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References
64
[10]
Self-Weighted Contrastive Fusion for Deep Multi-View Clustering

Song Wu, Yan Zheng, Yazhou Ren et al.

IEEE Transactions on Multimedia 10.1109/tmm.2024.3387298
[15]
Lee "Algorithms for non-negative matrix factorization" (2000)
[25]
Generative adversarial networks

Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza et al.

Communications of the ACM 10.1145/3422622
[42]
Arjovsky "Wasserstein generative adversarial networks" (2017)
[43]
Mirza "Conditional generative adversarial nets" (2014)
[48]
Wah "The Caltech-Ucsd birds-200-2011 Dataset" (2011)
[49]
Amini "Learning from multiple partially observed views-an application to multilingual text categorization" (2009)

Showing 50 of 64 references

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4
Citations
64
References
Details
Published
Jan 01, 2026
Vol/Issue
38(1)
Pages
170-182
License
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Funding
National Natural Science Foundation of China Award: 62522604
Natural Science Foundation of Hubei Province Award: 2025AFA113
Fundamental Research Funds for National Universities, China Award: 2024XLB6
Cite This Article
Yanwanyu Xi, Chang Tang, Jun-Jie Huang, et al. (2026). Contrastive and Dual Adversarial Representation Learning for Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering, 38(1), 170-182. https://doi.org/10.1109/tkde.2025.3611368
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