Wei Wu

Orcid: 0000-0003-3938-8359

Affiliations:

South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
Stanford University, Department of Psychiatry and Behavioral Sciences, CA, USA
Tsinghua University, Beijing, China (PhD 2012)

According to our database¹, Wei Wu authored at least 37 papers between 2006 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Sparse Bayesian Learning for End-to-End EEG Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

WRA-MTSI: A Robust Extended Source Imaging Algorithm Based on Multi-Trial EEG.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., October, 2023

Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution.

[BibT_eX]

[DOI]

Srikantan S. Nagarajan

IEEE Trans. Medical Imaging, September, 2023

Robust Bayesian Estimation of EEG-Based Brain Causality Networks.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., June, 2023

Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging.

[BibT_eX]

[DOI]

Srikantan S. Nagarajan

IEEE Trans. Medical Imaging, March, 2023

FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., February, 2023

Neurofeedback Training With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion Regulation.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2023

2022

Improving EEG Decoding via Clustering-Based Multitask Feature Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Spatiotemporal-Filtering-Based Channel Selection for Single-Trial EEG Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

fMRI-SI-STBF: An fMRI-informed Bayesian electromagnetic spatio-temporal extended source imaging.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2021

2020

Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Improving EEG Decoding via Clustering-based Multi-task Feature Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2020

A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG.

[BibT_eX]

[DOI]

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019

Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization.

[BibT_eX]

[DOI]

Srikantan S. Nagarajan

Yuanqing Li

IEEE Trans. Biomed. Eng., 2019

A novel multi-step Q-learning method to improve data efficiency for deep reinforcement learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

2018

Variation sparse source imaging based on conditional mean for electromagnetic extended sources.

[BibT_eX]

[DOI]

Srikantan S. Nagarajan

Neurocomputing, 2018

Deep learning based on Batch Normalization for P300 signal detection.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Complex Network Analysis Of Resting State Electroencephalography in Stroke.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

2017

A Novel Algorithm for Learning Sparse Spatio-Spectral Patterns for Event-Related Potentials.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

An Algorithm Combining Spatial Filtering and Temporal Down-Sampling with Applications to ERP Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Bayesian Machine Learning: EEG\/MEG signal processing measurements.

[BibT_eX]

[DOI]

Wei Wu

Srikantan S. Nagarajan

Zhe Chen

IEEE Signal Process. Mag., 2016

Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness.

[BibT_eX]

[DOI]

Proc. IEEE, 2016

Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion.

[BibT_eX]

[DOI]

Srikantan S. Nagarajan

NeuroImage, 2016

2015

RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG.

[BibT_eX]

[DOI]

Feifei Qi

Yuanqing Li

Wei Wu

IEEE Trans. Neural Networks Learn. Syst., 2015

Spectral-Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2015

Probabilistic Common Spatial Patterns for Multichannel EEG Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2015

2014

Bayesian estimation of ERP components from multicondition and multichannel EEG.

[BibT_eX]

[DOI]

NeuroImage, 2014

2011

A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG.

[BibT_eX]

[DOI]

NeuroImage, 2011

Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG [NeuroImage 56/4 (2011) 1929-1945].

[BibT_eX]

[DOI]

NeuroImage, 2011

2010

Hierarchical Bayesian modeling of inter-trial variability and variational Bayesian learning of common spatial patterns from multichannel EEG.

[BibT_eX]

[DOI]

Wei Wu