Greedy EM algorithm for robust t-mixture modeling. - Sibao Chen 001; Haixian Wang; Bin Luo 001 (ICIG, 2004)

Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm. - Haixian Wang; Bin Luo 001; Quan bing Zhang; Sui Wei (Pattern Recognit. Lett., 2004)

Robust mixture modelling using multivariate. - Haixian Wang; Quan bing Zhang; Bin Luo 001; Sui Wei (Pattern Recognit. Lett., 2004)

A Fast Feature Extraction Method for Kernel 2DPCA. - Ning Sun 001; Haixian Wang; Zhen-hai Ji; Cairong Zou; Li Zhao 003 (ICIC (1), 2006)

Kernel Principal Component Analysis for Large Scale Data Set. - Haixian Wang; Zilan Hu; Yu'e Zhao (ICIC (1), 2006)

Face Recognition Using Probabilistic Two-Dimensional Principal Component Analysis and Its Mixture Model. - Haixian Wang; Zilan Hu (ICNC (1), 2006)

Local and Weighted Maximum Margin Discriminant Analysis. - Haixian Wang; Wenming Zheng; Zilan Hu; Sibao Chen 001 (CVPR, 2007)

Image Recognition Using Weighted Two-Dimensional Maximum Margin Criterion. - Haixian Wang; Sibao Chen 001; Zilan Hu (ICNC (1), 2007)

An unified EM algorithm for PCA and KPCA. - Haixian Wang; Zilan Hu (Neurocomputing, 2007)

An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition. - Haixian Wang; Zilan Hu; Yu'e Zhao (Pattern Recognit. Lett., 2007)

A local time Fukunage-Koontz transformation for speech emotional recognition. - Yan Zhao; Haixian Wang; Li Zhao 003 (ICAIT, 2008)

An efficient algorithm for Kernel two-dimensional principal component analysis. - Ning Sun 001; Haixian Wang; Zhen-hai Ji; Cairong Zou; Li Zhao 003 (Neural Comput. Appl., 2008)

Probabilistic two-dimensional principal component analysis and its mixture model for face recognition. - Haixian Wang; Sibao Chen 001; Zilan Hu; Bin Luo 001 (Neural Comput. Appl., 2008)

An Efficient Procedure for Removing Random-Valued Impulse Noise in Images. - Hancheng Yu; Li Zhao 003; Haixian Wang (IEEE Signal Process. Lett., 2008)

Locality-Preserved Maximum Information Projection. - Haixian Wang; Sibao Chen 001; Zilan Hu; Wenming Zheng (IEEE Trans. Neural Networks, 2008)

A new feature extraction method for image recognition using structural two-dimensional locality preserving projections. - Haixian Wang (ICIP, 2009)

On EM Estimation for Mixture of Multivariate t-Distributions. - Haixian Wang; Zilan Hu (Neural Process. Lett., 2009)

Image Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain. - Hancheng Yu; Li Zhao 003; Haixian Wang (IEEE Trans. Image Process., 2009)

Subspace selection using semi-supervised harmonic mean of Kullback-Leibler divergences. - Sibao Chen 001; Haixian Wang; Bin Luo 001 (FSKD, 2010)

On Dynamic Weighting of Data in Clustering with K-Alpha Means. - Sibao Chen 001; Haixian Wang; Bin Luo 001 (ICPR, 2010)

Local Two-Dimensional Canonical Correlation Analysis. - Haixian Wang (IEEE Signal Process. Lett., 2010)

Temporally local maximum signal fraction analysis for artifact removal from biomedical signals. - Haixian Wang (IEEE Trans. Signal Process., 2010)

Semi-supervised geometric mean of Kullback-Leibler divergences for subspace selection. - Sibao Chen 001; Haixian Wang; Xingyi Zhang 001; Bin Luo 001 (FSKD, 2011)

On alpha-mean of Kullback-Leibler divergences for subspace selection. - Sibao Chen 001; Haixian Wang; Xingyi Zhang 001; Bin Luo 001 (FSKD, 2011)

Local discriminative spatial patterns for movement-related potentials-based EEG classification. - Haixian Wang; Jiang Xu (Biomed. Signal Process. Control., 2011)

Semi-supervised classification of facial expression using a mixture of multivariate t distributions. - Haixian Wang (Expert Syst. J. Knowl. Eng., 2011)

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

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

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

An efficient edge-based bilateral filter for restoring real noisy image. - Hancheng Yu; Li Zhao 003; Haixian Wang (IEEE Trans. Consumer Electron., 2011)

Structured sparse linear graph embedding. - Haixian Wang (Neural Networks, 2012)

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

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

An optimal design of the extrapolated impulse response filter with analytical solutions. - Hao Wang 004; Li Zhao 003; Haixian Wang; Shiliang Fang; Pingxiang Liu; Xuanmin Du (Signal Process., 2012)

L1-Norm-Based Common Spatial Patterns. - Haixian Wang; Qin Tang; Wenming Zheng (IEEE Trans. Biomed. Eng., 2012)

Comprehensive Common Spatial Patterns With Temporal Structure Information of EEG Data: Minimizing Nontask Related EEG Component. - Haixian Wang; Dong Xu 001 (IEEE Trans. Biomed. Eng., 2012)

Smooth Spatial Filter for Common Spatial Patterns. - Xuan Li 001; Haixian Wang (ICONIP (2), 2013)

Constructing Brain Connectivity Graph by Modified Sparse Representation. - Jing Ren; Haixian Wang (ICONIP (1), 2013)

EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness. - Li Zhang; Haixian Wang; John Q. Gan (ICONIP (1), 2013)

2DPCA with L1-norm for simultaneously robust and sparse modelling. - Haixian Wang; Jing Wang 177 (Neural Networks, 2013)

Discriminant and adaptive extensions to local temporal common spatial patterns. - Haixian Wang (Pattern Recognit. Lett., 2013)

Motion detection with spatiotemporal sequences. - Tong Zhang; Haixian Wang (ICASSP, 2014)

Temporally Regularized Filters for Common Spatial Patterns by Preserving Locally Linear Structure of EEG Trials. - Minmin Cheng; Haixian Wang; Zuhong Lu; Deji Lu (ICONIP (3), 2014)

CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication. - Lihan Wang; John Q. Gan; Haixian Wang (ISNN, 2014)

L1-norm based discriminative spatial pattern for single-trial EEG classification. - Qin Tang; Jing Wang 177; Haixian Wang (Biomed. Signal Process. Control., 2014)

Robust sparsity-preserved learning with application to image visualization. - Haixian Wang; Wenming Zheng (Knowl. Inf. Syst., 2014)

Fisher Discriminant Analysis With L1-Norm. - Haixian Wang; Xuesong Lu; Zilan Hu; Wenming Zheng (IEEE Trans. Cybern., 2014)

L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction. - Wenming Zheng; Zhouchen Lin; Haixian Wang (IEEE Trans. Neural Networks Learn. Syst., 2014)

Locally principal component analysis based on L1-norm maximisation. - Guanyou Lin; Nianzu Tang; Haixian Wang (IET Image Process., 2015)

Sparse-Network Based Framework for Detecting the Overlapping Community Structure of Brain Functional Network. - Xuan Li 001; Zilan Hu; Haixian Wang (BICS, 2016)

Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization. - Xuan Li 001; Zilan Hu; Haixian Wang (ICONIP (3), 2016)

Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering. - Jing Wang 177; Zilan Hu; Haixian Wang (ICONIP (3), 2016)

Robust common spatial patterns with sparsity. - Xiaomeng Li; Xuesong Lu; Haixian Wang (Biomed. Signal Process. Control., 2016)

Action understanding based on a combination of one-versus-rest and one-versus-one multi-classification methods. - 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 (CISP-BMEI, 2017)

One class support vector machine based filter for improving the classification accuracy of SSVEP BCI. - Gao-Peng Sun; Hui Liu; Yanhua Shi; Yue Leng; Pan Lin; Ruimin Wang; Yuankui Yang; Junfeng Gao; Haixian Wang; Keiji Iramina; Sheng Ge (CISP-BMEI, 2017)

Generalization of Local Temporal Correlation Common Spatial Patterns Using Lp-norm (0 < p < 2). - Na Fang; Haixian Wang (ICONIP (4), 2017)

Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test. - Yunqiao Wu; John Q. Gan; Haixian Wang (ICONIP (3), 2017)

Correntropy induced metric based common spatial patterns. - Jiyao Dong; Badong Chen; Na Lu; Haixian Wang; Nanning Zheng 001 (MLSP, 2017)

A Brain-Computer Interface Based on a Few-Channel EEG-fNIRS Bimodal System. - Sheng Ge; Qing Yang; Ruimin Wang; Pan Lin; Junfeng Gao; Yue Leng; Yuankui Yang; Haixian Wang (IEEE Access, 2017)

Robust maximum signal fraction analysis for blind source separation. - Xuesong Lu; Xiaomeng Li; MaoSheng Fu; Haixian Wang (IET Signal Process., 2017)

A Double-Partial Least-Squares Model for the Detection of Steady-State Visual Evoked Potentials. - Sheng Ge; Ruimin Wang; Yue Leng; Haixian Wang; Pan Lin; Keiji Iramina (IEEE J. Biomed. Health Informatics, 2017)

Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection. - Xuan Li 001; Zilan Hu; Haixian Wang (Cogn. Comput., 2018)

Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks. - Xuan Li 001; John Q. Gan; Haixian Wang (NeuroImage, 2018)

Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain-Computer Interfaces. - Sheng Ge; Yanhua Shi; Ruimin Wang; Pan Lin; Jun-Feng Gao; Gao-Peng Sun; Keiji Iramina; Yuankui Yang; Yue Leng; Haixian Wang; Wenming Zheng (IEEE J. Biomed. Health Informatics, 2018)

Common spatial patterns combined with phase synchronization information for classification of EEG signals. - X. Li; Hui Fan; Haixian Wang; Liping Wang (Biomed. Signal Process. Control., 2019)

Random matrix theory for analysing the brain functional network in lower limb motor imagery. - Lingyun Gu; Zhenhua Yu; Tian Ma; Haixian Wang; Zhanli Li; Hui Fan (EMBC, 2020)

The Evaluation of Brain Age Prediction by Different Functional Brain Network Construction Methods. - Hongfang Han; Xingliang Xiong; Jianfeng Yan; Haixian Wang; Mengting Wei (ICONIP (3), 2020)

Phase Synchronization Indices for Classification of Action Intention Understanding Based on EEG Signals. - Xingliang Xiong; Xuesong Lu; Lingyun Gu; Hongfang Han; Zhongxian Hong; Haixian Wang (ICONIP (3), 2020)

Classifying action intention understanding EEG signals based on weighted brain network metric features. - Xingliang Xiong; Zhenhua Yu; Tian Ma; Haixian Wang; Xuesong Lu; Hui Fan (Biomed. Signal Process. Control., 2020)

Local temporal common spatial patterns modulated with phase locking value. - Zhenhua Yu; Tian Ma; Na Fang; Haixian Wang; Zhanli Li; Hui Fan (Biomed. Signal Process. Control., 2020)

Directed Connectivity Analysis of the Brain Network in Mathematically Gifted Adolescents. - Mengting Wei; Qingyun Wang; Xiang Jiang 007; Yiyun Guo; Hui Fan; Haixian Wang; Xuesong Lu (Comput. Intell. Neurosci., 2020)

Neural Dissociations between Magnitude Processing of Fractions and Decimals. - Pingting Lin; Yanmei Zhu; Xinlin Zhou; Yi Bai; Haixian Wang (EMBC, 2021)

EEG-Based Classification of Lower Limb Motor Imagery with STFT and CNN. - Boyang Lu; Sheng Ge; Haixian Wang (ICONIP (6), 2021)

Multilinear Discriminative Spatial Patterns for Movement-Related Cortical Potential Based on EEG Classification with Tensor Representation. - Qian Cai; Jianfeng Yan; Hongfang Han; Weiqiang Gong; Haixian Wang (Comput. Intell. Neurosci., 2021)

Action Intention Understanding EEG Signal Classification Based on Improved Discriminative Spatial Patterns. - Xingliang Xiong; Hua Yu; Haixian Wang; Jiuchuan Jiang (Comput. Intell. Neurosci., 2021)

Common Spatial Pattern with L21-Norm. - Jingyu Gu; Mengting Wei; Yiyun Guo; Haixian Wang (Neural Process. Lett., 2021)

EEG-based Emotion Recognition Using Multiple Kernel Learning. - Qian Cai; Guo-Chong Cui; Haixian Wang (Int. J. Autom. Comput., 2022)

Multi-class classification of action intention understanding brain signals based on thresholding graph metric. - Qian Cai; Xingliang Xiong; Weiqiang Gong; Haixian Wang (J. Intell. Fuzzy Syst., 2022)

Euler common spatial pattern modulated with cross-frequency coupling. - Jing Sun; Haixian Wang; Jiuchuan Jiang (Knowl. Inf. Syst., 2022)

Euler common spatial patterns for EEG classification. - Jing Sun; Mengting Wei; Ning Luo; Zhanli Li; Haixian Wang (Medical Biol. Eng. Comput., 2022)

Prediction of brain age based on the community structure of functional networks. - Hongfang Han; Sheng Ge; Haixian Wang (Biomed. Signal Process. Control., 2023)

Effective connectivity analysis of brain networks of mathematically gifted adolescents using transfer entropy. - Yakun Zhu; Weiqiang Gong; Xuesong Lu; Haixian Wang (J. Intell. Fuzzy Syst., 2023)

Effective Connectivity Analysis and Classification of Action Observation From Different Perspectives: An fMRI Study. - Sheng Ge; Jing He; Pan Lin; Ruimin Wang; Keiji Iramina; Yue Leng; Haixian Wang; Wenming Zheng; Chaoyong Xiao; Zonghong Li (IEEE Trans. Biomed. Eng., 2023)

Block Distributed Joint Temporal-Frequency- Phase Modulation for Steady-State Visual Evoked Potential Based Brain-Computer Interface With a Limited Number of Frequencies. - Sheng Ge; Hui Yang; Ruimin Wang; Yue Leng; Keiji Iramina; Pan Lin; Haixian Wang (IEEE J. Biomed. Health Informatics, 2023)

Capped L21-norm-based common spatial patterns for EEG signals classification applicable to BCI systems. - Jingyu Gu; Jiuchuan Jiang; Sheng Ge; Haixian Wang (Medical Biol. Eng. Comput., 2023)

Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data. - Huiyang Wang; Jiuchuan Jiang; John Q. Gan; Haixian Wang (IEEE Trans. Biomed. Eng., 2023)

EEG Microstate-Functional Connectivity of Observing Animals' Behavior in Healthy Children. - Haixian Wang; Xiaoting Ding (CCEAI, 2024)

Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest. - Runkai Zhang; Rong Rong; John Q. Gan; Yun Xu; Haixian Wang; Xiaoyun Wang (Medical Biol. Eng. Comput., 2024)

Paradigm fusion learning from overt and silent chinese speech based on pseudo-siamese multiscale capsule neural network. - Jingyu Gu; John Q. Gan; Haixian Wang (Speech Commun., 2025)

An Interpretable Contrastive Learning Transformer for EEG-Based Person Identification. - Xinghan Shao; C. Chang; John Q. Gan; Haixian Wang (IEEE Trans. Inf. Forensics Secur., 2025)

Lightweight Source-Free Domain Adaptation Based on Adaptive Euclidean Alignment for Brain-Computer Interfaces. - Huiyang Wang; Hongfang Han; John Q. Gan; Haixian Wang (IEEE J. Biomed. Health Informatics, 2025)

Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer. - Runkai Zhang; Hua Yu; John Q. Gan; Haixian Wang (CoRR, 2025)