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Block-Row Sparse Multiview Multilabel Learning for Image
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Cyber(46), No. 2, February 2016, pp. 450-461.
IEEE DOI
1601
Multiview, multilabel
BibRef
Pang, Y.W.[Yan-Wei],
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Wang, K.Q.[Kong-Qiao],
Multimodal learning for multi-label image classification,
ICIP11(1797-1800).
IEEE DOI
1201
BibRef
Zhu, P.F.[Peng-Fei],
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Feng, Z.Z.[Zhi-Zhao],
Multi-view label embedding,
PR(84), 2018, pp. 126-135.
Elsevier DOI
1809
Multi-label classification, Multi-view label embedding,
Label space dimension reduction
BibRef
Sun, S.L.[Shi-Liang],
Zong, D.M.[Dao-Ming],
LCBM: A Multi-View Probabilistic Model for Multi-Label Classification,
PAMI(43), No. 8, August 2021, pp. 2682-2696.
IEEE DOI
2107
Probabilistic logic, Task analysis, Prediction algorithms,
Support vector machines, Kernel, Training, Semantics,
variational autoencoder
BibRef
Wang, L.C.[Li-Chen],
Liu, Y.Y.[Yun-Yu],
Di, H.[Hang],
Qin, C.[Can],
Sun, G.[Gan],
Fu, Y.[Yun],
Semi-Supervised Dual Relation Learning for Multi-Label Classification,
IP(30), 2021, pp. 9125-9135.
IEEE DOI
2112
Semantics, Feature extraction, Correlation, Training, Tensors,
Task analysis, Sun, Label relation learning,
image annotation
BibRef
Liu, Y.Y.[Yun-Yu],
Wang, L.C.[Li-Chen],
Bai, Y.[Yue],
Qin, C.[Can],
Ding, Z.M.[Zheng-Ming],
Fu, Y.[Yun],
Generative View-Correlation Adaptation for Semi-Supervised Multi-View
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ECCV20(XIV:318-334).
Springer DOI
2011
BibRef
Li, X.[Xiang],
Chen, S.C.[Song-Can],
A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View
and Missing Multi-Label Learning,
PAMI(44), No. 10, October 2022, pp. 5918-5932.
IEEE DOI
2209
Learning systems, Fish, Data privacy, Video surveillance, Transforms,
Training, Time complexity, Non-aligned incomplete multi-view,
model selection
BibRef
Liu, B.Q.[Bing-Qing],
Jia, B.B.[Bin-Bin],
Zhang, M.L.[Min-Ling],
Towards Enabling Binary Decomposition for Partial Multi-Label
Learning,
PAMI(45), No. 11, November 2023, pp. 13203-13217.
IEEE DOI
2310
BibRef
Deng, X.[Xiang],
Feng, S.[Songhe],
Lyu, G.[Gengyu],
Wang, T.[Tao],
Lang, C.Y.[Cong-Yan],
Beyond Word Embeddings: Heterogeneous Prior Knowledge Driven
Multi-Label Image Classification,
MultMed(25), 2023, pp. 4013-4025.
IEEE DOI
2310
BibRef
Wu, Y.[Yanan],
Feng, S.[Songhe],
Zhao, G.P.[Gong-Pei],
Jin, Y.[Yi],
Transformer Driven Matching Selection Mechanism for Multi-Label Image
Classification,
CirSysVideo(34), No. 2, February 2024, pp. 924-937.
IEEE DOI
2402
Transformers, Semantics, Correlation, Image classification,
Task analysis, Visualization, Computational modeling, attention mechanism
BibRef
You, H.H.[Hai-Hui],
Gu, J.T.[Jun-Tao],
Jing, W.P.[Wei-Peng],
Multi-Label Remote Sensing Image Land Cover Classification Based on a
Multi-Dimensional Attention Mechanism,
RS(15), No. 20, 2023, pp. 4979.
DOI Link
2310
BibRef
Chen, C.[Cheng],
Zhao, Y.F.[Yi-Fan],
Li, J.[Jia],
Semantic Contrastive Bootstrapping for Single-Positive Multi-label
Recognition,
IJCV(131), No. 12, December 2023, pp. 3289-3306.
Springer DOI
2311
BibRef
Liu, Z.M.[Zi-Ming],
Guo, S.[Song],
Guo, J.C.[Jing-Cai],
Xu, Y.Y.[Yuan-Yuan],
Huo, F.[Fushuo],
Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and
Semantic Attention,
MultMed(25), 2023, pp. 7441-7455.
IEEE DOI
2311
BibRef
Zhao, D.W.[Da-Wei],
Gao, Q.W.[Qing-Wei],
Lu, Y.X.[Yi-Xiang],
Sun, D.[Dong],
Non-Aligned Multi-View Multi-Label Classification via Learning
View-Specific Labels,
MultMed(25), 2023, pp. 7235-7247.
IEEE DOI
2311
BibRef
Wu, Y.[Yanan],
Feng, S.[Songhe],
Wang, Y.[Yang],
Semantic-Aware Graph Matching Mechanism for Multi-Label Image
Recognition,
CirSysVideo(33), No. 11, November 2023, pp. 6788-6803.
IEEE DOI Code:
WWW Link.
2311
BibRef
Zhang, P.[Ping],
Liu, G.X.[Gui-Xia],
Gao, W.[Wanfu],
Song, J.Z.[Jia-Zhi],
Multi-label feature selection considering label supplementation,
PR(120), 2021, pp. 108137.
Elsevier DOI
2109
Multi-label learning, Multi-label feature selection,
Information theory, Label relationships
BibRef
Zhang, P.[Ping],
Liu, G.X.[Gui-Xia],
Song, J.Z.[Jia-Zhi],
MFSJMI: Multi-label feature selection considering join mutual
information and interaction weight,
PR(138), 2023, pp. 109378.
Elsevier DOI
2303
Multi-label learning, Multi-label feature selection,
Information theory, Underlying assumptions
BibRef
Hao, P.T.[Ping-Ting],
Gao, W.[Wanfu],
Hu, L.[Liang],
Embedded feature fusion for multi-view multi-label feature selection,
PR(157), 2025, pp. 110888.
Elsevier DOI
2409
Multi-view learning, Multi-label learning, Feature selection, Feature fusion
BibRef
Liu, Y.H.[Ya-Hui],
Pang, Y.Z.[Yu-Zhu],
Han, Y.J.[Yu-Jun],
Li, Y.H.[Yong-Hao],
Gao, W.[Wanfu],
Multi-label feature selection considering candidate space internal
information,
PR(178), 2026, pp. 113416.
Elsevier DOI
2605
Feature selection, Information theory, Candidate feature space,
BibRef
Chen, J.M.[Jia-Ming],
Zhang, P.[Ping],
Li, Y.H.[Yong-Hao],
Gao, W.[Wanfu],
Graph-fusion guided data reconstruction for multi-view multi-label
feature selection,
PR(179), 2026, pp. 113692.
Elsevier DOI
2606
Multi-view multi-label learning, Feature selection,
Manifold learning, Graph fusion
BibRef
Zhao, D.W.[Da-Wei],
Li, H.[Hong],
Lu, Y.X.[Yi-Xiang],
Sun, D.[Dong],
Gao, Q.W.[Qing-Wei],
An effective bipartite graph fusion and contrastive label correlation
for multi-view multi-label classification,
PR(162), 2025, pp. 111430.
Elsevier DOI
2503
Multi-view multi-label learning, Bipartite graph fusion,
Soft label, Contrastive label correlation
BibRef
Liu, C.L.[Cheng-Liang],
Wen, J.[Jie],
Xu, Y.[Yong],
Zhang, B.[Bob],
Nie, L.Q.[Li-Qiang],
Zhang, M.[Min],
Reliable Representation Learning for Incomplete Multi-View Missing
Multi-Label Classification,
PAMI(47), No. 6, June 2025, pp. 4940-4956.
IEEE DOI
2505
Multi label classification, Correlation, Reliability,
Contrastive learning, Feature extraction,
quality discrimination learning
See also Learning Dual Low-Rank Representation for Multi-Label Micro-Video Classification.
BibRef
Liu, Y.D.[Ya-Dong],
Liu, C.L.[Cheng-Liang],
Wen, J.[Jie],
Shen, L.[Li],
Zhang, B.[Bob],
Xu, Y.[Yong],
Learning Compact Semantic Information and Reliable Pseudo-Labels for
Incomplete Multi-View Multi-Label Classification,
PAMI(48), No. 7, July 2026, pp. 7575-7589.
IEEE DOI
2606
Multi label classification, Uncertainty, Semantics, Training,
Representation learning, Accuracy, Reliability theory, Redundancy,
evidential deep learning
BibRef
Wen, J.[Jie],
Zhao, L.[Lian],
Lu, X.H.[Xiao-Huan],
Liu, C.L.[Cheng-Liang],
Shen, L.[Li],
Huang, C.[Chao],
Xu, Y.[Yong],
Disentangling Consistent and Specific Information for Double
Incomplete Multi-View Multi-Label Classification,
PAMI(48), No. 7, July 2026, pp. 7307-7320.
IEEE DOI
2606
Feature extraction, Multi label classification, Data mining,
Transformers, Matrix decomposition, Data models,
incomplete multi-view multi-label classification
BibRef
Chen, J.R.[Jia-Rui],
Wang, M.Q.[Meng-Qing],
Guo, T.[Tong],
Lu, X.H.[Xiao-Huan],
Tian, Y.L.[You-Liang],
Label-Guided Masking and Imputation Network for Incomplete Multi-View
Multi-Label Classification,
CirSysVideo(36), No. 10, October 2026, pp. 15141-15158.
IEEE DOI
2610
Labeling, Modeling, Multi label classification, Imputation,
Correlation, Training, Matrices, Testing,
masked autoencoder
BibRef
Xie, W.[Wulin],
Zhao, L.[Lian],
Long, J.[Jiang],
Lu, X.H.[Xiao-Huan],
Nie, B.Y.[Bing-Yan],
Multi-View Factorizing and Disentangling: A Novel Framework for
Incomplete Multi-View Multi-Label Classification,
WACV25(1914-1923)
IEEE DOI
2505
Representation learning, Uncertainty, Redundancy,
Multi label classification, Manuals, Semisupervised learning.
BibRef
Wen, J.[Jie],
Long, J.[Jiang],
Lu, X.H.[Xiao-Huan],
Liu, C.L.[Cheng-Liang],
Fang, X.Z.[Xiao-Zhao],
Xu, Y.[Yong],
Partial Multiview Incomplete Multilabel Learning via
Uncertainty-Driven Reliable Dynamic Fusion,
PAMI(48), No. 1, January 2026, pp. 236-250.
IEEE DOI
2512
Reliability, Training, Uncertainty, Matrix decomposition,
Predictive models, Multi label classification,
multiview uncertainty
BibRef
Wang, Y.M.[Yi-Ming],
Li, Q.[Qun],
Chang, D.X.[Dong-Xia],
Wen, J.[Jie],
Xiao, F.[Fu],
Zhao, Y.[Yao],
A Category-Driven Contrastive Recovery Network for Double Incomplete
Multi-View Multi-Label Classification,
MultMed(27), 2025, pp. 4008-4017.
IEEE DOI
2507
Contrastive learning, Multi label classification, Representation learning,
Data models, Transformers, semi-supervised contrastive learning
BibRef
Lu, X.H.[Xiao-Huan],
Long, J.[Jiang],
Zhang, H.T.[Hai-Tao],
Xie, W.[Wulin],
Zhao, L.[Lian],
Ye, Y.H.[Ying-Hao],
Wen, J.[Jie],
Partial Multi-View Incomplete Multi-Label Learning Network With
Quality-Aware Representation Fusion,
CirSysVideo(35), No. 11, November 2025, pp. 11186-11199.
IEEE DOI
2511
Feature extraction, Multi label classification,
Matrix decomposition, Data mining, Semantics, Training, Symbols,
structural consistency
BibRef
Wen, J.[Jie],
Zhou, J.Y.[Jia-Ying],
Lu, X.H.[Xiao-Huan],
Tian, Y.L.[You-Liang],
Zhang, Z.[Zheng],
Shen, L.[Li],
Xu, Y.[Yong],
Multi-Domain Feature Integration Based Trusted Partial Multi-View
Incomplete Multi-Label Learning,
PAMI(48), No. 10, October 2026, pp. 11700-11715.
IEEE DOI
2609
Labeling, Modeling, Uncertainty, Multi label classification, Bismuth,
Business intelligence, Modules (abstract algebra),
uncertainty learning
See also Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering.
BibRef
Yan, X.[Xu],
Yin, J.[Jun],
Wen, J.[Jie],
Incomplete Multi-View Multi-Label Learning via Disentangled
Representation and Label Semantic Embedding,
CVPR25(30722-30731)
IEEE DOI
2508
Upper bound, Soft sensors, Semantics,
Disentangled representation learning, Training data,
Mutual information
BibRef
Xiao, X.Y.[Xin-Yu],
Qi, S.H.[Shu-Han],
Wu, Y.L.[Yu-Lin],
Chen, B.[Bin],
Xing, C.[Chao],
Wang, X.[Xuan],
Dual Feature Fusion for Incomplete Multi-View Multi-Label Learning,
MultMed(28), 2026, pp. 1329-1341.
IEEE DOI
2603
Semantics, Multi label classification, Feature extraction,
Contrastive learning, Correlation, Heat maps, Entropy, Data mining,
mutual information
BibRef
Wu, L.[Lian],
Zheng, K.[Kaihua],
Xie, Y.[Yazi],
Cheng, Z.T.[Zheng-Ting],
Cui, J.R.[Jin-Rong],
Consistency-diversity trade-off and label-guided learning for
double-incomplete multi-view multi-label classification,
PR(178), 2026, pp. 113391.
Elsevier DOI
2605
Incomplete multi-view missing multi-label classification,
Multi-view learning, Multi-label learning, Cross-view information fusion
BibRef
Duan, K.[Kaibo],
Shinnou, H.[Hiroyuki],
Bao, S.[Shi],
Variational inference framework for partial multi-view multi-label
representation learning,
PR(179), 2026, pp. 113742.
Elsevier DOI
2606
Partial multi-view learning, Multi-label classification,
Variational inference, Mutual information
BibRef
Peng, C.[Cheng],
Li, Y.H.[Yong-Hao],
Gao, W.[Wanfu],
Wen, J.[Jie],
Ding, W.P.[Wei-Ping],
SEHFS: Structural Entropy-Guided High-Order Correlation Learning for
Multi-View Multi-Label Feature Selection,
IP(35), 2026, pp. 10972-10986.
IEEE DOI
2610
Labeling, Feature extraction, Matrices, Entropy, Optimization,
Correlation, Trees (botanical), Vegetation, structural entropy
BibRef
Ou, S.L.[Shi-Long],
Xue, Z.[Zhe],
Li, Y.W.[Ya-Wen],
Liang, M.[Meiyu],
Cai, Y.Q.[Yuan-Qiang],
Wu, J.J.[Jun-Jiang],
View-Category Interactive Sharing Transformer for Incomplete
Multi-View Multi-Label Learning,
CVPR24(27457-27466)
IEEE DOI
2410
Learning systems, Uncertainty, Computational modeling, Manuals,
Gaussian distribution, multi-view learning
BibRef
Kim, Y.[Youngwook],
Kim, J.M.[Jae Myung],
Jeong, J.[Jieun],
Schmid, C.[Cordelia],
Akata, Z.[Zeynep],
Lee, J.[Jungwoo],
Bridging the Gap Between Model Explanations in Partially Annotated
Multi-Label Classification,
CVPR23(3408-3417)
IEEE DOI
2309
BibRef
Kobayashi, T.[Takumi],
Two-Way Multi-Label Loss,
CVPR23(7476-7485)
IEEE DOI
2309
BibRef
Zhang, S.[Shu],
Xu, R.[Ran],
Xiong, C.M.[Cai-Ming],
Ramaiah, C.[Chetan],
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning
Framework,
CVPR22(16639-16648)
IEEE DOI
2210
Representation learning, Codes, Speech recognition, Task analysis,
Standards, Representation learning, Recognition: detection,
Transfer/low-shot/long-tail learning
BibRef
Maeda, K.[Keisuke],
Takahashi, S.[Sho],
Ogawa, T.[Takahiro],
Haseyama, M.[Miki],
Feature Integration Via Geometrical Supervised Multi-View Multi-Label
Canonical Correlation For Incomplete Label Assignment,
ICIP20(46-50)
IEEE DOI
2011
Correlation, Linear programming, Training, Covariance matrices,
Visualization, Semantics, Task analysis, Incomplete label,
canonical correlation.
BibRef
Abdelfattah, R.[Rabab],
Guo, Q.[Qing],
Li, X.G.[Xiao-Guang],
Wang, X.F.[Xiao-Feng],
Wang, S.[Song],
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image
Classification,
ICCV23(1348-1357)
IEEE DOI
1806
BibRef
Abdelfattah, R.[Rabab],
Zhang, X.[Xin],
Wu, Z.Y.[Zhen-Yao],
Wu, X.Y.[Xin-Yi],
Wang, X.F.[Xiao-Feng],
Wang, S.[Song],
Plmcl: Partial-label Momentum Curriculum Learning for Multi-label Image
Classification,
LLID22(39-55).
Springer DOI
2304
BibRef
Zhang, M.Y.[Meng-Ying],
Li, C.S.[Chang-Sheng],
Wang, X.F.[Xiang-Feng],
Multi-View Metric Learning for Multi-Label Image Classification,
ICIP19(2134-2138)
IEEE DOI
1910
Multi-label image classification, distance metric learning, multi-view learning
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Classifier, Performance Evaluation, Errors, Comparisons .