RMD: a rice mutant database for functional analysis of the rice genome. - Jianwei Zhang 010; Caishun Li; Changyin Wu; Lizhong Xiong; Guoxing Chen; Qifa Zhang; Shiping Wang (Nucleic Acids Res., 2006)

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)

The Covering Upper Approximation by Subcovering. - Shiping Wang; William Zhu 001; Peiyong Zhu (GrC, 2010)

Poset Approaches to Covering-Based Rough Sets. - Shiping Wang; William Zhu 001; Peiyong Zhu (RSKT, 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)

The vectorially matroidal structure of generalized rough sets based on relations. - Shiping Wang; William Zhu 001; Fan Min 001 (GrC, 2011)

Reducible matroid and its relationship with covering-based rough sets. - Shiping Wang; William Zhu 001; Fan Min 001 (GrC, 2011)

Rough matroid. - William Zhu 001; Shiping Wang (GrC, 2011)

Covering Numbers in Covering-Based Rough Sets. - Shiping Wang; Fan Min 001; William Zhu 001 (RSFDGrC, 2011)

Transversal and Function Matroidal Structures of Covering-Based Rough Sets. - Shiping Wang; William Zhu 001; Fan Min 001 (RSKT, 2011)

Bipartite Graphs and Coverings. - Shiping Wang; William Zhu 001; Fan Min 001 (RSKT, 2011)

Matroidal structure of covering-based rough sets through the upper approximation number. - Shiping Wang; William Zhu 001 (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011)

Matroidal approaches to generalized rough sets based on relations. - William Zhu 001; Shiping Wang (Int. J. Mach. Learn. Cybern., 2011)

Characteristics of 2-circuit matroids through rough sets. - Shiping Wang; William Zhu 001; Qingxin Zhu; Fan Min 001 (GrC, 2012)

Boolean matrix decomposition through covering-based rough sets - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (CoRR, 2012)

Matroidal structure of rough sets and its characterization to attribute reduction. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (Knowl. Based Syst., 2012)

Four matroidal structures of covering and their relationships with rough sets. - Shiping Wang; William Zhu 001; Qingxin Zhu; Fan Min 001 (Int. J. Approx. Reason., 2013)

Quantitative analysis for covering-based rough sets through the upper approximation number. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (Inf. Sci., 2013)

Rough matroids based on relations. - William Zhu 001; Shiping Wang (Inf. Sci., 2013)

Equivalent Characterizations of Some Graph Problems by Covering-Based Rough Sets. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (J. Appl. Math., 2013)

Rough Set Characterization for 2-circuit Matroid. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (Fundam. Informaticae, 2014)

Characteristic matrix of covering and its application to Boolean matrix decomposition. - Shiping Wang; William Zhu 001; Qingxin Zhu; Fan Min 001 (Inf. Sci., 2014)

Graph and matrix approaches to rough sets through matroids. - Shiping Wang; Qingxin Zhu; William Zhu 001; Fan Min 001 (Inf. Sci., 2014)

Unsupervised feature selection via maximum projection and minimum redundancy. - Shiping Wang; Witold Pedrycz; Qingxin Zhu; William Zhu 001 (Knowl. Based Syst., 2015)

Subspace learning for unsupervised feature selection via matrix factorization. - Shiping Wang; Witold Pedrycz; Qingxin Zhu; William Zhu 001 (Pattern Recognit., 2015)

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 004 (ICIG (2), 2017)

Object co-segmentation via weakly supervised data fusion. - Shiping Wang; Handuo Zhang; Han Wang 001 (Comput. Vis. Image Underst., 2017)

Penalized nonnegative matrix tri-factorization for co-clustering. - Shiping Wang; Aiping Huang (Expert Syst. Appl., 2017)

Salient object detection with low-rank approximation and ℓ2, 1-norm minimization. - Shiping Wang; Aiping Huang (Image Vis. Comput., 2017)

Robust co-clustering via dual local learning and high-order matrix factorization. - Shiping Wang; Wenzhong Guo (Knowl. Based Syst., 2017)

Unsupervised feature selection via low-rank approximation and structure learning. - Shiping Wang; Han Wang 001 (Knowl. Based Syst., 2017)

Sparse Multigraph Embedding for Multimodal Feature Representation. - Shiping Wang; Wenzhong Guo (IEEE Trans. Multim., 2017)

Object Proposal Generation for Unsupervised Object Localization. - Wenzhong Guo; Renjie Lin; Shiping Wang; Neal N. Xiong (PAAP, 2018)

Sparse Graph Embedding Unsupervised Feature Selection. - Shiping Wang; William Zhu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Unsupervised Dimension Reduction for Image Classification Using Regularized Convolutional Auto-Encoder. - Chaoyang Xu; Ling Wu; Shiping Wang (CVC (1), 2019)

Unsupervised deep feature representation using adversarial auto-encoder. - Jinyu Cai; Shiping Wang; Wenzhong Guo (ICPS, 2019)

Stacked Sparse Auto-Encoder for Deep Clustering. - Jinyu Cai; Shiping Wang; Wenzhong Guo (ISPA/BDCloud/SocialCom/SustainCom, 2019)

A Saliency-Fusion-Based Framework For Co-localization. - Jiawei Chen; Shiping Wang (CIS/RAM, 2019)

Model transferring for unsupervised object localization. - Renjie Lin; Shiping Wang; Wenzhong Guo (CIS/RAM, 2019)

Deep Multimodal Representation Learning: A Survey. - Wenzhong Guo; Jianwen Wang; Shiping Wang (IEEE Access, 2019)

An Overview of Co-Clustering via Matrix Factorization. - Renjie Lin; Shiping Wang; Wenzhong Guo (IEEE Access, 2019)

A Novel Forgery Detection Algorithm for Video Foreground Removal. - Lichao Su; Huan Luo 001; Shiping Wang (IEEE Access, 2019)

Stacked Autoencoder Based Weak Supervision for Social Image Understanding. - Chaoyang Xu; Yuanfei Dai; Renjie Lin; Shiping Wang (IEEE Access, 2019)

Sparse autoencoder for social image understanding. - Jianran Liu; Shiping Wang; Wenyuan Yang (Neurocomputing, 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)

Unsupervised discriminative feature representation via adversarial auto-encoder. - Wenzhong Guo; Jinyu Cai; Shiping Wang (Appl. Intell., 2020)

Structured learning for unsupervised feature selection with high-order matrix factorization. - Shiping Wang; Jiawei Chen; Wenzhong Guo; Genggeng Liu (Expert Syst. Appl., 2020)

An overview of recent multi-view clustering. - Lele Fu; Pengfei Lin; Athanasios V. Vasilakos; Shiping Wang (Neurocomputing, 2020)

Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings. - Yuanfei Dai; Shiping Wang; Xing Chen 002; Chaoyang Xu; Wenzhong Guo (Knowl. Based Syst., 2020)

Sparse neighbor constrained co-clustering via category consistency learning. - Zhoumin Lu; Genggeng Liu; 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)

Deep clustering by maximizing mutual information in variational auto-encoder. - Chaoyang Xu; Yuanfei Dai; Renjie Lin; Shiping Wang (Knowl. Based Syst., 2020)

An adaptive kernelized rank-order distance for clustering non-spherical data with high noise. - Tianyi Huang; Shiping Wang; William Zhu 001 (Int. J. Mach. Learn. Cybern., 2020)

Deterministic Model Fitting by Local-Neighbor Preservation and Global-Residual Optimization. - Guobao Xiao; Jiayi Ma 001; Shiping Wang; Changwen Chen (IEEE Trans. Image Process., 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)

Multi-View Learning Via Low-Rank Tensor Optimization. - Lele Fu; Zhaoliang Chen; Sujia Huang; Sheng Huang; Shiping Wang (ICME, 2021)

Enhanced Multi-view Matrix Factorization with Shared Representation. - Sheng Huang; Yunhe Zhang 001; Lele Fu; Shiping Wang (PRCV (4), 2021)

A Unified Modular Framework with Deep Graph Convolutional Networks forMulti-label Image Recognition. - Qifan Lin; Zhaoliang Chen; Shiping Wang; Wenzhong Guo (PRCV (2), 2021)

FMixAugment for Semi-supervised Learning with Consistency Regularization. - Huibin Lin; Shiping Wang; Zhanghui Liu; Shunxin Xiao; Shide Du; Wenzhong Guo (PRCV (2), 2021)

Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder. - Jinyu Cai; Shiping Wang; Wenzhong Guo (Expert Syst. Appl., 2021)

Kernel meets recommender systems: A multi-kernel interpolation for matrix completion. - Zhaoliang Chen; Wei Zhao; Shiping Wang (Expert Syst. Appl., 2021)

TSSN-Net: Two-step Sparse Switchable Normalization for learning correspondences with heavy outliers. - Zhen Zhong; Guobao Xiao; Kun Zeng; Shiping Wang (Neurocomputing, 2021)

Deep random walk of unitary invariance for large-scale data representation. - Shiping Wang; Zhaoliang Chen; William Zhu 001; Fei-Yue Wang 001 (Inf. Sci., 2021)

Accelerated manifold embedding for multi-view semi-supervised classification. - Shiping Wang; Zhewen Wang; Wenzhong Guo (Inf. Sci., 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)

Unsupervised feature selection via transformed auto-encoder. - Yunhe Zhang 001; Zhoumin Lu; Shiping Wang (Knowl. Based Syst., 2021)

Mining consistent correspondences using co-occurrence statistics. - Guobao Xiao; Shiping Wang; Han Wang 001; Jiayi Ma 001 (Pattern Recognit., 2021)

A Survey of Social Image Colocalization. - Jiawei Chen; William Zhu 001; Shiping Wang (IEEE Trans. Comput. Soc. Syst., 2021)

Three-Dimensional Object Co-Localization From Mobile LiDAR Point Clouds. - Wenzhong Guo; Jiawei Chen; Weipeng Wang; Huan Luo 001; Shiping Wang (IEEE Trans. Intell. Transp. Syst., 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)

Differentiable Bi-Sparse Multi-View Co-Clustering. - Shide Du; Zhanghui Liu; Zhaoliang Chen; Wenyuan Yang; Shiping Wang (IEEE Trans. Signal Process., 2021)

Efficient Deep Embedded Subspace Clustering. - Jinyu Cai; Jicong Fan 001; Wenzhong Guo; Shiping Wang; Yunhe Zhang 001; Zhao Zhang 001 (CVPR, 2022)

Multi-View Deep Matrix Factorization with Consensual Solution from Multiple Paths. - Sheng Huang; Lele Fu; Yunhe Zhang 001; Haiping Xu; Shiping Wang (ICME, 2022)

Local Geometrical Deep Matrix Factorization for Multi-View Clustering. - Pengfei Lin; Sheng Huang; Shiping Wang (ITSC, 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 (QRS Companion, 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)

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)

Does internet use increase Chinese export enterprises' wage? - Chunyan Zhao; Shiping Wang (Int. J. Netw. Virtual Organisations, 2022)

PESA-Net: Permutation-Equivariant Split Attention Network for correspondence learning. - Zhen Zhong; Guobao Xiao; Shiping Wang; Leyi Wei; Xiaoqin Zhang 002 (Inf. Fusion, 2022)

Diversity embedding deep matrix factorization for multi-view clustering. - Zexi Chen; Pengfei Lin; Zhaoliang Chen; Dongyi Ye; Shiping Wang (Inf. Sci., 2022)

DA-Net: Dual-attention network for multivariate time series classification. - Rongjun Chen; Xuanhui Yan; Shiping Wang; Guobao Xiao (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 001 (Inf. Sci., 2022)

Multi-view fuzzy clustering of deep random walk and sparse low-rank embedding. - Shiping Wang; Shunxin Xiao; William Zhu 001; Yingya Guo (Inf. Sci., 2022)

Multi-view clustering with graph regularized optimal transport. - Jie Yao; Renjie Lin; Zhenghong Lin; Shiping Wang (Inf. Sci., 2022)

A review on matrix completion for recommender systems. - Zhaoliang Chen; Shiping Wang (Knowl. Inf. Syst., 2022)

Deep image clustering by fusing contrastive learning and neighbor relation mining. - Chaoyang Xu; Renjie Lin; Jinyu Cai; Shiping Wang (Knowl. Based Syst., 2022)

Graph neural networks in node classification: survey and evaluation. - Shunxin Xiao; Shiping Wang; Yuanfei Dai; Wenzhong Guo (Mach. Vis. Appl., 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)

Unsupervised deep clustering via contractive feature representation and focal loss. - Jinyu Cai; Shiping Wang; Chaoyang Xu; Wenzhong Guo (Pattern Recognit., 2022)

An Overview of Correlation-Filter-Based Object Tracking. - Shide Du; Shiping Wang (IEEE Trans. Comput. Soc. Syst., 2022)

Multigraph Random Walk for Joint Learning of Multiview Clustering and Semisupervised Classification. - Shiping Wang; Lele Fu; Zhewen Wang; Haiping Xu; William Zhu 001 (IEEE Trans. Comput. Soc. Syst., 2022)

MSA-Net: Establishing Reliable Correspondences by Multiscale Attention Network. - Linxin Zheng; Guobao Xiao; Ziwei Shi; Shiping Wang; Jiayi Ma 001 (IEEE Trans. Image Process., 2022)

Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks. - Zhaoliang Chen; Zhihao Wu 003; Shiping Wang; Wenzhong Guo (AAAI, 2023)

Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework. - Shiping Wang; Zhihao Wu 003; Yuhong Chen; Yong Chen 008 (AAAI, 2023)

Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. - Sujia Huang; Shunxin Xiao; Wenzhe Liu; Jielong Lu; Zhihao Wu 003; Shiping Wang; Jagath C. Rajapakse (BIBM, 2023)

DMRL-Net: Differentiable Multi-view Representation Learning Network. - Zihan Fang; Shide Du; Yaqing Chen; Shiping Wang (ICME, 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 (ACM Multimedia, 2023)

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Yunfei Zhan; Weiming Liu 005; Fan Wang 020; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ACM Multimedia, 2023)

Learning for Feature Matching via Graph Context Attention. - Junwen Guo; Guobao Xiao; Zhimin Tang; Shunxing Chen; Shiping Wang; Jiayi Ma 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Dual-Attention-Based Feature Aggregation Network for Infrared and Visible Image Fusion. - Zhimin Tang; Guobao Xiao; Junwen Guo; Shiping Wang; Jiayi Ma 001 (IEEE Trans. Instrum. Meas., 2023)

Efficient and Differentiable Low-Rank Matrix Completion With Back Propagation. - Zhaoliang Chen; Jie Yao; Guobao Xiao; 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)

Learnable Multi-View Matrix Factorization With Graph Embedding and Flexible Loss. - Sheng Huang; Yunhe Zhang 001; Lele Fu; 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)

Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning. - Zhihao Wu 003; Xincan Lin; Zhenghong Lin; Zhaoliang Chen; Yang Bai; Shiping Wang (IEEE Trans. Multim., 2023)

Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering. - Shunxin Xiao; Shide Du; Zhaoliang Chen; Yunhe Zhang 001; Shiping Wang (IEEE Trans. Multim., 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)

Contrastive Graph Convolutional Networks With Generative Adjacency Matrix. - Luying Zhong; Jinbin Yang; Zhaoliang Chen; Shiping Wang (IEEE Trans. Signal Process., 2023)

SGAE: Stacked Graph Autoencoder for Deep Clustering. - Shunxin Xiao; Shiping Wang; Wenzhong Guo (IEEE Trans. Big Data, 2023)

Algorithm for orthogonal matrix nearness and its application to feature representation. - Shiping Wang; Xincan Lin; Yiqing Shi; Xizhao Wang (Inf. Sci., 2023)

Learning matrix factorization with scalable distance metric and regularizer. - Shiping Wang; Yunhe Zhang 001; Xincan Lin; Lichao Su; Guobao Xiao; William Zhu 001; Yiqing Shi (Neural Networks, 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., 2023)

Learning speaker-independent multimodal representation for sentiment analysis. - Jianwen Wang; Shiping Wang; Mingwei Lin; Zeshui Xu; Wenzhong Guo (Inf. Sci., 2023)

Robust weighted co-clustering with global and local discrimination. - Zhoumin Lu; Shiping Wang; Genggeng Liu; Feiping Nie 001 (Pattern Recognit., 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, 2023)

CCR-Net: Consistent contrastive representation network for multi-view clustering. - Renjie Lin; Yongkun Lin; Zhenghong Lin; Shide Du; Shiping Wang (Inf. Sci., 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, 2023)

Multiview Deep Matrix Factorization for Shared Compact Representation. - Zexi Chen; Yunhe Zhang 001; Sheng Huang; Yanfang Liu; William Zhu 001; Shiping Wang (IEEE Trans. Comput. Soc. Syst., 2023)

Consistent graph embedding network with optimal transport for incomplete multi-view clustering. - Renjie Lin; Shide Du; Shiping Wang; Wenzhong Guo (Inf. Sci., 2023)

Label correction using contrastive prototypical classifier for noisy label learning. - Chaoyang Xu; Renjie Lin; Jinyu Cai; Shiping Wang (Inf. Sci., 2023)

Multi-view clustering via optimal transport algorithm. - Renjie Lin; Shide Du; Shiping Wang; Wenzhong Guo (Knowl. Based Syst., 2023)

Joint learning of feature and topology for multi-view graph convolutional network. - Yuhong Chen; Zhihao Wu 003; Zhaoliang Chen; Mianxiong Dong; Shiping Wang (Neural Networks, 2023)

Graph Context Transformation Learning for Progressive Correspondence Pruning. - Junwen Guo; Guobao Xiao; Shiping Wang; Jun Yu 002 (AAAI, 2024)

BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning. - Xiangyang Miao; Guobao Xiao; Shiping Wang; Jun Yu 002 (AAAI, 2024)

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. - Yanchao Tan; Hang Lv 010; Zihao Zhou; Wenzhong Guo; Bo Xiong; Weiming Liu 005; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ICDE, 2024)

Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation. - Yanchao Tan; Zhenghong Lin; Sujie Pan; Siying Xu; Weiming Liu 005; Guofang Ma; Shiping Wang (ICME, 2024)

Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. - Zhenghong Lin; Wei Huang; Hengyu Zhang 001; Jiayu Xu; Weiming Liu 005; Xinting Liao; Fan Wang 020; Shiping Wang; Yanchao Tan (IJCAI, 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 (KDD, 2024)

Beyond the Known: Ambiguity-Aware Multi-view Learning. - Zihan Fang; Shide Du; Yuhong Chen; Shiping Wang (ACM Multimedia, 2024)

Towards Multi-view Consistent Graph Diffusion. - Jielong Lu; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Shiping Wang (ACM Multimedia, 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)

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining. - Yanchao Tan; Hang Lv 010; Xinyi Huang; Jiawei Zhang 002; Shiping Wang; Carl Yang 001 (CoRR, 2024)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. - Zhaoliang Chen; Zhihao Wu 003; Ylli Sadikaj; Claudia Plant; Hong-Ning Dai; Shiping Wang; Wenzhong Guo (CoRR, 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)

Adaptive graph active learning with mutual information via policy learning. - Yang Huang; Yueyang Pi; Yiqing Shi; Wenzhong Guo; Shiping Wang (Expert Syst. Appl., 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)

Geometric localized graph convolutional network for multi-view semi-supervised classification. - Aiping Huang; Jielong Lu; Zhihao Wu 003; Zhaoliang Chen; Yuhong Chen; Shiping Wang; Hehong Zhang (Inf. Sci., 2024)

Adaptive-propagating heterophilous graph convolutional network. - Yang Huang; Yiqing Shi; Yueyang Pi; Jinbo Li; Shiping Wang; Wenzhong Guo (Knowl. Based Syst., 2024)

Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs. - Zhaoliang Chen; Zhihao Wu 003; Luying Zhong; Claudia Plant; Shiping Wang; Wenzhong Guo (Neural Networks, 2024)

Multi-view heterogeneous graph learning with compressed hypergraph neural networks. - Aiping Huang; Zihan Fang; Zhihao Wu 003; Yanchao Tan; Peng Han 005; Shiping Wang; Le Zhang 001 (Neural Networks, 2024)

Heterogeneous graph convolutional network for multi-view semi-supervised classification. - Shiping Wang; Sujia Huang; Zhihao Wu 003; Rui Liu 007; Yong Chen 008; Dell Zhang (Neural Networks, 2024)

Attention-based stackable graph convolutional network for multi-view learning. - Zhiyong Xu; Weibin Chen; Ying Zou 024; Zihan Fang; Shiping Wang (Neural Networks, 2024)

Graph Convolutional Network with elastic topology. - Zhihao Wu 003; Zhaoliang Chen; Shide Du; Sujia Huang; Shiping Wang (Pattern Recognit., 2024)

Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training. - Yuanfei Dai; Bin Zhang; Shiping Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity. - Shide Du; Zhiling Cai; Zhihao Wu 003; Yueyang Pi; Shiping Wang (IEEE Trans. Image Process., 2024)

Wasserstein Embedding Learning for Deep Clustering: A Generative Approach. - Jinyu Cai; Yunhe Zhang 001; Shiping Wang; Jicong Fan 001; Wenzhong Guo (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)

Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. - Zhenghong Lin; Qishan Yan; Weiming Liu 005; Shiping Wang; Menghan Wang; Yanchao Tan; Carl Yang 001 (IEEE Trans. Multim., 2024)

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification. - Jielong Lu; Zhihao Wu 003; Luying Zhong; Zhaoliang Chen; Hong Zhao 002; Shiping Wang (IEEE Trans. Multim., 2024)

Graph Anomaly Detection via Multi-View Discriminative Awareness Learning. - Jie Lian 006; Xuzheng Wang; Xincan Lin; Zhihao Wu 003; Shiping Wang; Wenzhong Guo (IEEE Trans. Netw. Sci. Eng., 2024)

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics. - Sujia Huang; Shide Du; Lele Fu; Zhihao Wu 003; Shiping Wang (IEEE Trans. Signal Inf. Process. over Networks, 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., 2024)

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network. - Ying Zou 024; Zihan Fang; Zhihao Wu 003; Chenghui Zheng; Shiping Wang (Neural Networks, 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, 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., 2024)

An Overview of Advanced Deep Graph Node Clustering. - Shiping Wang; Jinbin Yang; Jie Yao; Yang Bai; William Zhu 001 (IEEE Trans. Comput. Soc. Syst., 2024)

GAF-Net: Graph attention fusion network for multi-view semi-supervised classification. - Na Song; Shide Du; Zhihao Wu 003; Luying Zhong; Laurence T. Yang; Jing Yang 051; Shiping Wang (Expert Syst. Appl., 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 015; Yu Lu; Yafei Xie; Xupeng Wang; Shiping Wang; Bo Li 051 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Multi-view reinforcement learning for sequential decision-making with insufficient state information. - Min Li 026; William Zhu 001; Shiping Wang (Int. J. Mach. Learn. Cybern., 2024)

IMPRL-Net: interpretable multi-view proximity representation learning network. - Shiyang Lan; Zihan Fang; Shide Du; Zhiling Cai; Shiping Wang (Neural Comput. Appl., 2024)

RF-GCN_Dataset. - Shiping Wang (IEEE DataPort, 2024)

Multi-Relation Augmentation for Graph Neural Networks. - Shunxin Xiao; Huibin Lin; Jianwen Wang; Xiaolong Qin; Shiping Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing. - Zhaoliang Chen; Zhihao Wu 003; Zhenghong Lin; Shiping Wang; Claudia Plant; Wenzhong Guo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graph neural networks for multi-view learning: a taxonomic review. - Shunxin Xiao; Jiacheng Li; Jielong Lu; Sujia Huang; Bao Zeng; Shiping Wang (Artif. Intell. Rev., 2024)

Accuracy and generalization improvement for image quality assessment of authentic distortion by semi-supervised learning. - Hanlin Yang; William Zhu 001; Shiping Wang (Appl. Intell., 2024)

Deep Masked Graph Node Clustering. - Jinbin Yang; Jinyu Cai; Luying Zhong; Yueyang Pi; Shiping Wang (IEEE Trans. Comput. Soc. Syst., 2024)

Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. - Yuhong Chen; Ailin Song; Huifeng Yin; Shuai Zhong; Fuhai Chen; Qi Xu; Shiping Wang; Mingkun Xu (AAAI, 2025)

OpenViewer: Openness-Aware Multi-View Learning. - Shide Du; Zihan Fang; Yanchao Tan; Changwei Wang 001; Shiping Wang; Wenzhong Guo (AAAI, 2025)

Efficient multi-view graph convolutional networks via local aggregation and global propagation. - Lu Liu; Yongquan Shi; Yueyang Pi; Wenzhong Guo; Shiping Wang (Expert Syst. Appl., 2025)

Multi-scale structure-guided graph generation for multi-view semi-supervised classification. - Yilin Wu 001; Zhaoliang Chen; Ying Zou 024; Shiping Wang; Wenzhong Guo (Expert Syst. Appl., 2025)

SCHG: Spectral Clustering-guided Hypergraph Neural Networks for Multi-view Semi-supervised Learning. - Yuze Wu; Shiyang Lan; Zhiling Cai; Mingjian Fu 001; Jinbo Li; Shiping Wang (Expert Syst. Appl., 2025)

Low-rank tucker decomposition for multi-view outlier detection based on meta-learning. - Wei Lin; Kun Xie; Jiayin Li; Shiping Wang; Li Xu (Inf. Fusion, 2025)

Optimization-oriented multi-view representation learning in implicit bi-topological spaces. - Shiyang Lan; Shide Du; Zihan Fang; Zhiling Cai; Wei Huang; Shiping Wang (Inf. Sci., 2025)

Dual-channel optimized multi-view learning via information bottleneck. - Jiacheng Li; Yuhong Chen; Jie Lian 006; Jielong Lu; Weiran Liao; Shiping Wang (Knowl. Based Syst., 2025)

Multi-view Representation Learning with Decoupled private and shared Propagation. - Xuzheng Wang; Shiyang Lan; Zhihao Wu 003; Wenzhong Guo; Shiping Wang (Knowl. Based Syst., 2025)

Heterogeneous Graph Embedding with Dual Edge Differentiation. - Yuhong Chen; Fuhai Chen; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Yanchao Tan; Shiping Wang (Neural Networks, 2025)

Heterogeneous Graph Neural Network with Adaptive Relation Reconstruction. - Weihong Lin; Zhaoliang Chen; Yuhong Chen; Shiping Wang (Neural Networks, 2025)

Exploring unified cross-view hypergraph generation for multi-view semi-supervised classification. - Zhibin Shi; Zhenghong Lin; Weihong Lin; Shiping Wang (Neural Networks, 2025)

Information-controlled graph convolutional network for multi-view semi-supervised classification. - Yongquan Shi; Yueyang Pi; Zhanghui Liu; Hong Zhao 002; Shiping Wang (Neural Networks, 2025)

MOAL: Multi-view Out-of-distribution Awareness Learning. - Xuzheng Wang; Zihan Fang; Shide Du; Wenzhong Guo; Shiping Wang (Neural Networks, 2025)

Plasticized electrohydraulic robot autopilots in the deep sea. - Guorui Li; Peng Shen; Tuck-Whye Wong; Mingyu Liu; Zhenxiang Sun; Xinyu Liu; Yongzai Chen; Xianghan Wang; Hao Zhang; Bingxu Hu; Deli Chen; Zhihan Zhang; et al. (Sci. Robotics, 2025)

C2T-HR3D: Cross-Fusion of CNN and Transformer for High-Speed Railway Dropper Defect Detection. - Jin He; Fengmao Lv; Jun Liu 046; Min Wu 008; Badong Chen; Shiping Wang (IEEE Trans. Instrum. Meas., 2025)

Towards Adaptive Masked Structural Learning for Graph-Level Clustering. - Jinbin Yang; Jinyu Cai; Yunhe Zhang 001; Sujia Huang; Shiping Wang (IEEE Trans. Netw. Sci. Eng., 2025)

Low-rank tensor learning with projection distance metric for multi-view clustering. - Sujia Huang; Lele Fu; Shide Du; Zhihao Wu 003; Athanasios V. Vasilakos; Shiping Wang (Int. J. Mach. Learn. Cybern., 2025)

Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck. - Luying Zhong; Zhaoliang Chen; Zhihao Wu 003; Shide Du; Zheyi Chen; Shiping Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Backdoor Attack and Defense on Deep Learning: A Survey. - Yang Bai; Gaojie Xing; Hongyan Wu; Zhihong Rao; Chuan Ma 001; Shiping Wang; Xiaolei Liu 001; Yimin Zhou 002; Jiajia Tang; Kaijun Huang; Jiale Kang (IEEE Trans. Comput. Soc. Syst., 2025)

Deep random walk inspired multi-view graph convolutional networks for semi-supervised classification. - Zexi Chen; Weibin Chen; Jie Yao; Jinbo Li; Shiping Wang (Appl. Intell., 2025)

Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors. - Jielong Lu; Zhihao Wu 003; Zhiling Cai; Yueyang Pi; Shiping Wang (CoRR, 2025)

Unsupervised Projected Sample Selector for Active Learning. - Yueyang Pi; Yiqing Shi; Shide Du; Yang Huang; Shiping Wang (IEEE Trans. Big Data, 2025)

Inhomogeneous Diffusion-Induced Network for Multiview Semi-Supervised Classification. - Yueyang Pi; Yilin Wu 001; Yang Huang; Yongquan Shi; Shiping Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multi-scale graph diffusion convolutional network for multi-view learning. - Shiping Wang; Jiacheng Li; Yuhong Chen; Zhihao Wu 003; Aiping Huang; Le Zhang 001 (Artif. Intell. Rev., 2025)

JDC-GCN: joint diversity and consistency graph convolutional network. - Renjie Lin; Jie Yao; Shiping Wang; Wenzhong Guo (Neural Comput. Appl., 2025)

Scalable multi-modal representation learning networks. - Zihan Fang; Ying Zou 024; Shiyang Lan; Shide Du; Yanchao Tan; Shiping Wang (Artif. Intell. Rev., 2025)

LargeMvC-Net: Anchor-based Deep Unfolding Network for Large-scale Multi-view Clustering. - Shide Du; Chunming Wu; Zihan Fang; Wendi Zhao; Yilin Wu; Changwei Wang 001; Shiping Wang (CoRR, 2025)

Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing. - Zihan Fang; Zhiyong Xu; Lan Du; Shide Du; Zhiling Cai; Shiping Wang (CoRR, 2025)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. - Zhaoliang Chen; Zhihao Wu 003; Ylli Sadikaj; Claudia Plant; Hong-Ning Dai; Shiping Wang; Yiu-Ming Cheung; Wenzhong Guo (IEEE Trans. Knowl. Data Eng., 2025)

Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Jiamin Chen; Hengyu Zhang 001; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ACM Trans. Inf. Syst., 2025)