Hu, Y.L.[Yong-Li],
Song, Z.[Zuolong],
Wang, B.Y.[Bo-Yue],
Gao, J.B.[Jun-Bin],
Sun, Y.F.[Yan-Feng],
Yin, B.C.[Bao-Cai],
AKM3C: Adaptive K-Multiple-Means for Multi-View Clustering,
CirSysVideo(31), No. 11, November 2021, pp. 4214-4226.
IEEE DOI
2112
Clustering methods, Bipartite graph, Kernel, Matrix decomposition,
Tensors, Fuses, Adaptation models, Multi-view clustering, K-means,
Laplacian rank constraint
BibRef
Li, X.L.[Xue-Long],
Zhang, H.[Han],
Wang, R.[Rong],
Nie, F.P.[Fei-Ping],
Multiview Clustering:
A Scalable and Parameter-Free Bipartite Graph Fusion Method,
PAMI(44), No. 1, January 2022, pp. 330-344.
IEEE DOI
2112
Laplace equations, Clustering algorithms, Bipartite graph,
Optical imaging, Data models, Computer science,
initialization-independent
BibRef
Lin, S.Y.[Shu-Yuan],
Luo, H.L.[Hai-Ling],
Yan, Y.[Yan],
Xiao, G.B.[Guo-Bao],
Wang, H.Z.[Han-Zi],
Co-Clustering on Bipartite Graphs for Robust Model Fitting,
IP(31), 2022, pp. 6605-6620.
IEEE DOI
2211
Data models, Bipartite graph, Computational modeling,
Partitioning algorithms, Clustering methods, Analytical models,
multiple-structure data
BibRef
Yang, H.Z.[Hai-Zhou],
Gao, Q.X.[Quan-Xue],
Xia, W.[Wei],
Yang, M.[Ming],
Gao, X.B.[Xin-Bo],
Multiview Spectral Clustering With Bipartite Graph,
IP(31), 2022, pp. 3591-3605.
IEEE DOI
2206
Tensors, Matrix decomposition, Laplace equations,
Clustering algorithms, Computational modeling, Adaptation models,
large scale data
BibRef
Xia, W.[Wei],
Gao, Q.X.[Quan-Xue],
Wang, Q.Q.[Qian-Qian],
Gao, X.B.[Xin-Bo],
Ding, C.[Chris],
Tao, D.C.[Da-Cheng],
Tensorized Bipartite Graph Learning for Multi-View Clustering,
PAMI(45), No. 4, April 2023, pp. 5187-5202.
IEEE DOI
2303
Bipartite graph, Tensors, Laplace equations, Clustering methods,
Sparse matrices, Clustering algorithms, Minimization,
tensor schatten p-norm
BibRef
Xie, D.Y.[De-Yan],
Gao, Q.X.[Quan-Xue],
Zhao, Y.G.[You-Gang],
Yang, F.[Fan],
Song, W.[Wei],
Consistent graph learning for multi-view spectral clustering,
PR(154), 2024, pp. 110598.
Elsevier DOI
2406
Spectral clustering, Multi-view clustering, Tensor learning, Graph learning
BibRef
Zhao, X.W.[Xing-Wang],
Wang, S.J.[Shu-Jun],
Liu, X.L.[Xiao-Lin],
Liang, J.[Jiye],
Multi-view clustering via dynamic unified bipartite graph learning,
PR(156), 2024, pp. 110715.
Elsevier DOI
2408
Multi-view clustering, Unified bipartite graph,
Multi-granular structural information, Dynamic filter
BibRef
Zhao, X.J.[Xiao-Jia],
Shen, Q.Q.[Qiang-Qiang],
Chen, Y.Y.[Yong-Yong],
Liang, Y.S.[Yong-Sheng],
Chen, J.X.[Jun-Xin],
Zhou, Y.C.[Yi-Cong],
Self-Completed Bipartite Graph Learning for Fast Incomplete
Multi-View Clustering,
CirSysVideo(34), No. 4, April 2024, pp. 2166-2178.
IEEE DOI
2404
Bipartite graph, Kernel, Correlation, Task analysis, Optimization,
Excavation, Time complexity, Incomplete multi-view clustering,
graph self-completion
BibRef
Yu, S.J.[Sheng-Ju],
Wang, S.W.[Si-Wei],
Wen, Y.[Yi],
Wang, Z.M.[Zi-Ming],
Luo, Z.G.[Zhi-Gang],
Zhu, E.[En],
Liu, X.W.[Xin-Wang],
How to Construct Corresponding Anchors for Incomplete Multiview
Clustering,
CirSysVideo(34), No. 4, April 2024, pp. 2845-2860.
IEEE DOI
2404
Bipartite graph, Clustering algorithms, Transforms, Task analysis,
Kernel, Complexity theory, Neural networks,
multiview learning
BibRef
Xia, X.X.[Xian-Xian],
Huang, D.[Dong],
Yang, C.M.[Chen-Min],
He, C.[Chaobo],
Wang, C.D.[Chang-Dong],
Simple One-Step Multi-View Clustering With Fast Similarity and
Cluster Structure Learning,
SPLetters(32), 2025, pp. 1850-1854.
IEEE DOI
2505
Optimization, Bipartite graph, Similarity learning,
Linear programming, Adaptation models, Vectors, multi-view clustering
BibRef
Lu, X.[Xu],
Zhang, L.[Liang],
Liu, L.[Li],
Zhang, H.X.[Hua-Xiang],
Incomplete Multi-Modal Weakly-Supervised Hashing With Consensus
Bipartite Graph,
CirSysVideo(35), No. 7, July 2025, pp. 7253-7265.
IEEE DOI
2507
Semantics, Codes, Bipartite graph, Streaming media,
Vectors, Correlation, Training data, Training, weight learning
BibRef
Wang, S.W.[Si-Wei],
Liu, X.W.[Xin-Wang],
Liu, L.[Li],
Tu, W.X.[Wen-Xuan],
Zhu, X.Z.[Xin-Zhong],
Liu, J.Y.[Ji-Yuan],
Zhou, S.H.[Si-Hang],
Zhu, E.[En],
Highly-efficient Incomplete Largescale Multiview Clustering with
Consensus Bipartite Graph,
CVPR22(9766-9775)
IEEE DOI
2210
Codes, Clustering algorithms, Manuals, Machine learning,
Benchmark testing, Bipartite graph, Self- semi- meta- Machine learning
BibRef
Liu, J.Y.[Ji-Yuan],
Liu, X.W.[Xin-Wang],
Yang, Y.X.[Yue-Xiang],
Liu, L.[Li],
Wang, S.Q.[Si-Qi],
Liang, W.X.[Wei-Xuan],
Shi, J.Y.[Jiang-Yong],
One-pass Multi-view Clustering for Large-scale Data,
ICCV21(12324-12333)
IEEE DOI
2203
Clustering algorithms, Benchmark testing,
Partitioning algorithms, Complexity theory, Matrix decomposition,
Vision + other modalities
BibRef
Liu, J.Y.[Ji-Yuan],
Liu, X.W.[Xin-Wang],
Li, C.[Chuankun],
Wan, X.H.[Xin-Hang],
Tan, H.[Hao],
Zhang, Y.[Yi],
Liang, W.X.[Wei-Xuan],
Qu, Q.[Qian],
Feng, Y.[Yu],
Guan, R.X.[Ren-Xiang],
Liang, K.[Ke],
Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels,
CVPR25(20727-20736)
IEEE DOI
2508
Hands, Tensors, Clustering methods, Machine learning,
Complexity theory, Kernel, Unsupervised learning, Optimization,
kernel clustering
BibRef
Yuan, H.L.[Hong-Lin],
Sun, Y.[Yuan],
Zhou, F.[Fei],
Wen, J.[Jing],
Yuan, S.H.[Shi-Hua],
You, X.J.[Xiao-Jian],
Ren, Z.W.[Zhen-Wen],
Prototype Matching Learning for Incomplete Multi-View Clustering,
IP(34), 2025, pp. 828-841.
IEEE DOI Code:
WWW Link.
2502
Prototypes, Contrastive learning, Overfitting, Robustness,
Imputation, Sun, Noise, Decoding, Correlation, Uncertainty,
prototype matching
BibRef
Li, X.F.[Xing-Feng],
Pan, Y.G.[Yuan-Gang],
Sun, Y.[Yuan],
Sun, Q.S.[Quan-Sen],
Sun, Y.H.[Ying-Hui],
Tsang, I.W.[Ivor W.],
Ren, Z.W.[Zhen-Wen],
Incomplete Multi-View Clustering With Paired and Balanced Dynamic
Anchor Learning,
MultMed(27), 2025, pp. 1486-1497.
IEEE DOI
2503
Sun, Tensors, Vectors, Optimization, Computer science,
Complexity theory, Bipartite graph, Artificial intelligence,
low-rank tensor
BibRef
Xue, X.Y.[Xing-Yu],
Zhao, W.H.[Wen-Hui],
Gao, Q.X.[Quan-Xue],
Yang, M.[Ming],
Deng, C.[Cheng],
Image Clustering With Transition Probabilities Learning,
IP(34), 2025, pp. 1441-1453.
IEEE DOI
2503
Tensors, Bipartite graph, Data models, Clustering algorithms,
Probabilistic logic, Computational modeling, Data mining,
transition probability
BibRef
Yao, M.Z.[Ming-Ze],
Wang, H.B.[Hui-Bing],
Chen, Y.[Yawei],
Fu, X.P.[Xian-Ping],
Between/Within View Information Completing for Tensorial Incomplete
Multi-View Clustering,
MultMed(27), 2025, pp. 1538-1550.
IEEE DOI
2503
Tensors, Correlation, Bipartite graph, Perturbation methods, Kernel,
Fast Fourier transforms, Clustering methods, dual tensor constraint
BibRef
Liu, Q.[Qi],
Liu, S.Y.[Su-Yuan],
Dai, J.H.[Jian-Hua],
Zhu, X.L.[Xue-Ling],
Liu, X.W.[Xin-Wang],
Linear Complexity Multi-View Unsupervised Feature Selection via
Anchor-Based Feature Relationship Construction,
IP(34), 2025, pp. 7889-7902.
IEEE DOI Code:
WWW Link.
2512
Feature extraction, Bipartite graph, Time complexity, Robustness,
Noise, Data structures, Noise measurement, Laplace equations,
bipartite graph learning
BibRef
Wang, J.Y.[Jing-Yu],
Liu, M.Q.[Ming-Qing],
Nie, F.P.[Fei-Ping],
Li, X.L.[Xue-Long],
Normalized cut co-clustering with out-of-sample extension,
PR(169), 2026, pp. 111881.
Elsevier DOI
2509
Co-clustering, Normalized cut, Bipartite graph, Out-of-sample extension
BibRef
Jiang, H.Y.[Hong-Yu],
Tao, H.[Hong],
Jiang, Z.Q.[Zhang-Qi],
Hou, C.P.[Chen-Ping],
Unaligned multi-view clustering via diversified anchor graph fusion,
PR(170), 2026, pp. 111977.
Elsevier DOI Code:
WWW Link.
2509
Unaligned multi-view clustering, Diversified anchors, Bipartite graph fusion
BibRef
Yang, M.[Ming],
Luo, Q.L.[Qi-Lun],
Li, W.[Wen],
Xiao, M.Q.[Ming-Qing],
Multiview Clustering of Images with Tensor Rank Minimization via
Nonconvex Approach,
SIIMS(13), No. 4, 2020, pp. 2361-2392.
DOI Link
2012
BibRef
Li, M.[Min],
Yao, X.[Xue],
Xiao, M.Q.[Ming-Qing],
Wang, W.W.[Wei-Wei],
Nonconvex tensor multiview subspace clustering with bipartite graph
regularization,
PR(169), 2026, pp. 111818.
Elsevier DOI
2509
Multi-view clustering, Anchor points, Bipartite graph, t-SVD,
Weighted nuclear norm
BibRef
Jiang, Z.[Zhenni],
Li, H.[Hui],
Liu, X.[Xiyu],
Zang, W.K.[Wen-Ke],
An effective two-stage auto-weighted multi-view consensus clustering
via bipartite graph,
PR(171), 2026, pp. 112202.
Elsevier DOI
2510
Multi-view clustering, Bipartite graph learning,
Consensus clustering, Spectral clustering
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Multi-Label Classification, Multilabel Classification .