Zhihui Lai

According to our database1, Zhihui Lai authored at least 142 papers between 2009 and 2020.

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

Timeline

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Bibliography

2020
Study on 2D Feature-Based Hash Learning.
IEEE Trans. Multim., 2020

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

Adaptive Locality Preserving Regression.
IEEE Trans. Circuits Syst. Video Technol., 2020

Bilinear Supervised Hashing Based on 2D Image Features.
IEEE Trans. Circuits Syst. Video Technol., 2020

Structured optimal graph based sparse feature extraction for semi-supervised learning.
Signal Process., 2020

Image decomposition based matrix regression with applications to robust face recognition.
Pattern Recognit., 2020

Robust face alignment by cascaded regression and de-occlusion.
Neural Networks, 2020

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

Discriminative low-rank projection for robust subspace learning.
Int. J. Mach. Learn. Cybern., 2020

Discriminative deep multi-task learning for facial expression recognition.
Inf. Sci., 2020

Multigranulation rough-fuzzy clustering based on shadowed sets.
Inf. Sci., 2020

Think about boundary: Fusing multi-level boundary information for landmark heatmap regression.
CoRR, 2020

SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition Regions.
IEEE Access, 2020

Investigation on the Impact-Based Energy Conversion of a Dielectric Elastomer Membrane.
IEEE Access, 2020

Nuclear-Norm-Based Jointly Sparse Regression for Two-Dimensional Image Regression.
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

Wavelet Integrated CNNs for Noise-Robust Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Feature Learning and Understanding - Algorithms and Applications
Information Fusion and Data Science, Springer, ISBN: 978-3-030-40793-3, 2020

2019
Locally Joint Sparse Marginal Embedding for Feature Extraction.
IEEE Trans. Multim., 2019

Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding.
IEEE Trans. Image Process., 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

Generalized Robust Regression for Jointly Sparse Subspace Learning.
IEEE Trans. Circuits Syst. Video Technol., 2019

Robust Jointly Sparse Regression with Generalized Orthogonal Learning for Image Feature Selection.
Pattern Recognit., 2019

Binary sparse signal recovery algorithms based on logic observation.
Pattern Recognit., 2019

A general tensor representation framework for cross-view gait recognition.
Pattern Recognit., 2019

Generalized Discriminant Local Median Preserving Projections (GDLMPP) for Face Recognition.
Neural Process. Lett., 2019

Global-and-local-structure-based neural network for fault detection.
Neural Networks, 2019

Neighborhood preserving neural network for fault detection.
Neural Networks, 2019

Principal Component Analysis based on Nuclear norm Minimization.
Neural Networks, 2019

An improve face representation and recognition method based on graph regularized non-negative matrix factorization.
Multim. Tools Appl., 2019

Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance.
Inf. Sci., 2019

Noisy low-tubal-rank tensor completion.
Neurocomputing, 2019

Constrained shadowed sets and fast optimization algorithm.
Int. J. Intell. Syst., 2019

Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction.
Int. J. Approx. Reason., 2019

Robust Locally Discriminant Analysis via Capped Norm.
IEEE Access, 2019

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

Robust Object Tracking Based on Multi-granularity Sparse Representation.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

Pedestrian re-Identification Based on Tree Branch Network with Local and Global Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Introspective Gan for Meshface Recognition.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Supervised Hashing With Anchor Graph.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Robust Low-tubal-rank Tensor Completion.
Proceedings of the IEEE International Conference on Acoustics, 2019

Generalized Dantzig Selector for Low-tubal-rank Tensor Recovery.
Proceedings of the IEEE International Conference on Acoustics, 2019

Latent Schatten TT Norm for Tensor Completion.
Proceedings of the IEEE International Conference on Acoustics, 2019

Latent Spatial Features Based on Generative Adversarial Networks for Face Anti-spoofing.
Proceedings of the Biometric Recognition - 14th Chinese Conference, 2019

2018
Regularized Label Relaxation Linear Regression.
IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Latent Subspace Learning for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Low-Rank Linear Embedding for Image Recognition.
IEEE Trans. Multim., 2018

Jointly Sparse Hashing for Image Retrieval.
IEEE Trans. Image Process., 2018

Robust Discriminant Regression for Feature Extraction.
IEEE Trans. Cybern., 2018

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

New semi-supervised classification using a multi-modal feature joint L21-norm based sparse representation.
Signal Process. Image Commun., 2018

Multi-Frequency Signal Detection Based on Frequency Exchange and Re-Scaling Stochastic Resonance and Its Application to Weak Fault Diagnosis.
Sensors, 2018

Supervised discrete discriminant hashing for image retrieval.
Pattern Recognit., 2018

Local sparsity preserving projection and its application to biometric recognition.
Multim. Tools Appl., 2018

Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition.
Multim. Tools Appl., 2018

Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets.
Knowl. Based Syst., 2018

Maximum decision entropy-based attribute reduction in decision-theoretic rough set model.
Knowl. Based Syst., 2018

Robust jointly sparse regression and its applications.
J. Ambient Intell. Humaniz. Comput., 2018

Nuclear norm based two-dimensional sparse principal component analysis.
Int. J. Wavelets Multiresolution Inf. Process., 2018

Medical Image Enhancement Method Based on the Fractional Order Derivative and the Directional Derivative.
Int. J. Pattern Recognit. Artif. Intell., 2018

Robust principal component analysis via optimal mean by joint ℓ<sub>2, 1</sub> and Schatten <i>p</i>-norms minimization.
Neurocomputing, 2018

Robust jointly sparse embedding for dimensionality reduction.
Neurocomputing, 2018

An integrated optimisation algorithm for feature extraction, dictionary learning and classification.
Neurocomputing, 2018

Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations.
IEEE Access, 2018

Jointly Sparse Reconstructed Regression Learning.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Adaptive Locality Preserving based Discriminative Regression.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Discriminative Principal Component Analysis.
Proceedings of the Biometric Recognition - 13th Chinese Conference, 2018

2017
A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2017

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

Discriminative Elastic-Net Regularized Linear Regression.
IEEE Trans. Image Process., 2017

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

Directional Gaussian Model for Automatic Speeding Event Detection.
IEEE Trans. Inf. Forensics Secur., 2017

Rotational Invariant Dimensionality Reduction Algorithms.
IEEE Trans. Cybern., 2017

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

Active AU Based Patch Weighting for Facial Expression Recognition.
Sensors, 2017

Joint sparse principal component analysis.
Pattern Recognit., 2017

Orthogonal self-guided similarity preserving projection for classification and clustering.
Neural Networks, 2017

Feature Extraction via Sparse Difference Embedding (SDE).
KSII Trans. Internet Inf. Syst., 2017

Local graph embedding based on maximum margin criterion via fuzzy set.
Fuzzy Sets Syst., 2017

Nuclear norm regularized coding with local position-patch and nonlocal similarity for face hallucination.
Digit. Signal Process., 2017

Multi-Manifold Locality Graph Embedding Based on the Maximum Margin Criterion (MLGE/MMC) for Face Recognition.
IEEE Access, 2017

Joint Sparse Locality Preserving Projections.
Proceedings of the Smart Computing and Communication, 2017

Multi-feature Joint Dictionary Learning for Face Recognition.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

Robust Jointly Sparse Regression for Image Feature Selection.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

Coarse-to-Fine Age Progression Based on Conditional GANs.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
Approximate Orthogonal Sparse Embedding for Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Truncated Nuclear Norm Regularization Method Based on Weighted Residual Error for Matrix Completion.
IEEE Trans. Image Process., 2016

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

Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation.
IEEE Trans. Cybern., 2016

The L<sub>2, 1</sub>-norm-based unsupervised optimal feature selection with applications to action recognition.
Pattern Recognit., 2016

Projective robust nonnegative factorization.
Inf. Sci., 2016

Breast cancer discriminant feature analysis for diagnosis via jointly sparse learning.
Neurocomputing, 2016

Adaptive linear discriminant regression classification for face recognition.
Digit. Signal Process., 2016

Mutli-channel micro-structure difference descriptor for image retrieval.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Sparse Nuclear Norm Two Dimensional Principal Component Analysis.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

Saliency-Based Person Re-identification by Probability Histogram.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
A Framework of Joint Graph Embedding and Sparse Regression for Dimensionality Reduction.
IEEE Trans. Image Process., 2015

Learning a Nonnegative Sparse Graph for Linear Regression.
IEEE Trans. Image Process., 2015

Joint Tensor Feature Analysis For Visual Object Recognition.
IEEE Trans. Cybern., 2015

RPCA-Based Tumor Classification Using Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Sparse nonlocal priors based two-phase approach for mixed noise removal.
Signal Process., 2015

Generalized Parameter-Adjusted Stochastic Resonance of Duffing Oscillator and Its Application to Weak-Signal Detection.
Sensors, 2015

Manifold discriminant regression learning for image classification.
Neurocomputing, 2015

Orthogonal self-guided similarity preserving projections.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Band selection for Gabor feature based hyperspectral palmprint recognition.
Proceedings of the International Conference on Biometrics, 2015

2014
Multilinear Sparse Principal Component Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2014

Sparse Alignment for Robust Tensor Learning.
IEEE Trans. Neural Networks Learn. Syst., 2014

Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models.
IEEE Trans. Neural Networks Learn. Syst., 2014

Integrating Conventional and Inverse Representation for Face Recognition.
IEEE Trans. Cybern., 2014

Joint Video Frame Set Division and Low-Rank Decomposition for Background Subtraction.
IEEE Trans. Circuits Syst. Video Technol., 2014

Human Gait Recognition via Sparse Discriminant Projection Learning.
IEEE Trans. Circuits Syst. Video Technol., 2014

Face recognition by sparse discriminant analysis via joint L<sub>2, 1</sub>-norm minimization.
Pattern Recognit., 2014

Graph embedding discriminant analysis for face recognition.
Neural Comput. Appl., 2014

Optimal representation set construction with a competitive scheme for palmprint and face recognition.
Int. J. Comput. Math., 2014

Optimal Feature Selection for Robust Classification via l2, 1-Norms Regularization.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Sparse Tensor Discriminant Analysis.
IEEE Trans. Image Process., 2013

Local sparse representation projections for face recognition.
Neural Comput. Appl., 2013

Using the idea of the sparse representation to perform coarse-to-fine face recognition.
Inf. Sci., 2013

K-local hyperplane distance nearest neighbor classifier oriented local discriminant analysis.
Inf. Sci., 2013

Two-dimensional color uncorrelated discriminant analysis for face recognition.
Neurocomputing, 2013

Sparse Principal Component Analysis via Joint L 2, 1-Norm Penalty.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012
Sparse Approximation to the Eigensubspace for Discrimination.
IEEE Trans. Neural Networks Learn. Syst., 2012

Fuzzy local maximal marginal embedding for feature extraction.
Soft Comput., 2012

Fisher Difference Discriminant Analysis: Determining the Effective Discriminant Subspace Dimensions for Face Recognition.
Neural Process. Lett., 2012

Dynamic transition embedding for image feature extraction and recognition.
Neural Comput. Appl., 2012

Feature extraction based on fuzzy class mean embedding (FCME) with its application to face and palm biometrics.
Mach. Vis. Appl., 2012

A Competitive Sample Selection Method for Palmprint Recognition.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2011
Locally Minimizing Embedding and Globally Maximizing Variance: Unsupervised Linear Difference Projection for Dimensionality Reduction.
Neural Process. Lett., 2011

Locality preserving embedding for face and handwriting digital recognition.
Neural Comput. Appl., 2011

Maximal local interclass embedding with application to face recognition.
Mach. Vis. Appl., 2011

Multi-scale gist feature manifold for building recognition.
Neurocomputing, 2011

Sparse two-dimensional local discriminant projections for feature extraction.
Neurocomputing, 2011

Feature extraction using two-dimensional local graph embedding based on maximum margin criterion.
Appl. Math. Comput., 2011

Sparse bilinear preserving projections.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Sparse Embedding Visual Attention Systems Combined with Edge Information.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Feature Extraction Based on Class Mean Embedding (CME).
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Sparse Local Discriminant Projections for Feature Extraction.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Fuzzy maximal marginal embedding and its application.
Proceedings of the International Conference on Image Processing, 2010

Tangent space discriminant analysis for feature extraction.
Proceedings of the International Conference on Image Processing, 2010

2009
Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics.
Neurocomputing, 2009


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