FMixAugment for Semi-supervised Learning with Consistency Regularization. - Huibin Lin; Shiping Wang; Zhanghui Liu; Shunxin Xiao; Shide Du; Wenzhong Guo (PRCV (2), 2021)

Differentiable Bi-Sparse Multi-View Co-Clustering. - Shide Du; Zhanghui Liu; Zhaoliang Chen; Wenyuan Yang; Shiping Wang (IEEE Trans. Signal Process., 2021)

Contrastive Consensus Graph Learning for Multi-View Clustering. - Shiping Wang; Xincan Lin; Zihan Fang; Shide Du; Guobao Xiao (IEEE CAA J. Autom. Sinica, 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)

An Overview of Correlation-Filter-Based Object Tracking. - Shide Du; Shiping Wang (IEEE Trans. Comput. Soc. Syst., 2022)

DMRL-Net: Differentiable Multi-view Representation Learning Network. - Zihan Fang; Shide Du; Yaqing Chen; Shiping Wang (ICME, 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 (ACM Multimedia, 2023)

Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering. - Shunxin Xiao; Shide Du; Zhaoliang Chen; Yunhe Zhang 001; Shiping Wang (IEEE Trans. Multim., 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)

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., 2023)

CCR-Net: Consistent contrastive representation network for multi-view clustering. - Renjie Lin; Yongkun Lin; Zhenghong Lin; Shide Du; Shiping Wang (Inf. Sci., 2023)

Consistent graph embedding network with optimal transport for incomplete multi-view clustering. - Renjie Lin; Shide Du; Shiping Wang; Wenzhong Guo (Inf. Sci., 2023)

Multi-view clustering via optimal transport algorithm. - Renjie Lin; Shide Du; Shiping Wang; Wenzhong Guo (Knowl. Based Syst., 2023)

Beyond the Known: Ambiguity-Aware Multi-view Learning. - Zihan Fang; Shide Du; Yuhong Chen; Shiping Wang (ACM Multimedia, 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)

Graph Convolutional Network with elastic topology. - Zhihao Wu 003; Zhaoliang Chen; Shide Du; Sujia Huang; Shiping Wang (Pattern Recognit., 2024)

UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity. - Shide Du; Zhiling Cai; Zhihao Wu 003; Yueyang Pi; Shiping Wang (IEEE Trans. Image Process., 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)

Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics. - Sujia Huang; Shide Du; Lele Fu; Zhihao Wu 003; Shiping Wang (IEEE Trans. Signal Inf. Process. over Networks, 2024)

GAF-Net: Graph attention fusion network for multi-view semi-supervised classification. - Na Song; Shide Du; Zhihao Wu 003; Luying Zhong; Laurence T. Yang; Jing Yang 051; Shiping Wang (Expert Syst. Appl., 2024)

IMPRL-Net: interpretable multi-view proximity representation learning network. - Shiyang Lan; Zihan Fang; Shide Du; Zhiling Cai; Shiping Wang (Neural Comput. Appl., 2024)

Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition. - Changwei Wang 001; Shunpeng Chen; Yukun Song; Rongtao Xu; Zherui Zhang; Jiguang Zhang; Haoran Yang; Yu Zhang 133; Kexue Fu 001; Shide Du; Zhiwei Xu 005; Longxiang Gao; et al. (AAAI, 2025)

OpenViewer: Openness-Aware Multi-View Learning. - Shide Du; Zihan Fang; Yanchao Tan; Changwei Wang 001; Shiping Wang; Wenzhong Guo (AAAI, 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 001 (Eng. Appl. Artif. Intell., 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)

MOAL: Multi-view Out-of-distribution Awareness Learning. - Xuzheng Wang; Zihan Fang; Shide Du; Wenzhong Guo; Shiping Wang (Neural Networks, 2025)

Low-rank tensor learning with projection distance metric for multi-view clustering. - Sujia Huang; Lele Fu; Shide Du; Zhihao Wu 003; Athanasios V. Vasilakos; Shiping Wang (Int. J. Mach. Learn. Cybern., 2025)

Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck. - Luying Zhong; Zhaoliang Chen; Zhihao Wu 003; Shide Du; Zheyi Chen; Shiping Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unsupervised Projected Sample Selector for Active Learning. - Yueyang Pi; Yiqing Shi; Shide Du; Yang Huang; Shiping Wang (IEEE Trans. Big Data, 2025)

Scalable multi-modal representation learning networks. - Zihan Fang; Ying Zou 024; Shiyang Lan; Shide Du; Yanchao Tan; Shiping Wang (Artif. Intell. Rev., 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 001; Shiping Wang (CoRR, 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 (CoRR, 2025)