Haixian Wang

发表

Training -Free Steady-State Visual Evoked Potential Brain–Computer Interface Based on Filter Bank Canonical Correlation Analysis and Spatiotemporal Beamforming Decoding

Peng Wang, Wenming Zheng, Sheng Ge, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Semi-supervised geometric mean of Kullback-Leibler divergences for subspace selection

Bin Luo, Haixian Wang, Sibao Chen, 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication

Haixian Wang, John Q. Gan, Lihan Wang, 2014, ISNN.

A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials

Keiji Iramina, Sheng Ge, Haixian Wang, 2017, IEEE Journal of Biomedical and Health Informatics.

Digital power system simulators applied to protective relay testing

Xiandong Ma, Haixian Wang, Jintong Wu, 1993 .

Image Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain

Haixian Wang, Li Zhao, Hancheng Yu, 2009, IEEE Transactions on Image Processing.

Identification of functional networks in resting state fMRI data using adaptive sparse representation and affinity propagation clustering

Xuan Li, Haixian Wang, Xuan Li, 2015, Front. Neurosci..

Constructing Brain Connectivity Graph by Modified Sparse Representation

Jing Ren, Haixian Wang, Haixian Wang, 2013, ICONIP.

A portable multi-functional real-time digital simulator dedicated to protective relay testing

Xiandong Ma, Haixian Wang, Zhicheng Liang, 1998 .

A Supervoxel-Based Method for Groupwise Whole Brain Parcellation with Resting-State fMRI Data

Jing Wang, Haixian Wang, Haixian Wang, 2016, Front. Hum. Neurosci..

Optimizing spatial filters for single-trial EEG classification via a discriminant extension to CSP: the Fisher criterion

Haixian Wang, 2011, Medical & Biological Engineering & Computing.

L1-norm based discriminative spatial pattern for single-trial EEG classification

Jing Wang, Qin Tang, Haixian Wang, 2014, Biomed. Signal Process. Control..

An efficient edge-based bilateral filter for restoring real noisy image

Li Zhao, Haixian Wang, Hancheng Yu, 2011, IEEE Transactions on Consumer Electronics.

Sparse-Network Based Framework for Detecting the Overlapping Community Structure of Brain Functional Network

Xuan Li, Haixian Wang, Zilan Hu, 2016, BICS.

L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction

Haixian Wang, Wenming Zheng, Zhouchen Lin, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Probabilistic two-dimensional principal component analysis and its mixture model for face recognition

Bin Luo, Haixian Wang, Sibao Chen, 2008, Neural Computing and Applications.

The Distribution of Classification Accuracy Over the Whole Head for a Steady State Visual Evoked Potential Based Brain-computer Interface

Sheng Ge, Haixian Wang, Yue Leng, 2017 .

One class support vector machine based filter for improving the classification accuracy of SSVEP BCI

Hui Liu, Keiji Iramina, Sheng Ge, 2017, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Local temporal common spatial patterns modulated with phase locking value

Haixian Wang, Zhenhua Yu, Na Fang, 2020, Biomed. Signal Process. Control..

Smooth Spatial Filter for Common Spatial Patterns

Xuan Li, Haixian Wang, 2013, ICONIP.

A novel index of functional connectivity: phase lag based on Wilcoxon signed rank test

Haixian Wang, Zhenhua Yu, Zhanli Li, 2020, Cognitive Neurodynamics.

Robust common spatial patterns with sparsity

Xuesong Lu, Haixian Wang, Xiaomeng Li, 2016, Biomed. Signal Process. Control..

Regularized common spatial patterns with subject-to-subject transfer of EEG signals

Haixian Wang, Zuhong Lu, Minmin Cheng, 2017, Cognitive Neurodynamics.

Small-sized real-time digital simulator for the test of protective relay.

Yu Chen, Xiandong Ma, Haixian Wang, 1999 .

Fisher Discriminant Analysis With L1-Norm

Xuesong Lu, Haixian Wang, Wenming Zheng, 2014, IEEE Transactions on Cybernetics.

Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals

Xuesong Lu, Haixian Wang, Xingliang Xiong, 2020, ICONIP.

Kernel Principal Component Analysis for Large Scale Data Set

Haixian Wang, Zilan Hu, Yu'e Zhao, 2006, ICIC.

Motion artifacts removal for fNIRS data based on independent component analysis

Sheng Ge, Haixian Wang, Yue Leng, 2015, 2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

Local discriminative spatial patterns for movement-related potentials-based EEG classification

Haixian Wang, Jiang Xu, Haixian Wang, 2011, Biomed. Signal Process. Control..

Comprehensive Common Spatial Patterns With Temporal Structure Information of EEG Data: Minimizing Nontask Related EEG Component

Dong Xu, Haixian Wang, Dong Xu, 2012, IEEE Transactions on Biomedical Engineering.

A new feature extraction method for image recognition using structural two-dimensional locality preserving projections

Haixian Wang, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Robust maximum signal fraction analysis for blind source separation

Xuesong Lu, Haixian Wang, Xiaomeng Li, 2017, IET Signal Process..

Robust sparsity-preserved learning with application to image visualization

Haixian Wang, Wenming Zheng, Haixian Wang, 2013, Knowledge and Information Systems.

Correntropy induced metric based common spatial patterns

Nanning Zheng, Badong Chen, Na Lu, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

On EM Estimation for Mixture of Multivariate t-Distributions

Haixian Wang, Zilan Hu, Z. Hu, 2009, Neural Processing Letters.

Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test

Haixian Wang, John Q. Gan, J. Q. Gan, 2017, ICONIP.

Structural two-dimensional principal component analysis for image recognition

Haixian Wang, Haixian Wang, 2011, Machine Vision and Applications.

Local Two-Dimensional Canonical Correlation Analysis

Haixian Wang, Haixian Wang, 2010, IEEE Signal Processing Letters.

An unified EM algorithm for PCA and KPCA

Haixian Wang, Zilan Hu, 2007, Neurocomputing.

Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering

Jing Wang, Haixian Wang, Zilan Hu, 2016, ICONIP.

Weighted Brain Network Metrics for Decoding Action Intention Understanding Based on EEG

Xuesong Lu, Tian Ma, Haixian Wang, 2020, Frontiers in Human Neuroscience.

Generalization of Local Temporal Correlation Common Spatial Patterns Using Lp-norm (0 < p < 2)

Haixian Wang, Na Fang, 2017, ICONIP.

2DPCA with L1-norm for simultaneously robust and sparse modelling

Jing Wang, Haixian Wang, J. Wang, 2013, Neural Networks.

Locally principal component analysis based on L1-norm maximisation

Haixian Wang, Guanyou Lin, Nianzu Tang, 2015, IET Image Process..

On alpha-mean of Kullback-Leibler divergences for subspace selection

Bin Luo, Haixian Wang, Sibao Chen, 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Local Temporal Common Spatial Patterns for Robust Single-Trial EEG Classification

Haixian Wang, Wenming Zheng, Wenming Zheng, 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Greedy EM algorithm for robust t-mixture modeling

Bin Luo, Haixian Wang, Sibao Chen, 2004, Third International Conference on Image and Graphics (ICIG'04).

An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition

Haixian Wang, Zilan Hu, Yu'e Zhao, 2007, Pattern Recognit. Lett..

Spatiotemporal Phase Synchronization in Adaptive Reconfiguration from Action Observation Network to Mentalizing Network for Understanding Other’s Action Intention

Haixian Wang, Wenming Zheng, Li Zhang, 2018, Brain Topography.

Discriminant and adaptive extensions to local temporal common spatial patterns

Haixian Wang, 2013, Pattern Recognit. Lett..

From Feature Space to Primal Space: KPCA and Its Mixture Model

Haixian Wang, 2010 .

Local and Weighted Maximum Margin Discriminant Analysis

Haixian Wang, Wenming Zheng, Sibao Chen, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

An optimal design of the extrapolated impulse response filter with analytical solutions

Hao Wang, Haixian Wang, Shiliang Fang, 2012, Signal Process..

A Brain-Computer Interface Based on a Few-Channel EEG-fNIRS Bimodal System

Qing Yang, Sheng Ge, Haixian Wang, 2017, IEEE Access.

Multiclass Filters by a Weighted Pairwise Criterion for EEG Single-Trial Classification

Haixian Wang, 2011, IEEE Transactions on Biomedical Engineering.

Local Temporal Joint Recurrence Common Spatial Patterns for MI-based BCI

Xuesong Lu, Haixian Wang, Zhanli Li, 2020, 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).

Classifying action intention understanding EEG signals based on weighted brain network metric features

Haixian Wang, Zhenhua Yu, Xuesong Lu, 2020, Biomed. Signal Process. Control..

Robust mixture modelling using multivariate

Bin Luo, Haixian Wang, Sui Wei, 2004, Pattern Recognit. Lett..

Image Recognition Using Weighted Two-Dimensional Maximum Margin Criterion

Haixian Wang, Sibao Chen, Zilan Hu, 2007, Third International Conference on Natural Computation (ICNC 2007).

Optimized Gamma Synchronization Enhances Functional Binding of Fronto-Parietal Cortices in Mathematically Gifted Adolescents during Deductive Reasoning

Haixian Wang, John Q. Gan, Li Zhang, 2014, Front. Hum. Neurosci..

Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm

Bin Luo, Haixian Wang, Sui Wei, 2004, Pattern Recognit. Lett..

A Fast Feature Extraction Method for Kernel 2DPCA

Ning Sun, Haixian Wang, Cairong Zou, 2006, ICIC.

Application of Phase Space Reconstruction in a Few-Channel EEG-NIRS Bimodal Brain-Computer Interface System

Qing Yang, Sheng Ge, Haixian Wang, 2017, 2017 International Conference on Computing Intelligence and Information System (CIIS).

Block principal component analysis with L1-norm for image analysis

Haixian Wang, Haixian Wang, 2012, Pattern Recognit. Lett..

An efficient algorithm for Kernel two-dimensional principal component analysis

Ning Sun, Haixian Wang, Cairong Zou, 2007, Neural Computing and Applications.

EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness

Li Zhang, Haixian Wang, John Q. Gan, 2013, ICONIP.

Locality-Preserved Maximum Information Projection

Haixian Wang, Wenming Zheng, Sibao Chen, 2008, IEEE Transactions on Neural Networks.

On Dynamic Weighting of Data in Clustering with K-Alpha Means

Bin Luo, Haixian Wang, Sibao Chen, 2010, 2010 20th International Conference on Pattern Recognition.

Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials

Zuhong Lu, Haixian Wang, Minmin Cheng, 2014, ICONIP.

An Efficient Procedure for Removing Random-Valued Impulse Noise in Images

Haixian Wang, Li Zhao, Hancheng Yu, 2008, IEEE Signal Processing Letters.

Motion detection with spatiotemporal sequences

Tong Zhang, Haixian Wang, T. Zhang, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Haixian Wang, John Q. Gan, J. Q. Gan, 2018, NeuroImage.

Subspace selection using semi-supervised harmonic mean of Kullback-Leibler divergences

Haixian Wang, Bin Luo, Si-Bao Chen, 2010, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery.

Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection

Haixian Wang, Zilan Hu, Xuan Li, 2018, Cognitive Computation.

Semi‐supervised classification of facial expression using a mixture of multivariate t distributions

Haixian Wang, Haixian Wang, 2011, Expert Syst. J. Knowl. Eng..

Face Recognition Using Probabilistic Two-Dimensional Principal Component Analysis and Its Mixture Model

Haixian Wang, Zilan Hu, 2006, ICNC.

Temporally Local Maximum Signal Fraction Analysis for Artifact Removal From Biomedical Signals

Haixian Wang, Haixian Wang, 2010, IEEE Transactions on Signal Processing.

Structured sparse linear graph embedding

Haixian Wang, Haixian Wang, 2012, Neural Networks.

Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods

Hui Liu, Keiji Iramina, Sheng Ge, 2017, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Harmonic Mean of Kullback–Leibler Divergences for Optimizing Multi-Class EEG Spatio-Temporal Filters

Haixian Wang, 2012, Neural Processing Letters.

L1-Norm-Based Common Spatial Patterns

Qin Tang, Haixian Wang, Wenming Zheng, 2012, IEEE Transactions on Biomedical Engineering.

Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization

Xuan Li, Haixian Wang, Zilan Hu, 2016, ICONIP.