Shide Du

According to our database, Shide Du authored at least 45 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Be Reliable: An Interpretable Attribute-Oriented Representation Learning Framework.

Zihan Fang, Shide Du, Ying Zou, Yanchao Tan, Na Song, Shiping Wang

IEEE Trans. Neural Networks Learn. Syst., March, 2026

An Explainable and Flexible Plug-and-Play Multi-View Representation Learning Network.

Shide Du, Zihan Fang, Zhaoliang Chen, Ying Zou, Aiping Huang

IEEE Trans. Netw. Sci. Eng., 2026

Interpretable Multi-View Representation Learning Towards Complex Scenes: From Homogeneity to Heterogeneity.

Ying Zou, Zihan Fang, Shide Du, Yilin Wu, Hong Zhao, Shiping Wang

IEEE Trans. Multim., 2026

SOI-Net: Structural Optimization-Inspired Interpretable Network for Incomplete Multi-View Clustering.

Chunming Wu, Zihan Fang, Zhiling Cai, Shide Du, Wei Huang, Jinbo Li, Shiping Wang

IEEE Trans. Multim., 2026

An interpretable deep unfolding framework for multi-view representation learning.

Shide Du, Zhenghong Lin, Zihan Fang, Yiqing Shi, Shiping Wang

Inf. Fusion, 2026

DIN: Dual Impulse Network for Multi-view Representation Learning.

Yilin Wu, Weihong Lin, Renjie Lin, Zihan Fang, Shide Du, Shiping Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network.

Renjie Lin, Hongzhi He, Yilin Wu, Shide Du, Le Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning.

Weiran Liao, Jielong Lu, Yuhong Chen, Shide Du, Hongrong Chen, Shiping Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Universal Interpretable Multiview Clustering Framework: From Homogeneity to Heterogeneity.

Chunming Wu, Zihan Fang, Shide Du, Shiping Wang

IEEE Trans. Comput. Soc. Syst., October, 2025

Scalable multi-modal representation learning networks.

Zihan Fang, Ying Zou, Shiyang Lan, Shide Du, Yanchao Tan, Shiping Wang

Artif. Intell. Rev., July, 2025

Unsupervised Projected Sample Selector for Active Learning.

Yueyang Pi, Yiqing Shi, Shide Du, Yang Huang, Shiping Wang

IEEE Trans. Big Data, April, 2025

Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck.

Luying Zhong, Zhaoliang Chen, Zhihao Wu, Shide Du, Zheyi Chen, Shiping Wang

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Low-rank tensor learning with projection distance metric for multi-view clustering.

Sujia Huang, Lele Fu, Shide Du, Zhihao Wu, Athanasios V. Vasilakos, Shiping Wang

Int. J. Mach. Learn. Cybern., January, 2025

MBGCN: Multi-View Block-Wise Graph Convolutional Networks on Large-Scale Graphs.

Zhiyong Xu, Yuhong Chen, Ying Zou, Shide Du, Yan Chen, Shiping Wang

IEEE Trans. Image Process., 2025

MOAL: Multi-view Out-of-distribution Awareness Learning.

Xuzheng Wang, Zihan Fang, Shide Du, Wenzhong Guo, Shiping Wang

Neural Networks, 2025

Optimization-oriented multi-view representation learning in implicit bi-topological spaces.

Shiyang Lan, Shide Du, Zihan Fang, Zhiling Cai, Wei Huang, Shiping Wang

Inf. Sci., 2025

Dual prototypes contrastive learning based semi-supervised segmentation method for intelligent medical applications.

Tianai Yue, Rongtao Xu, Jingqian Wu, Wenjie Yang, Shide Du, Changwei Wang

Eng. Appl. Artif. Intell., 2025

OIMGC-Net: Optimization-inspired Interpretable Multi-view Graph Clustering Network.

Renjie Lin, Jiacheng Li, Shide Du, Shiping Wang, Le Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

Zihan Fang, Zhiyong Xu, Lan Du, Shide Du, Zhiling Cai, Shiping Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

Shide Du, Chunming Wu, Zihan Fang, Wendi Zhao, Yilin Wu, Changwei Wang, Shiping Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs.

Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Constraint-Aware Multi-View Clustering via Graph Contrastive Learning.

Zhengnan Chen, Chunming Wu, Zihan Fang, Shide Du, Ping Fan, Shiping Wang

Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

OpenViewer: Openness-Aware Multi-View Learning.

Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition.

Changwei Wang, Shunpeng Chen, Yukun Song, Rongtao Xu, Zherui Zhang, Jiguang Zhang, Haoran Yang, Yu Zhang, Kexue Fu, Shide Du, Zhiwei Xu, Longxiang Gao, Li Guo, Shibiao Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

IMPRL-Net: interpretable multi-view proximity representation learning network.

Shiyang Lan, Zihan Fang, Shide Du, Zhiling Cai, Shiping Wang

Neural Comput. Appl., August, 2024

GAF-Net: Graph attention fusion network for multi-view semi-supervised classification.

Na Song, Shide Du, Zhihao Wu, Luying Zhong, Laurence T. Yang, Jing Yang, Shiping Wang

Expert Syst. Appl., March, 2024

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics.

Sujia Huang, Shide Du, Lele Fu, Zhihao Wu, Shiping Wang

IEEE Trans. Signal Inf. Process. over Networks, 2024

Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View.

Zihan Fang, Shide Du, Zhiling Cai, Shiyang Lan, Chunming Wu, Yanchao Tan, Shiping Wang

IEEE Trans. Multim., 2024

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity.

Shide Du, Zhiling Cai, Zhihao Wu, Yueyang Pi, Shiping Wang

IEEE Trans. Image Process., 2024

Graph Convolutional Network with elastic topology.

Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang

Pattern Recognit., 2024

Multi-view semi-supervised classification via auto-weighted submarkov random walk.

Weibin Chen, Zhengyang Cai, Pengfei Lin, Yang Huang, Shide Du, Wenzhong Guo, Shiping Wang

Expert Syst. Appl., 2024

Beyond the Known: Ambiguity-Aware Multi-view Learning.

Zihan Fang, Shide Du, Yuhong Chen, Shiping Wang

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.

Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo

Knowl. Based Syst., November, 2023

Consistent graph embedding network with optimal transport for incomplete multi-view clustering.

Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo

Inf. Sci., November, 2023

CCR-Net: Consistent contrastive representation network for multi-view clustering.

Renjie Lin, Yongkun Lin, Zhenghong Lin, Shide Du, Shiping Wang

Inf. Sci., August, 2023

DBO-Net: Differentiable bi-level optimization network for multi-view clustering.

Zihan Fang, Shide Du, Xincan Lin, Jinbin Yang, Shiping Wang, Yiqing Shi

Inf. Sci., May, 2023

Multi-Channel Augmented Graph Embedding Convolutional Network for Multi-View Clustering.

Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo

IEEE Trans. Netw. Sci. Eng., 2023

Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering.

Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, Shiping Wang

IEEE Trans. Multim., 2023

Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness.

Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DMRL-Net: Differentiable Multi-view Representation Learning Network.

Zihan Fang, Shide Du, Yaqing Chen, Shiping Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

An Overview of Correlation-Filter-Based Object Tracking.

Shide Du, Shiping Wang

IEEE Trans. Comput. Soc. Syst., 2022

Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification.

Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Contrastive Consensus Graph Learning for Multi-View Clustering.

Shiping Wang, Xincan Lin, Zihan Fang, Shide Du, Guobao Xiao

IEEE CAA J. Autom. Sinica, 2022

2021

Differentiable Bi-Sparse Multi-View Co-Clustering.

Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, Shiping Wang

IEEE Trans. Signal Process., 2021

FMixAugment for Semi-supervised Learning with Consistency Regularization.

Huibin Lin, Shiping Wang, Zhanghui Liu, Shunxin Xiao, Shide Du, Wenzhong Guo

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021