Guangyan Ji

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Tensor multi-subspace learning for robust tensor-based multi-view clustering.
Knowl. Based Syst.
Bing Cai, Gui-Fu Lu, Guangyan Ji, Yangfan Du
2024 J jnl
Complete multi-view subspace clustering via auto-weighted combination of visible and latent views.
Inf. Sci.
Bing Cai, Gui-Fu Lu, Guangyan Ji, Weihong Song
2024 J jnl
Robust Least Squares Regression for Subspace Clustering: A Multi-View Clustering Perspective.
IEEE Trans. Image Process.
Yangfan Du, Gui-Fu Lu, Guangyan Ji
2024 J jnl
Tensor low-rank representation combined with consistency and diversity exploration.
Int. J. Mach. Learn. Cybern.
Yaozu Kan, Gui-Fu Lu, Guangyan Ji, Yangfan Du
2023 J jnl
A late fusion scheme for multi-graph regularized NMF.
Mach. Vis. Appl.
Guangyan Ji, Gui-Fu Lu
2023 J jnl
Consensus latent incomplete multi-view clustering with low-rank tensor constraint.
Int. J. Mach. Learn. Cybern.
Guangyan Ji, Gui-Fu Lu
2023 — conf
Efficient Tensor Low-Rank Representation with a Closed Form Solution.
ACPR (2)
Yaozu Kan, Gui-Fu Lu, Yangfan Du, Guangyan Ji
2023 J jnl
Robust and optimal neighborhood graph learning for multi-view clustering.
Inf. Sci.
Yangfan Du, Gui-Fu Lu, Guangyan Ji
2023 J jnl
Robust subspace clustering via multi-affinity matrices fusion.
Knowl. Based Syst.
Yangfan Du, Gui-Fu Lu, Guangyan Ji, Jinhua Liu
2023 J jnl
Scalable incomplete multi-view clustering via tensor Schatten
Eng. Appl. Artif. Intell.
Guangyan Ji, Gui-Fu Lu, Bing Cai
2023 J jnl
Unbalanced incomplete multi-view clustering based on low-rank tensor graph learning.
Expert Syst. Appl.
Guangyan Ji, Gui-Fu Lu, Bing Cai, Yangfan Du
2022 J jnl
One-step incomplete multiview clustering with low-rank tensor graph learning.
Inf. Sci.
Guangyan Ji, Gui-Fu Lu