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2020 – today
- 2023
[j82]Zhaoliang Chen
, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang:
Learnable graph convolutional network and feature fusion for multi-view learning. Inf. Fusion 95: 109-119 (2023)- [j81]Shiping Wang, Xincan Lin, Yiqing Shi, Xizhao Wang:
Algorithm for orthogonal matrix nearness and its application to feature representation. Inf. Sci. 623: 361-378 (2023) - [j80]Zihan Fang, Shide Du, Xincan Lin, Jinbin Yang, Shiping Wang, Yiqing Shi:
DBO-Net: Differentiable bi-level optimization network for multi-view clustering. Inf. Sci. 626: 572-585 (2023) - [j79]Jianwen Wang, Shiping Wang, Mingwei Lin, Zeshui Xu, Wenzhong Guo:
Learning speaker-independent multimodal representation for sentiment analysis. Inf. Sci. 628: 208-225 (2023) - [j78]Renjie Lin, Yongkun Lin, Zhenghong Lin, Shide Du, Shiping Wang:
CCR-Net: Consistent contrastive representation network for multi-view clustering. Inf. Sci. 637: 118937 (2023) - [j77]Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo:
Consistent graph embedding network with optimal transport for incomplete multi-view clustering. Inf. Sci. 647: 119418 (2023) - [j76]Shiping Wang, Yunhe Zhang, Xincan Lin, Lichao Su, Guobao Xiao, William Zhu, Yiqing Shi:
Learning matrix factorization with scalable distance metric and regularizer. Neural Networks 161: 254-266 (2023) - [j75]Zhoumin Lu, Shiping Wang, Genggeng Liu, Feiping Nie:
Robust weighted co-clustering with global and local discrimination. Pattern Recognit. 138: 109405 (2023) - [j74]Shunxin Xiao, Shiping Wang, Wenzhong Guo:
SGAE: Stacked Graph Autoencoder for Deep Clustering. IEEE Trans. Big Data 9(1): 254-266 (2023) - [j73]Junwen Guo, Guobao Xiao, Zhimin Tang, Shunxing Chen, Shiping Wang, Jiayi Ma:
Learning for Feature Matching via Graph Context Attention. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j72]Zhimin Tang, Guobao Xiao, Junwen Guo, Shiping Wang, Jiayi Ma:
Dual-Attention-Based Feature Aggregation Network for Infrared and Visible Image Fusion. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j71]Shunxin Xiao, Huibin Lin, Conghao Wang, Shiping Wang, Jagath C. Rajapakse:
Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis. IEEE J. Biomed. Health Informatics 27(9): 4591-4600 (2023) - [j70]Zhaoliang Chen, Jie Yao, Guobao Xiao, Shiping Wang:
Efficient and Differentiable Low-Rank Matrix Completion With Back Propagation. IEEE Trans. Multim. 25: 228-242 (2023) - [j69]Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo:
Multi-Channel Augmented Graph Embedding Convolutional Network for Multi-View Clustering. IEEE Trans. Netw. Sci. Eng. 10(4): 2239-2249 (2023) - [j68]Luying Zhong, Jinbin Yang, Zhaoliang Chen, Shiping Wang:
Contrastive Graph Convolutional Networks With Generative Adjacency Matrix. IEEE Trans. Signal Process. 71: 772-785 (2023) - [c27]Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo:
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks. AAAI 2023: 4191-4198 - [c26]Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen:
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework. AAAI 2023: 4693-4701 - [c25]Zihan Fang, Shide Du, Yaqing Chen, Shiping Wang:
DMRL-Net: Differentiable Multi-view Representation Learning Network. ICME 2023: 1505-1510 - [i7]Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen:
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework. CoRR abs/2301.04318 (2023) - [i6]Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo:
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs. CoRR abs/2304.06336 (2023) - [i5]Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, Wenzhong Guo:
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. CoRR abs/2304.07014 (2023) - [i4]Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo:
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. CoRR abs/2308.03666 (2023) - 2022
- [j67]Shiping Wang, Xincan Lin, Zihan Fang, Shide Du, Guobao Xiao:
Contrastive Consensus Graph Learning for Multi-View Clustering. IEEE CAA J. Autom. Sinica 9(11): 2027-2030 (2022) - [j66]Yunhu Huang, Dewang Chen, Wendi Zhao, Yisheng Lv, Shiping Wang:
Deep patch learning algorithms with high interpretability for regression problems. Int. J. Intell. Syst. 37(11): 8239-8276 (2022) - [j65]Chunyan Zhao, Shiping Wang:
Does internet use increase Chinese export enterprises' wage? Int. J. Netw. Virtual Organisations 27(3): 239-250 (2022) - [j64]Zhen Zhong, Guobao Xiao, Shiping Wang, Leyi Wei, Xiaoqin Zhang:
PESA-Net: Permutation-Equivariant Split Attention Network for correspondence learning. Inf. Fusion 77: 81-89 (2022) - [j63]Shiping Wang, Shunxin Xiao, William Zhu, Yingya Guo:
Multi-view fuzzy clustering of deep random walk and sparse low-rank embedding. Inf. Sci. 586: 224-238 (2022) - [j62]Zexi Chen, Pengfei Lin, Zhaoliang Chen, Dongyi Ye, Shiping Wang:
Diversity embedding deep matrix factorization for multi-view clustering. Inf. Sci. 610: 114-125 (2022) - [j61]Rongjun Chen, Xuanhui Yan, Shiping Wang, Guobao Xiao:
DA-Net: Dual-attention network for multivariate time series classification. Inf. Sci. 610: 472-487 (2022) - [j60]Jie Yao, Renjie Lin, Zhenghong Lin, Shiping Wang:
Multi-view clustering with graph regularized optimal transport. Inf. Sci. 612: 563-575 (2022) - [j59]Tianyi Huang, Zhiling Cai, Ruijia Li, Shiping Wang, William Zhu:
Consolidation of structure of high noise data by a new noise index and reinforcement learning. Inf. Sci. 614: 206-222 (2022) - [j58]Zhaoliang Chen, Shiping Wang:
A review on matrix completion for recommender systems. Knowl. Inf. Syst. 64(1): 1-34 (2022) - [j57]Chaoyang Xu, Renjie Lin, Jinyu Cai, Shiping Wang:
Deep image clustering by fusing contrastive learning and neighbor relation mining. Knowl. Based Syst. 238: 107967 (2022) - [j56]Shunxin Xiao, Shiping Wang, Yuanfei Dai, Wenzhong Guo:
Graph neural networks in node classification: survey and evaluation. Mach. Vis. Appl. 33(1): 4 (2022) - [j55]Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin:
Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5042-5055 (2022) - [j54]Jinyu Cai, Shiping Wang, Chaoyang Xu, Wenzhong Guo:
Unsupervised deep clustering via contractive feature representation and focal loss. Pattern Recognit. 123: 108386 (2022) - [j53]Shide Du, Shiping Wang:
An Overview of Correlation-Filter-Based Object Tracking. IEEE Trans. Comput. Soc. Syst. 9(1): 18-31 (2022) - [j52]Shiping Wang, Lele Fu, Zhewen Wang, Haiping Xu, William Zhu:
Multigraph Random Walk for Joint Learning of Multiview Clustering and Semisupervised Classification. IEEE Trans. Comput. Soc. Syst. 9(3): 926-939 (2022) - [j51]Linxin Zheng, Guobao Xiao, Ziwei Shi, Shiping Wang, Jiayi Ma:
MSA-Net: Establishing Reliable Correspondences by Multiscale Attention Network. IEEE Trans. Image Process. 31: 4598-4608 (2022) - [c24]Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang:
Efficient Deep Embedded Subspace Clustering. CVPR 2022: 21-30 - [c23]Sheng Huang, Lele Fu, Yunhe Zhang, Haiping Xu, Shiping Wang:
Multi-View Deep Matrix Factorization with Consensual Solution from Multiple Paths. ICME 2022: 1-6 - [c22]Pengfei Lin, Sheng Huang, Shiping Wang:
Local Geometrical Deep Matrix Factorization for Multi-View Clustering. ITSC 2022: 1088-1093 - [c21]Yongfeng Gu, Yuxuan Zhou, Hao Ding, Fan Jia, Shiping Wang:
Exploring the Impact of Grouping Strategies on Cooperative Co-evolutionary Algorithms for Solving the Advertising Budget Allocation Problem. QRS Companion 2022: 616-620 - [i3]Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang:
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning. CoRR abs/2211.09155 (2022) - [i2]Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo:
Multi-view Graph Convolutional Networks with Differentiable Node Selection. CoRR abs/2212.05124 (2022) - 2021
- [j50]Zhaoliang Chen, Wei Zhao, Shiping Wang:
Kernel meets recommender systems: A multi-kernel interpolation for matrix completion. Expert Syst. Appl. 168: 114436 (2021) - [j49]Jinyu Cai, Shiping Wang, Wenzhong Guo:
Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder. Expert Syst. Appl. 186: 115729 (2021) - [j48]Zhen Zhong, Guobao Xiao, Kun Zeng, Shiping Wang:
TSSN-Net: Two-step Sparse Switchable Normalization for learning correspondences with heavy outliers. Neurocomputing 452: 159-168 (2021) - [j47]Shiping Wang, Zhaoliang Chen, William Zhu, Fei-Yue Wang:
Deep random walk of unitary invariance for large-scale data representation. Inf. Sci. 554: 1-14 (2021) - [j46]Shiping Wang, Zhewen Wang, Wenzhong Guo:
Accelerated manifold embedding for multi-view semi-supervised classification. Inf. Sci. 562: 438-451 (2021) - [j45]Yunhe Zhang, Zhoumin Lu, Shiping Wang:
Unsupervised feature selection via transformed auto-encoder. Knowl. Based Syst. 215: 106748 (2021) - [j44]Shiping Wang, Zhewen Wang, Kart-Leong Lim, Guobao Xiao, Wenzhong Guo:
Seeded random walk for multi-view semi-supervised classification. Knowl. Based Syst. 222: 107016 (2021) - [j43]Guobao Xiao, Shiping Wang, Han Wang, Jiayi Ma:
Mining consistent correspondences using co-occurrence statistics. Pattern Recognit. 119: 108062 (2021) - [j42]Jiawei Chen, William Zhu, Shiping Wang:
A Survey of Social Image Colocalization. IEEE Trans. Comput. Soc. Syst. 8(4): 906-916 (2021) - [j41]Wenzhong Guo, Jiawei Chen, Weipeng Wang, Huan Luo, Shiping Wang:
Three-Dimensional Object Co-Localization From Mobile LiDAR Point Clouds. IEEE Trans. Intell. Transp. Syst. 22(4): 1996-2007 (2021) - [j40]Wenzhong Guo, Yiqing Shi, Shiping Wang:
A Unified Scheme for Distance Metric Learning and Clustering via Rank-Reduced Regression. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 5218-5229 (2021) - [j39]Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, Shiping Wang:
Differentiable Bi-Sparse Multi-View Co-Clustering. IEEE Trans. Signal Process. 69: 4623-4636 (2021) - [c20]Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, Shiping Wang:
Multi-View Learning Via Low-Rank Tensor Optimization. ICME 2021: 1-6 - [c19]Qifan Lin, Zhaoliang Chen, Shiping Wang, Wenzhong Guo:
A Unified Modular Framework with Deep Graph Convolutional Networks forMulti-label Image Recognition. PRCV (2) 2021: 54-65 - [c18]Huibin Lin, Shiping Wang, Zhanghui Liu, Shunxin Xiao, Shide Du, Wenzhong Guo:
FMixAugment for Semi-supervised Learning with Consistency Regularization. PRCV (2) 2021: 127-139 - [c17]Sheng Huang, Yunhe Zhang, Lele Fu, Shiping Wang:
Enhanced Multi-view Matrix Factorization with Shared Representation. PRCV (4) 2021: 276-287 - 2020
- [j38]Wenzhong Guo, Jinyu Cai, Shiping Wang:
Unsupervised discriminative feature representation via adversarial auto-encoder. Appl. Intell. 50(4): 1155-1171 (2020) - [j37]Shiping Wang, Jiawei Chen, Wenzhong Guo, Genggeng Liu:
Structured learning for unsupervised feature selection with high-order matrix factorization. Expert Syst. Appl. 140 (2020) - [j36]Lele Fu, Pengfei Lin, Athanasios V. Vasilakos, Shiping Wang:
An overview of recent multi-view clustering. Neurocomputing 402: 148-161 (2020) - [j35]Yuanfei Dai, Shiping Wang, Xing Chen, Chaoyang Xu, Wenzhong Guo:
Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings. Knowl. Based Syst. 190: 105165 (2020) - [j34]Chaoyang Xu, Yuanfei Dai, Renjie Lin, Shiping Wang:
Social image refinement and annotation via weakly-supervised variational auto-encoder. Knowl. Based Syst. 192: 105259 (2020) - [j33]Zhoumin Lu, Genggeng Liu, Shiping Wang:
Sparse neighbor constrained co-clustering via category consistency learning. Knowl. Based Syst. 201-202: 105987 (2020) - [j32]Chaoyang Xu, Yuanfei Dai, Renjie Lin, Shiping Wang:
Deep clustering by maximizing mutual information in variational auto-encoder. Knowl. Based Syst. 205: 106260 (2020) - [j31]Tianyi Huang, Shiping Wang, William Zhu:
An adaptive kernelized rank-order distance for clustering non-spherical data with high noise. Int. J. Mach. Learn. Cybern. 11(8): 1735-1747 (2020) - [j30]Guobao Xiao, Jiayi Ma, Shiping Wang, Changwen Chen:
Deterministic Model Fitting by Local-Neighbor Preservation and Global-Residual Optimization. IEEE Trans. Image Process. 29: 8988-9001 (2020) - [j29]Wenzhong Guo, Yiqing Shi, Shiping Wang, Neal N. Xiong:
An Unsupervised Embedding Learning Feature Representation Scheme for Network Big Data Analysis. IEEE Trans. Netw. Sci. Eng. 7(1): 115-126 (2020)
2010 – 2019
- 2019
- [j28]Chaoyang Xu, Yuanfei Dai, Renjie Lin, Shiping Wang:
Stacked Autoencoder Based Weak Supervision for Social Image Understanding. IEEE Access 7: 21777-21786 (2019) - [j27]Renjie Lin, Shiping Wang, Wenzhong Guo:
An Overview of Co-Clustering via Matrix Factorization. IEEE Access 7: 33481-33493 (2019) - [j26]Wenzhong Guo, Jianwen Wang, Shiping Wang:
Deep Multimodal Representation Learning: A Survey. IEEE Access 7: 63373-63394 (2019) - [j25]Lichao Su, Huan Luo, Shiping Wang:
A Novel Forgery Detection Algorithm for Video Foreground Removal. IEEE Access 7: 109719-109728 (2019) - [j24]Jianran Liu, Shiping Wang, Wenyuan Yang:
Sparse autoencoder for social image understanding. Neurocomputing 369: 122-133 (2019) - [j23]Shiping Wang, Jinyu Cai, Qihao Lin, Wenzhong Guo:
An Overview of Unsupervised Deep Feature Representation for Text Categorization. IEEE Trans. Comput. Soc. Syst. 6(3): 504-517 (2019) - [c16]Chaoyang Xu, Ling Wu, Shiping Wang:
Unsupervised Dimension Reduction for Image Classification Using Regularized Convolutional Auto-Encoder. CVC (1) 2019: 99-108 - [c15]Jinyu Cai, Shiping Wang, Wenzhong Guo:
Unsupervised deep feature representation using adversarial auto-encoder. ICPS 2019: 749-754 - [c14]Jinyu Cai, Shiping Wang, Wenzhong Guo:
Stacked Sparse Auto-Encoder for Deep Clustering. ISPA/BDCloud/SocialCom/SustainCom 2019: 1532-1538 - [c13]Renjie Lin, Shiping Wang, Wenzhong Guo:
Model transferring for unsupervised object localization. CIS/RAM 2019: 41-46 - [c12]Jiawei Chen, Shiping Wang:
A Saliency-Fusion-Based Framework For Co-localization. CIS/RAM 2019: 362-367 - 2018
- [j22]Shiping Wang, William Zhu:
Sparse Graph Embedding Unsupervised Feature Selection. IEEE Trans. Syst. Man Cybern. Syst. 48(3): 329-341 (2018) - [c11]Wenzhong Guo, Renjie Lin, Shiping Wang, Neal N. Xiong:
Object Proposal Generation for Unsupervised Object Localization. PAAP 2018: 235-242 - 2017
- [j21]Shiping Wang, Handuo Zhang, Han Wang:
Object co-segmentation via weakly supervised data fusion. Comput. Vis. Image Underst. 155: 43-54 (2017) - [j20]Shiping Wang, Aiping Huang:
Penalized nonnegative matrix tri-factorization for co-clustering. Expert Syst. Appl. 78: 64-73 (2017) - [j19]Shiping Wang, Aiping Huang:
Salient object detection with low-rank approximation and ℓ2, 1-norm minimization. Image Vis. Comput. 57: 67-77 (2017) - [j18]Shiping Wang, Han Wang:
Unsupervised feature selection via low-rank approximation and structure learning. Knowl. Based Syst. 124: 70-79 (2017) - [j17]Shiping Wang, Wenzhong Guo:
Robust co-clustering via dual local learning and high-order matrix factorization. Knowl. Based Syst. 138: 176-187 (2017) - [j16]Shiping Wang, Wenzhong Guo:
Sparse Multigraph Embedding for Multimodal Feature Representation. IEEE Trans. Multim. 19(7): 1454-1466 (2017) - [c10]Dongpeng Wu, Duyan Bi, Lin-Yuan He, Shiping Ma, Zun-Lin Fan, Wenshan Ding, Liyang Wu, Shiping Wang, Kun Liu:
A Novel Algorithm of Image Fusion Based on Non-subsampled Shearlet-Contrast Transform. ICIG (2) 2017: 580-589 - 2015
- [j15]Shiping Wang, Witold Pedrycz, Qingxin Zhu, William Zhu:
Unsupervised feature selection via maximum projection and minimum redundancy. Knowl. Based Syst. 75: 19-29 (2015) - [j14]Shiping Wang, Witold Pedrycz, Qingxin Zhu, William Zhu:
Subspace learning for unsupervised feature selection via matrix factorization. Pattern Recognit. 48(1): 10-19 (2015) - 2014
- [j13]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Rough Set Characterization for 2-circuit Matroid. Fundam. Informaticae 129(4): 377-393 (2014) - [j12]Shiping Wang, William Zhu, Qingxin Zhu, Fan Min:
Characteristic matrix of covering and its application to Boolean matrix decomposition. Inf. Sci. 263: 186-197 (2014) - [j11]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Graph and matrix approaches to rough sets through matroids. Inf. Sci. 288: 1-11 (2014) - 2013
- [j10]Shiping Wang, William Zhu, Qingxin Zhu, Fan Min:
Four matroidal structures of covering and their relationships with rough sets. Int. J. Approx. Reason. 54(9): 1361-1372 (2013) - [j9]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Quantitative analysis for covering-based rough sets through the upper approximation number. Inf. Sci. 220: 483-491 (2013) - [j8]William Zhu, Shiping Wang:
Rough matroids based on relations. Inf. Sci. 232: 241-252 (2013) - [j7]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets. J. Appl. Math. 2013: 519173:1-519173:7 (2013) - 2012
- [j6]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Matroidal structure of rough sets and its characterization to attribute reduction. Knowl. Based Syst. 36: 155-161 (2012) - [c9]Shiping Wang, William Zhu, Qingxin Zhu, Fan Min:
Characteristics of 2-circuit matroids through rough sets. GrC 2012: 771-774 - [i1]Shiping Wang, Qingxin Zhu, William Zhu, Fan Min:
Boolean matrix decomposition through covering-based rough sets. CoRR abs/1207.0262 (2012) - 2011
- [j5]Shiping Wang, William Zhu:
Matroidal structure of covering-based rough sets through the upper approximation number. Int. J. Granul. Comput. Rough Sets Intell. Syst. 2(2): 141-148 (2011) - [j4]William Zhu, Shiping Wang:
Matroidal approaches to generalized rough sets based on relations. Int. J. Mach. Learn. Cybern. 2(4): 273-279 (2011) - [c8]Shiping Wang, William Zhu, Fan Min:
The vectorially matroidal structure of generalized rough sets based on relations. GrC 2011: 708-711 - [c7]Shiping Wang, William Zhu, Fan Min:
Reducible matroid and its relationship with covering-based rough sets. GrC 2011: 712-716 - [c6]William Zhu, Shiping Wang:
Rough matroid. GrC 2011: 817-824 - [c5]Shiping Wang, Fan Min, William Zhu:
Covering Numbers in Covering-Based Rough Sets. RSFDGrC 2011: 72-78 - [c4]Shiping Wang, William Zhu, Fan Min:
Transversal and Function Matroidal Structures of Covering-Based Rough Sets. RSKT 2011: 146-155 - [c3]Shiping Wang, William Zhu, Fan Min:
Bipartite Graphs and Coverings. RSKT 2011: 722-727 - 2010
- [j3]Zhijun Li, Yipeng Yang, Shiping Wang:
Adaptive Dynamic Coupling Control of Hybrid Joints of Human-Symbiotic Wheeled Mobile Manipulators with Unmodelled Dynamics. Int. J. Soc. Robotics 2(2): 109-120 (2010) - [c2]Shiping Wang, William Zhu, Peiyong Zhu:
The Covering Upper Approximation by Subcovering. GrC 2010: 791-793 - [c1]Shiping Wang, William Zhu, Peiyong Zhu:
Poset Approaches to Covering-Based Rough Sets. RSKT 2010: 25-29
2000 – 2009
- 2009
- [j2]