💡 Multi-view Learning

INF

Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning,
Zhaoliang Chen, Lele Fu, Jie Yao, Wenzhong Guo, Claudia Plant, Shiping Wang
Information Fusion, Volume 95, Pages 109-119, 2023. (SCI Q1, ESI Highly Cited) | [code]

IEEE TPAMI

Learning Deep Sparse Regularizers With Applications to Multi-View Clustering,
Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 44(12), Pages 9124-9138, 2022. (CCF A, SCI Q1) | [code]

TKDD

Multi-view Graph Convolutional Networks with Differentiable Node Selection,
Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo
ACM Transactions on Knowledge Discovery from Data, Volume 18(1), Pages 1-21, 2023. (CCF B, SCI Q1)

[IEEE TMM] Generative Essential Graph Convolutional Network for Multi-view Semi-supervised Classification,
Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, Shiping Wang
IEEE Transactions on Multimedia, Volume 26, Pages 7987-7999, 2024. (CCF B, SCI Q1) | [code]

[BMC Genomics] DeepMoIC: multi-omics data integration via deep graph convolutional networks for cancer subtype classification,
Jiecheng Wu, Zhaoliang Chen, Shunxin Xiao, Genggeng Liu, Wenjie Wu, Shiping Wang
BMC Genomics, Volume 25, 2024. (SCI Q2)

[ESWA] Multi-scale structure-guided graph generation for multi-view semi-supervised classification,
Yilin Wu, Zhaoliang Chen, Ying Zou, Shiping Wang, Wenzhong Guo
Expert Systems with Applications, Volume 237, Page 125677, 2025. (CCF C, SCI Q1)

[INS] 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
Information Sciences, Page 120769, 2024. (CCF B, SCI Q1)

[NN] Joint learning of feature and topology for multi-view graph convolutional network,
Yuhong Chen, Zhihao Wu, Zhaoliang Chen, Mianxiong Dong, Shiping Wang
Neural Networks, Volume 168, Pages 161-170, 2023. (CCF B, SCI Q1) | [code]

[IEEE TMM] Interpretable Graph Convolutional Network for Multi-View Semi-Supervised Learning,
Zhihao Wu, Xincan Lin, Zhenghong Lin, Zhaoliang Chen, Yang Bai, Shiping Wang
IEEE Transactions on Multimedia, Volume 25, Pages 8593-8606, 2023. (CCF B, SCI Q1) | [code]

[IEEE TMM] Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering,
Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, Shiping Wang
IEEE Transactions on Multimedia, Volume 25, Pages 9203-9215, 2023. (CCF B, SCI Q1) | [code]

[IEEE TMM] Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering,
Lele Fu, Zhaoliang Chen, Yongyong Chen, Shiping Wang
IEEE Transactions on Multimedia, Volume 25, Pages 4972-4985, 2022. (CCF B, SCI Q1)

[INS] Diversity embedding deep matrix factorization for multi-view clustering,
Zexi Chen, Pengfei Lin, Zhaoliang Chen, Dongyi Ye, Shiping Wang
Information Sciences, Volume 610, Pages 114-125, 2022. (CCF B, SCI Q1)

[ICME 2021] Multi-View Learning Via Low-Rank Tensor Optimization,
Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, Shiping Wang
IEEE International Conference on Multimedia and Expo, Pages 1-6, 2021. (CCF B)

[IEEE TSP] Differentiable bi-Sparse multi-view co-clustering,
Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, Shiping Wang
IEEE Transactions on Signal Processing, Volume 69, Pages 4623-4636, 2021. (CCF B, SCI Q1)