JDC-GCN: joint diversity and consistency graph convolutional network.
Neural Comput. Appl., June, 2025
Conditional selection with CNN augmented transformer for multimodal affective analysis.
CAAI Trans. Intell. Technol., 2024
Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Multi-view clustering via optimal transport algorithm.
Knowl. Based Syst., November, 2023
Label correction using contrastive prototypical classifier for noisy label learning.
Inf. Sci., November, 2023
Consistent graph embedding network with optimal transport for incomplete multi-view clustering.
Inf. Sci., November, 2023
CCR-Net: Consistent contrastive representation network for multi-view clustering.
Inf. Sci., August, 2023
Multi-Channel Augmented Graph Embedding Convolutional Network for Multi-View Clustering.
IEEE Trans. Netw. Sci. Eng., 2023
Deep image clustering by fusing contrastive learning and neighbor relation mining.
Knowl. Based Syst., 2022
Multi-view clustering with graph regularized optimal transport.
Inf. Sci., 2022
Deep clustering by maximizing mutual information in variational auto-encoder.
Knowl. Based Syst., 2020
Social image refinement and annotation via weakly-supervised variational auto-encoder.
Knowl. Based Syst., 2020
Stacked Autoencoder Based Weak Supervision for Social Image Understanding.
IEEE Access, 2019
An Overview of Co-Clustering via Matrix Factorization.
IEEE Access, 2019
Model transferring for unsupervised object localization.
Proceedings of the 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2019
Object Proposal Generation for Unsupervised Object Localization.
Proceedings of the 9th International Symposium on Parallel Architectures, 2018