Gui-Fu Lu

90 papers Journal 85Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A double auto-weighted strategy for multi-view clustering.
Eng. Appl. Artif. Intell.
Tong Wu, Gui-Fu Lu
2026 J jnl
Contrastive-Driven Diversity and Consistency Exploration in Tensorized Multiview Subspace Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Xiaoxing Guo, Gui-Fu Lu
2026 J jnl
Generative views recovery and error-guided topological tensor network for incomplete multi-view clustering.
Pattern Recognit.
Xiaoxing Guo, Gui-Fu Lu, Yangfan Du, Yaozu Kan
2026 J jnl
Incomplete multi-view clustering with cross-graph diversity and improved nonconvex tensor regularizer.
Expert Syst. Appl.
Shanshan Wu, Gui-Fu Lu
2026 J jnl
Latent Representation-Based Multi-View Subspace Clustering: Collaborative Optimization of Resistance Constraint and Laplacian Regularization.
Expert Syst. Appl.
Lihao Yang, Yong Wang, Yourui Huang, Gui-Fu Lu, Yazhou Ren
2026 J jnl
Projective Multi-view Clustering with Tensor Low-rank Representation.
Signal Process.
Shanshan Wu, Gui-Fu Lu
2026 J jnl
Tensorized multi-dimensional multi-view clustering based on nonnegative matrix factorization.
Neural Networks
Yuanzhuo Zhang, Gui-Fu Lu
2025 J jnl
Auto-weighted exponential tensor nuclear norm minimization for multi-attribute low-dimensional subspace clustering.
Neurocomputing
Tong Wu, Gui-Fu Lu, Bing Hu
2025 J jnl
Consensus Incomplete Multi-View Clustering with Nonconvex Tensor Smooth Graph Learning.
Pattern Recognit.
Shanshan Wu, Gui-Fu Lu
2025 J jnl
Fused adaptive tensor log-determinant and local smoothness regularizer for multi-view clustering.
Neurocomputing
Fei Wang, Gui-Fu Lu
2025 J jnl
Improving user-oriented fairness in recommendation via data augmentation: Don't worry about inactive users.
J. Syst. Softw.
Yong Wang, Huadong Zhou, Gui-Fu Lu, Cuiyun Gao, Shuai Meng
2025 J jnl
Joint local smoothness and low-rank tensor representation for robust multi-view clustering.
Pattern Recognit.
Yangfan Du, Gui-Fu Lu
2025 J jnl
Multi-view clustering via view-specific consensus kernelized graph learning.
Neurocomputing
Bing Hu, Tong Wu, Lixin Han, Shu Li, Yi Xu, Gui-Fu Lu
2025 J jnl
Scalable one-pass multi-view clustering with tensorized multiscale bipartite graphs fusion.
Neural Networks
Fei Wang, Gui-Fu Lu
2025 J jnl
Specific and coupled double consistency multi-view subspace clustering with low-rank tensor learning.
Signal Process.
Tong Wu, Gui-Fu Lu
2025 J jnl
Structure regularized consensus dynamic anchor graph learning for incomplete multi-view clustering.
Neural Networks
Bing Hu, Lixin Han, Yi Xu, Chang Tang, Jun Zhu, Gui-Fu Lu
2025 J jnl
Tensor idempotent representation with auto-weighted exponential tensor nuclear norm minimization for multi-view clustering.
Appl. Soft Comput.
Tong Wu, Gui-Fu Lu
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
2025 J jnl
Tensor-Based Late Fusion Incomplete Multiview Clustering.
IEEE Trans. Multim.
Xiaoxing Guo, Ming Yang, Gui-Fu Lu
2025 J jnl
Tensor-based incomplete multiple kernel clustering with auto-weighted late fusion alignment.
Pattern Recognit.
Xiaoxing Guo, Gui-Fu Lu
2025 J jnl
Tensorized diversity and consistency with Laplacian manifold for multi-view clustering.
Inf. Sci.
Tong Wu, Gui-Fu Lu
2025 J jnl
Tensorized latent representation with automatic dimensionality selection for multi-view clustering.
Pattern Recognit.
Bing Cai, Gui-Fu Lu, Xiaoxing Guo, Tong Wu
2025 J jnl
Unlocking deep structures: Anchor-side filtering for efficient multiview clustering on high-order bipartite graphs.
Knowl. Based Syst.
Fei Wang, Gui-Fu Lu
2024 J jnl
A fast anchor-based graph-regularized low-rank representation approach for large-scale subspace clustering.
Mach. Vis. Appl.
Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang
2024 J jnl
Aligned multi-view clustering for unmapped data via weighted tensor nuclear norm and adaptive graph learning.
Neurocomputing
Bing Cai, Gui-Fu Lu, Liang Yao, Jiashan Wan
2024 J jnl
An adaptive kernel dictionary-based low-rank representation method for subspace clustering.
Neural Networks
Yaozu Kan, Gui-Fu Lu, Yangfan Du
2024 J jnl
Auto-weighted multi-view clustering with the use of an augmented view.
Signal Process.
Bing Cai, Gui-Fu Lu, Jiashan Wan, 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
Comprehensive consensus representation learning for incomplete multiview subspace clustering.
Inf. Sci.
Xiaoxing Guo, Gui-Fu Lu
2024 J jnl
Coupled double consensus multi-graph fusion for multi-view clustering.
Inf. Sci.
Tong Wu, Gui-Fu Lu
2024 J jnl
Coupled double self-expressive subspace clustering with low-rank tensor learning.
Expert Syst. Appl.
Tong Wu, Gui-Fu Lu
2024 J jnl
Multi-view clustering using a flexible and optimal multi-graph fusion method.
Eng. Appl. Artif. Intell.
Yaozu Kan, Gui-Fu Lu, Liang Yao, Bing Cai, JinBiao Zhao
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
2024 J jnl
Tensor-based global block-diagonal structure radiation for incomplete multiview clustering.
Expert Syst. Appl.
Xiaoxing Guo, Gui-Fu Lu
2024 J jnl
Tensorized Scaled Simplex Representation for Multi-View Clustering.
IEEE Trans. Multim.
Bing Cai, Gui-Fu Lu, Hua Li, Weihong Song
2023 J jnl
A late fusion scheme for multi-graph regularized NMF.
Mach. Vis. Appl.
Guangyan Ji, Gui-Fu Lu
2023 J jnl
Clean affinity matrix learning with rank equality constraint for multi-view subspace clustering.
Pattern Recognit.
JinBiao Zhao, 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 J jnl
Consensus similarity learning based on tensor nuclear norm.
Mach. Vis. Appl.
Rong Tang, 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
High-order manifold regularized multi-view subspace clustering with robust affinity matrices and weighted TNN.
Pattern Recognit.
Bing Cai, Gui-Fu Lu, Liang Yao, Hua Li
2023 J jnl
Mixed structure low-rank representation for multi-view subspace clustering.
Appl. Intell.
Shouhang Wang, Yong Wang, Gui-Fu Lu, Wenge Le
2023 J jnl
Multi-view clustering based on a multimetric matrix fusion method.
Expert Syst. Appl.
Liang Yao, Gui-Fu Lu, JinBiao Zhao, Bing Cai
2023 J jnl
Multi-view clustering indicator learning with scaled similarity.
Pattern Anal. Appl.
Liang Yao, Gui-Fu Lu
2023 J jnl
Multi-view subspace similarity learning based on t-SVD.
Multim. Tools Appl.
Rong Tang, Gui-Fu Lu
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
Clean and robust affinity matrix learning for multi-view clustering.
Appl. Intell.
Jin-Biao Zhao, Gui-Fu Lu
2022 — conf
Constrained Multilinear Multi-view Subspace Representation Learning for Clustering based on Tensor Nuclear Norm.
DSA
Rong Tang, Gui-Fu Lu
2022 J jnl
Double structure scaled simplex representation for multi-view subspace clustering.
Neural Networks
Liang Yao, Gui-Fu Lu
2022 — conf
Kernel Subspace Clustering based on Block Diagonal Representation and Sparse Constraints.
DSA
Lili Fan, Gui-Fu Lu, Ganyi Tang, Yong Wang
2022 J jnl
Latent multi-view self-representations for clustering via the tensor nuclear norm.
Appl. Intell.
Gui-Fu Lu, JinBiao Zhao
2022 J jnl
One-step incomplete multiview clustering with low-rank tensor graph learning.
Inf. Sci.
Guangyan Ji, Gui-Fu Lu
2022 J jnl
Robust low-rank representation with adaptive graph regularization from clean data.
Appl. Intell.
Gui-Fu Lu, Yong Wang, Ganyi Tang
2022 J jnl
Tensor subspace clustering using consensus tensor low-rank representation.
Inf. Sci.
Bing Cai, Gui-Fu Lu
2021 — conf
Block Diagonal Sparse Subspace Clustering.
WCSP
Lili Fan, Gui-Fu Lu, Yong Wang, Tao Liu
2021 — conf
Improved Non-negative Matrix Factorization Algorithm for Sparse Graph Regularization.
ICPCSEE (1)
Caifeng Yang, Tao Liu, Gui-Fu Lu, Zhenxin Wang, Zhi Deng
2021 J jnl
Multi-view subspace clustering with Kronecker-basis-representation-based tensor sparsity measure.
Mach. Vis. Appl.
Gui-Fu Lu, Hua Li, Yong Wang, Ganyi Tang
2021 J jnl
δ-Norm-Based Robust Regression With Applications to Image Analysis.
IEEE Trans. Cybern.
Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-Fu Lu, Chen Gong
2020 J jnl
Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint.
Neural Networks
Gui-Fu Lu, Qin-Ru Yu, Yong Wang, Ganyi Tang
2020 J jnl
Using Algebra Graph Representation to Detect Pairwise-Constraint Software Faults.
IEEE Access
Yong Wang, Xiangyu Chen, Wan Zhou, Xuejuan Liu, Jun Li, Gui-Fu Lu
2019 J jnl
A Fast Rough Mode Decision Algorithm for HEVC.
J. Inf. Process. Syst.
Wei-Xin Yao, Dan Yang, Gui-Fu Lu, Jun Wang
2018 J jnl
Matrix exponential based discriminant locality preserving projections for feature extraction.
Neural Networks
Gui-Fu Lu, Yong Wang, Jian Zou, Zhongqun Wang
2018 J jnl
Sparse L1-norm-based linear discriminant analysis.
Multim. Tools Appl.
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
2017 J jnl
L1-norm based null space discriminant analysis.
Multim. Tools Appl.
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
2017 J jnl
Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise.
IEEE Trans. Neural Networks Learn. Syst.
Lei Luo, Jian Yang, Jianjun Qian, Ying Tai, Gui-Fu Lu
2016 J jnl
A New and Fast Implementation of Orthogonal LDA Algorithm and Its Incremental Extension.
Neural Process. Lett.
Gui-Fu Lu, Jian Zou, Yong Wang
2016 J jnl
Generalizing intersection kernel support vector machines for color texture based recognition.
J. Vis. Commun. Image Represent.
Jian Zou, Gui-Fu Lu, Yue Zhang, Chuancai Liu
2016 J jnl
Graph Maximum Margin Criterion for Face Recognition.
Neural Process. Lett.
Gui-Fu Lu, Yong Wang, Jian Zou
2016 J jnl
L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso.
Pattern Recognit.
Gui-Fu Lu, Jian Zou, Yong Wang
2016 J jnl
L1-norm-based principal component analysis with adaptive regularization.
Pattern Recognit.
Gui-Fu Lu, Jian Zou, Yong Wang, Zhongqun Wang
2016 J jnl
Low-Rank Matrix Factorization With Adaptive Graph Regularizer.
IEEE Trans. Image Process.
Gui-Fu Lu, Yong Wang, Jian Zou
2016 J jnl
Spare L1-norm-based maximum margin criterion.
J. Vis. Commun. Image Represent.
Gui-Fu Lu, Ganyi Tang, Jian Zou
2015 J jnl
Incremental learning from chunk data for IDR/QR.
Image Vis. Comput.
Gui-Fu Lu, Jian Zou, Yong Wang
2015 J jnl
Incremental maximum margin criterion based on eigenvalue decomposition updating algorithm.
Mach. Vis. Appl.
Gui-Fu Lu, Jian Zou
2013 J jnl
Complexity-reduced implementations of complete and null-space-based linear discriminant analysis.
Neural Networks
Gui-Fu Lu, Wenming Zheng
2013 J jnl
Improved complete neighbourhood preserving embedding for face recognition.
IET Comput. Vis.
Gui-Fu Lu, Yong Wang, Jian Zou
2013 J jnl
Object recognition using Gabor co-occurrence similarity.
Pattern Recognit.
Jian Zou, Chuancai Liu, Yue Zhang, Gui-Fu Lu
2012 J jnl
Face recognition using discriminant sparsity neighborhood preserving embedding.
Knowl. Based Syst.
Gui-Fu Lu, Zhong Jin, Jian Zou
2012 J jnl
Feature Extraction Using a Complete Kernel Extension of Supervised Graph Embedding.
Neural Process. Lett.
Gui-Fu Lu, Jian Zou
2012 J jnl
Feature extraction using a fast null space based linear discriminant analysis algorithm.
Inf. Sci.
Gui-Fu Lu, Yong Wang
2012 J jnl
Incremental complete LDA for face recognition.
Pattern Recognit.
Gui-Fu Lu, Jian Zou, Yong Wang
2012 J jnl
Incremental learning of complete linear discriminant analysis for face recognition.
Knowl. Based Syst.
Gui-Fu Lu, Jian Zou, Yong Wang
2012 J jnl
Incremental learning of discriminant common vectors for feature extraction.
Appl. Math. Comput.
Gui-Fu Lu, Jian Zou, Yong Wang
2011 J jnl
Face recognition using multi-scale differential invariants in statistical manifold framework.
Int. J. Data Min. Model. Manag.
Jian Zou, Chuancai Liu, Yue Zhang, Gui-Fu Lu
2011 J jnl
Orthogonal Complete Discriminant Locality Preserving Projections for Face Recognition.
Neural Process. Lett.
Gui-Fu Lu, Zhong Lin, Zhong Jin
2010 J jnl
Face recognition using discriminant locality preserving projections based on maximum margin criterion.
Pattern Recognit.
Gui-Fu Lu, Zhong Lin, Zhong Jin