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Results 1-19 of 19 (Search time: 0.031 seconds).

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	Issue Date	Title	Author(s)
1	2022	Adaptive attribute and structure subspace clustering network	Liu, Hui
2	2022	Maximum entropy subspace clustering network	Liu, Hui
3	2021	Multi-view spectral clustering tailored tensor low-rank representation	Liu, Hui
4	2022	Learning low-rank graph with enhanced supervision	Liu, Hui
5	2021	Semi-supervised affinity matrix learning via dual-channel information recovery	Liu, Hui
6	2020	Clustering-aware graph construction: A joint learning perspective	Liu, Hui
7	2021	Clustering ensemble meets low-rank tensor approximation	Liu, Hui
8	2021	Attention-driven graph clustering network	Liu, Hui
9	2022	Self-supervised symmetric nonnegative matrix factorization	Liu, Hui
10	2020	Pairwise constraint propagation with dual adversarial manifold regularization	Liu, Hui
11	2019	Imbalance-aware pairwise constraint propagation	Liu, Hui
12	2022	Semi-supervised adaptive symmetric non-negative matrix factorization	Liu, Hui
13	2021	Deep amended gradient descent for efficient spectral reconstruction from single RGB images	Liu, Hui
14	2021	Semantic-embedded unsupervised spectral reconstruction from Single RGB images in the wild	Liu, Hui
15	2021	Learning dynamic interpolation for extremely sparse light fields with wide baselines	Liu, Hui
16	2023	Semi-supervised subspace clustering via tensor low-rank representation	Liu, Hui
17	2023	EGRC-Net: Embedding-induced graph refinement clustering network	Liu, Hui
18	2023	Deep attention-guided graph clustering with dual self-supervision	Liu, Hui
19	2023	Content-aware warping for view synthesis	Liu, Hui

Results 1-19 of 19 (Search time: 0.031 seconds).

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