Cortical Connectivity Patterns During Imagination Of Limb Movements In Normal Subjects And In A Spinal Cord Injured Patient. - Laura Astolfi; Febo Cincotti; Donatella Mattia; Marco Mattiocco; Fabrizio de Vico Fallani; Maria Grazia Marciani; Mauro Ursino; Melissa Zavaglia; Shangkai Gao; Wei Wu 022; Fabio Babiloni (EMBC, 2006)

Localization of FFA Using SSVEP-based Binocular Rivalry. - Ruiping Wang; Yajing Zhang; Wei Wu 022; Hesheng Liu; Xiaorong Gao; Shangkai Gao (EMBC, 2006)

Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. - Zhonglin Lin; Changshui Zhang; Wei Wu 022; Xiaorong Gao (IEEE Trans. Biomed. Eng., 2007)

Classifying Single-Trial EEG During Motor Imagery by Iterative Spatio-Spectral Patterns Learning (ISSPL). - Wei Wu 022; Xiaorong Gao; Bo Hong; Shangkai Gao (IEEE Trans. Biomed. Eng., 2008)

Hierarchical Bayesian modeling of inter-trial variability and variational Bayesian learning of common spatial patterns from multichannel EEG. - Wei Wu 022; Zhe Chen 001; Shangkai Gao; Emery N. Brown (ICASSP, 2010)

Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG [NeuroImage 56/4 (2011) 1929-1945]. - Wei Wu 022; Zhe Chen 001; Shangkai Gao; Emery N. Brown (NeuroImage, 2011)

A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG. - Wei Wu 022; Zhe Chen 001; Shangkai Gao; Emery N. Brown (NeuroImage, 2011)

Bayesian estimation of ERP components from multicondition and multichannel EEG. - Wei Wu 022; Chaohua Wu; Shangkai Gao; Baolin Liu; Yuanqing Li 001; Xiaorong Gao (NeuroImage, 2014)

STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging. - Ke Liu 008; Zhu Liang Yu; Wei Wu 022; Zhenghui Gu; Yuanqing Li 001 (Int. J. Neural Syst., 2015)

Probabilistic Common Spatial Patterns for Multichannel EEG Analysis. - Wei Wu 022; Zhe Chen 001; Xiaorong Gao; Yuanqing Li 001; Emery N. Brown; Shangkai Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Spectral-Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation. - Lin He 001; Yuanqing Li 001; Xiaoxin Li; Wei Wu 022 (IEEE Trans. Geosci. Remote. Sens., 2015)

RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG. - Feifei Qi; Yuanqing Li 001; Wei Wu 022 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion. - Ke Liu 008; Zhu Liang Yu; Wei Wu 022; Zhenghui Gu; Yuanqing Li 001; Srikantan S. Nagarajan (NeuroImage, 2016)

Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness. - Yuanqing Li 001; Jiahui Pan; Jinyi Long; Tianyou Yu; Fei Wang 026; Zhuliang Yu; Wei Wu 022 (Proc. IEEE, 2016)

Bayesian Machine Learning: EEG /MEG signal processing measurements. - Wei Wu 022; Srikantan S. Nagarajan; Zhe Chen 001 (IEEE Signal Process. Mag., 2016)

An Algorithm Combining Spatial Filtering and Temporal Down-Sampling with Applications to ERP Feature Extraction. - Feifei Qi; Yuanqing Li 001; Zhenfu Wen; Wei Wu 022 (ICONIP (2), 2017)

A Novel Algorithm for Learning Sparse Spatio-Spectral Patterns for Event-Related Potentials. - Chaohua Wu; Ke Lin; Wei Wu 022; Xiaorong Gao (IEEE Trans. Neural Networks Learn. Syst., 2017)

Complex Network Analysis Of Resting State Electroencephalography in Stroke. - Jiayu Qiu; Wei Wu 022; Feifei Qi; Baiquan Zeng; Yi Guo; Ge Dang (DSP, 2018)

Deep learning based on Batch Normalization for P300 signal detection. - Mingfei Liu; Wei Wu 022; Zhenghui Gu; Zhuliang Yu; Feifei Qi; Yuanqing Li 001 (Neurocomputing, 2018)

Variation sparse source imaging based on conditional mean for electromagnetic extended sources. - Ke Liu 008; Zhu Liang Yu; Wei Wu 022; Zhenghui Gu; Yuanqing Li 001; Srikantan S. Nagarajan (Neurocomputing, 2018)

A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning. - Yinlong Yuan; Zhu Liang Yu; Zhenghui Gu; Yao Yeboah; Wei Wu 022; Xiaoyan Deng; Jingcong Li; Yuanqing Li 001 (Knowl. Based Syst., 2019)

Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization. - Ke Liu 008; Zhu Liang Yu; Wei Wu 022; Zhenghui Gu; Jun Zhang 026; Ling Cen; Srikantan S. Nagarajan; Yuanqing Li 001 (IEEE Trans. Biomed. Eng., 2019)

A Novel Hybrid-Jump-Based Sampling Method for Complex Social Networks. - Lianggui Liu; Lingmin Wang; Wei Wu 022; Huiling Jia; Yu Zhang 009 (IEEE Trans. Comput. Soc. Syst., 2019)

A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG. - Feifei Qi; Wei Wu 022; Ke Liu 008; Tianyou Yu; Yang Cao (ICCSIP, 2020)

Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder. - Gexin Huang; Zhu Liang Yu; Wei Wu 022; Ke Liu 008; Zhenghui Gu; Feifei Qi; Yuanqing Li 001; Jiawen Liang (CoRR, 2020)

Improving EEG Decoding via Clustering-based Multi-task Feature Learning. - Yu Zhang 009; Tao Zhou 002; Wei Wu 022; Hua Xie; Hongru Zhu; Guoxu Zhou; Andrzej Cichocki (CoRR, 2020)

Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination. - Ke Liu 008; Zhu Liang Yu; Wei Wu 022; Zhenghui Gu; Yuanqing Li 001 (Neurocomputing, 2020)

Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding. - Chun-Shu Wei; Corey J. Keller; Junhua Li; Yuan-Pin Lin; Masaki Nakanishi; Johanna Wagner; Wei Wu 022; Yu Zhang 009; Tzyy-Ping Jung (Frontiers Comput. Neurosci., 2021)

fMRI-SI-STBF: An fMRI-informed Bayesian electromagnetic spatio-temporal extended source imaging. - Ke Liu 008; Zhu Liang Yu; Wei Wu 022; Xun Chen; Zhenghui Gu; Cuntai Guan (Neurocomputing, 2021)

Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification. - Feifei Qi; Wei Wu 022; Zhu Liang Yu; Zhenghui Gu; Zhenfu Wen; Tianyou Yu; Yuanqing Li 001 (IEEE Trans. Cybern., 2021)

Improving EEG Decoding via Clustering-Based Multitask Feature Learning. - Yu Zhang 009; Tao Zhou 002; Wei Wu 022; Hua Xie; Hongru Zhu; Guoxu Zhou; Andrzej Cichocki (IEEE Trans. Neural Networks Learn. Syst., 2022)

Neurofeedback Training With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion Regulation. - Weichen Huang; Wei Wu 022; Molly V. Lucas; Haiyun Huang; Zhenfu Wen; Yuanqing Li 001 (IEEE Trans. Affect. Comput., 2023)

FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding. - Ke Liu 008; Mingzhao Yang; Zhuliang Yu; Guoyin Wang 001; Wei Wu 022 (IEEE Trans. Biomed. Eng., 2023)

Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. - Chang Cai; Huicong Kang; Ali Hashemi 002; Dan Chen 001; Mithun Diwakar; Stefan Haufe; Kensuke Sekihara; Wei Wu 022; Srikantan S. Nagarajan (IEEE Trans. Medical Imaging, 2023)

Robust Bayesian Estimation of EEG-Based Brain Causality Networks. - Ke Liu 008; Qin Lai; Peiyang Li; Zhuliang Yu; Bin Xiao 002; Cuntai Guan; Wei Wu 022 (IEEE Trans. Biomed. Eng., 2023)

Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. - Chang Cai; Yuanshun Long; Sanjay Ghosh; Ali Hashemi 002; Yijing Gao; Mithun Diwakar; Stefan Haufe; Kensuke Sekihara; Wei Wu 022; Srikantan S. Nagarajan (IEEE Trans. Medical Imaging, 2023)

WRA-MTSI: A Robust Extended Source Imaging Algorithm Based on Multi-Trial EEG. - Ke Liu 008; Zhen Wang; Zhuliang Yu; Bin Xiao 002; Hong Yu 007; Wei Wu 022 (IEEE Trans. Biomed. Eng., 2023)

Sparse Bayesian Learning for End-to-End EEG Decoding. - Wenlong Wang; Feifei Qi; David Paul Wipf; Chang Cai; Tianyou Yu; Yuanqing Li 001; Yu Zhang 009; Zhuliang Yu; Wei Wu 022 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

FBSTCNet: A Spatio-Temporal Convolutional Network Integrating Power and Connectivity Features for EEG-Based Emotion Decoding. - Weichen Huang; Wenlong Wang; Yuanqing Li 001; Wei Wu 022 (IEEE Trans. Affect. Comput., 2024)

Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network. - Gexin Huang; Ke Liu 008; Jiawen Liang; Chang Cai; Zhenghui Gu; Feifei Qi; Yuanqing Li 001; Zhu Liang Yu; Wei Wu 022 (IEEE Trans. Neural Networks Learn. Syst., 2024)

MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding. - Ke Liu 008; Tao Yang; Zhuliang Yu; Weibo Yi; Hong Yu 007; Guoyin Wang 001; Wei Wu 022 (IEEE J. Biomed. Health Informatics, 2024)

EEG-Based Cross-Subject Emotion Recognition Using Sparse Bayesian Learning With Enhanced Covariance Alignment. - Wenlong Wang; Feifei Qi; Weichen Huang; Yuanqing Li 001; Zhuliang Yu; Wei Wu 022 (IEEE Trans. Affect. Comput., 2025)

Dynamic Emotion-Dependent Network With Relational Subgraph Interaction for Multimodal Emotion Recognition. - Ye Wang 006; Wei Zhang; Ke Liu 008; Wei Wu 022; Feng Hu 001; Hong Yu 007; Guoyin Wang 001 (IEEE Trans. Affect. Comput., 2025)

DMSACNN: Deep Multiscale Attentional Convolutional Neural Network for EEG-Based Motor Decoding. - Ke Liu 008; Xin Xing; Tao Yang; Zhuliang Yu; Bin Xiao 002; Guoyin Wang 001; Wei Wu 022 (IEEE J. Biomed. Health Informatics, 2025)