Haixian Wang

Orcid: 0000-0001-8220-9737

According to our database1, Haixian Wang authored at least 89 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest.
Medical Biol. Eng. Comput., February, 2024

Effect of animal behavior on EEG microstates in healthy children: An outdoor observation task.
J. Intell. Fuzzy Syst., 2024

EEG Microstate-Functional Connectivity of Observing Animals' Behavior in Healthy Children.
Proceedings of the 2024 8th International Conference on Control Engineering and Artificial Intelligence, 2024

2023
Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data.
IEEE Trans. Biomed. Eng., November, 2023

Capped L21-norm-based common spatial patterns for EEG signals classification applicable to BCI systems.
Medical Biol. Eng. Comput., May, 2023

Block Distributed Joint Temporal-Frequency- Phase Modulation for Steady-State Visual Evoked Potential Based Brain-Computer Interface With a Limited Number of Frequencies.
IEEE J. Biomed. Health Informatics, April, 2023

Effective Connectivity Analysis and Classification of Action Observation From Different Perspectives: An fMRI Study.
IEEE Trans. Biomed. Eng., February, 2023

Effective connectivity analysis of brain networks of mathematically gifted adolescents using transfer entropy.
J. Intell. Fuzzy Syst., 2023

Prediction of brain age based on the community structure of functional networks.
Biomed. Signal Process. Control., 2023

2022
Euler common spatial patterns for EEG classification.
Medical Biol. Eng. Comput., 2022

Euler common spatial pattern modulated with cross-frequency coupling.
Knowl. Inf. Syst., 2022

Multi-class classification of action intention understanding brain signals based on thresholding graph metric.
J. Intell. Fuzzy Syst., 2022

EEG-based Emotion Recognition Using Multiple Kernel Learning.
Int. J. Autom. Comput., 2022

2021
Common Spatial Pattern with L21-Norm.
Neural Process. Lett., 2021

Action Intention Understanding EEG Signal Classification Based on Improved Discriminative Spatial Patterns.
Comput. Intell. Neurosci., 2021

Multilinear Discriminative Spatial Patterns for Movement-Related Cortical Potential Based on EEG Classification with Tensor Representation.
Comput. Intell. Neurosci., 2021

EEG-Based Classification of Lower Limb Motor Imagery with STFT and CNN.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Neural Dissociations between Magnitude Processing of Fractions and Decimals.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Directed Connectivity Analysis of the Brain Network in Mathematically Gifted Adolescents.
Comput. Intell. Neurosci., 2020

Local temporal common spatial patterns modulated with phase locking value.
Biomed. Signal Process. Control., 2020

Classifying action intention understanding EEG signals based on weighted brain network metric features.
Biomed. Signal Process. Control., 2020

Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction Methods.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Random matrix theory for analysing the brain functional network in lower limb motor imagery.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Common spatial patterns combined with phase synchronization information for classification of EEG signals.
Biomed. Signal Process. Control., 2019

2018
Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain-Computer Interfaces.
IEEE J. Biomed. Health Informatics, 2018

Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks.
NeuroImage, 2018

Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection.
Cogn. Comput., 2018

2017
A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials.
IEEE J. Biomed. Health Informatics, 2017

Robust maximum signal fraction analysis for blind source separation.
IET Signal Process., 2017

A Brain-Computer Interface Based on a Few-Channel EEG-fNIRS Bimodal System.
IEEE Access, 2017

Correntropy induced metric based common spatial patterns.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Generalization of Local Temporal Correlation Common Spatial Patterns Using Lp-norm (0 < p < 2).
Proceedings of the Neural Information Processing - 24th International Conference, 2017

One class support vector machine based filter for improving the classification accuracy of SSVEP BCI.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Robust common spatial patterns with sparsity.
Biomed. Signal Process. Control., 2016

Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Sparse-Network Based Framework for Detecting the Overlapping Community Structure of Brain Functional Network.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2015
Locally principal component analysis based on L1-norm maximisation.
IET Image Process., 2015

2014
L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2014

Fisher Discriminant Analysis With L1-Norm.
IEEE Trans. Cybern., 2014

Robust sparsity-preserved learning with application to image visualization.
Knowl. Inf. Syst., 2014

L1-norm based discriminative spatial pattern for single-trial EEG classification.
Biomed. Signal Process. Control., 2014

CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Motion detection with spatiotemporal sequences.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Discriminant and adaptive extensions to local temporal common spatial patterns.
Pattern Recognit. Lett., 2013

2DPCA with L1-norm for simultaneously robust and sparse modelling.
Neural Networks, 2013

EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Constructing Brain Connectivity Graph by Modified Sparse Representation.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Smooth Spatial Filter for Common Spatial Patterns.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Comprehensive Common Spatial Patterns With Temporal Structure Information of EEG Data: Minimizing Nontask Related EEG Component.
IEEE Trans. Biomed. Eng., 2012

L1-Norm-Based Common Spatial Patterns.
IEEE Trans. Biomed. Eng., 2012

An optimal design of the extrapolated impulse response filter with analytical solutions.
Signal Process., 2012

Block principal component analysis with L1-norm for image analysis.
Pattern Recognit. Lett., 2012

Harmonic Mean of Kullback-Leibler Divergences for Optimizing Multi-Class EEG Spatio-Temporal Filters.
Neural Process. Lett., 2012

Structured sparse linear graph embedding.
Neural Networks, 2012

2011
An efficient edge-based bilateral filter for restoring real noisy image.
IEEE Trans. Consumer Electron., 2011

Multiclass Filters by a Weighted Pairwise Criterion for EEG Single-Trial Classification.
IEEE Trans. Biomed. Eng., 2011

Structural two-dimensional principal component analysis for image recognition.
Mach. Vis. Appl., 2011

Optimizing spatial filters for single-trial EEG classification via a discriminant extension to CSP: the Fisher criterion.
Medical Biol. Eng. Comput., 2011

Semi-supervised classification of facial expression using a mixture of multivariate <i>t</i> distributions.
Expert Syst. J. Knowl. Eng., 2011

Local discriminative spatial patterns for movement-related potentials-based EEG classification.
Biomed. Signal Process. Control., 2011

On alpha-mean of Kullback-Leibler divergences for subspace selection.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Semi-supervised geometric mean of Kullback-Leibler divergences for subspace selection.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
Temporally local maximum signal fraction analysis for artifact removal from biomedical signals.
IEEE Trans. Signal Process., 2010

Local Two-Dimensional Canonical Correlation Analysis.
IEEE Signal Process. Lett., 2010

On Dynamic Weighting of Data in Clustering with K-Alpha Means.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Subspace selection using semi-supervised harmonic mean of Kullback-Leibler divergences.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009
Image Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain.
IEEE Trans. Image Process., 2009

On EM Estimation for Mixture of Multivariate <i>t</i>-Distributions.
Neural Process. Lett., 2009

A new feature extraction method for image recognition using structural two-dimensional locality preserving projections.
Proceedings of the International Conference on Image Processing, 2009

2008
Locality-Preserved Maximum Information Projection.
IEEE Trans. Neural Networks, 2008

An Efficient Procedure for Removing Random-Valued Impulse Noise in Images.
IEEE Signal Process. Lett., 2008

Probabilistic two-dimensional principal component analysis and its mixture model for face recognition.
Neural Comput. Appl., 2008

An efficient algorithm for Kernel two-dimensional principal component analysis.
Neural Comput. Appl., 2008

A local time Fukunage-Koontz transformation for speech emotional recognition.
Proceedings of the 2008 International Conference on Advanced Infocomm Technology, 2008

2007
An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition.
Pattern Recognit. Lett., 2007

An unified EM algorithm for PCA and KPCA.
Neurocomputing, 2007

Image Recognition Using Weighted Two-Dimensional Maximum Margin Criterion.
Proceedings of the Third International Conference on Natural Computation, 2007

Local and Weighted Maximum Margin Discriminant Analysis.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Face Recognition Using Probabilistic Two-Dimensional Principal Component Analysis and Its Mixture Model.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Kernel Principal Component Analysis for Large Scale Data Set.
Proceedings of the Intelligent Computing, 2006

A Fast Feature Extraction Method for Kernel 2DPCA.
Proceedings of the Intelligent Computing, 2006

2004
Robust mixture modelling using multivariate.
Pattern Recognit. Lett., 2004

Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm.
Pattern Recognit. Lett., 2004

Greedy EM algorithm for robust t-mixture modeling.
Proceedings of the Third International Conference on Image and Graphics, 2004


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