default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShiping Wang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j132]Yilin Wu
, Zhaoliang Chen, Ying Zou, Shiping Wang, Wenzhong Guo:
Multi-scale structure-guided graph generation for multi-view semi-supervised classification. Expert Syst. Appl. 263: 125677 (2025)- [j131]Lu Liu, Yongquan Shi, Yueyang Pi, Wenzhong Guo, Shiping Wang:
Efficient multi-view graph convolutional networks via local aggregation and global propagation. Expert Syst. Appl. 266: 126131 (2025) - [j130]Xuzheng Wang, Shiyang Lan, Zhihao Wu, Wenzhong Guo, Shiping Wang:
Multi-view Representation Learning with Decoupled private and shared Propagation. Knowl. Based Syst. 310: 112956 (2025) - [j129]Sujia Huang, Lele Fu, Shide Du, Zhihao Wu, Athanasios V. Vasilakos, Shiping Wang:
Low-rank tensor learning with projection distance metric for multi-view clustering. Int. J. Mach. Learn. Cybern. 16(1): 25-41 (2025) - [j128]Yuhong Chen, Fuhai Chen, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Yanchao Tan, Shiping Wang:
Heterogeneous Graph Embedding with Dual Edge Differentiation. Neural Networks 183: 106965 (2025) - [j127]Yongquan Shi, Yueyang Pi, Zhanghui Liu, Hong Zhao, Shiping Wang:
Information-controlled graph convolutional network for multi-view semi-supervised classification. Neural Networks 184: 107102 (2025) - [j126]Yang Bai, Gaojie Xing, Hongyan Wu, Zhihong Rao, Chuan Ma, Shiping Wang, Xiaolei Liu, Yimin Zhou, Jiajia Tang, Kaijun Huang, Jiale Kang:
Backdoor Attack and Defense on Deep Learning: A Survey. IEEE Trans. Comput. Soc. Syst. 12(1): 404-434 (2025) - [j125]Luying Zhong, Zhaoliang Chen, Zhihao Wu, Shide Du, Zheyi Chen, Shiping Wang:
Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck. IEEE Trans. Neural Networks Learn. Syst. 36(1): 433-446 (2025) - 2024
- [j124]Hanlin Yang, William Zhu, Shiping Wang:
Accuracy and generalization improvement for image quality assessment of authentic distortion by semi-supervised learning. Appl. Intell. 54(21): 10948-10961 (2024) - [j123]Jianwen Wang, Shiping Wang, Shunxin Xiao, Renjie Lin, Mianxiong Dong, Wenzhong Guo:
Conditional selection with CNN augmented transformer for multimodal affective analysis. CAAI Trans. Intell. Technol. 9(4): 917-931 (2024) - [j122]Xiang Xia, Lichao Su, Shiping Wang, Xiao Yan Li:
DMFF-Net: Double-stream multilevel feature fusion network for image forgery localization. Eng. Appl. Artif. Intell. 127(Part A): 107200 (2024) - [j121]Na Song, Shide Du, Zhihao Wu, Luying Zhong, Laurence T. Yang, Jing Yang, Shiping Wang:
GAF-Net: Graph attention fusion network for multi-view semi-supervised classification. Expert Syst. Appl. 238(Part E): 122151 (2024) - [j120]Sujia Huang, Shunxin Xiao, Yuhong Chen, Jinbin Yang, Zhibin Shi, Yanchao Tan, Shiping Wang:
Unified structure-aware feature learning for Graph Convolutional Network. Expert Syst. Appl. 254: 124397 (2024) - [j119]Yang Huang, Yueyang Pi, Yiqing Shi, Wenzhong Guo, Shiping Wang:
Adaptive graph active learning with mutual information via policy learning. Expert Syst. Appl. 255: 124773 (2024) - [j118]Weibin Chen, Zhengyang Cai, Pengfei Lin, Yang Huang, Shide Du, Wenzhong Guo, Shiping Wang:
Multi-view semi-supervised classification via auto-weighted submarkov random walk. Expert Syst. Appl. 256: 124961 (2024) - [j117]Luying Zhong, Jielong Lu, Zhaoliang Chen, Na Song, Shiping Wang:
Adaptive multi-channel contrastive graph convolutional network with graph and feature fusion. Inf. Sci. 658: 120012 (2024) - [j116]Aiping Huang, Jielong Lu, Zhihao Wu, Zhaoliang Chen, Yuhong Chen, Shiping Wang, Hehong Zhang:
Geometric localized graph convolutional network for multi-view semi-supervised classification. Inf. Sci. 677: 120769 (2024) - [j115]Yang Huang, Yiqing Shi, Yueyang Pi, Jinbo Li, Shiping Wang, Wenzhong Guo:
Adaptive-propagating heterophilous graph convolutional network. Knowl. Based Syst. 302: 112389 (2024) - [j114]Min Li, William Zhu, Shiping Wang:
Multi-view reinforcement learning for sequential decision-making with insufficient state information. Int. J. Mach. Learn. Cybern. 15(4): 1533-1552 (2024) - [j113]Shiyang Lan, Zihan Fang, Shide Du, Zhiling Cai, Shiping Wang:
IMPRL-Net: interpretable multi-view proximity representation learning network. Neural Comput. Appl. 36(24): 15027-15044 (2024) - [j112]Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang:
Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network. Neural Networks 169: 496-505 (2024) - [j111]Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo:
Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs. Neural Networks 174: 106225 (2024) - [j110]Shiping Wang, Sujia Huang, Zhihao Wu, Rui Liu, Yong Chen, Dell Zhang:
Heterogeneous graph convolutional network for multi-view semi-supervised classification. Neural Networks 178: 106438 (2024) - [j109]Aiping Huang, Zihan Fang, Zhihao Wu, Yanchao Tan, Peng Han, Shiping Wang, Le Zhang:
Multi-view heterogeneous graph learning with compressed hypergraph neural networks. Neural Networks 179: 106562 (2024) - [j108]Zhiyong Xu, Weibin Chen, Ying Zou, Zihan Fang, Shiping Wang:
Attention-based stackable graph convolutional network for multi-view learning. Neural Networks 180: 106648 (2024) - [j107]Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang:
Graph Convolutional Network with elastic topology. Pattern Recognit. 151: 110364 (2024) - [j106]Jianying Dang, Xiaowu Cai, Longli Pan, Liang Shan, Yu Lu, Yafei Xie, Xupeng Wang, Shiping Wang, Bo Li:
A Novel Reliability-Enhanced Dual Over-Temperature Protection Circuit With Delayed Thermal Restart for Power ICs. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1471-1475 (2024) - [j105]Yuanfei Dai, Bin Zhang, Shiping Wang:
Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 1697-1708 (2024) - [j104]Shiping Wang, Jinbin Yang, Jie Yao, Yang Bai, William Zhu:
An Overview of Advanced Deep Graph Node Clustering. IEEE Trans. Comput. Soc. Syst. 11(1): 1302-1314 (2024) - [j103]Jinbin Yang, Jinyu Cai, Luying Zhong, Yueyang Pi, Shiping Wang:
Deep Masked Graph Node Clustering. IEEE Trans. Comput. Soc. Syst. 11(6): 7257-7270 (2024) - [j102]Shunxin Xiao, Huibin Lin, Jianwen Wang, Xiaolong Qin, Shiping Wang:
Multi-Relation Augmentation for Graph Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3614-3627 (2024) - [j101]Zhepeng Gong, Guobao Xiao, Ziwei Shi, Shiping Wang, Riqing Chen:
PT-Net: Pyramid Transformer Network for Feature Matching Learning. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j100]Shide Du, Zhiling Cai, Zhihao Wu, Yueyang Pi, Shiping Wang:
UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity. IEEE Trans. Image Process. 33: 3399-3412 (2024) - [j99]Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo:
Multi-View Graph Convolutional Networks with Differentiable Node Selection. ACM Trans. Knowl. Discov. Data 18(1): 6:1-6:21 (2024) - [j98]Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang:
Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. IEEE Trans. Multim. 26: 5680-5693 (2024) - [j97]Jinyu Cai, Yunhe Zhang, Shiping Wang, Jicong Fan, Wenzhong Guo:
Wasserstein Embedding Learning for Deep Clustering: A Generative Approach. IEEE Trans. Multim. 26: 7567-7580 (2024) - [j96]Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, Shiping Wang:
Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification. IEEE Trans. Multim. 26: 7987-7999 (2024) - [j95]Zihan Fang, Shide Du, Zhiling Cai, Shiyang Lan, Chunming Wu, Yanchao Tan, Shiping Wang:
Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View. IEEE Trans. Multim. 26: 8889-8901 (2024) - [j94]Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, Wenzhong Guo:
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13764-13776 (2024) - [j93]Jie Lian, Xuzheng Wang, Xincan Lin, Zhihao Wu, Shiping Wang, Wenzhong Guo:
Graph Anomaly Detection via Multi-View Discriminative Awareness Learning. IEEE Trans. Netw. Sci. Eng. 11(6): 6623-6635 (2024) - [j92]Sujia Huang, Shide Du, Lele Fu, Zhihao Wu, Shiping Wang:
Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics. IEEE Trans. Signal Inf. Process. over Networks 10: 584-598 (2024) - [c38]Junwen Guo, Guobao Xiao, Shiping Wang, Jun Yu:
Graph Context Transformation Learning for Progressive Correspondence Pruning. AAAI 2024: 1968-1975 - [c37]Xiangyang Miao, Guobao Xiao, Shiping Wang, Jun Yu:
BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning. AAAI 2024: 4225-4232 - [c36]Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang:
Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. ICDE 2024: 1310-1323 - [c35]Yanchao Tan, Zhenghong Lin, Sujie Pan, Siying Xu, Weiming Liu, Guofang Ma, Shiping Wang:
Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation. ICME 2024: 1-6 - [c34]Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan:
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. IJCAI 2024: 2153-2161 - [c33]Luying Zhong, Renjie Lin, Jiayin Li, Shiping Wang, Zheyi Chen:
Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective. KDD 2024: 4571-4582 - [c32]Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Shiping Wang:
Towards Multi-view Consistent Graph Diffusion. ACM Multimedia 2024: 186-195 - [c31]Zihan Fang, Shide Du, Yuhong Chen, Shiping Wang:
Beyond the Known: Ambiguity-Aware Multi-view Learning. ACM Multimedia 2024: 8518-8526 - [i13]Xiangyang Miao, Guobao Xiao, Shiping Wang, Jun Yu:
BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning. CoRR abs/2401.03459 (2024) - [i12]Yanchao Tan, Hang Lv, Xinyi Huang, Jiawei Zhang, Shiping Wang, Carl Yang:
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining. CoRR abs/2403.04780 (2024) - [i11]Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, Wenzhong Guo:
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. CoRR abs/2403.09171 (2024) - [i10]Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo:
OpenViewer: Openness-Aware Multi-View Learning. CoRR abs/2412.12596 (2024) - [i9]Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu:
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. CoRR abs/2412.12801 (2024) - 2023
- [j91]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) - [j90]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) - [j89]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) - [j88]Jianwen Wang, Shiping Wang, Mingwei Lin, Zeshui Xu, Wenzhong Guo:
Learning speaker-independent multimodal representation for sentiment analysis. Inf. Sci. 628: 208-225 (2023) - [j87]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) - [j86]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) - [j85]Chaoyang Xu, Renjie Lin, Jinyu Cai, Shiping Wang:
Label correction using contrastive prototypical classifier for noisy label learning. Inf. Sci. 649: 119647 (2023) - [j84]Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo:
Multi-view clustering via optimal transport algorithm. Knowl. Based Syst. 279: 110954 (2023) - [j83]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) - [j82]Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wang:
Joint learning of feature and topology for multi-view graph convolutional network. Neural Networks 168: 161-170 (2023) - [j81]Zhoumin Lu, Shiping Wang, Genggeng Liu, Feiping Nie:
Robust weighted co-clustering with global and local discrimination. Pattern Recognit. 138: 109405 (2023) - [j80]Shunxin Xiao, Shiping Wang, Wenzhong Guo:
SGAE: Stacked Graph Autoencoder for Deep Clustering. IEEE Trans. Big Data 9(1): 254-266 (2023) - [j79]Zexi Chen, Yunhe Zhang, Sheng Huang, Yanfang Liu, William Zhu, Shiping Wang:
Multiview Deep Matrix Factorization for Shared Compact Representation. IEEE Trans. Comput. Soc. Syst. 10(5): 2739-2751 (2023) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]Sheng Huang, Yunhe Zhang, Lele Fu, Shiping Wang:
Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss. IEEE Trans. Multim. 25: 3259-3272 (2023) - [j73]Lele Fu, Zhaoliang Chen, Yongyong Chen, Shiping Wang:
Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering. IEEE Trans. Multim. 25: 4972-4985 (2023) - [j72]Zhihao Wu, Xincan Lin, Zhenghong Lin, Zhaoliang Chen, Yang Bai, Shiping Wang:
Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning. IEEE Trans. Multim. 25: 8593-8606 (2023) - [j71]Huibin Lin, Chun-Yang Zhang, Shiping Wang, Wenzhong Guo:
A Probabilistic Contrastive Framework for Semi-Supervised Learning. IEEE Trans. Multim. 25: 8767-8779 (2023) - [j70]Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, Shiping Wang:
Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering. IEEE Trans. Multim. 25: 9203-9215 (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) - [c30]Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo:
Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks. AAAI 2023: 4191-4198 - [c29]Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen:
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework. AAAI 2023: 4693-4701 - [c28]Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse:
Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. BIBM 2023: 1983-1988 - [c27]Zihan Fang, Shide Du, Yaqing Chen, Shiping Wang:
DMRL-Net: Differentiable Multi-view Representation Learning Network. ICME 2023: 1505-1510 - [c26]Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang:
Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. ACM Multimedia 2023: 6234-6242 - [c25]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. ACM Multimedia 2023: 8719-8729 - [i8]Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen:
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework. CoRR abs/2301.04318 (2023) - [i7]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) - [i6]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) - [i5]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) - [i4]Junwen Guo, Guobao Xiao, Shiping Wang, Jun Yu:
Graph Context Transformation Learning for Progressive Correspondence Pruning. CoRR abs/2312.15971 (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, Zunlin 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]Qingbing Zeng, Chengliang Liu, Yubin Miao, Shiping Wang:
Development of a novel system for accurate and continuous measurement of fruit diameter in agriculture and its applications to grapes. J. Electronic Imaging 18(4): 043005 (2009) - 2006
- [j1]Jianwei Zhang, Caishun Li, Changyin Wu, Lizhong Xiong, Guoxing Chen, Qifa Zhang, Shiping Wang:
RMD: a rice mutant database for functional analysis of the rice genome. Nucleic Acids Res. 34(Database-Issue): 745-748 (2006)
Coauthor Index
[j132] [j131] [j130] [j123] [j119] [j118] [j115] [j111] [j99] [j97] [j94] [j93] [c36] [i11] [i10] [j91] [j88] [j86] [j84] [j80] [j71] [j69] [c30] [c25] [i7] [i6] [i5] [j56] [j54] [c24] [i3] [i2] [j49] [j46] [j44] [j41] [j40] [c19] [c18] [j38] [j37] [j35] [j29] [j27] [j26] [j23] [c15] [c14] [c13] [c11] [j17] [j16]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-21 19:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
