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2020 – today
- 2024
[j57]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): 10757-10771 (2024)- [j56]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): 521-535 (2024) - [c32]Haixian Wang, Xiaoting Ding:
EEG Microstate-Functional Connectivity of Observing Animals' Behavior in Healthy Children. CCEAI 2024: 146-151 - 2023
- [j55]Hongfang Han, Sheng Ge, Haixian Wang:
Prediction of brain age based on the community structure of functional networks. Biomed. Signal Process. Control. 79(Part): 104151 (2023) - [j54]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): 9615-9626 (2023) - [j53]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): 1083-1092 (2023) - [j52]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): 723-734 (2023) - [j51]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): 3040-3051 (2023) - [j50]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): 1835-1844 (2023) - 2022
- [j49]Qian Cai, Guo-Chong Cui, Haixian Wang:
EEG-based Emotion Recognition Using Multiple Kernel Learning. Int. J. Autom. Comput. 19(5): 472-484 (2022) - [j48]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): 3393-3403 (2022) - [j47]Jing Sun, Haixian Wang, Jiuchuan Jiang:
Euler common spatial pattern modulated with cross-frequency coupling. Knowl. Inf. Syst. 64(12): 3401-3418 (2022) - [j46]Jing Sun, Mengting Wei, Ning Luo, Zhanli Li, Haixian Wang:
Euler common spatial patterns for EEG classification. Medical Biol. Eng. Comput. 60(3): 753-767 (2022) - 2021
- [j45]Xingliang Xiong, Hua Yu, Haixian Wang, Jiuchuan Jiang:
Action Intention Understanding EEG Signal Classification Based on Improved Discriminative Spatial Patterns. Comput. Intell. Neurosci. 2021: 1462369:1-1462369:8 (2021) - [j44]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: 6634672:1-6634672:9 (2021) - [j43]Jingyu Gu, Mengting Wei, Yiyun Guo, Haixian Wang:
Common Spatial Pattern with L21-Norm. Neural Process. Lett. 53(5): 3619-3638 (2021) - [c31]Pingting Lin, Yanmei Zhu, Xinlin Zhou, Yi Bai, Haixian Wang:
Neural Dissociations between Magnitude Processing of Fractions and Decimals. EMBC 2021: 92-95 - [c30]Boyang Lu, Sheng Ge, Haixian Wang:
EEG-Based Classification of Lower Limb Motor Imagery with STFT and CNN. ICONIP (6) 2021: 397-404 - 2020
- [j42]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: 101882 (2020) - [j41]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: 101893 (2020) - [j40]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: 4209321:1-4209321:10 (2020) - [c29]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: 506-509 - [c28]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: 110-121 - [c27]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: 122-134
2010 – 2019
- 2019
- [j39]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: 248-256 (2019) - 2018
- [j38]Xuan Li, Zilan Hu, Haixian Wang:
Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection. Cogn. Comput. 10(6): 991-1005 (2018) - [j37]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: 259-275 (2018) - [j36]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): 1373-1384 (2018) - 2017
- [j35]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: 208-218 (2017) - [j34]Xuesong Lu, Xiaomeng Li, MaoSheng Fu, Haixian Wang:
Robust maximum signal fraction analysis for blind source separation. IET Signal Process. 11(8): 969-974 (2017) - [j33]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): 897-903 (2017) - [c26]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: 1-5 - [c25]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: 1-5 - [c24]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: 709-717 - [c23]Na Fang, Haixian Wang:
Generalization of Local Temporal Correlation Common Spatial Patterns Using Lp-norm (0 < p < 2). ICONIP (4) 2017: 769-777 - [c22]Jiyao Dong, Badong Chen, Na Lu, Haixian Wang, Nanning Zheng:
Correntropy induced metric based common spatial patterns. MLSP 2017: 1-6 - 2016
- [j32]Xiaomeng Li, Xuesong Lu, Haixian Wang:
Robust common spatial patterns with sparsity. Biomed. Signal Process. Control. 26: 52-57 (2016) - [c21]Xuan Li, Zilan Hu, Haixian Wang:
Sparse-Network Based Framework for Detecting the Overlapping Community Structure of Brain Functional Network. BICS 2016: 355-365 - [c20]Jing Wang, Zilan Hu, Haixian Wang:
Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering. ICONIP (3) 2016: 131-139 - [c19]Xuan Li, Zilan Hu, Haixian Wang:
Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization. ICONIP (3) 2016: 140-147 - 2015
- [j31]Guanyou Lin, Nianzu Tang, Haixian Wang:
Locally principal component analysis based on L1-norm maximisation. IET Image Process. 9(2): 91-96 (2015) - 2014
- [j30]Qin Tang, Jing Wang, Haixian Wang:
L1-norm based discriminative spatial pattern for single-trial EEG classification. Biomed. Signal Process. Control. 10: 313-321 (2014) - [j29]Haixian Wang, Wenming Zheng:
Robust sparsity-preserved learning with application to image visualization. Knowl. Inf. Syst. 39(2): 287-304 (2014) - [j28]Haixian Wang, Xuesong Lu, Zilan Hu, Wenming Zheng:
Fisher Discriminant Analysis With L1-Norm. IEEE Trans. Cybern. 44(6): 828-842 (2014) - [j27]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): 793-805 (2014) - [c18]Tong Zhang, Haixian Wang:
Motion detection with spatiotemporal sequences. ICASSP 2014: 4344-4348 - [c17]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: 167-174 - [c16]Lihan Wang, John Q. Gan, Haixian Wang:
CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication. ISNN 2014: 131-139 - 2013
- [j26]Haixian Wang, Jing Wang:
2DPCA with L1-norm for simultaneously robust and sparse modelling. Neural Networks 46: 190-198 (2013) - [j25]Haixian Wang:
Discriminant and adaptive extensions to local temporal common spatial patterns. Pattern Recognit. Lett. 34(10): 1125-1129 (2013) - [c15]Li Zhang, Haixian Wang, John Q. Gan:
EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness. ICONIP (1) 2013: 25-32 - [c14]Jing Ren, Haixian Wang:
Constructing Brain Connectivity Graph by Modified Sparse Representation. ICONIP (1) 2013: 207-214 - [c13]Xuan Li, Haixian Wang:
Smooth Spatial Filter for Common Spatial Patterns. ICONIP (2) 2013: 315-322 - 2012
- [j24]Haixian Wang:
Structured sparse linear graph embedding. Neural Networks 27: 38-44 (2012) - [j23]Haixian Wang:
Harmonic Mean of Kullback-Leibler Divergences for Optimizing Multi-Class EEG Spatio-Temporal Filters. Neural Process. Lett. 36(2): 161-171 (2012) - [j22]Haixian Wang:
Block principal component analysis with L1-norm for image analysis. Pattern Recognit. Lett. 33(5): 537-542 (2012) - [j21]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): 1665-1672 (2012) - [j20]Haixian Wang, Qin Tang, Wenming Zheng:
L1-Norm-Based Common Spatial Patterns. IEEE Trans. Biomed. Eng. 59(3): 653-662 (2012) - [j19]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): 2496-2505 (2012) - 2011
- [j18]Haixian Wang, Jiang Xu:
Local discriminative spatial patterns for movement-related potentials-based EEG classification. Biomed. Signal Process. Control. 6(4): 427-431 (2011) - [j17]Haixian Wang:
Semi-supervised classification of facial expression using a mixture of multivariate t distributions. Expert Syst. J. Knowl. Eng. 28(1): 19-32 (2011) - [j16]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): 997-1001 (2011) - [j15]Haixian Wang:
Structural two-dimensional principal component analysis for image recognition. Mach. Vis. Appl. 22(2): 433-438 (2011) - [j14]Haixian Wang:
Multiclass Filters by a Weighted Pairwise Criterion for EEG Single-Trial Classification. IEEE Trans. Biomed. Eng. 58(5): 1412-1420 (2011) - [j13]Hancheng Yu, Li Zhao, Haixian Wang:
An efficient edge-based bilateral filter for restoring real noisy image. IEEE Trans. Consumer Electron. 57(2): 682-686 (2011) - [c12]Sibao Chen, Haixian Wang, Xingyi Zhang, Bin Luo:
Semi-supervised geometric mean of Kullback-Leibler divergences for subspace selection. FSKD 2011: 1232-1235 - [c11]Sibao Chen, Haixian Wang, Xingyi Zhang, Bin Luo:
On alpha-mean of Kullback-Leibler divergences for subspace selection. FSKD 2011: 1320-1324 - 2010
- [j12]Haixian Wang:
Local Two-Dimensional Canonical Correlation Analysis. IEEE Signal Process. Lett. 17(11): 921-924 (2010) - [j11]Haixian Wang:
Temporally local maximum signal fraction analysis for artifact removal from biomedical signals. IEEE Trans. Signal Process. 58(9): 4919-4925 (2010) - [c10]Sibao Chen, Haixian Wang, Bin Luo:
Subspace selection using semi-supervised harmonic mean of Kullback-Leibler divergences. FSKD 2010: 1578-1581 - [c9]Sibao Chen, Haixian Wang, Bin Luo:
On Dynamic Weighting of Data in Clustering with K-Alpha Means. ICPR 2010: 774-777
2000 – 2009
- 2009
- [j10]Haixian Wang, Zilan Hu:
On EM Estimation for Mixture of Multivariate t-Distributions. Neural Process. Lett. 30(3): 243-256 (2009) - [j9]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): 2364-2369 (2009) - [c8]Haixian Wang:
A new feature extraction method for image recognition using structural two-dimensional locality preserving projections. ICIP 2009: 2037-2040 - 2008
- [j8]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): 59-64 (2008) - [j7]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): 541-547 (2008) - [j6]Hancheng Yu, Li Zhao, Haixian Wang:
An Efficient Procedure for Removing Random-Valued Impulse Noise in Images. IEEE Signal Process. Lett. 15: 922-925 (2008) - [j5]Haixian Wang, Sibao Chen, Zilan Hu, Wenming Zheng:
Locality-Preserved Maximum Information Projection. IEEE Trans. Neural Networks 19(4): 571-585 (2008) - [c7]Yan Zhao, Haixian Wang, Li Zhao:
A local time Fukunage-Koontz transformation for speech emotional recognition. ICAIT 2008: 116:1-116:5 - 2007
- [j4]Haixian Wang, Zilan Hu:
An unified EM algorithm for PCA and KPCA. Neurocomputing 71(1-3): 459-462 (2007) - [j3]Haixian Wang, Zilan Hu, Yu'e Zhao:
An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition. Pattern Recognit. Lett. 28(2): 254-259 (2007) - [c6]Haixian Wang, Wenming Zheng, Zilan Hu, Sibao Chen:
Local and Weighted Maximum Margin Discriminant Analysis. CVPR 2007 - [c5]Haixian Wang, Sibao Chen, Zilan Hu:
Image Recognition Using Weighted Two-Dimensional Maximum Margin Criterion. ICNC (1) 2007: 582-586 - 2006
- [c4]Haixian Wang, Zilan Hu, Yu'e Zhao:
Kernel Principal Component Analysis for Large Scale Data Set. ICIC (1) 2006: 745-756 - [c3]Ning Sun, Haixian Wang, Zhen-hai Ji, Cairong Zou, Li Zhao:
A Fast Feature Extraction Method for Kernel 2DPCA. ICIC (1) 2006: 767-774 - [c2]Haixian Wang, Zilan Hu:
Face Recognition Using Probabilistic Two-Dimensional Principal Component Analysis and Its Mixture Model. ICNC (1) 2006: 337-340 - 2004
- [j2]Haixian Wang, Quan bing Zhang, Bin Luo, Sui Wei:
Robust mixture modelling using multivariate. Pattern Recognit. Lett. 25(6): 701-710 (2004) - [j1]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): 1799-1809 (2004) - [c1]Sibao Chen, Haixian Wang, Bin Luo:
Greedy EM algorithm for robust t-mixture modeling. ICIG 2004: 548-551
Coauthor Index
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