Wei Wu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 23

Top Topics

Bayesian Estimation

Sparse Representation

Matrix Factorization

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Biomed. Eng.

Publications

Gexin Huang, Ke Liu, Jiawen Liang, Chang Cai, Zhenghui Gu, Feifei Qi, Yuanqing Li, Zhu Liang Yu, Wei Wu
Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Weichen Huang, Wei Wu, Molly V. Lucas, Haiyun Huang, Zhenfu Wen, Yuanqing Li
Neurofeedback Training With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion Regulation. IEEE Trans. Affect. Comput. 14 (2) (2023)
Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. IEEE Trans. Medical Imaging 42 (3) (2023)
Wenlong Wang, Feifei Qi, David Paul Wipf, Chang Cai, Tianyou Yu, Yuanqing Li, Yu Zhang, Zhuliang Yu, Wei Wu
Sparse Bayesian Learning for End-to-End EEG Decoding. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Ke Liu, Mingzhao Yang, Zhuliang Yu, Guoyin Wang, Wei Wu
FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding. IEEE Trans. Biomed. Eng. 70 (2) (2023)
Ke Liu, Qin Lai, Peiyang Li, Zhuliang Yu, Bin Xiao, Cuntai Guan, Wei Wu
Robust Bayesian Estimation of EEG-Based Brain Causality Networks. IEEE Trans. Biomed. Eng. 70 (6) (2023)
Ke Liu, Zhen Wang, Zhuliang Yu, Bin Xiao, Hong Yu, Wei Wu
WRA-MTSI: A Robust Extended Source Imaging Algorithm Based on Multi-Trial EEG. IEEE Trans. Biomed. Eng. 70 (10) (2023)
Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. IEEE Trans. Medical Imaging 42 (9) (2023)
Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki
Improving EEG Decoding via Clustering-Based Multitask Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Feifei Qi, Wei Wu, Zhu Liang Yu, Zhenghui Gu, Zhenfu Wen, Tianyou Yu, Yuanqing Li
Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification. IEEE Trans. Cybern. 51 (2) (2021)
Feifei Qi, Wei Wu, Ke Liu, Tianyou Yu, Yang Cao
A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG. ICCSIP (2020)
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li
Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination. Neurocomputing 389 (2020)
Gexin Huang, Zhu Liang Yu, Wei Wu, Ke Liu, Zhenghui Gu, Feifei Qi, Yuanqing Li, Jiawen Liang
Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder. CoRR (2020)
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang, Ling Cen, Srikantan Nagarajan, Yuanqing Li
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization. IEEE Trans. Biomed. Eng. 66 (9) (2019)
Yinlong Yuan, Zhu Liang Yu, Zhenghui Gu, Yao Yeboah, Wei Wu, Xiaoyan Deng, Jingcong Li, Yuanqing Li
A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning. Knowl. Based Syst. 175 (2019)
Mingfei Liu, Wei Wu, Zhenghui Gu, Zhuliang Yu, Feifei Qi, Yuanqing Li
Deep learning based on Batch Normalization for P300 signal detection. Neurocomputing 275 (2018)
Jiayu Qiu, Wei Wu, Feifei Qi, Baiquan Zeng, Yi Guo, Ge Dang
Complex Network Analysis Of Resting State Electroencephalography in Stroke. DSL (2018)
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, Srikantan S. Nagarajan
Variation sparse source imaging based on conditional mean for electromagnetic extended sources. Neurocomputing 313 (2018)
Feifei Qi, Yuanqing Li, Zhenfu Wen, Wei Wu
An Algorithm Combining Spatial Filtering and Temporal Down-Sampling with Applications to ERP Feature Extraction. ICONIP (2) (2017)
Chaohua Wu, Ke Lin, Wei Wu, Xiaorong Gao
A Novel Algorithm for Learning Sparse Spatio-Spectral Patterns for Event-Related Potentials. IEEE Trans. Neural Networks Learn. Syst. 28 (4) (2017)
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, Srikantan S. Nagarajan
Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion. NeuroImage 139 (2016)
Yuanqing Li, Jiahui Pan, Jinyi Long, Tianyou Yu, Fei Wang, Zhuliang Yu, Wei Wu
Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness. Proc. IEEE 104 (2) (2016)
Wei Wu, Srikantan S. Nagarajan, Zhe Chen
Bayesian Machine Learning: EEG\/MEG signal processing measurements. IEEE Signal Process. Mag. 33 (1) (2016)
Wei Wu, Zhe Chen, Xiaorong Gao, Yuanqing Li, Emery N. Brown, Shangkai Gao
Probabilistic Common Spatial Patterns for Multichannel EEG Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 37 (3) (2015)
Feifei Qi, Yuanqing Li, Wei Wu
RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG. IEEE Trans. Neural Networks Learn. Syst. 26 (12) (2015)
Lin He, Yuanqing Li, Xiaoxin Li, Wei Wu
Spectral-Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 53 (5) (2015)
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li
STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging. Int. J. Neural Syst. 25 (4) (2015)
Wei Wu, Chaohua Wu, Shangkai Gao, Baolin Liu, Yuanqing Li, Xiaorong Gao
Bayesian estimation of ERP components from multicondition and multichannel EEG. NeuroImage 88 (2014)
Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG. NeuroImage 56 (4) (2011)
Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG [NeuroImage 56/4 (2011) 1929-1945]. NeuroImage 57 (4) (2011)
Wei Wu, Zhe Chen, Shangkai Gao, Emery N. Brown
Hierarchical Bayesian modeling of inter-trial variability and variational Bayesian learning of common spatial patterns from multichannel EEG. ICASSP (2010)
Wei Wu, Xiaorong Gao, Bo Hong, Shangkai Gao
Classifying Single-Trial EEG During Motor Imagery by Iterative Spatio-Spectral Patterns Learning (ISSPL). IEEE Trans. Biomed. Eng. 55 (6) (2008)
Zhonglin Lin, Changshui Zhang, Wei Wu, Xiaorong Gao
Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. IEEE Trans. Biomed. Eng. 54 (6) (2007)
Ruiping Wang, Yajing Zhang, Wei Wu, Hesheng Liu, Xiaorong Gao, Shangkai Gao
Localization of FFA Using SSVEP-based Binocular Rivalry. EMBC (2006)
Laura Astolfi, Febo Cincotti, Donatella Mattia, Marco Mattiocco, Fabrizio de Vico Fallani, Maria Grazia Marciani, Mauro Ursino, Melissa Zavaglia, Shangkai Gao, Wei Wu, Fabio Babiloni
Cortical Connectivity Patterns During Imagination Of Limb Movements In Normal Subjects And In A Spinal Cord Injured Patient. EMBC (2006)
Zhonglin Lin, Changshui Zhang, Wei Wu, Xiaorong Gao
Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs. IEEE Trans. Biomed. Eng. 53 (12) (2006)