Haixian Wang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 40

Top Topics

Spatial Patterns

Discriminant Analysis

Top Venues

Biomed. Signal Process. Control.

Comput. Intell. Neurosci.

Medical Biol. Eng. Comput.

Publications

Xiaoting Ding, Jiuchuan Jiang, Mengting Wei, Yue Leng, Haixian Wang
Effect of animal behavior on EEG microstates in healthy children: An outdoor observation task. J. Intell. Fuzzy Syst. 46 (4) (2024)
Runkai Zhang, Rong Rong, John Q. Gan, Yun Xu, Haixian Wang, Xiaoyun Wang
Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest. Medical Biol. Eng. Comput. 62 (2) (2024)
Haixian Wang, Xiaoting Ding
EEG Microstate-Functional Connectivity of Observing Animals' Behavior in Healthy Children. CCEAI (2024)
Sheng Ge, Jing He, Pan Lin, Ruimin Wang, Keiji Iramina, Yue Leng, Haixian Wang, Wenming Zheng, Chaoyong Xiao, Zonghong Li
Effective Connectivity Analysis and Classification of Action Observation From Different Perspectives: An fMRI Study. IEEE Trans. Biomed. Eng. 70 (2) (2023)
Jingyu Gu, Jiuchuan Jiang, Sheng Ge, Haixian Wang
Capped L21-norm-based common spatial patterns for EEG signals classification applicable to BCI systems. Medical Biol. Eng. Comput. 61 (5) (2023)
Hongfang Han, Sheng Ge, Haixian Wang
Prediction of brain age based on the community structure of functional networks. Biomed. Signal Process. Control. 79 (Part) (2023)
Sheng Ge, Hui Yang, Ruimin Wang, Yue Leng, Keiji Iramina, Pan Lin, Haixian Wang
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 27 (4) (2023)
Huiyang Wang, Jiuchuan Jiang, John Q. Gan, Haixian Wang
Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data. IEEE Trans. Biomed. Eng. 70 (11) (2023)
Yakun Zhu, Weiqiang Gong, Xuesong Lu, Haixian Wang
Effective connectivity analysis of brain networks of mathematically gifted adolescents using transfer entropy. J. Intell. Fuzzy Syst. 44 (6) (2023)
Qian Cai, Guo-Chong Cui, Haixian Wang
EEG-based Emotion Recognition Using Multiple Kernel Learning. Int. J. Autom. Comput. 19 (5) (2022)
Qian Cai, Xingliang Xiong, Weiqiang Gong, Haixian Wang
Multi-class classification of action intention understanding brain signals based on thresholding graph metric. J. Intell. Fuzzy Syst. 42 (4) (2022)
Jing Sun, Haixian Wang, Jiuchuan Jiang
Euler common spatial pattern modulated with cross-frequency coupling. Knowl. Inf. Syst. 64 (12) (2022)
Jing Sun, Mengting Wei, Ning Luo, Zhanli Li, Haixian Wang
Euler common spatial patterns for EEG classification. Medical Biol. Eng. Comput. 60 (3) (2022)
Qian Cai, Jianfeng Yan, Hongfang Han, Weiqiang Gong, Haixian Wang
Multilinear Discriminative Spatial Patterns for Movement-Related Cortical Potential Based on EEG Classification with Tensor Representation. Comput. Intell. Neurosci. 2021 (2021)
Boyang Lu, Sheng Ge, Haixian Wang
EEG-Based Classification of Lower Limb Motor Imagery with STFT and CNN. ICONIP (6) (2021)
Jingyu Gu, Mengting Wei, Yiyun Guo, Haixian Wang
Common Spatial Pattern with L21-Norm. Neural Process. Lett. 53 (5) (2021)
Pingting Lin, Yanmei Zhu, Xinlin Zhou, Yi Bai, Haixian Wang
Neural Dissociations between Magnitude Processing of Fractions and Decimals. EMBC (2021)
Xingliang Xiong, Hua Yu, Haixian Wang, Jiuchuan Jiang
Action Intention Understanding EEG Signal Classification Based on Improved Discriminative Spatial Patterns. Comput. Intell. Neurosci. 2021 (2021)
Mengting Wei, Qingyun Wang, Xiang Jiang, Yiyun Guo, Hui Fan, Haixian Wang, Xuesong Lu
Directed Connectivity Analysis of the Brain Network in Mathematically Gifted Adolescents. Comput. Intell. Neurosci. 2020 (2020)
Zhenhua Yu, Tian Ma, Na Fang, Haixian Wang, Zhanli Li, Hui Fan
Local temporal common spatial patterns modulated with phase locking value. Biomed. Signal Process. Control. 59 (2020)
Xingliang Xiong, Xuesong Lu, Lingyun Gu, Hongfang Han, Zhongxian Hong, Haixian Wang
Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals. ICONIP (3) (2020)
Lingyun Gu, Zhenhua Yu, Tian Ma, Haixian Wang, Zhanli Li, Hui Fan
Random matrix theory for analysing the brain functional network in lower limb motor imagery. EMBC (2020)
Xingliang Xiong, Zhenhua Yu, Tian Ma, Haixian Wang, Xuesong Lu, Hui Fan
Classifying action intention understanding EEG signals based on weighted brain network metric features. Biomed. Signal Process. Control. 59 (2020)
Hongfang Han, Xingliang Xiong, Jianfeng Yan, Haixian Wang, Mengting Wei
The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction Methods. ICONIP (3) (2020)
X. Li, Hui Fan, Haixian Wang, Liping Wang
Common spatial patterns combined with phase synchronization information for classification of EEG signals. Biomed. Signal Process. Control. 52 (2019)
Xuan Li, Zilan Hu, Haixian Wang
Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection. Cogn. Comput. 10 (6) (2018)
Sheng Ge, Yanhua Shi, Ruimin Wang, Pan Lin, Jun-Feng Gao, Gao-Peng Sun, Keiji Iramina, Yuankui Yang, Yue Leng, Haixian Wang, Wenming Zheng
Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain-Computer Interfaces. IEEE J. Biomed. Health Informatics 22 (5) (2018)
Xuan Li, John Q. Gan, Haixian Wang
Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks. NeuroImage 166 (2018)
Sheng Ge, Ruimin Wang, Yue Leng, Haixian Wang, Pan Lin, Keiji Iramina
A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials. IEEE J. Biomed. Health Informatics 21 (4) (2017)
Xuesong Lu, Xiaomeng Li, MaoSheng Fu, Haixian Wang
Robust maximum signal fraction analysis for blind source separation. IET Signal Process. 11 (8) (2017)
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
Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods. CISP-BMEI (2017)
Jiyao Dong, Badong Chen, Na Lu, Haixian Wang, Nanning Zheng
Correntropy induced metric based common spatial patterns. MLSP (2017)
Sheng Ge, Qing Yang, Ruimin Wang, Pan Lin, Junfeng Gao, Yue Leng, Yuankui Yang, Haixian Wang
A Brain-Computer Interface Based on a Few-Channel EEG-fNIRS Bimodal System. IEEE Access 5 (2017)
Na Fang, Haixian Wang
Generalization of Local Temporal Correlation Common Spatial Patterns Using Lp-norm (0 < p < 2). ICONIP (4) (2017)
Gao-Peng Sun, Hui Liu, Yanhua Shi, Yue Leng, Pan Lin, Ruimin Wang, Yuankui Yang, Junfeng Gao, Haixian Wang, Keiji Iramina, Sheng Ge
One class support vector machine based filter for improving the classification accuracy of SSVEP BCI. CISP-BMEI (2017)
Yunqiao Wu, John Q. Gan, Haixian Wang
Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test. ICONIP (3) (2017)
Jing Wang, Zilan Hu, Haixian Wang
Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering. ICONIP (3) (2016)
Xuan Li, Zilan Hu, Haixian Wang
Sparse-Network Based Framework for Detecting the Overlapping Community Structure of Brain Functional Network. BICS (2016)
Xuan Li, Zilan Hu, Haixian Wang
Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization. ICONIP (3) (2016)
Xiaomeng Li, Xuesong Lu, Haixian Wang
Robust common spatial patterns with sparsity. Biomed. Signal Process. Control. 26 (2016)
Guanyou Lin, Nianzu Tang, Haixian Wang
Locally principal component analysis based on L1-norm maximisation. IET Image Process. 9 (2) (2015)
Minmin Cheng, Haixian Wang, Zuhong Lu, Deji Lu
Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials. ICONIP (3) (2014)
Wenming Zheng, Zhouchen Lin, Haixian Wang
L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 25 (4) (2014)
Haixian Wang, Xuesong Lu, Zilan Hu, Wenming Zheng
Fisher Discriminant Analysis With L1-Norm. IEEE Trans. Cybern. 44 (6) (2014)
Lihan Wang, John Q. Gan, Haixian Wang
CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication. ISNN (2014)
Tong Zhang, Haixian Wang
Motion detection with spatiotemporal sequences. ICASSP (2014)
Haixian Wang, Wenming Zheng
Robust sparsity-preserved learning with application to image visualization. Knowl. Inf. Syst. 39 (2) (2014)
Qin Tang, Jing Wang, Haixian Wang
L1-norm based discriminative spatial pattern for single-trial EEG classification. Biomed. Signal Process. Control. 10 (2014)
Xuan Li, Haixian Wang
Smooth Spatial Filter for Common Spatial Patterns. ICONIP (2) (2013)
Haixian Wang, Jing Wang
2DPCA with L1-norm for simultaneously robust and sparse modelling. Neural Networks 46 (2013)
Haixian Wang
Discriminant and adaptive extensions to local temporal common spatial patterns. Pattern Recognit. Lett. 34 (10) (2013)
Jing Ren, Haixian Wang
Constructing Brain Connectivity Graph by Modified Sparse Representation. ICONIP (1) (2013)
Li Zhang, Haixian Wang, John Q. Gan
EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness. ICONIP (1) (2013)
Haixian Wang
Block principal component analysis with L1-norm for image analysis. Pattern Recognit. Lett. 33 (5) (2012)
Hao Wang, Li Zhao, Haixian Wang, Shiliang Fang, Pingxiang Liu, Xuanmin Du
An optimal design of the extrapolated impulse response filter with analytical solutions. Signal Process. 92 (7) (2012)
Haixian Wang, Qin Tang, Wenming Zheng
L1-Norm-Based Common Spatial Patterns. IEEE Trans. Biomed. Eng. 59 (3) (2012)
Haixian Wang, Dong Xu
Comprehensive Common Spatial Patterns With Temporal Structure Information of EEG Data: Minimizing Nontask Related EEG Component. IEEE Trans. Biomed. Eng. 59 (9) (2012)
Haixian Wang
Harmonic Mean of Kullback-Leibler Divergences for Optimizing Multi-Class EEG Spatio-Temporal Filters. Neural Process. Lett. 36 (2) (2012)
Haixian Wang
Structured sparse linear graph embedding. Neural Networks 27 (2012)
Hancheng Yu, Li Zhao, Haixian Wang
An efficient edge-based bilateral filter for restoring real noisy image. IEEE Trans. Consumer Electron. 57 (2) (2011)
Haixian Wang
Structural two-dimensional principal component analysis for image recognition. Mach. Vis. Appl. 22 (2) (2011)
Sibao Chen, Haixian Wang, Xingyi Zhang, Bin Luo
On alpha-mean of Kullback-Leibler divergences for subspace selection. FSKD (2011)
Haixian Wang
Optimizing spatial filters for single-trial EEG classification via a discriminant extension to CSP: the Fisher criterion. Medical Biol. Eng. Comput. 49 (9) (2011)
Haixian Wang, Jiang Xu
Local discriminative spatial patterns for movement-related potentials-based EEG classification. Biomed. Signal Process. Control. 6 (4) (2011)
Haixian Wang
Multiclass Filters by a Weighted Pairwise Criterion for EEG Single-Trial Classification. IEEE Trans. Biomed. Eng. 58 (5) (2011)
Sibao Chen, Haixian Wang, Xingyi Zhang, Bin Luo
Semi-supervised geometric mean of Kullback-Leibler divergences for subspace selection. FSKD (2011)
Haixian Wang
distributions. Expert Syst. J. Knowl. Eng. 28 (1) (2011)
Haixian Wang
Local Two-Dimensional Canonical Correlation Analysis. IEEE Signal Process. Lett. 17 (11) (2010)
Haixian Wang
Temporally local maximum signal fraction analysis for artifact removal from biomedical signals. IEEE Trans. Signal Process. 58 (9) (2010)
Sibao Chen, Haixian Wang, Bin Luo
On Dynamic Weighting of Data in Clustering with K-Alpha Means. ICPR (2010)
Sibao Chen, Haixian Wang, Bin Luo
Subspace selection using semi-supervised harmonic mean of Kullback-Leibler divergences. FSKD (2010)
Haixian Wang
A new feature extraction method for image recognition using structural two-dimensional locality preserving projections. ICIP (2009)
Haixian Wang, Zilan Hu
-Distributions. Neural Process. Lett. 30 (3) (2009)
Hancheng Yu, Li Zhao, Haixian Wang
Image Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain. IEEE Trans. Image Process. 18 (10) (2009)
Haixian Wang, Sibao Chen, Zilan Hu, Wenming Zheng
Locality-Preserved Maximum Information Projection. IEEE Trans. Neural Networks 19 (4) (2008)
Haixian Wang, Sibao Chen, Zilan Hu, Bin Luo
Probabilistic two-dimensional principal component analysis and its mixture model for face recognition. Neural Comput. Appl. 17 (5-6) (2008)
Yan Zhao, Haixian Wang, Li Zhao
A local time Fukunage-Koontz transformation for speech emotional recognition. ICAIT (2008)
Ning Sun, Haixian Wang, Zhen-hai Ji, Cairong Zou, Li Zhao
An efficient algorithm for Kernel two-dimensional principal component analysis. Neural Comput. Appl. 17 (1) (2008)
Hancheng Yu, Li Zhao, Haixian Wang
An Efficient Procedure for Removing Random-Valued Impulse Noise in Images. IEEE Signal Process. Lett. 15 (2008)
Haixian Wang, Wenming Zheng, Zilan Hu, Sibao Chen
Local and Weighted Maximum Margin Discriminant Analysis. CVPR (2007)
Haixian Wang, Sibao Chen, Zilan Hu
Image Recognition Using Weighted Two-Dimensional Maximum Margin Criterion. ICNC (1) (2007)
Haixian Wang, Zilan Hu, Yu'e Zhao
An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition. Pattern Recognit. Lett. 28 (2) (2007)
Haixian Wang, Zilan Hu
An unified EM algorithm for PCA and KPCA. Neurocomputing 71 (1-3) (2007)
Haixian Wang, Zilan Hu
Face Recognition Using Probabilistic Two-Dimensional Principal Component Analysis and Its Mixture Model. ICNC (1) (2006)
Haixian Wang, Zilan Hu, Yu'e Zhao
Kernel Principal Component Analysis for Large Scale Data Set. ICIC (1) (2006)
Ning Sun, Haixian Wang, Zhen-hai Ji, Cairong Zou, Li Zhao
A Fast Feature Extraction Method for Kernel 2DPCA. ICIC (1) (2006)
Haixian Wang, Quan bing Zhang, Bin Luo, Sui Wei
Robust mixture modelling using multivariate. Pattern Recognit. Lett. 25 (6) (2004)
Haixian Wang, Bin Luo, Quan bing Zhang, Sui Wei
Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm. Pattern Recognit. Lett. 25 (16) (2004)
Sibao Chen, Haixian Wang, Bin Luo
Greedy EM algorithm for robust t-mixture modeling. ICIG (2004)