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2020 – today
- 2024
[j3]Si-Guo Fang
, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang:
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11436-11447 (2024)- 2023
- [j2]Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang:
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering. Inf. Fusion 91: 364-375 (2023) - 2022
- [i2]Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang:
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering. CoRR abs/2203.08060 (2022) - [i1]Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang:
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning. CoRR abs/2209.04187 (2022) - 2021
- [c3]Xiaosha Cai, Dong Huang:
Link-Based Consensus Clustering with Random Walk Propagation. ICONIP (5) 2021: 693-700 - 2020
- [c2]Xiaosha Cai, Dong Huang:
Subspace-Weighted Consensus Clustering for High-Dimensional Data. ADMA 2020: 3-16 - [c1]Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh:
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. PAKDD (1) 2020: 330-342
2010 – 2019
- 2019
- [j1]Dong Huang, Xiaosha Cai, Chang-Dong Wang:
Unsupervised feature selection with multi-subspace randomization and collaboration. Knowl. Based Syst. 182 (2019)
Coauthor Index
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