Yuwu Lu

Orcid: 0000-0003-1215-4915

According to our database1, Yuwu Lu authored at least 44 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Approximate geometric structure transfer for cross-domain image classification.
Pattern Recognit., 2025

2024
Correlation-Guided Distribution and Geometry Alignments for Heterogeneous Domain Adaptation.
IEEE Trans. Multim., 2024

Low-Rank Correlation Learning for Unsupervised Domain Adaptation.
IEEE Trans. Multim., 2024

Multi-Source and Multi-Target Domain Adaptation Based on Dynamic Generator with Attention.
IEEE Trans. Multim., 2024

Graph correlated discriminant embedding for multi-source domain adaptation.
Pattern Recognit., 2024

Heterogeneous domain adaptation via incremental discriminative knowledge consistency.
Pattern Recognit., 2024

A joint learning framework for optimal feature extraction and multi-class SVM.
Inf. Sci., 2024

Pseudolabel Distillation with Adversarial Contrastive Learning for Semisupervised Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis.
IEEE Trans. Big Data, December, 2023

Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering.
Inf. Fusion, December, 2023

Guided Discrimination and Correlation Subspace Learning for Domain Adaptation.
IEEE Trans. Image Process., 2023

Cross-domain structure learning for visual data recognition.
Pattern Recognit., 2023

2022
Discriminative Invariant Alignment for Unsupervised Domain Adaptation.
IEEE Trans. Multim., 2022

Weighted Correlation Embedding Learning for Domain Adaptation.
IEEE Trans. Image Process., 2022

Canonical Correlation Analysis With Low-Rank Learning for Image Representation.
IEEE Trans. Image Process., 2022

Correlated Matching and Structure Learning for Unsupervised Domain Adaptation.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021
Manifold Transfer Learning via Discriminant Regression Analysis.
IEEE Trans. Multim., 2021

Progressive Distribution Alignment Based on Label Correction for Unsupervised Domain Adaptation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Robust Flexible Preserving Embedding.
IEEE Trans. Cybern., 2020

Low-rank discriminative regression learning for image classification.
Neural Networks, 2020

Canonical Correlation Cross-Domain Alignment for Unsupervised Domain Adaptation.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Canonical Correlation Discriminative Learning for Domain Adaptation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019
Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation.
IEEE Trans. Cybern., 2019

Horizontal and Vertical Nuclear Norm-Based 2DLDA for Image Representation.
IEEE Trans. Circuits Syst. Video Technol., 2019

Structurally Incoherent Low-Rank 2DLPP for Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2019

Robust Embedding Regression for Face Recognition.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

2018
Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification.
IEEE Trans. Image Process., 2018

Learning Parts-Based and Global Representation for Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2018

2017
Nuclear Norm-Based 2DLPP for Image Classification.
IEEE Trans. Multim., 2017

Low-Rank Embedding for Robust Image Feature Extraction.
IEEE Trans. Image Process., 2017

Nonnegative Discriminant Matrix Factorization.
IEEE Trans. Circuits Syst. Video Technol., 2017

2016
Low-Rank Preserving Projections.
IEEE Trans. Cybern., 2016

Projective robust nonnegative factorization.
Inf. Sci., 2016

Corrigendum to "Adaptive Weighted Fusion: A novel fusion approach for image classification" Neurocomputing, volume 168 (2015), 566-574.
Neurocomputing, 2016

2015
Adaptive weighted fusion: A novel fusion approach for image classification.
Neurocomputing, 2015

Manifold discriminant regression learning for image classification.
Neurocomputing, 2015

Low Rank Analysis of Eye Image Sequence - A Novel Basis for Face Liveness Detection.
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014
Kernel linear regression for face recognition.
Neural Comput. Appl., 2014

Enhancing sparsity via full rank decomposition for robust face recognition.
Neural Comput. Appl., 2014

A hybrid fusion scheme for color face recognition.
Proceedings of the International Conference on Smart Computing, 2014

Kernel sparse representation based classification for undersampled problem.
Proceedings of the International Conference on Smart Computing, 2014

2013
Using the original and 'symmetrical face' training samples to perform representation based two-step face recognition.
Pattern Recognit., 2013

Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features.
Proceedings of the Genetic and Evolutionary Computing, 2013

2011
A New Population Migration Algorithm Based on the Chaos Theory.
Proceedings of the 2nd International Symposium on Intelligence Information Processing and Trusted Computing, 2011


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