One-step incomplete multiview clustering with low-rank tensor graph learning. - Guangyan Ji; Gui-Fu Lu (Inf. Sci., 2022)

Efficient Tensor Low-Rank Representation with a Closed Form Solution. - Yaozu Kan; Gui-Fu Lu; Yangfan Du; Guangyan Ji (ACPR (2), 2023)

Scalable incomplete multi-view clustering via tensor Schatten p-norm and tensorized bipartite graph. - Guangyan Ji; Gui-Fu Lu; Bing Cai (Eng. Appl. Artif. Intell., 2023)

Robust and optimal neighborhood graph learning for multi-view clustering. - Yangfan Du; Gui-Fu Lu; Guangyan Ji (Inf. Sci., 2023)

Unbalanced incomplete multi-view clustering based on low-rank tensor graph learning. - Guangyan Ji; Gui-Fu Lu; Bing Cai; Yangfan Du (Expert Syst. Appl., 2023)

A late fusion scheme for multi-graph regularized NMF. - Guangyan Ji; Gui-Fu Lu (Mach. Vis. Appl., 2023)

Robust subspace clustering via multi-affinity matrices fusion. - Yangfan Du; Gui-Fu Lu; Guangyan Ji; Jinhua Liu (Knowl. Based Syst., 2023)

Consensus latent incomplete multi-view clustering with low-rank tensor constraint. - Guangyan Ji; Gui-Fu Lu (Int. J. Mach. Learn. Cybern., 2023)

Complete multi-view subspace clustering via auto-weighted combination of visible and latent views. - Bing Cai; Gui-Fu Lu; Guangyan Ji; Weihong Song (Inf. Sci., 2024)

Robust Least Squares Regression for Subspace Clustering: A Multi-View Clustering Perspective. - Yangfan Du; Gui-Fu Lu; Guangyan Ji (IEEE Trans. Image Process., 2024)

Tensor low-rank representation combined with consistency and diversity exploration. - Yaozu Kan; Gui-Fu Lu; Guangyan Ji; Yangfan Du (Int. J. Mach. Learn. Cybern., 2024)

Tensor multi-subspace learning for robust tensor-based multi-view clustering. - Bing Cai; Gui-Fu Lu; Guangyan Ji; Yangfan Du (Knowl. Based Syst., 2025)