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2020 – today
- 2026
[j32]Shide Du
, Zhenghong Lin, Zihan Fang, Yiqing Shi, Shiping Wang:
An interpretable deep unfolding framework for multi-view representation learning. Inf. Fusion 132: 104242 (2026)- [j31]Fu Zhao, Zihan Fang, Shide Du, Zhiling Cai, Hongju Cheng, Shiping Wang:
Attention meets convolution: Dual-channel multi-view fusion network. Inf. Sci. 752: 123565 (2026) - [j30]Chunming Wu, Zihan Fang, Zhiling Cai, Shide Du, Wei Huang, Jinbo Li, Shiping Wang:
SOI-Net: Structural Optimization-Inspired Interpretable Network for Incomplete Multi-View Clustering. IEEE Trans. Multim. 28: 196-208 (2026) - [j29]Ying Zou, Zihan Fang, Shide Du, Yilin Wu, Hong Zhao, Shiping Wang:
Interpretable Multi-View Representation Learning Towards Complex Scenes: From Homogeneity to Heterogeneity. IEEE Trans. Multim. 28: 614-627 (2026) - [j28]Zihan Fang, Shide Du, Ying Zou, Yanchao Tan, Na Song, Shiping Wang:
Be Reliable: An Interpretable Attribute-Oriented Representation Learning Framework. IEEE Trans. Neural Networks Learn. Syst. 37(3): 1134-1148 (2026) - [j27]Shide Du, Zihan Fang, Zhaoliang Chen, Ying Zou, Aiping Huang:
An Explainable and Flexible Plug-and-Play Multi-View Representation Learning Network. IEEE Trans. Netw. Sci. Eng. 13: 8612-8627 (2026) - [c14]Weiran Liao, Jielong Lu, Yuhong Chen, Shide Du, Hongrong Chen, Shiping Wang:
From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning. AAAI 2026: 23469-23477 - [c13]Renjie Lin, Hongzhi He, Yilin Wu, Shide Du, Le Zhang:
Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network. AAAI 2026: 23559-23567 - [c12]Yilin Wu, Weihong Lin, Renjie Lin, Zihan Fang, Shide Du, Shiping Wang:
DIN: Dual Impulse Network for Multi-view Representation Learning. AAAI 2026: 27001-27009 - 2025
- [j26]Zihan Fang, Ying Zou, Shiyang Lan, Shide Du, Yanchao Tan, Shiping Wang:
Scalable multi-modal representation learning networks. Artif. Intell. Rev. 58(7): 209 (2025) - [j25]Tianai Yue, Rongtao Xu, Jingqian Wu, Wenjie Yang, Shide Du, Changwei Wang:
Dual prototypes contrastive learning based semi-supervised segmentation method for intelligent medical applications. Eng. Appl. Artif. Intell. 154: 110905 (2025) - [j24]Shiyang Lan, Shide Du, Zihan Fang, Zhiling Cai, Wei Huang, Shiping Wang:
Optimization-oriented multi-view representation learning in implicit bi-topological spaces. Inf. Sci. 704: 121945 (2025) - [j23]Sujia Huang, Lele Fu, Shide Du, Zhihao Wu, Athanasios V. Vasilakos, Shiping Wang:
Low-rank tensor learning with projection distance metric for multi-view clustering. Int. J. Mach. Learn. Cybern. 16(1): 25-41 (2025) - [j22]Xuzheng Wang, Zihan Fang, Shide Du, Wenzhong Guo, Shiping Wang:
MOAL: Multi-view Out-of-distribution Awareness Learning. Neural Networks 190: 107581 (2025) - [j21]Yueyang Pi, Yiqing Shi, Shide Du, Yang Huang, Shiping Wang:
Unsupervised Projected Sample Selector for Active Learning. IEEE Trans. Big Data 11(2): 485-498 (2025) - [j20]Chunming Wu, Zihan Fang, Shide Du, Shiping Wang:
A Universal Interpretable Multiview Clustering Framework: From Homogeneity to Heterogeneity. IEEE Trans. Comput. Soc. Syst. 12(5): 3181-3192 (2025) - [j19]Zhiyong Xu, Yuhong Chen, Ying Zou, Shide Du, Yan Chen, Shiping Wang:
MBGCN: Multi-View Block-Wise Graph Convolutional Networks on Large-Scale Graphs. IEEE Trans. Image Process. 34: 8285-8300 (2025) - [j18]Luying Zhong, Zhaoliang Chen, Zhihao Wu, Shide Du, Zheyi Chen, Shiping Wang:
Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck. IEEE Trans. Neural Networks Learn. Syst. 36(1): 433-446 (2025) - [c11]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:
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition. AAAI 2025: 7536-7544 - [c10]Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo:
OpenViewer: Openness-Aware Multi-View Learning. AAAI 2025: 16389-16397 - [c9]Zhengnan Chen, Chunming Wu, Zihan Fang, Shide Du, Ping Fan, Shiping Wang:
Constraint-Aware Multi-View Clustering via Graph Contrastive Learning. ADMA (2) 2025: 102-116 - [c8]Zihan Fang, Zhiling Cai, Yuxuan Zheng, Shide Du, Yanchao Tan, Shiping Wang:
HiTuner: Hierarchical Semantic Fusion Model Fine-Tuning on Text-Attributed Graphs. IJCAI 2025: 5110-5117 - [c7]Zihan Fang, Zhiyong Xu, Lan Du, Shide Du, Zhiling Cai, Shiping Wang:
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing. ACM Multimedia 2025: 1220-1228 - [c6]Shide Du, Chunming Wu, Zihan Fang, Wendi Zhao, Yilin Wu, Changwei Wang, Shiping Wang:
LargeMvC-Net: Anchor-based Deep Unfolding Network for Large-scale Multi-view Clustering. ACM Multimedia 2025: 1714-1723 - [c5]Renjie Lin, Jiacheng Li, Shide Du, Shiping Wang, Le Zhang:
OIMGC-Net: Optimization-inspired Interpretable Multi-view Graph Clustering Network. ACM Multimedia 2025: 1957-1966 - [i5]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:
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition. CoRR abs/2504.09881 (2025) - [i4]Shide Du, Chunming Wu, Zihan Fang, Wendi Zhao, Yilin Wu, Changwei Wang, Shiping Wang:
LargeMvC-Net: Anchor-based Deep Unfolding Network for Large-scale Multi-view Clustering. CoRR abs/2507.20980 (2025) - [i3]Zihan Fang, Zhiyong Xu, Lan Du, Shide Du, Zhiling Cai, Shiping Wang:
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing. CoRR abs/2508.01227 (2025) - 2024
- [j17]Na Song, Shide Du, Zhihao Wu, Luying Zhong, Laurence T. Yang, Jing Yang, Shiping Wang:
GAF-Net: Graph attention fusion network for multi-view semi-supervised classification. Expert Syst. Appl. 238(Part E): 122151 (2024) - [j16]Weibin Chen, Zhengyang Cai, Pengfei Lin, Yang Huang, Shide Du, Wenzhong Guo, Shiping Wang:
Multi-view semi-supervised classification via auto-weighted submarkov random walk. Expert Syst. Appl. 256: 124961 (2024) - [j15]Shiyang Lan, Zihan Fang, Shide Du, Zhiling Cai, Shiping Wang:
IMPRL-Net: interpretable multi-view proximity representation learning network. Neural Comput. Appl. 36(24): 15027-15044 (2024) - [j14]Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang:
Graph Convolutional Network with elastic topology. Pattern Recognit. 151: 110364 (2024) - [j13]Shide Du, Zhiling Cai, Zhihao Wu, Yueyang Pi, Shiping Wang:
UMCGL: Universal Multi-View Consensus Graph Learning With Consistency and Diversity. IEEE Trans. Image Process. 33: 3399-3412 (2024) - [j12]Zihan Fang, Shide Du, Zhiling Cai, Shiyang Lan, Chunming Wu, Yanchao Tan, Shiping Wang:
Representation Learning Meets Optimization-Derived Networks: From Single-View to Multi-View. IEEE Trans. Multim. 26: 8889-8901 (2024) - [j11]Sujia Huang, Shide Du, Lele Fu, Zhihao Wu, Shiping Wang:
Tensor-Derived Large-Scale Multi-View Subspace Clustering With Faithful Semantics. IEEE Trans. Signal Inf. Process. over Networks 10: 584-598 (2024) - [c4]Zihan Fang, Shide Du, Yuhong Chen, Shiping Wang:
Beyond the Known: Ambiguity-Aware Multi-view Learning. ACM Multimedia 2024: 8518-8526 - [i2]Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo:
OpenViewer: Openness-Aware Multi-View Learning. CoRR abs/2412.12596 (2024) - 2023
- [j10]Zihan Fang, Shide Du, Xincan Lin, Jinbin Yang, Shiping Wang, Yiqing Shi:
DBO-Net: Differentiable bi-level optimization network for multi-view clustering. Inf. Sci. 626: 572-585 (2023) - [j9]Renjie Lin, Yongkun Lin, Zhenghong Lin, Shide Du, Shiping Wang:
CCR-Net: Consistent contrastive representation network for multi-view clustering. Inf. Sci. 637: 118937 (2023) - [j8]Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo:
Consistent graph embedding network with optimal transport for incomplete multi-view clustering. Inf. Sci. 647: 119418 (2023) - [j7]Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo:
Multi-view clustering via optimal transport algorithm. Knowl. Based Syst. 279: 110954 (2023) - [j6]Shunxin Xiao, Shide Du, Zhaoliang Chen, Yunhe Zhang, Shiping Wang:
Dual Fusion-Propagation Graph Neural Network for Multi-View Clustering. IEEE Trans. Multim. 25: 9203-9215 (2023) - [j5]Renjie Lin, Shide Du, Shiping Wang, Wenzhong Guo:
Multi-Channel Augmented Graph Embedding Convolutional Network for Multi-View Clustering. IEEE Trans. Netw. Sci. Eng. 10(4): 2239-2249 (2023) - [c3]Zihan Fang, Shide Du, Yaqing Chen, Shiping Wang:
DMRL-Net: Differentiable Multi-view Representation Learning Network. ICME 2023: 1505-1510 - [c2]Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo:
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. ACM Multimedia 2023: 8719-8729 - [i1]Shide Du, Zihan Fang, Shiyang Lan, Yanchao Tan, Manuel Günther, Shiping Wang, Wenzhong Guo:
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness. CoRR abs/2308.03666 (2023) - 2022
- [j4]Shiping Wang, Xincan Lin, Zihan Fang, Shide Du, Guobao Xiao:
Contrastive Consensus Graph Learning for Multi-View Clustering. IEEE CAA J. Autom. Sinica 9(11): 2027-2030 (2022) - [j3]Shiping Wang, Zhaoliang Chen, Shide Du, Zhouchen Lin:
Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5042-5055 (2022) - [j2]Shide Du, Shiping Wang:
An Overview of Correlation-Filter-Based Object Tracking. IEEE Trans. Comput. Soc. Syst. 9(1): 18-31 (2022) - 2021
- [j1]Shide Du, Zhanghui Liu, Zhaoliang Chen, Wenyuan Yang, Shiping Wang:
Differentiable Bi-Sparse Multi-View Co-Clustering. IEEE Trans. Signal Process. 69: 4623-4636 (2021) - [c1]Huibin Lin, Shiping Wang, Zhanghui Liu, Shunxin Xiao, Shide Du, Wenzhong Guo:
FMixAugment for Semi-supervised Learning with Consistency Regularization. PRCV (2) 2021: 127-139
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