zhu, S Wang Information Sciences 232, 241-252, 2013	69	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	68	2012
Unsupervised feature selection via low-rank approximation and structure learning S Wang, H Wang Knowledge-Based Systems 124, 70-79, 2017	66	2017
Robust co-clustering via dual local learning and high-order matrix factorization S Wang, W Guo Knowledge-Based Systems 138, 176-187, 2017	65	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	59	2013
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	58	2023
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	58	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	57	2019
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	51	2020

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