Guangyan Ji

According to our database, Guangyan Ji authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., November, 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

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

2023

Consensus latent incomplete multi-view clustering with low-rank tensor constraint.

Guangyan Ji, Gui-Fu Lu

Int. J. Mach. Learn. Cybern., November, 2023

Robust subspace clustering via multi-affinity matrices fusion.

Yangfan Du, Gui-Fu Lu, Guangyan Ji, Jinhua Liu

Knowl. Based Syst., October, 2023

A late fusion scheme for multi-graph regularized NMF.

Guangyan Ji, Gui-Fu Lu

Mach. Vis. Appl., September, 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., September, 2023

Robust and optimal neighborhood graph learning for multi-view clustering.

Yangfan Du, Gui-Fu Lu, Guangyan Ji

Inf. Sci., 2023

Scalable incomplete multi-view clustering via tensor Schatten <i>p</i>-norm and tensorized bipartite graph.

Guangyan Ji, Gui-Fu Lu, Bing Cai

Eng. Appl. Artif. Intell., 2023

Efficient Tensor Low-Rank Representation with a Closed Form Solution.

Yaozu Kan, Gui-Fu Lu, Yangfan Du, Guangyan Ji

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

One-step incomplete multiview clustering with low-rank tensor graph learning.

Guangyan Ji, Gui-Fu Lu

Inf. Sci., 2022