Xinhang Wan
wanxinhang
Xinhang Wan (万欣航) is a Ph.D student at degree College of Computer Science and Technology, National University of Defence Technology (NUDT).
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Awesome Semi-supervised Multi-view Classification is a collection of SOTA, novel semi-supervised multi-view classification methods (papers, codes).
Awesome Continual Multi-view Clustering is a collection of SOTA, novel continual multi-view clustering methods (papers, codes).
The code of AAAI 2023 ''Auto-Weighted Multi-View Clustering for Large-Scale Data''
ACM MM 2022 《Continual Multi-view Clustering》
The code of ICML 2024 ''Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information''
The code of TNNLS 2024 ''One-Step Multi-View Clustering With Diverse Representation''
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The code of TNNLS 2024 ''One-Step Multi-View Clustering With Diverse Representation''
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Awesome Semi-supervised Multi-view Classification is a collection of SOTA, novel semi-supervised multi-view classification methods (papers, codes).
ACM MM 2022 《Continual Multi-view Clustering》
Awesome Continual Multi-view Clustering is a collection of SOTA, novel continual multi-view clustering methods (papers, codes).
The code of TIP 'Fast Continual Multi-View Clustering with Incomplete Views''
The code of ICML 2024 ''Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information''
The code of AAAI 2023 ''Auto-Weighted Multi-View Clustering for Large-Scale Data''