Shide Du

Orcid: 0000-0002-6354-4705

According to our database1, Shide Du authored at least 21 papers between 2021 and 2024.

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Bibliography

2024
IMPRL-Net: interpretable multi-view proximity representation learning network.
Neural Comput. Appl., August, 2024

GAF-Net: Graph attention fusion network for multi-view semi-supervised classification.
Expert Syst. Appl., March, 2024

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics.
IEEE Trans. Signal Inf. Process. over Networks, 2024

Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View.
IEEE Trans. Multim., 2024

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity.
IEEE Trans. Image Process., 2024

Graph Convolutional Network with elastic topology.
Pattern Recognit., 2024

Multi-view semi-supervised classification via auto-weighted submarkov random walk.
Expert Syst. Appl., 2024

Beyond the Known: Ambiguity-Aware Multi-view Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Multi-view clustering via optimal transport algorithm.
Knowl. Based Syst., 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

DBO-Net: Differentiable bi-level optimization network for multi-view clustering.
Inf. Sci., May, 2023

Multi-Channel Augmented Graph Embedding Convolutional Network for Multi-View Clustering.
IEEE Trans. Netw. Sci. Eng., 2023

Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering.
IEEE Trans. Multim., 2023

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

DMRL-Net: Differentiable Multi-view Representation Learning Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
An Overview of Correlation-Filter-Based Object Tracking.
IEEE Trans. Comput. Soc. Syst., 2022

Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Contrastive Consensus Graph Learning for Multi-View Clustering.
IEEE CAA J. Autom. Sinica, 2022

2021
Differentiable Bi-Sparse Multi-View Co-Clustering.
IEEE Trans. Signal Process., 2021

FMixAugment for Semi-supervised Learning with Consistency Regularization.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021


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