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2020 – today
- 2024
[j6]Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang:
A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering. Mach. Vis. Appl. 35(1): 15 (2024)- 2023
- [c2]Jing Wang, Ganyi Tang, Yong Wang:
Application in Student Performance Prediction Using Graph Regularization Nonnegative Matrix Factorization. DSA 2023: 816-820 - 2022
- [j5]Gui-Fu Lu
, Yong Wang, Ganyi Tang:
Robust low-rank representation with adaptive graph regularization from clean data. Appl. Intell. 52(5): 5830-5840 (2022) - [j4]Jianguo Shi, Yu Xiu, Ganyi Tang:
Research on occlusion block face recognition based on feature point location. Comput. Animat. Virtual Worlds 33(3-4) (2022) - [c1]Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang:
Kernel Subspace Clustering based on Block Diagonal Representation and Sparse Constraints. DSA 2022: 360-367 - 2021
- [j3]Gui-Fu Lu, Hua Li, Yong Wang, Ganyi Tang:
Multi-view subspace clustering with Kronecker-basis-representation-based tensor sparsity measure. Mach. Vis. Appl. 32(6): 123 (2021) - 2020
- [j2]Gui-Fu Lu, Qin-Ru Yu, Yong Wang, Ganyi Tang:
Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint. Neural Networks 125: 214-223 (2020)
2010 – 2019
- 2016
- [j1]Gui-Fu Lu, Ganyi Tang, Jian Zou:
Spare L1-norm-based maximum margin criterion. J. Vis. Commun. Image Represent. 38: 11-17 (2016)
Coauthor Index
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