Gui-Fu Lu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 51

Top Topics

Subspace Clustering

Maximum Margin Criterion

Affinity Matrix

Top Venues

Neural Networks

Mach. Vis. Appl.

Publications

Xiaoxing Guo, Gui-Fu Lu
Tensor-based global block-diagonal structure radiation for incomplete multiview clustering. Expert Syst. Appl. 255 (2024)
Bing Cai, Gui-Fu Lu, Hua Li, Weihong Song
Tensorized Scaled Simplex Representation for Multi-View Clustering. IEEE Trans. Multim. 26 (2024)
Xiaoxing Guo, Gui-Fu Lu
Comprehensive consensus representation learning for incomplete multiview subspace clustering. Inf. Sci. 678 (2024)
Yaozu Kan, Gui-Fu Lu, Liang Yao, Bing Cai, Jinbiao Zhao
Multi-view clustering using a flexible and optimal multi-graph fusion method. Eng. Appl. Artif. Intell. 128 (2024)
Bing Cai, Gui-Fu Lu, Guangyan Ji, Weihong Song
Complete multi-view subspace clustering via auto-weighted combination of visible and latent views. Inf. Sci. 665 (2024)
Yangfan Du, Gui-Fu Lu, Guangyan Ji
Robust Least Squares Regression for Subspace Clustering: A Multi-View Clustering Perspective. IEEE Trans. Image Process. 33 (2024)
Bing Cai, Gui-Fu Lu, Liang Yao, Jiashan Wan
Aligned multi-view clustering for unmapped data via weighted tensor nuclear norm and adaptive graph learning. Neurocomputing 597 (2024)
Yaozu Kan, Gui-Fu Lu, Yangfan Du
An adaptive kernel dictionary-based low-rank representation method for subspace clustering. Neural Networks 178 (2024)
Tong Wu, Gui-Fu Lu
Coupled double consensus multi-graph fusion for multi-view clustering. Inf. Sci. 680 (2024)
Bing Cai, Gui-Fu Lu, Jiashan Wan, Yangfan Du
Auto-weighted multi-view clustering with the use of an augmented view. Signal Process. 215 (2024)
Tong Wu, Gui-Fu Lu
Coupled double self-expressive subspace clustering with low-rank tensor learning. Expert Syst. Appl. 255 (2024)
Shouhang Wang, Yong Wang, Gui-Fu Lu, Wenge Le
Mixed structure low-rank representation for multi-view subspace clustering. Appl. Intell. 53 (15) (2023)
Guangyan Ji, Gui-Fu Lu
A late fusion scheme for multi-graph regularized NMF. Mach. Vis. Appl. 34 (5) (2023)
Guangyan Ji, Gui-Fu Lu
Consensus latent incomplete multi-view clustering with low-rank tensor constraint. Int. J. Mach. Learn. Cybern. 14 (11) (2023)
Rong Tang, Gui-Fu Lu
Multi-view subspace similarity learning based on t-SVD. Multim. Tools Appl. 82 (29) (2023)
Bing Cai, Gui-Fu Lu, Liang Yao, Hua Li
High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN. Pattern Recognit. 134 (2023)
Liang Yao, Gui-Fu Lu, Jinbiao Zhao, Bing Cai
Multi-view clustering based on a multimetric matrix fusion method. Expert Syst. Appl. 228 (2023)
Yangfan Du, Gui-Fu Lu, Guangyan Ji, Jinhua Liu
Robust subspace clustering via multi-affinity matrices fusion. Knowl. Based Syst. 278 (2023)
Liang Yao, Gui-Fu Lu
Multi-view clustering indicator learning with scaled similarity. Pattern Anal. Appl. 26 (3) (2023)
Jinbiao Zhao, Gui-Fu Lu
Clean affinity matrix learning with rank equality constraint for multi-view subspace clustering. Pattern Recognit. 134 (2023)
Rong Tang, Gui-Fu Lu
Consensus similarity learning based on tensor nuclear norm. Mach. Vis. Appl. 34 (1) (2023)
Yangfan Du, Gui-Fu Lu, Guangyan Ji
Robust and optimal neighborhood graph learning for multi-view clustering. Inf. Sci. 631 (2023)
Guangyan Ji, Gui-Fu Lu, Bing Cai
-norm and tensorized bipartite graph. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Guangyan Ji, Gui-Fu Lu, Bing Cai, Yangfan Du
Unbalanced incomplete multi-view clustering based on low-rank tensor graph learning. Expert Syst. Appl. 225 (2023)
Yaozu Kan, Gui-Fu Lu, Yangfan Du, Guangyan Ji
Efficient Tensor Low-Rank Representation with a Closed Form Solution. ACPR (2) (2023)
Bing Cai, Gui-Fu Lu
Tensor subspace clustering using consensus tensor low-rank representation. Inf. Sci. 609 (2022)
Liang Yao, Gui-Fu Lu
Double structure scaled simplex representation for multi-view subspace clustering. Neural Networks 151 (2022)
Guangyan Ji, Gui-Fu Lu
One-step incomplete multiview clustering with low-rank tensor graph learning. Inf. Sci. 615 (2022)
Jinbiao Zhao, Gui-Fu Lu
Clean and robust affinity matrix learning for multi-view clustering. Appl. Intell. 52 (14) (2022)
Rong Tang, Gui-Fu Lu
Constrained Multilinear Multi-view Subspace Representation Learning for Clustering based on Tensor Nuclear Norm. DSA (2022)
Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang
Kernel Subspace Clustering based on Block Diagonal Representation and Sparse Constraints. DSA (2022)
Gui-Fu Lu, Jinbiao Zhao
Latent multi-view self-representations for clustering via the tensor nuclear norm. Appl. Intell. 52 (6) (2022)
Gui-Fu Lu, Yong Wang, Ganyi Tang
Robust low-rank representation with adaptive graph regularization from clean data. Appl. Intell. 52 (5) (2022)
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) (2021)
Caifeng Yang, Tao Liu, Gui-Fu Lu, Zhenxin Wang, Zhi Deng
Improved Non-negative Matrix Factorization Algorithm for Sparse Graph Regularization. ICPCSEE (1) (2021)
Lili Fan, Gui-Fu Lu, Yong Wang, Tao Liu
Block Diagonal Sparse Subspace Clustering. WCSP (2021)
Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-Fu Lu, Chen Gong
δ-Norm-Based Robust Regression With Applications to Image Analysis. IEEE Trans. Cybern. 51 (6) (2021)
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 (2020)
Yong Wang, Xiangyu Chen, Wan Zhou, Xuejuan Liu, Jun Li, Gui-Fu Lu
Using Algebra Graph Representation to Detect Pairwise-Constraint Software Faults. IEEE Access 8 (2020)
Wei-Xin Yao, Dan Yang, Gui-Fu Lu, Jun Wang
A Fast Rough Mode Decision Algorithm for HEVC. J. Inf. Process. Syst. 15 (3) (2019)
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
Sparse L1-norm-based linear discriminant analysis. Multim. Tools Appl. 77 (13) (2018)
Gui-Fu Lu, Yong Wang, Jian Zou, Zhongqun Wang
Matrix exponential based discriminant locality preserving projections for feature extraction. Neural Networks 97 (2018)
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
L1-norm based null space discriminant analysis. Multim. Tools Appl. 76 (14) (2017)
Lei Luo, Jian Yang, Jianjun Qian, Ying Tai, Gui-Fu Lu
Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise. IEEE Trans. Neural Networks Learn. Syst. 28 (9) (2017)
Gui-Fu Lu, Ganyi Tang, Jian Zou
Spare L1-norm-based maximum margin criterion. J. Vis. Commun. Image Represent. 38 (2016)
Gui-Fu Lu, Yong Wang, Jian Zou
Low-Rank Matrix Factorization With Adaptive Graph Regularizer. IEEE Trans. Image Process. 25 (5) (2016)
Gui-Fu Lu, Yong Wang, Jian Zou
Graph Maximum Margin Criterion for Face Recognition. Neural Process. Lett. 44 (2) (2016)
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
L1-norm-based principal component analysis with adaptive regularization. Pattern Recognit. 60 (2016)
Gui-Fu Lu, Jian Zou, Yong Wang
A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental Extension. Neural Process. Lett. 43 (3) (2016)
Gui-Fu Lu, Jian Zou, Yong Wang
L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso. Pattern Recognit. 55 (2016)
Jian Zou, Gui-Fu Lu, Yue Zhang, Chuancai Liu
Generalizing intersection kernel support vector machines for color texture based recognition. J. Vis. Commun. Image Represent. 41 (2016)
Gui-Fu Lu, Jian Zou
Incremental maximum margin criterion based on eigenvalue decomposition updating algorithm. Mach. Vis. Appl. 26 (6) (2015)
Gui-Fu Lu, Jian Zou, Yong Wang
Incremental learning from chunk data for IDR/QR. Image Vis. Comput. 36 (2015)
Jian Zou, Chuancai Liu, Yue Zhang, Gui-Fu Lu
Object recognition using Gabor co-occurrence similarity. Pattern Recognit. 46 (1) (2013)
Gui-Fu Lu, Yong Wang, Jian Zou
Improved complete neighbourhood preserving embedding for face recognition. IET Comput. Vis. 7 (1) (2013)
Gui-Fu Lu, Wenming Zheng
Complexity-reduced implementations of complete and null-space-based linear discriminant analysis. Neural Networks 46 (2013)
Gui-Fu Lu, Jian Zou
Feature Extraction Using a Complete Kernel Extension of Supervised Graph Embedding. Neural Process. Lett. 35 (2) (2012)
Gui-Fu Lu, Zhong Jin, Jian Zou
Face recognition using discriminant sparsity neighborhood preserving embedding. Knowl. Based Syst. 31 (2012)
Gui-Fu Lu, Yong Wang
Feature extraction using a fast null space based linear discriminant analysis algorithm. Inf. Sci. 193 (2012)
Gui-Fu Lu, Jian Zou, Yong Wang
Incremental complete LDA for face recognition. Pattern Recognit. 45 (7) (2012)
Gui-Fu Lu, Jian Zou, Yong Wang
Incremental learning of complete linear discriminant analysis for face recognition. Knowl. Based Syst. 31 (2012)
Gui-Fu Lu, Jian Zou, Yong Wang
Incremental learning of discriminant common vectors for feature extraction. Appl. Math. Comput. 218 (22) (2012)
Gui-Fu Lu, Zhong Lin, Zhong Jin
Orthogonal Complete Discriminant Locality Preserving Projections for Face Recognition. Neural Process. Lett. 33 (3) (2011)
Jian Zou, Chuancai Liu, Yue Zhang, Gui-Fu Lu
Face recognition using multi-scale differential invariants in statistical manifold framework. Int. J. Data Min. Model. Manag. 3 (4) (2011)
Gui-Fu Lu, Zhong Lin, Zhong Jin
Face recognition using discriminant locality preserving projections based on maximum margin criterion. Pattern Recognit. 43 (10) (2010)