Shiping Wang

According to our database, Shiping Wang authored at least 164 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Multi-scale structure-guided graph generation for multi-view semi-supervised classification.

Yilin Wu, Zhaoliang Chen, Ying Zou, Shiping Wang, Wenzhong Guo

Expert Syst. Appl., 2025

2024

Accuracy and generalization improvement for image quality assessment of authentic distortion by semi-supervised learning.

Hanlin Yang, William Zhu, Shiping Wang

Appl. Intell., November, 2024

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing.

Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, Shiping Wang, Claudia Plant, Wenzhong Guo

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Multi-Relation Augmentation for Graph Neural Networks.

Shunxin Xiao, Huibin Lin, Jianwen Wang, Xiaolong Qin, Shiping Wang

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

IMPRL-Net: interpretable multi-view proximity representation learning network.

Shiyang Lan, Zihan Fang, Shide Du, Zhiling Cai, Shiping Wang

Neural Comput. Appl., August, 2024

Multi-view reinforcement learning for sequential decision-making with insufficient state information.

Min Li, William Zhu, Shiping Wang

Int. J. Mach. Learn. Cybern., April, 2024

A Novel Reliability-Enhanced Dual Over-Temperature Protection Circuit With Delayed Thermal Restart for Power ICs.

Jianying Dang, Xiaowu Cai, Longli Pan, Liang Shan, Yu Lu, Yafei Xie, Xupeng Wang, Shiping Wang, Bo Li

IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

GAF-Net: Graph attention fusion network for multi-view semi-supervised classification.

Na Song, Shide Du, Zhihao Wu, Luying Zhong, Laurence T. Yang, Jing Yang, Shiping Wang

Expert Syst. Appl., March, 2024

An Overview of Advanced Deep Graph Node Clustering.

Shiping Wang, Jinbin Yang, Jie Yao, Yang Bai, William Zhu

IEEE Trans. Comput. Soc. Syst., February, 2024

Adaptive multi-channel contrastive graph convolutional network with graph and feature fusion.

Luying Zhong, Jielong Lu, Zhaoliang Chen, Na Song, Shiping Wang

Inf. Sci., February, 2024

Multi-View Graph Convolutional Networks with Differentiable Node Selection.

Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo

ACM Trans. Knowl. Discov. Data, January, 2024

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network.

Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang

Neural Networks, January, 2024

DMFF-Net: Double-stream multilevel feature fusion network for image forgery localization.

Xiang Xia, Lichao Su, Shiping Wang, Xiao Yan Li

Eng. Appl. Artif. Intell., January, 2024

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics.

Sujia Huang, Shide Du, Lele Fu, Zhihao Wu, Shiping Wang

IEEE Trans. Signal Inf. Process. over Networks, 2024

Graph Anomaly Detection via Multi-View Discriminative Awareness Learning.

Jie Lian, Xuzheng Wang, Xincan Lin, Zhihao Wu, Shiping Wang, Wenzhong Guo

IEEE Trans. Netw. Sci. Eng., 2024

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification.

Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, Shiping Wang

IEEE Trans. Multim., 2024

Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization.

Zhenghong Lin, Qishan Yan, Weiming Liu, Shiping Wang, Menghan Wang, Yanchao Tan, Carl Yang

IEEE Trans. Multim., 2024

Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View.

Zihan Fang, Shide Du, Zhiling Cai, Shiyang Lan, Chunming Wu, Yanchao Tan, Shiping Wang

IEEE Trans. Multim., 2024

Wasserstein Embedding Learning for Deep Clustering: A Generative Approach.

Jinyu Cai, Yunhe Zhang, Shiping Wang, Jicong Fan, Wenzhong Guo

IEEE Trans. Multim., 2024

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity.

Shide Du, Zhiling Cai, Zhihao Wu, Yueyang Pi, Shiping Wang

IEEE Trans. Image Process., 2024

PT-Net: Pyramid Transformer Network for Feature Matching Learning.

Zhepeng Gong, Guobao Xiao, Ziwei Shi, Shiping Wang, Riqing Chen

IEEE Trans. Instrum. Meas., 2024

Graph Convolutional Network with elastic topology.

Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang

Pattern Recognit., 2024

Attention-based stackable graph convolutional network for multi-view learning.

Zhiyong Xu, Weibin Chen, Ying Zou, Zihan Fang, Shiping Wang

Neural Networks, 2024

Heterogeneous graph convolutional network for multi-view semi-supervised classification.

Shiping Wang, Sujia Huang, Zhihao Wu, Rui Liu, Yong Chen, Dell Zhang

Neural Networks, 2024

Multi-view heterogeneous graph learning with compressed hypergraph neural networks.

Aiping Huang, Zihan Fang, Zhihao Wu, Yanchao Tan, Peng Han, Shiping Wang, Le Zhang

Neural Networks, 2024

Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs.

Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo

Neural Networks, 2024

Adaptive-propagating heterophilous graph convolutional network.

Yang Huang, Yiqing Shi, Yueyang Pi, Jinbo Li, Shiping Wang, Wenzhong Guo

Knowl. Based Syst., 2024

Geometric localized graph convolutional network for multi-view semi-supervised classification.

Aiping Huang, Jielong Lu, Zhihao Wu, Zhaoliang Chen, Yuhong Chen, Shiping Wang, Hehong Zhang

Inf. Sci., 2024

Unified structure-aware feature learning for Graph Convolutional Network.

Sujia Huang, Shunxin Xiao, Yuhong Chen, Jinbin Yang, Zhibin Shi, Yanchao Tan, Shiping Wang

Expert Syst. Appl., 2024

Adaptive graph active learning with mutual information via policy learning.

Yang Huang, Yueyang Pi, Yiqing Shi, Wenzhong Guo, Shiping Wang

Expert Syst. Appl., 2024

Multi-view semi-supervised classification via auto-weighted submarkov random walk.

Weibin Chen, Zhengyang Cai, Pengfei Lin, Yang Huang, Shide Du, Wenzhong Guo, Shiping Wang

Expert Syst. Appl., 2024

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks.

Zhaoliang Chen, Zhihao Wu, Ylli Sadikaj, Claudia Plant, Hong-Ning Dai, Shiping Wang, Wenzhong Guo

CoRR, 2024

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining.

Yanchao Tan, Hang Lv, Xinyi Huang, Jiawei Zhang, Shiping Wang, Carl Yang

CoRR, 2024

Conditional selection with CNN augmented transformer for multimodal affective analysis.

Jianwen Wang, Shiping Wang, Shunxin Xiao, Renjie Lin, Mianxiong Dong, Wenzhong Guo

CAAI Trans. Intell. Technol., 2024

Towards Multi-view Consistent Graph Diffusion.

Jielong Lu, Zhihao Wu, Zhaoliang Chen, Zhiling Cai, Shiping Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Beyond the Known: Ambiguity-Aware Multi-view Learning.

Zihan Fang, Shide Du, Yuhong Chen, Shiping Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective.

Luying Zhong, Renjie Lin, Jiayin Li, Shiping Wang, Zheyi Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning.

Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation.

Yanchao Tan, Zhenghong Lin, Sujie Pan, Siying Xu, Weiming Liu, Guofang Ma, Shiping Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation.

Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning.

Xiangyang Miao, Guobao Xiao, Shiping Wang, Jun Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Graph Context Transformation Learning for Progressive Correspondence Pruning.

Junwen Guo, Guobao Xiao, Shiping Wang, Jun Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Joint learning of feature and topology for multi-view graph convolutional network.

Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wang

Neural Networks, November, 2023

Multi-view clustering via optimal transport algorithm.

Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo

Knowl. Based Syst., November, 2023

Label correction using contrastive prototypical classifier for noisy label learning.

Chaoyang Xu, Renjie Lin, Jinyu Cai, Shiping Wang

Inf. Sci., November, 2023

Consistent graph embedding network with optimal transport for incomplete multi-view clustering.

Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo

Inf. Sci., November, 2023

Multiview Deep Matrix Factorization for Shared Compact Representation.

Zexi Chen, Yunhe Zhang, Sheng Huang, Yanfang Liu, William Zhu, Shiping Wang

IEEE Trans. Comput. Soc. Syst., October, 2023

Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis.

Shunxin Xiao, Huibin Lin, Conghao Wang, Shiping Wang, Jagath C. Rajapakse

IEEE J. Biomed. Health Informatics, September, 2023

CCR-Net: Consistent contrastive representation network for multi-view clustering.

Renjie Lin, Yongkun Lin, Zhenghong Lin, Shide Du, Shiping Wang

Inf. Sci., August, 2023

Learnable graph convolutional network and feature fusion for multi-view learning.

Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang

Inf. Fusion, July, 2023

Robust weighted co-clustering with global and local discrimination.

Zhoumin Lu, Shiping Wang, Genggeng Liu, Feiping Nie

Pattern Recognit., June, 2023

Learning speaker-independent multimodal representation for sentiment analysis.

Jianwen Wang, Shiping Wang, Mingwei Lin, Zeshui Xu, Wenzhong Guo

Inf. Sci., May, 2023

DBO-Net: Differentiable bi-level optimization network for multi-view clustering.

Zihan Fang, Shide Du, Xincan Lin, Jinbin Yang, Shiping Wang, Yiqing Shi

Inf. Sci., May, 2023

Learning matrix factorization with scalable distance metric and regularizer.

Shiping Wang, Yunhe Zhang, Xincan Lin, Lichao Su, Guobao Xiao, William Zhu, Yiqing Shi

Neural Networks, April, 2023

Algorithm for orthogonal matrix nearness and its application to feature representation.

Shiping Wang, Xincan Lin, Yiqing Shi, Xizhao Wang

Inf. Sci., April, 2023

SGAE: Stacked Graph Autoencoder for Deep Clustering.

Shunxin Xiao, Shiping Wang, Wenzhong Guo

IEEE Trans. Big Data, February, 2023

Contrastive Graph Convolutional Networks With Generative Adjacency Matrix.

Luying Zhong, Jinbin Yang, Zhaoliang Chen, Shiping Wang

IEEE Trans. Signal Process., 2023

Multi-Channel Augmented Graph Embedding Convolutional Network for Multi-View Clustering.

Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo

IEEE Trans. Netw. Sci. Eng., 2023

Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering.

Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, Shiping Wang

IEEE Trans. Multim., 2023

Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning.

Zhihao Wu, Xincan Lin, Zhenghong Lin, Zhaoliang Chen, Yang Bai, Shiping Wang

IEEE Trans. Multim., 2023

A Probabilistic Contrastive Framework for Semi-Supervised Learning.

Huibin Lin, Chun-Yang Zhang, Shiping Wang, Wenzhong Guo

IEEE Trans. Multim., 2023

Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss.

Sheng Huang, Yunhe Zhang, Lele Fu, Shiping Wang

IEEE Trans. Multim., 2023

Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering.

Lele Fu, Zhaoliang Chen, Yongyong Chen, Shiping Wang

IEEE Trans. Multim., 2023

Efficient and Differentiable Low-Rank Matrix Completion With Back Propagation.

Zhaoliang Chen, Jie Yao, Guobao Xiao, Shiping Wang

IEEE Trans. Multim., 2023

Dual-Attention-Based Feature Aggregation Network for Infrared and Visible Image Fusion.

Zhimin Tang, Guobao Xiao, Junwen Guo, Shiping Wang, Jiayi Ma

IEEE Trans. Instrum. Meas., 2023

Learning for Feature Matching via Graph Context Attention.

Junwen Guo, Guobao Xiao, Zhimin Tang, Shunxing Chen, Shiping Wang, Jiayi Ma

IEEE Trans. Geosci. Remote. Sens., 2023

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation.

Zhenghong Lin, Yanchao Tan, Yunfei Zhan, Weiming Liu, Fan Wang, Chaochao Chen, Shiping Wang, Carl Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness.

Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DMRL-Net: Differentiable Multi-view Representation Learning Network.

Zihan Fang, Shide Du, Yaqing Chen, Shiping Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification.

Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework.

Shiping Wang, Zhihao Wu, Yuhong Chen, Yong Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks.

Zhaoliang Chen, Zhihao Wu, Shiping Wang, Wenzhong Guo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MSA-Net: Establishing Reliable Correspondences by Multiscale Attention Network.

Linxin Zheng, Guobao Xiao, Ziwei Shi, Shiping Wang, Jiayi Ma

IEEE Trans. Image Process., 2022

Multigraph Random Walk for Joint Learning of Multiview Clustering and Semisupervised Classification.

Shiping Wang, Lele Fu, Zhewen Wang, Haiping Xu, William Zhu

IEEE Trans. Comput. Soc. Syst., 2022

An Overview of Correlation-Filter-Based Object Tracking.

Shide Du, Shiping Wang

IEEE Trans. Comput. Soc. Syst., 2022

Unsupervised deep clustering via contractive feature representation and focal loss.

Jinyu Cai, Shiping Wang, Chaoyang Xu, Wenzhong Guo

Pattern Recognit., 2022

Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification.

Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Graph neural networks in node classification: survey and evaluation.

Shunxin Xiao, Shiping Wang, Yuanfei Dai, Wenzhong Guo

Mach. Vis. Appl., 2022

Deep image clustering by fusing contrastive learning and neighbor relation mining.

Chaoyang Xu, Renjie Lin, Jinyu Cai, Shiping Wang

Knowl. Based Syst., 2022

A review on matrix completion for recommender systems.

Zhaoliang Chen, Shiping Wang

Knowl. Inf. Syst., 2022

Multi-view clustering with graph regularized optimal transport.

Jie Yao, Renjie Lin, Zhenghong Lin, Shiping Wang

Inf. Sci., 2022

Multi-view fuzzy clustering of deep random walk and sparse low-rank embedding.

Shiping Wang, Shunxin Xiao, William Zhu, Yingya Guo

Inf. Sci., 2022

Consolidation of structure of high noise data by a new noise index and reinforcement learning.

Tianyi Huang, Zhiling Cai, Ruijia Li, Shiping Wang, William Zhu

Inf. Sci., 2022

DA-Net: Dual-attention network for multivariate time series classification.

Rongjun Chen, Xuanhui Yan, Shiping Wang, Guobao Xiao

Inf. Sci., 2022

Diversity embedding deep matrix factorization for multi-view clustering.

Zexi Chen, Pengfei Lin, Zhaoliang Chen, Dongyi Ye, Shiping Wang

Inf. Sci., 2022

PESA-Net: Permutation-Equivariant Split Attention Network for correspondence learning.

Zhen Zhong, Guobao Xiao, Shiping Wang, Leyi Wei, Xiaoqin Zhang

Inf. Fusion, 2022

Does internet use increase Chinese export enterprises' wage?

Chunyan Zhao, Shiping Wang

Int. J. Netw. Virtual Organisations, 2022

Deep patch learning algorithms with high interpretability for regression problems.

Yunhu Huang, Dewang Chen, Wendi Zhao, Yisheng Lv, Shiping Wang

Int. J. Intell. Syst., 2022

Contrastive Consensus Graph Learning for Multi-View Clustering.

Shiping Wang, Xincan Lin, Zihan Fang, Shide Du, Guobao Xiao

IEEE CAA J. Autom. Sinica, 2022

Exploring the Impact of Grouping Strategies on Cooperative Co-evolutionary Algorithms for Solving the Advertising Budget Allocation Problem.

Yongfeng Gu, Yuxuan Zhou, Hao Ding, Fan Jia, Shiping Wang

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Local Geometrical Deep Matrix Factorization for Multi-View Clustering.

Pengfei Lin, Sheng Huang, Shiping Wang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multi-View Deep Matrix Factorization with Consensual Solution from Multiple Paths.

Sheng Huang, Lele Fu, Yunhe Zhang, Haiping Xu, Shiping Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Efficient Deep Embedded Subspace Clustering.

Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Differentiable Bi-Sparse Multi-View Co-Clustering.

Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, Shiping Wang

IEEE Trans. Signal Process., 2021

A Unified Scheme for Distance Metric Learning and Clustering via Rank-Reduced Regression.

Wenzhong Guo, Yiqing Shi, Shiping Wang

IEEE Trans. Syst. Man Cybern. Syst., 2021

Three-Dimensional Object Co-Localization From Mobile LiDAR Point Clouds.

Wenzhong Guo, Jiawei Chen, Weipeng Wang, Huan Luo, Shiping Wang

IEEE Trans. Intell. Transp. Syst., 2021

A Survey of Social Image Colocalization.

Jiawei Chen, William Zhu, Shiping Wang

IEEE Trans. Comput. Soc. Syst., 2021

Mining consistent correspondences using co-occurrence statistics.

Guobao Xiao, Shiping Wang, Han Wang, Jiayi Ma

Pattern Recognit., 2021

Unsupervised feature selection via transformed auto-encoder.

Yunhe Zhang, Zhoumin Lu, Shiping Wang

Knowl. Based Syst., 2021

Seeded random walk for multi-view semi-supervised classification.

Shiping Wang, Zhewen Wang, Kart-Leong Lim, Guobao Xiao, Wenzhong Guo

Knowl. Based Syst., 2021

Accelerated manifold embedding for multi-view semi-supervised classification.

Shiping Wang, Zhewen Wang, Wenzhong Guo

Inf. Sci., 2021

Deep random walk of unitary invariance for large-scale data representation.

Shiping Wang, Zhaoliang Chen, William Zhu, Fei-Yue Wang

Inf. Sci., 2021

TSSN-Net: Two-step Sparse Switchable Normalization for learning correspondences with heavy outliers.

Zhen Zhong, Guobao Xiao, Kun Zeng, Shiping Wang

Neurocomputing, 2021

Kernel meets recommender systems: A multi-kernel interpolation for matrix completion.

Zhaoliang Chen, Wei Zhao, Shiping Wang

Expert Syst. Appl., 2021

Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder.

Jinyu Cai, Shiping Wang, Wenzhong Guo

Expert Syst. Appl., 2021

FMixAugment for Semi-supervised Learning with Consistency Regularization.

Huibin Lin, Shiping Wang, Zhanghui Liu, Shunxin Xiao, Shide Du, Wenzhong Guo

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

A Unified Modular Framework with Deep Graph Convolutional Networks forMulti-label Image Recognition.

Qifan Lin, Zhaoliang Chen, Shiping Wang, Wenzhong Guo

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Enhanced Multi-view Matrix Factorization with Shared Representation.

Sheng Huang, Yunhe Zhang, Lele Fu, Shiping Wang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Multi-View Learning Via Low-Rank Tensor Optimization.

Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, Shiping Wang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

An Unsupervised Embedding Learning Feature Representation Scheme for Network Big Data Analysis.

Wenzhong Guo, Yiqing Shi, Shiping Wang, Neal N. Xiong

IEEE Trans. Netw. Sci. Eng., 2020

Deterministic Model Fitting by Local-Neighbor Preservation and Global-Residual Optimization.

Guobao Xiao, Jiayi Ma, Shiping Wang, Changwen Chen

IEEE Trans. Image Process., 2020

An adaptive kernelized rank-order distance for clustering non-spherical data with high noise.

Tianyi Huang, Shiping Wang, William Zhu

Int. J. Mach. Learn. Cybern., 2020

Deep clustering by maximizing mutual information in variational auto-encoder.

Chaoyang Xu, Yuanfei Dai, Renjie Lin, Shiping Wang

Knowl. Based Syst., 2020

Social image refinement and annotation via weakly-supervised variational auto-encoder.

Chaoyang Xu, Yuanfei Dai, Renjie Lin, Shiping Wang

Knowl. Based Syst., 2020

Sparse neighbor constrained co-clustering via category consistency learning.

Zhoumin Lu, Genggeng Liu, Shiping Wang

Knowl. Based Syst., 2020

Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings.

Yuanfei Dai, Shiping Wang, Xing Chen, Chaoyang Xu, Wenzhong Guo

Knowl. Based Syst., 2020

An overview of recent multi-view clustering.

Lele Fu, Pengfei Lin, Athanasios V. Vasilakos, Shiping Wang

Neurocomputing, 2020

Structured learning for unsupervised feature selection with high-order matrix factorization.

Shiping Wang, Jiawei Chen, Wenzhong Guo, Genggeng Liu

Expert Syst. Appl., 2020

Unsupervised discriminative feature representation via adversarial auto-encoder.

Wenzhong Guo, Jinyu Cai, Shiping Wang

Appl. Intell., 2020

2019

An Overview of Unsupervised Deep Feature Representation for Text Categorization.

Shiping Wang, Jinyu Cai, Qihao Lin, Wenzhong Guo

IEEE Trans. Comput. Soc. Syst., 2019

Sparse autoencoder for social image understanding.

Jianran Liu, Shiping Wang, Wenyuan Yang

Neurocomputing, 2019

Stacked Autoencoder Based Weak Supervision for Social Image Understanding.

Chaoyang Xu, Yuanfei Dai, Renjie Lin, Shiping Wang

IEEE Access, 2019

A Novel Forgery Detection Algorithm for Video Foreground Removal.

Lichao Su, Huan Luo, Shiping Wang

IEEE Access, 2019

An Overview of Co-Clustering via Matrix Factorization.

Renjie Lin, Shiping Wang, Wenzhong Guo

IEEE Access, 2019

Deep Multimodal Representation Learning: A Survey.

Wenzhong Guo, Jianwen Wang, Shiping Wang

IEEE Access, 2019

Model transferring for unsupervised object localization.

Renjie Lin, Shiping Wang, Wenzhong Guo

Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019

A Saliency-Fusion-Based Framework For Co-localization.

Jiawei Chen, Shiping Wang

Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019

Stacked Sparse Auto-Encoder for Deep Clustering.

Jinyu Cai, Shiping Wang, Wenzhong Guo

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Unsupervised deep feature representation using adversarial auto-encoder.

Jinyu Cai, Shiping Wang, Wenzhong Guo

Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Unsupervised Dimension Reduction for Image Classification Using Regularized Convolutional Auto-Encoder.

Chaoyang Xu, Ling Wu, Shiping Wang

Proceedings of the Advances in Computer Vision, 2019

2018

Sparse Graph Embedding Unsupervised Feature Selection.

Shiping Wang, William Zhu

IEEE Trans. Syst. Man Cybern. Syst., 2018

Object Proposal Generation for Unsupervised Object Localization.

Wenzhong Guo, Renjie Lin, Shiping Wang, Neal N. Xiong

Proceedings of the 9th International Symposium on Parallel Architectures, 2018

2017

Sparse Multigraph Embedding for Multimodal Feature Representation.

Shiping Wang, Wenzhong Guo

IEEE Trans. Multim., 2017

Unsupervised feature selection via low-rank approximation and structure learning.

Shiping Wang, Han Wang

Knowl. Based Syst., 2017

Robust co-clustering via dual local learning and high-order matrix factorization.

Shiping Wang, Wenzhong Guo

Knowl. Based Syst., 2017

Salient object detection with low-rank approximation and ℓ_{2, 1}-norm minimization.

Shiping Wang, Aiping Huang

Image Vis. Comput., 2017

Penalized nonnegative matrix tri-factorization for co-clustering.

Shiping Wang, Aiping Huang

Expert Syst. Appl., 2017

Object co-segmentation via weakly supervised data fusion.

Shiping Wang, Handuo Zhang, Han Wang

Comput. Vis. Image Underst., 2017

A Novel Algorithm of Image Fusion Based on Non-subsampled Shearlet-Contrast Transform.

Dongpeng Wu, Duyan Bi, Lin-Yuan He, Shiping Ma, Zunlin Fan, Wenshan Ding, Liyang Wu, Shiping Wang, Kun Liu

Proceedings of the Image and Graphics - 9th International Conference, 2017

2015

Subspace learning for unsupervised feature selection via matrix factorization.

Shiping Wang, Witold Pedrycz, Qingxin Zhu, William Zhu

Pattern Recognit., 2015

Unsupervised feature selection via maximum projection and minimum redundancy.

Shiping Wang, Witold Pedrycz, Qingxin Zhu, William Zhu

Knowl. Based Syst., 2015

2014

Graph and matrix approaches to rough sets through matroids.

Shiping Wang, Qingxin Zhu, William Zhu, Fan Min

Inf. Sci., 2014

Characteristic matrix of covering and its application to Boolean matrix decomposition.

Shiping Wang, William Zhu, Qingxin Zhu, Fan Min

Inf. Sci., 2014

Rough Set Characterization for 2-circuit Matroid.

Shiping Wang, Qingxin Zhu, William Zhu, Fan Min

Fundam. Informaticae, 2014

2013

Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets.

Shiping Wang, Qingxin Zhu, William Zhu, Fan Min

J. Appl. Math., 2013

Rough matroids based on relations.

William Zhu, Shiping Wang

Inf. Sci., 2013

Quantitative analysis for covering-based rough sets through the upper approximation number.

Shiping Wang, Qingxin Zhu, William Zhu, Fan Min

Inf. Sci., 2013

Four matroidal structures of covering and their relationships with rough sets.

Shiping Wang, William Zhu, Qingxin Zhu, Fan Min

Int. J. Approx. Reason., 2013

2012

Matroidal structure of rough sets and its characterization to attribute reduction.

Shiping Wang, Qingxin Zhu, William Zhu, Fan Min

Knowl. Based Syst., 2012

Boolean matrix decomposition through covering-based rough sets

Shiping Wang, Qingxin Zhu, William Zhu, Fan Min

CoRR, 2012

Characteristics of 2-circuit matroids through rough sets.

Shiping Wang, William Zhu, Qingxin Zhu, Fan Min

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011

Matroidal approaches to generalized rough sets based on relations.

William Zhu, Shiping Wang

Int. J. Mach. Learn. Cybern., 2011

Matroidal structure of covering-based rough sets through the upper approximation number.

Shiping Wang, William Zhu

Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011

Bipartite Graphs and Coverings.

Shiping Wang, William Zhu, Fan Min

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Transversal and Function Matroidal Structures of Covering-Based Rough Sets.

Shiping Wang, William Zhu, Fan Min

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Covering Numbers in Covering-Based Rough Sets.

Shiping Wang, Fan Min, William Zhu

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

Rough matroid.

William Zhu, Shiping Wang

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Reducible matroid and its relationship with covering-based rough sets.

Shiping Wang, William Zhu, Fan Min

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

The vectorially matroidal structure of generalized rough sets based on relations.

Shiping Wang, William Zhu, Fan Min

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

2010

Adaptive Dynamic Coupling Control of Hybrid Joints of Human-Symbiotic Wheeled Mobile Manipulators with Unmodelled Dynamics.

Zhijun Li, Yipeng Yang, Shiping Wang

Int. J. Soc. Robotics, 2010

Poset Approaches to Covering-Based Rough Sets.

Shiping Wang, William Zhu, Peiyong Zhu

Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

The Covering Upper Approximation by Subcovering.

Shiping Wang, William Zhu, Peiyong Zhu

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

Development of a novel system for accurate and continuous measurement of fruit diameter in agriculture and its applications to grapes.

Qingbing Zeng, Chengliang Liu, Yubin Miao, Shiping Wang

J. Electronic Imaging, 2009

2006

RMD: a rice mutant database for functional analysis of the rice genome.

Jianwei Zhang, Caishun Li, Changyin Wu, Lizhong Xiong, Guoxing Chen, Qifa Zhang, Shiping Wang

Nucleic Acids Res., 2006