Haixian Wang

93 papers A* 1B 2C 1Misc 2Journal 61Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Impact of fatigue levels on EEG-based personal recognition.
Medical Biol. Eng. Comput.
Xinghan Shao, C. Chang, Haixian Wang
2025 J jnl
An Interpretable Contrastive Learning Transformer for EEG-Based Person Identification.
IEEE Trans. Inf. Forensics Secur.
Xinghan Shao, C. Chang, John Q. Gan, Haixian Wang
2025 J jnl
Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer.
CoRR
Runkai Zhang, Hua Yu, John Q. Gan, Haixian Wang
2025 J jnl
Lightweight Source-Free Domain Adaptation Based on Adaptive Euclidean Alignment for Brain-Computer Interfaces.
IEEE J. Biomed. Health Informatics
Huiyang Wang, Hongfang Han, John Q. Gan, Haixian Wang
2025 J jnl
Paradigm fusion learning from overt and silent chinese speech based on pseudo-siamese multiscale capsule neural network.
Speech Commun.
Jingyu Gu, John Q. Gan, Haixian Wang
2024 — conf
EEG Microstate-Functional Connectivity of Observing Animals' Behavior in Healthy Children.
CCEAI
Haixian Wang, Xiaoting Ding
2024 J jnl
Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest.
Medical Biol. Eng. Comput.
Runkai Zhang, Rong Rong, John Q. Gan, Yun Xu, Haixian Wang, Xiaoyun Wang
2023 J jnl
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
Sheng Ge, Hui Yang, Ruimin Wang, Yue Leng, Keiji Iramina, Pan Lin, Haixian Wang
2023 J jnl
Capped L21-norm-based common spatial patterns for EEG signals classification applicable to BCI systems.
Medical Biol. Eng. Comput.
Jingyu Gu, Jiuchuan Jiang, Sheng Ge, Haixian Wang
2023 J jnl
Effective Connectivity Analysis and Classification of Action Observation From Different Perspectives: An fMRI Study.
IEEE Trans. Biomed. Eng.
Sheng Ge, Jing He, Pan Lin, Ruimin Wang, Keiji Iramina, Yue Leng, Haixian Wang, Wenming Zheng, Chaoyong Xiao, Zonghong Li
2023 J jnl
Effective connectivity analysis of brain networks of mathematically gifted adolescents using transfer entropy.
J. Intell. Fuzzy Syst.
Yakun Zhu, Weiqiang Gong, Xuesong Lu, Haixian Wang
2023 J jnl
Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data.
IEEE Trans. Biomed. Eng.
Huiyang Wang, Jiuchuan Jiang, John Q. Gan, Haixian Wang
2023 J jnl
Prediction of brain age based on the community structure of functional networks.
Biomed. Signal Process. Control.
Hongfang Han, Sheng Ge, Haixian Wang
2022 J jnl
EEG-based Emotion Recognition Using Multiple Kernel Learning.
Int. J. Autom. Comput.
Qian Cai, Guo-Chong Cui, Haixian Wang
2022 J jnl
Euler common spatial pattern modulated with cross-frequency coupling.
Knowl. Inf. Syst.
Jing Sun, Haixian Wang, Jiuchuan Jiang
2022 J jnl
Euler common spatial patterns for EEG classification.
Medical Biol. Eng. Comput.
Jing Sun, Mengting Wei, Ning Luo, Zhanli Li, Haixian Wang
2022 J jnl
Multi-class classification of action intention understanding brain signals based on thresholding graph metric.
J. Intell. Fuzzy Syst.
Qian Cai, Xingliang Xiong, Weiqiang Gong, Haixian Wang
2021 J jnl
Action Intention Understanding EEG Signal Classification Based on Improved Discriminative Spatial Patterns.
Comput. Intell. Neurosci.
Xingliang Xiong, Hua Yu, Haixian Wang, Jiuchuan Jiang
2021 J jnl
Common Spatial Pattern with L21-Norm.
Neural Process. Lett.
Jingyu Gu, Mengting Wei, Yiyun Guo, Haixian Wang
2021 — conf
EEG-Based Classification of Lower Limb Motor Imagery with STFT and CNN.
ICONIP (6)
Boyang Lu, Sheng Ge, Haixian Wang
2021 J jnl
Multilinear Discriminative Spatial Patterns for Movement-Related Cortical Potential Based on EEG Classification with Tensor Representation.
Comput. Intell. Neurosci.
Qian Cai, Jianfeng Yan, Hongfang Han, Weiqiang Gong, Haixian Wang
2021 — conf
Neural Dissociations between Magnitude Processing of Fractions and Decimals.
EMBC
Pingting Lin, Yanmei Zhu, Xinlin Zhou, Yi Bai, Haixian Wang
2020 J jnl
Classifying action intention understanding EEG signals based on weighted brain network metric features.
Biomed. Signal Process. Control.
Xingliang Xiong, Zhenhua Yu, Tian Ma, Haixian Wang, Xuesong Lu, Hui Fan
2020 J jnl
Directed Connectivity Analysis of the Brain Network in Mathematically Gifted Adolescents.
Comput. Intell. Neurosci.
Mengting Wei, Qingyun Wang, Xiang Jiang, Yiyun Guo, Hui Fan, Haixian Wang, Xuesong Lu
2020 J jnl
Local temporal common spatial patterns modulated with phase locking value.
Biomed. Signal Process. Control.
Zhenhua Yu, Tian Ma, Na Fang, Haixian Wang, Zhanli Li, Hui Fan
2020 — conf
Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals.
ICONIP (3)
Xingliang Xiong, Xuesong Lu, Lingyun Gu, Hongfang Han, Zhongxian Hong, Haixian Wang
2020 — conf
Random matrix theory for analysing the brain functional network in lower limb motor imagery.
EMBC
Lingyun Gu, Zhenhua Yu, Tian Ma, Haixian Wang, Zhanli Li, Hui Fan
2020 — conf
The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction Methods.
ICONIP (3)
Hongfang Han, Xingliang Xiong, Jianfeng Yan, Haixian Wang, Mengting Wei
2019 J jnl
Common spatial patterns combined with phase synchronization information for classification of EEG signals.
Biomed. Signal Process. Control.
X. Li, Hui Fan, Haixian Wang, Liping Wang
2018 J jnl
Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks.
NeuroImage
Xuan Li, John Q. Gan, Haixian Wang
2018 J jnl
Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection.
Cogn. Comput.
Xuan Li, Zilan Hu, Haixian Wang
2018 J jnl
Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain-Computer Interfaces.
IEEE J. Biomed. Health Informatics
Sheng Ge, Yanhua Shi, Ruimin Wang, Pan Lin, Jun-Feng Gao, Gao-Peng Sun, Keiji Iramina, Yuankui Yang, Yue Leng, Haixian Wang, Wenming Zheng
2017 J jnl
A Brain-Computer Interface Based on a Few-Channel EEG-fNIRS Bimodal System.
IEEE Access
Sheng Ge, Qing Yang, Ruimin Wang, Pan Lin, Junfeng Gao, Yue Leng, Yuankui Yang, Haixian Wang
2017 J jnl
A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials.
IEEE J. Biomed. Health Informatics
Sheng Ge, Ruimin Wang, Yue Leng, Haixian Wang, Pan Lin, Keiji Iramina
2017 — conf
Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods.
CISP-BMEI
Hui Liu, Wengming Zheng, Gao-Peng Sun, Yanhua Shi, Yue Leng, Pan Lin, Ruimin Wang, Yuankui Yang, Jun-Feng Gao, Haixian Wang, Keiji Iramina, Sheng Ge
2017 — conf
Correntropy induced metric based common spatial patterns.
MLSP
Jiyao Dong, Badong Chen, Na Lu, Haixian Wang, Nanning Zheng
2017 — conf
Generalization of Local Temporal Correlation Common Spatial Patterns Using Lp-norm (0 < p < 2).
ICONIP (4)
Na Fang, Haixian Wang
2017 — conf
Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test.
ICONIP (3)
Yunqiao Wu, John Q. Gan, Haixian Wang
2017 — conf
One class support vector machine based filter for improving the classification accuracy of SSVEP BCI.
CISP-BMEI
Gao-Peng Sun, Hui Liu, Yanhua Shi, Yue Leng, Pan Lin, Ruimin Wang, Yuankui Yang, Junfeng Gao, Haixian Wang, Keiji Iramina, Sheng Ge
2017 J jnl
Robust maximum signal fraction analysis for blind source separation.
IET Signal Process.
Xuesong Lu, Xiaomeng Li, MaoSheng Fu, Haixian Wang
2016 — conf
Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization.
ICONIP (3)
Xuan Li, Zilan Hu, Haixian Wang
2016 — conf
Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering.
ICONIP (3)
Jing Wang, Zilan Hu, Haixian Wang
2016 J jnl
Robust common spatial patterns with sparsity.
Biomed. Signal Process. Control.
Xiaomeng Li, Xuesong Lu, Haixian Wang
2016 — conf
Sparse-Network Based Framework for Detecting the Overlapping Community Structure of Brain Functional Network.
BICS
Xuan Li, Zilan Hu, Haixian Wang
2015 J jnl
Locally principal component analysis based on L1-norm maximisation.
IET Image Process.
Guanyou Lin, Nianzu Tang, Haixian Wang
2014 C conf
CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication.
ISNN
Lihan Wang, John Q. Gan, Haixian Wang
2014 J jnl
Fisher Discriminant Analysis With L1-Norm.
IEEE Trans. Cybern.
Haixian Wang, Xuesong Lu, Zilan Hu, Wenming Zheng
2014 J jnl
L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst.
Wenming Zheng, Zhouchen Lin, Haixian Wang
2014 J jnl
L1-norm based discriminative spatial pattern for single-trial EEG classification.
Biomed. Signal Process. Control.
Qin Tang, Jing Wang, Haixian Wang
2014 Misc conf
Motion detection with spatiotemporal sequences.
ICASSP
Tong Zhang, Haixian Wang
2014 J jnl
Robust sparsity-preserved learning with application to image visualization.
Knowl. Inf. Syst.
Haixian Wang, Wenming Zheng
2014 — conf
Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials.
ICONIP (3)
Minmin Cheng, Haixian Wang, Zuhong Lu, Deji Lu
2013 J jnl
2DPCA with L1-norm for simultaneously robust and sparse modelling.
Neural Networks
Haixian Wang, Jing Wang
2013 — conf
Constructing Brain Connectivity Graph by Modified Sparse Representation.
ICONIP (1)
Jing Ren, Haixian Wang
2013 J jnl
Discriminant and adaptive extensions to local temporal common spatial patterns.
Pattern Recognit. Lett.
Haixian Wang
2013 — conf
EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness.
ICONIP (1)
Li Zhang, Haixian Wang, John Q. Gan
2013 — conf
Smooth Spatial Filter for Common Spatial Patterns.
ICONIP (2)
Xuan Li, Haixian Wang
2012 J jnl
An optimal design of the extrapolated impulse response filter with analytical solutions.
Signal Process.
Hao Wang, Li Zhao, Haixian Wang, Shiliang Fang, Pingxiang Liu, Xuanmin Du
2012 J jnl
Block principal component analysis with L1-norm for image analysis.
Pattern Recognit. Lett.
Haixian Wang
2012 J jnl
Comprehensive Common Spatial Patterns With Temporal Structure Information of EEG Data: Minimizing Nontask Related EEG Component.
IEEE Trans. Biomed. Eng.
Haixian Wang, Dong Xu
2012 J jnl
Harmonic Mean of Kullback-Leibler Divergences for Optimizing Multi-Class EEG Spatio-Temporal Filters.
Neural Process. Lett.
Haixian Wang
2012 J jnl
L1-Norm-Based Common Spatial Patterns.
IEEE Trans. Biomed. Eng.
Haixian Wang, Qin Tang, Wenming Zheng
2012 J jnl
Structured sparse linear graph embedding.
Neural Networks
Haixian Wang
2011 J jnl
An efficient edge-based bilateral filter for restoring real noisy image.
IEEE Trans. Consumer Electron.
Hancheng Yu, Li Zhao, Haixian Wang
2011 J jnl
Local discriminative spatial patterns for movement-related potentials-based EEG classification.
Biomed. Signal Process. Control.
Haixian Wang, Jiang Xu
2011 J jnl
Multiclass Filters by a Weighted Pairwise Criterion for EEG Single-Trial Classification.
IEEE Trans. Biomed. Eng.
Haixian Wang
2011 — conf
On alpha-mean of Kullback-Leibler divergences for subspace selection.
FSKD
Sibao Chen, Haixian Wang, Xingyi Zhang, Bin Luo
2011 J jnl
Optimizing spatial filters for single-trial EEG classification via a discriminant extension to CSP: the Fisher criterion.
Medical Biol. Eng. Comput.
Haixian Wang
2011 J jnl
Semi-supervised classification of facial expression using a mixture of multivariate
Expert Syst. J. Knowl. Eng.
Haixian Wang
2011 — conf
Semi-supervised geometric mean of Kullback-Leibler divergences for subspace selection.
FSKD
Sibao Chen, Haixian Wang, Xingyi Zhang, Bin Luo
2011 J jnl
Structural two-dimensional principal component analysis for image recognition.
Mach. Vis. Appl.
Haixian Wang
2010 J jnl
Local Two-Dimensional Canonical Correlation Analysis.
IEEE Signal Process. Lett.
Haixian Wang
2010 B conf
On Dynamic Weighting of Data in Clustering with K-Alpha Means.
ICPR
Sibao Chen, Haixian Wang, Bin Luo
2010 — conf
Subspace selection using semi-supervised harmonic mean of Kullback-Leibler divergences.
FSKD
Sibao Chen, Haixian Wang, Bin Luo
2010 J jnl
Temporally local maximum signal fraction analysis for artifact removal from biomedical signals.
IEEE Trans. Signal Process.
Haixian Wang
2009 B conf
A new feature extraction method for image recognition using structural two-dimensional locality preserving projections.
ICIP
Haixian Wang
2009 J jnl
Image Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain.
IEEE Trans. Image Process.
Hancheng Yu, Li Zhao, Haixian Wang
2009 J jnl
On EM Estimation for Mixture of Multivariate
Neural Process. Lett.
Haixian Wang, Zilan Hu
2008 — conf
A local time Fukunage-Koontz transformation for speech emotional recognition.
ICAIT
Yan Zhao, Haixian Wang, Li Zhao
2008 J jnl
An Efficient Procedure for Removing Random-Valued Impulse Noise in Images.
IEEE Signal Process. Lett.
Hancheng Yu, Li Zhao, Haixian Wang
2008 J jnl
An efficient algorithm for Kernel two-dimensional principal component analysis.
Neural Comput. Appl.
Ning Sun, Haixian Wang, Zhen-hai Ji, Cairong Zou, Li Zhao
2008 J jnl
Locality-Preserved Maximum Information Projection.
IEEE Trans. Neural Networks
Haixian Wang, Sibao Chen, Zilan Hu, Wenming Zheng
2008 J jnl
Probabilistic two-dimensional principal component analysis and its mixture model for face recognition.
Neural Comput. Appl.
Haixian Wang, Sibao Chen, Zilan Hu, Bin Luo
2007 J jnl
An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition.
Pattern Recognit. Lett.
Haixian Wang, Zilan Hu, Yue Zhao
2007 J jnl
An unified EM algorithm for PCA and KPCA.
Neurocomputing
Haixian Wang, Zilan Hu
2007 — conf
Image Recognition Using Weighted Two-Dimensional Maximum Margin Criterion.
ICNC (1)
Haixian Wang, Sibao Chen, Zilan Hu
2007 A* conf
Local and Weighted Maximum Margin Discriminant Analysis.
CVPR
Haixian Wang, Wenming Zheng, Zilan Hu, Sibao Chen
2006 — conf
A Fast Feature Extraction Method for Kernel 2DPCA.
ICIC (1)
Ning Sun, Haixian Wang, Zhen-hai Ji, Cairong Zou, Li Zhao
2006 — conf
Face Recognition Using Probabilistic Two-Dimensional Principal Component Analysis and Its Mixture Model.
ICNC (1)
Haixian Wang, Zilan Hu
2006 — conf
Kernel Principal Component Analysis for Large Scale Data Set.
ICIC (1)
Haixian Wang, Zilan Hu, Yue Zhao
2004 J jnl
Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm.
Pattern Recognit. Lett.
Haixian Wang, Bin Luo, Quan bing Zhang, Sui Wei
2004 Misc conf
Greedy EM algorithm for robust t-mixture modeling.
ICIG
Sibao Chen, Haixian Wang, Bin Luo
2004 J jnl
Robust mixture modelling using multivariate.
Pattern Recognit. Lett.
Haixian Wang, Quan bing Zhang, Bin Luo, Sui Wei