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2020 – today
- 2026
[j10]Canyang Guo
, Xianwei Guo, Sujia Huang, Yuchao Su, Daxin Zhu, Jianbing Xiahou:
Immunizing over-smoothing: Dual-channel graph convolutional network. Expert Syst. Appl. 296: 128976 (2026)- [j9]Sheng Huang, Sifan Chen, Sujia Huang, Wenzhe Liu, Zhiyu Chen:
Boosting graph neural network via dynamic structure refinement for multi-omics cancer classification. Neurocomputing 662: 132006 (2026) - [j8]Jingguang He, Shunxin Xiao, Sujia Huang, Jianmin Li, Da-Han Wang:
MOKAN: A Multi-Omics Data Analysis Framework Using Kolmogorov-Arnold Networks. IEEE J. Biomed. Health Informatics 30(2): 1830-1840 (2026) - 2025
- [j7]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) - [j6]Jinbin Yang, Jinyu Cai, Yunhe Zhang, Sujia Huang, Shiping Wang:
Towards Adaptive Masked Structural Learning for Graph-Level Clustering. IEEE Trans. Netw. Sci. Eng. 12(3): 2021-2032 (2025) - [c6]Sujia Huang, Lele Fu, Shuman Zhuang, Yide Qiu, Bo Huang, Zhen Cui, Tong Zhang:
Going Beyond Consistency: Target-oriented Multi-view Graph Neural Network. IJCAI 2025: 5426-5434 - [c5]Sujia Huang, Yueyang Pi, Tong Zhang, Wenzhe Liu, Zhen Cui:
Boosting Graph Convolution with Disparity-induced Structural Refinement. WWW 2025: 2209-2221 - [i1]Sujia Huang, Lele Fu, Zhen Cui, Tong Zhang, Na Song, Bo Huang:
Torque-based Graph Surgery:Enhancing Graph Neural Networks with Hierarchical Rewiring. CoRR abs/2507.21422 (2025) - 2024
- [j5]Shunxin Xiao, Jiacheng Li, Jielong Lu, Sujia Huang, Bao Zeng, Shiping Wang:
Graph neural networks for multi-view learning: a taxonomic review. Artif. Intell. Rev. 57(11) (2024) - [j4]Sujia Huang, Shunxin Xiao, Yuhong Chen, Jinbin Yang, Zhibin Shi, Yanchao Tan, Shiping Wang:
Unified structure-aware feature learning for Graph Convolutional Network. Expert Syst. Appl. 254: 124397 (2024) - [j3]Shiping Wang, Sujia Huang, Zhihao Wu, Rui Liu, Yong Chen, Dell Zhang:
Heterogeneous graph convolutional network for multi-view semi-supervised classification. Neural Networks 178: 106438 (2024) - [j2]Zhihao Wu, Zhaoliang Chen, Shide Du, Sujia Huang, Shiping Wang:
Graph Convolutional Network with elastic topology. Pattern Recognit. 151: 110364 (2024) - [j1]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]Shuman Zhuang, Sujia Huang, Wei Huang, Yuhong Chen, Zhihao Wu, Ximeng Liu:
Enhancing Multi-view Graph Neural Network with Cross-view Confluent Message Passing. ACM Multimedia 2024: 10065-10074 - 2023
- [c3]Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse:
Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. BIBM 2023: 1983-1988 - [c2]Na Song, Shundong Yang, Zhiling Cai, Jian Lin, Sujia Huang:
Multi-level Learning for Semi-supervised Multi-view Classification. CBD 2023: 146-151 - 2021
- [c1]Lele Fu, Zhaoliang Chen, Sujia Huang, Sheng Huang, Shiping Wang:
Multi-View Learning Via Low-Rank Tensor Optimization. ICME 2021: 1-6
Coauthor Index
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