Shide Du

Orcid: 0000-0002-6354-4705

According to our database1, Shide Du authored at least 32 papers between 2021 and 2025.

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Bibliography

2025
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing.
CoRR, August, 2025

LargeMvC-Net: Anchor-based Deep Unfolding Network for Large-scale Multi-view Clustering.
CoRR, July, 2025

Scalable multi-modal representation learning networks.
Artif. Intell. Rev., July, 2025

Unsupervised Projected Sample Selector for Active Learning.
IEEE Trans. Big Data, April, 2025

Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

Low-rank tensor learning with projection distance metric for multi-view clustering.
Int. J. Mach. Learn. Cybern., January, 2025

MOAL: Multi-view Out-of-distribution Awareness Learning.
Neural Networks, 2025

Optimization-oriented multi-view representation learning in implicit bi-topological spaces.
Inf. Sci., 2025

Dual prototypes contrastive learning based semi-supervised segmentation method for intelligent medical applications.
Eng. Appl. Artif. Intell., 2025

OpenViewer: Openness-Aware Multi-View Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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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