Multi-view learning overview: Recent progress and new challenges

Cited by (999)

Items 201–300 of 999

1. Multi-view Consensus Proximity Learning for Clustering
   Baoyu Liu, Ling Huang, Chang‐Dong Wang, Jianhuang Lai, Philip S. Yu · 2020 · IEEE Transactions on Knowledge and Data Engineering
2. Multi-view document clustering based on geometrical similarity measurement
   Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Ahmed Saad Hussein · 2021 · International Journal of Machine Learning and Cybernetics
3. Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview
   Chenfeng Guo, Dongrui Wu · 2019 · arXiv (Cornell University)
4. Multi-view clustering via joint feature selection and partially constrained cluster label learning
   Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li · 2019 · Pattern Recognition
5. Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis
   Tianle Ma, Aidong Zhang · 2018 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
6. Twitter User Geolocation Using Deep Multiview Learning
   Tien Huu, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis · 2018 · IEEE International Conference on Acoustics Speech and Signal Processing
7. Dynamic maintenance of rough approximations in multi-source hybrid information systems
   Yanyong Huang, Tianrui Li, Chuan Luo, Hamido Fujita, Shi‐Jinn Horng, Bin Wang · 2020 · Information Sciences
8. Attributed heterogeneous network fusion via collaborative matrix tri-factorization
   Guoxian Yu, Yuehui Wang, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang · 2020 · Information Fusion
9. Microdissection—An Essential Prerequisite for Spatial Cancer Omics
   Ferdinand von Eggeling, Franziska S. Hoffmann · 2020 · PROTEOMICS
10. Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning
    Yue Zhang, Qinjian Huang, Bin Zhang, Shengfeng He, Tingting Dan, Hong Peng, Hongmin Cai · 2021 · IEEE Transactions on Cybernetics
11. Contrastive and adversarial regularized multi-level representation learning for incomplete multi-view clustering
    Haiyue Wang, Wensheng Zhang, Xiaoke Ma · 2024 · Neural Networks
12. Unsupervised Multiview Nonnegative Correlated Feature Learning for Data Clustering
    Liang Zhao, Zhikui Chen, Z. Jane Wang · 2017 · IEEE Signal Processing Letters
13. Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection
    Annalisa Appice, Giuseppina Andresini, Donato Malerba · 2020 · Journal of Intelligent Information Systems
14. Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation
    Mahla Mokhtia, Mahdi Eftekhari, Farid Saberi-Movahed · 2021 · Knowledge-Based Systems
15. Multi-dimensional Classification via Selective Feature Augmentation
    Bin-Bin Jia, Min-Ling Zhang · 2022 · Machine Intelligence Research
16. Multi-view intuitionistic fuzzy support vector machines with insensitive pinball loss for classification of noisy data
    Chunling Lou, Xijiong Xie · 2023 · Neurocomputing
17. MCoCo: Multi-level Consistency Collaborative multi-view clustering
    Yiyang Zhou, Qinghai Zheng, Yifei Wang, Wenbiao Yan, Pengcheng Shi, Jihua Zhu · 2023 · Expert Systems with Applications
18. Semi-supervised Multi-view Individual and Sharable Feature Learning for Webpage Classification
    Fei Wu, Xiao‐Yuan Jing, Jun Zhou, Yimu Ji, Chao Lan, Qinghua Huang, Ruchuan Wang · 2019 · International World Wide Web Conference (WWW)
19. Multiview Deep Learning for Predicting Twitter Users' Location
    Tien Huu, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis · 2017 · arXiv (Cornell University)
20. Semi-supervised segmentation for construction and demolition waste recognition in-the-wild: Adversarial dual-view networks
    Diani Sirimewan, Mehrtash Tafazzoli Harandi, Himashi Peiris, Mehrdad Arashpour · 2024 · Resources Conservation and Recycling
21. Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes
    Olfa Graa, Islem Rekik · 2019 · Journal of Neuroscience Methods
22. Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations
    Hai-Cheng Yi, Zhu‐Hong You, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan · 2020 · IEEE Transactions on Computational Biology and Bioinformatics
23. Asymmetric Gaussian Process multi-view learning for visual classification
    Jinxing Li, Zhaoqun Li, Guangming Lu, Yong Dong Xu, Bob Zhang, David D. Zhang · 2020 · Information Fusion
24. Ensemble sparse representation-based cyber threat hunting for security of smart cities
    Seyed Mehdi Hazrati Fard, Hadis Karimipour, Ali Dehghantanha, Amir Namavar Jahromi, Gautam Srivastava · 2020 · Computers & Electrical Engineering
25. A Multi-View SVM Approach for Seizure Detection from Single Channel EEG Signals
    Gopal Chandra Jana, Mogullapally Sai Praneeth, Anupam Agrawal · 2021 · IETE Journal of Research
26. An emotion role mining approach based on multiview ensemble learning in social networks
    Yajun Du, Yakun Wang, Jinrong Hu, Xianyong Li, Xiaoliang Chen · 2022 · Information Fusion
27. Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise
    Zongsheng Yue, Hongwei Yong, Deyu Meng, Qian Zhao, Yee Leung, Lei Zhang A · 2019 · IEEE Transactions on Neural Networks and Learning Systems
28. A network embedding based method for partial multi-omics integration in cancer subtyping
    Han Xu, Lin Gao, Mingfeng Huang, Ran Duan · 2020 · Methods
29. Consistency-aware and Inconsistency-aware Graph-based Multi-view Clustering
    Mitsuhiko Horie, Hiroyuki Kasai · 2020 · European Signal Processing Conference (EUSIPCO)
30. A survey on data integration for multi-omics sample clustering
    Marta Lovino, Vincenzo Randazzo, Gabriele Ciravegna, Pietro Barbiero, Elisa Ficarra, Giansalvo Cirrincione · 2021 · Neurocomputing
31. Multi-view learning with privileged weighted twin support vector machine
    Ruxin Xu, Huiru Wang · 2022 · Expert Systems with Applications
32. Incomplete Multiview Nonnegative Representation Learning With Graph Completion and Adaptive Neighbors
    Shiliang Sun, Nan Zhang · 2022 · IEEE Transactions on Neural Networks and Learning Systems
33. Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering
    Xiangnan Liu, Shifei Ding, Xu Xiao, Lijuan Wang · 2022 · Applied Soft Computing
34. Matrix-based multi-granulation fusion approach for dynamic updating of knowledge in multi-source information
    Xiaoyan Zhang, Xudong Huang, Weihua Xu · 2023 · Knowledge-Based Systems
35. Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction
    Annette Spooner, Mohammad Karimi Moridani, Barbra Toplis, Jason Behary, Azadeh Safarchi, Salim Maher, Fatemeh Vafaee, Amany Zekry, Arcot Sowmya · 2025 · Briefings in Bioinformatics
36. PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering
    Yasin I. Tepeli, Ali Burak Ünal, Furkan Mustafa Akdemir, Öznur Taştan · 2020 · Bioinformatics
37. Scale-space multi-view bag of words for scene categorization
    Davar Giveki · 2020 · Multimedia Tools and Applications
38. Deep low-rank tensor embedding for multi-view subspace clustering
    Zhaohu Liu, Peng Song · 2023 · Expert Systems with Applications
39. Adaptive Sample-Level Graph Combination for Partial Multiview Clustering
    Yang Liu, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li · 2019 · IEEE Transactions on Image Processing
40. Two-step multi-view and multi-label learning with missing label via subspace learning
    Dawei Zhao, Qingwei Gao, Yixiang Lu, Dong Sun · 2021 · Applied Soft Computing
41. Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information
    Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen T. C. Wong, Guang Yang · 2022 · Applied Intelligence
42. Anchor-based multi-view subspace clustering with graph learning
    Chao Su, Haoliang Yuan, Loi Lei Lai, Qiang Yang · 2023 · Neurocomputing
43. Robust Spectral Embedding Completion Based Incomplete Multi-view Clustering
    Chao Zhang, Jingwen Wei, Bo Wang, Zechao Li, Chunlin Chen, Huaxiong Li · 2023 · ACM International Conference on Multimedia (ACM MM)
44. Shared Linear Encoder-Based Multikernel Gaussian Process Latent Variable Model for Visual Classification
    Jinxing Li, Guangming Lu, Bob Zhang, Jane You, David D. Zhang · 2019 · IEEE Transactions on Cybernetics
45. Multimodal deep generative adversarial models for scalable doubly semi-supervised learning
    Changde Du, Changying Du, Huiguang He · 2020 · Information Fusion
46. Deep Tensor CCA for Multi-view Learning
    Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng · 2021 · IEEE Transactions on Big Data
47. Multi-dimensional clustering through fusion of high-order similarities
    Hong Peng, Haiyan Wang, Yu Hu, Weiwei Zhou, Hongmin Cai · 2021 · Pattern Recognition
48. Robust graph-based multi-view clustering in latent embedding space
    Yanying Mei, Zhenwen Ren, Bin Wu, Yanhua Shao, Tao Yang · 2021 · International Journal of Machine Learning and Cybernetics
49. Incomplete multiview nonnegative representation learning with multiple graphs
    Nan Zhang, Shiliang Sun · 2021 · Pattern Recognition
50. Stacked penalized logistic regression for selecting views in multi-view learning
    Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij · 2020 · Information Fusion
51. Multi-view spectral clustering with latent representation learning for applications on multi-omics cancer subtyping
    Shuguang Ge, Jian Liu, Yuhu Cheng, Xiaojing Meng, Xuesong Wang · 2022 · Briefings in Bioinformatics
52. Deep learning on multi-view sequential data: a survey
    Zhuyang Xie, Yan Zhu Yang, Yiling Zhang, Jie Wang, Shengdong Du · 2022 · Artificial Intelligence Review
53. Graph-guided imputation-free incomplete multi-view clustering
    Shunshun Bai, Qinghai Zheng, Xiaojin Ren, Jihua Zhu · 2024 · Expert Systems with Applications
54. Simultaneously learning feature-wise weights and local structures for multi-view subspace clustering
    Shixun Lin, Guo Zhong, Ting Shu · 2020 · Knowledge-Based Systems
55. Robust moving object detection based on fusing Atanassov's Intuitionistic 3D Fuzzy Histon Roughness Index and texture features
    Davar Giveki · 2021 · International Journal of Approximate Reasoning
56. An efficient dictionary-based multi-view learning method
    Bo Liu, Xiaodong Chen, Yanshan Xiao, Weibin Li, Laiwang Liu, Changdong Liu · 2021 · Information Sciences
57. Generalized multi-view learning based on generalized eigenvalues proximal support vector machines
    Xijiong Xie, Yu-Jie Xiong · 2022 · Expert Systems with Applications
58. Large-Scale Multi-View Clustering via Fast Essential Subspace Representation Learning
    Qinghai Zheng · 2022 · IEEE Signal Processing Letters
59. HVAE: A deep generative model via hierarchical variational auto-encoder for multi-view document modeling
    Ruina Bai, Ruizhang Huang, Yongbin Qin, Yanping Chen, Chuan Lin · 2022 · Information Sciences
60. Multi-view universum support vector machines with insensitive pinball loss
    Chunling Lou, Xijiong Xie · 2024 · Expert Systems with Applications
61. CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection
    Shudong Huang, Ivor Wai-Hung Tsang, Zenglin Xu, Jiancheng Lv, Quan-Hui Liu · 2021 · ACM International Conference on Multimedia (ACM MM)
62. A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection
    Yu Wang, Chuan Chen, Jinrong Lai, Lele Fu, Yuren Zhou, Zibin Zheng · 2022 · ACM Transactions on Knowledge Discovery from Data
63. Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
    KyungTae Lim, Jay Yoon Lee, Jaime Carbonell, Thierry Poibeau · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
64. Learning to fuse local geometric features for 3D rigid data matching
    Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, Zhiguo Cao · 2020 · Information Fusion
65. Multiview Feature Selection With Information Complementarity and Consensus for Fault Diagnosis
    Gang Wang, Feng Zhang, Zhaojian Li · 2023 · IEEE Transactions on Systems Man and Cybernetics Systems
66. Deep Incomplete Multi-View Learning Network with Insufficient Label Information
    Zhangqi Jiang, Tingjin Luo, Xinyan Liang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
67. Multi-View Aggregation Network for Dichotomous Image Segmentation
    Qian Yut, Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
68. 3D-Gabor Inspired Multiview Active Learning for Spectral-Spatial Hyperspectral Image Classification
    Jie Hua Hu, Zhi He, Jun Li, Lin He, Yiwen Wang · 2018 · Remote Sensing
69. Multimodal correlation deep belief networks for multi-view classification
    Nan Zhang, Shifei Ding, Hongmei Liao, Weikuan Jia · 2018 · Applied Intelligence
70. Joint low rank embedded multiple features learning for audio–visual emotion recognition
    Zhan Wang, Lizhi Wang, Hua Huang · 2020 · Neurocomputing
71. Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data
    Wenzhang Zhuge, Hong Tao, Tingjin Luo, Ling‐Li Zeng, Chenping Hou, Dongyun Yi · 2020 · IEEE Transactions on Knowledge and Data Engineering
72. Label driven latent subspace learning for multi-view multi-label classification
    Wei Liu, Jiazheng Yuan, Gengyu Lyu, Songhe Feng · 2022 · Applied Intelligence
73. Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm
    Shaolong Sun, Mingchen Li, Shouyang Wang, Chengyuan Zhang · 2022 · Expert Systems with Applications
74. Learning From Heterogeneous Data Based on Social Interactions Over Graphs
    Virgı́nia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed · 2022 · IEEE Transactions on Information Theory
75. Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning
    Haiyan Wang, Guoqiang Han, Junyu Li, Bin Zhang, Jiazhou Chen, Yu Hu, Chu Han, Hongmin Cai · 2021 · Information Sciences
76. Hierarchical Multiview Top-k Pooling With Deep-Q-Networks
    Zhipeng Li, Hailong Su, Yong Wu, Qinhu Zhang, Changan Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang · 2023 · IEEE Transactions on Artificial Intelligence
77. Multiview Variational Sparse Gaussian Processes
    Liang Mao, Shiliang Sun · 2020 · IEEE Transactions on Neural Networks and Learning Systems
78. A New Era of Neuro-Oncology Research Pioneered by Multi-Omics Analysis and Machine Learning
    Satoshi Takahashi, Masamichi Takahashi, Shota Tanaka, Shunsaku Takayanagi, Hirokazu Takami, Erika Yamazawa, Shohei Nambu, Mototaka Miyake, Kaishi Satomi, Koichi Ichimura et al. · 2021 · Biomolecules
79. Robust Adaptive-weighting Multi-view Classification
    Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
80. Selecting and combining complementary feature representations and classifiers for hate speech detection
    Rafael M. O. Cruz, Woshington V. de Sousa, George D. C. Cavalcanti · 2022 · Online Social Networks and Media
81. JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction
    Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba · 2023 · IEEE Transactions on Services Computing
82. Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect
    José Daniel Pascual-Triana, David Charte, Marta Andrés Arroyo, Alberto Fernández, Francisco Herrera · 2021 · Knowledge and Information Systems
83. Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images
    Giovanna Castellano, Ciro Castiello, Marco Cianciotta, Corrado Mencar, Gennaro Vessio · 2020 · Lecture notes in computer science
84. Multiview learning with twin parametric margin SVM
    A. Quadir, M. Tanveer · 2024 · Neural Networks
85. A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges
    Kamal Berahmand, Fatemeh Daneshfar, Maryam Rahmaninia, Maryam Haghighat, Mahdi Jalili · 2025 · ACM Transactions on Intelligent Systems and Technology
86. Hybrid neural conditional random fields for multi-view sequence labeling
    Xuli Sun, Shiliang Sun, Minzhi Yin, Hao Yang · 2019 · Knowledge-Based Systems
87. Adversarial robustness and attacks for multi-view deep models
    Xuli Sun, Shiliang Sun · 2020 · Engineering Applications of Artificial Intelligence
88. Robust multi-view discriminant analysis with view-consistency
    Xiangfei Yang, Chun‐Na Li, Yuan‐Hai Shao · 2022 · Information Sciences
89. Efficient Multiview Representation Learning With Correntropy and Anchor Graph
    Nan Zhang, Xiaoqin Zhang, Shiliang Sun · 2023 · IEEE Transactions on Knowledge and Data Engineering
90. Structure-aware multi-view image inpainting using dual consistency attention
    Hongyue Xiang, Weidong Min, Qing Han, Cheng Zha, Qian Liu, Meng Si Zhu · 2023 · Information Fusion
91. Deep Multi-view Sparse Subspace Clustering
    Xiaoliang Tang, Xuan Tang, Wanli Wang, Li Fang, Xian Wei · 2018 · International Conference Network, Communication and Computing
92. Majority Voting Based Multi-Task Clustering of Air Quality Monitoring Network in Turkey
    Göksu Tüysüzoğlu, Derya Birant, Ayşegül Pala · 2019 · Applied Sciences
93. Globality Meets Locality: An Anchor Graph Collaborative Learning Framework for Fast Multiview Subspace Clustering
    Jipeng Guo, Yanfeng Sun, Xin Ma, Junbin Gao, Yongli Hu, Youqing Wang, Baocai Yin · 2025 · IEEE Transactions on Neural Networks and Learning Systems
94. Triplets-based large-scale multi-view spectral clustering
    Tianchuan Yang, Chang‐Dong Wang, Jipeng Guo, Xiangcheng Li, Man-Sheng Chen, Shuping Dang, Haiqiang Chen · 2025 · Information Fusion
95. Retaining Privileged Information for Multi-Task Learning
    Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-wei H. Lehman · 2019 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
96. Multi-view based integrative analysis of gene expression data for identifying biomarkers
    Ziyi Yang, Xiaoying Liu, Jun Shu, Hui Zhang, Yanqiong Ren, Zongben Xu, Yong Qi Liang · 2019 · Scientific Reports
97. From Weakly Supervised Learning to Biquality Learning: an Introduction
    Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou · 2021 · International Joint Conference on Neural Networks (IJCNN)
98. Adaptive partial graph learning and fusion for incomplete multi‐view clustering
    Xiao Zheng, Xinwang Liu, Jiajia Chen, En Zhu · 2021 · International Journal of Intelligent Systems
99. Multi-Channel Augmented Graph Embedding Convolutional Network for Multi-View Clustering
    Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo · 2023 · IEEE Transactions on Network Science and Engineering
100. Multi-View Diffusion Process for Spectral Clustering and Image Retrieval
     Qilin Li, Senjian An, Ling Li, Wanquan Liu, Yanda Shao · 2023 · IEEE Transactions on Image Processing