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Shide Du

Showing results (1-10 of 6) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|May 21, 2021
Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised ClassificationShiping Wang, Zhaoliang Chen, Shide Du, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 24, 2024
UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and DiversityShide Du, Zhiling Cai, Zhihao Wu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 1, 2025
MOAL: Multi-view Out-of-distribution Awareness LearningXuzheng Wang, Zihan Fang, Shide Du, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 28, 2025
Be Reliable: An Interpretable Attribute-Oriented Representation Learning FrameworkZihan Fang, Shide Du, Ying Zou, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 11, 2025
MBGCN: Multi-View Block-Wise Graph Convolutional Networks on Large-Scale GraphsZhiyong Xu, Yuhong Chen, Ying Zou, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 17, 2023
Learnable Graph Convolutional Network With Semisupervised Graph Information BottleneckLuying Zhong, Zhaoliang Chen, Zhihao Wu, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 21, 2021
Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised ClassificationShiping Wang, Zhaoliang Chen, Shide Du, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 24, 2024
UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and DiversityShide Du, Zhiling Cai, Zhihao Wu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 1, 2025
MOAL: Multi-view Out-of-distribution Awareness LearningXuzheng Wang, Zihan Fang, Shide Du, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 28, 2025
Be Reliable: An Interpretable Attribute-Oriented Representation Learning FrameworkZihan Fang, Shide Du, Ying Zou, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 11, 2025
MBGCN: Multi-View Block-Wise Graph Convolutional Networks on Large-Scale GraphsZhiyong Xu, Yuhong Chen, Ying Zou, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 17, 2023
Learnable Graph Convolutional Network With Semisupervised Graph Information BottleneckLuying Zhong, Zhaoliang Chen, Zhihao Wu, et al.
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