Peng Xu

Orcid: 0000-0002-7932-0386

Affiliations:
  • University of Electronic Science and Technology of China, Center for Information in Medicine, Chengdu, China
  • University of California, Los Angeles, Geffen School of Medicine, Department of Neurosurgery, CA, USA (2007 - 2009)
  • University of Electronic Science and Technology of China, Department of Biometrical Engineering, Chengdu, China (PhD 2006)


According to our database1, Peng Xu authored at least 92 papers between 2006 and 2024.

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Bibliography

2024
Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Abnormal trial-to-trial variability in P300 time-varying directed eeg network of schizophrenia.
Medical Biol. Eng. Comput., November, 2024

Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Multimodal Covariance Network Reflects Individual Cognitive Flexibility.
Int. J. Neural Syst., April, 2024

Relationship Between Decision Making and Resting-State EEG in Adolescents With Different Emotional Stabilities.
IEEE Trans. Cogn. Dev. Syst., February, 2024

DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis.
CoRR, 2024

A Novel Robust Sparse Granger Causality Inference Method and Its Application in MI EEG.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

Dynamic causal modeling of P300 processing in schizophrenia.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

A Hybrid CNN-Transformer Approach for Continuous Fine Finger Motion Decoding from sEMG Signals.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

Heterogeneity characterization of psychiatric diseases based on common orthogonal basis extraction.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

MindLDM: Reconstruct Visual Stimuli from fMRI Using Latent Diffusion Model.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

A Novel End-to-End Framework to Image Cortical Networks from EEG.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

2023
Within and between electrophysiology networks for EEG and EMG under different thumb forces.
Biomed. Signal Process. Control., September, 2023

The correlation between upper body grip strength and resting-state EEG network.
Medical Biol. Eng. Comput., August, 2023

A transformer-based deep neural network model for SSVEP classification.
Neural Networks, July, 2023

Information transmission velocity-based dynamic hierarchical brain networks.
NeuroImage, April, 2023

A Wearable Master-Slave Rehabilitation Robot Based on an Epidermal Array Electrode Sleeve and Multichannel Electromyography Network.
Adv. Intell. Syst., March, 2023

2022
Multimodal collaborative BCI system based on the improved CSP feature extraction algorithm.
Virtual Real. Intell. Hardw., 2022

A Novel Method for Constructing EEG Large-Scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS.
IEEE Trans. Cybern., 2022

Learning Curve of a Short-Time Neurofeedback Training: Reflection of Brain Network Dynamics Based on Phase-Locking Value.
IEEE Trans. Cogn. Dev. Syst., 2022

The Task-Dependent Modular Covariance Networks Unveiled by Multiple-Way Fusion-Based Analysis.
Int. J. Neural Syst., 2022

Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series.
Frontiers Neuroinformatics, 2022

2021
A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging.
IEEE Trans. Medical Imaging, 2021

EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

How Alpha Rhythm Spatiotemporally Acts Upon the Thalamus-Default Mode Circuit in Idiopathic Generalized Epilepsy.
IEEE Trans. Biomed. Eng., 2021

Constructing EEG Large-Scale Cortical Functional Network Connectivity Based on Brain Atlas by S Estimator.
IEEE Trans. Cogn. Dev. Syst., 2021

The Growing From Adolescence to Adulthood Influences the Decision Strategy to Unfair Situations.
IEEE Trans. Cogn. Dev. Syst., 2021

Reconfiguration of Brain Network Between Resting State and P300 Task.
IEEE Trans. Cogn. Dev. Syst., 2021

An end-to-end 3D convolutional neural network for decoding attentive mental state.
Neural Networks, 2021

Decision-Feedback Stages Revealed by Hidden Markov Modeling of EEG.
Int. J. Neural Syst., 2021

Noise-assisted Multivariate Empirical Mode Decomposition based Causal Decomposition for Detecting Upper Limb Movement in EEG-EMG Hybrid Brain Computer Interface.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Temporal Flexibility of Spatial and Frequency Embedded Network Predicts Individual Learning Ability Variation in Neurofeedback Training.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2021

2020
Constructing large-scale cortical brain networks from scalp EEG with Bayesian nonnegative matrix factorization.
Neural Networks, 2020

Directed EEG neural network analysis by LAPPS (p≤1) Penalized sparse Granger approach.
Neural Networks, 2020

Predicting individual decision-making responses based on single-trial EEG.
NeuroImage, 2020

Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting- to task-state: Evidence from a simultaneous event-related EEG-fMRI study.
NeuroImage, 2020

Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset.
Entropy, 2020

Robust brain causality network construction based on Bayesian multivariate autoregression.
Biomed. Signal Process. Control., 2020

IEEE Access Special Section Editorial: Neural Engineering Informatics.
IEEE Access, 2020

2019
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations.
IEEE Trans. Biomed. Eng., 2019

Sparse EEG Source Localization Using LAPPS: Least Absolute l-P (0<p<1) Penalized Solution.
IEEE Trans. Biomed. Eng., 2019

Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs.
Neural Networks, 2019

Heterogeneity of synaptic input connectivity regulates spike-based neuronal avalanches.
Neural Networks, 2019

The Dynamic Brain Networks of Motor Imagery: Time-Varying Causality Analysis of Scalp EEG.
Int. J. Neural Syst., 2019

Transcranial Magnetic Stimulation to the Middle Frontal Gyrus During Attention Modes Induced Dynamic Module Reconfiguration in Brain Networks.
Frontiers Neuroinformatics, 2019

Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy.
Frontiers Comput. Neurosci., 2019

Separated channel convolutional neural network to realize the training free motor imagery BCI systems.
Biomed. Signal Process. Control., 2019

Fusing Canonical Coefficients for Frequency Recognition in SSVEP-Based BCI.
IEEE Access, 2019

Sparse Autoregressive Modeling via the Least Absolute LP-Norm Penalized Solution.
IEEE Access, 2019

Identification of Neuromuscular Causal Relationship Between Brain and Muscles in Limb Movement by Using Ensemble Empirical Mode Decomposition based Causal Decomposition.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

The Different Patterns of Reward Magnitude: A Scalp EEG Research.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

Emotion Recognition with the Feature extracted from brain Networks.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

2018
Top-Down Disconnectivity in Schizophrenia During P300 Tasks.
Frontiers Comput. Neurosci., 2018

Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration.
Frontiers Comput. Neurosci., 2018

An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface.
Comput. Math. Methods Medicine, 2018

The Time-Varying Network Patterns in Motor Imagery Revealed by Adaptive Directed Transfer Function Analysis for fMRI.
IEEE Access, 2018

The Construction of Large-Scale Cortical Networks for P300 From Scalp EEG.
IEEE Access, 2018

Congestive Heart Failure Detection Via Short-Time Electrocardiographic Monitoring For Fast Reference Advice In Urgent Medical Conditions.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
The extension of multivariate synchronization index method for SSVEP-based BCI.
Neurocomputing, 2017

Time-Varying Networks of Inter-Ictal Discharging Reveal Epileptogenic Zone.
Frontiers Comput. Neurosci., 2017

Performance evaluation of Noise-Assisted Multivariate Empirical Mode Decomposition and its application to multichannel EMG signals.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network.
NeuroImage, 2016

2015
An Adaptive Motion-Onset VEP-Based Brain-Computer Interface.
IEEE Trans. Auton. Ment. Dev., 2015

Critical Roles of the Direct GABAergic Pallido-cortical Pathway in Controlling Absence Seizures.
PLoS Comput. Biol., 2015

Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation analysis (emiCCA).
NeuroImage, 2015

Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems.
Comput. Math. Methods Medicine, 2015

Lp norm spectral regression for feature extraction in outlier conditions.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

A speller system for locked-in patient to communicate with friends.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014
Differentiating Between Psychogenic Nonepileptic Seizures and Epilepsy Based on Common Spatial Pattern of Weighted EEG Resting Networks.
IEEE Trans. Biomed. Eng., 2014

Bidirectional Control of Absence Seizures by the Basal Ganglia: A Computational Evidence.
PLoS Comput. Biol., 2014

Simultaneous EEG-fMRI: Trial level spatio-temporal fusion for hierarchically reliable information discovery.
NeuroImage, 2014

An Efficient Frequency Recognition Method Based on Likelihood Ratio Test for SSVEP-Based BCI.
Comput. Math. Methods Medicine, 2014

Using particle swarm to select frequency band and time interval for feature extraction of EEG based BCI.
Biomed. Signal Process. Control., 2014

Robust removal of ocular artifacts by combining Independent Component Analysis and system identification.
Biomed. Signal Process. Control., 2014

2013
Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery.
Comput. Math. Methods Medicine, 2013

Improved wavelet entropy calculation with window functions and its preliminary application to study intracranial pressure.
Comput. Biol. Medicine, 2013

SSVEP Responses Reveal the Efficiency of Functional Brain Network Entrained by the Flickering Stimulus.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013

2010
Improved noninvasive intracranial pressure assessment with nonlinear kernel regression.
IEEE Trans. Inf. Technol. Biomed., 2010

Forecasting ICP Elevation Based on Prescient Changes of Intracranial Pressure Waveform Morphology.
IEEE Trans. Biomed. Eng., 2010

Neuroelectric source imaging using 3SCO: A space coding algorithm based on particle swarm optimization and l<sub>0</sub> norm constraint.
NeuroImage, 2010

A parallel framework for simultaneous EEG/fMRI analysis: Methodology and simulation.
NeuroImage, 2010

A data mining framework for time series estimation.
J. Biomed. Informatics, 2010

2009
Morphological Clustering and Analysis of Continuous Intracranial Pressure.
IEEE Trans. Biomed. Eng., 2009

Regression analysis for peak designation in pulsatile pressure signals.
Medical Biol. Eng. Comput., 2009

Gaussian source model based iterative algorithm for EEG source imaging.
Comput. Biol. Medicine, 2009

Time Series Mining Approach for Noninvasive Intracranial Pressure Assessment: An Investigation of Different Regularization Techniques.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008
Random Subwindows for Robust Peak Recognition in Intracranial Pressure Signals.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

2007
Lp Norm Iterative Sparse Solution for EEG Source Localization.
IEEE Trans. Biomed. Eng., 2007

Development and evaluation of the sparse decomposition method with mixed over-complete dictionary for evoked potential estimation.
Comput. Biol. Medicine, 2007

A study on medical image registration by mutual information with pyramid data structure.
Comput. Biol. Medicine, 2007

2006
Two dictionaries matching pursuit for sparse decomposition of signals.
Signal Process., 2006

A novel method based on realistic head model for EEG denoising.
Comput. Methods Programs Biomed., 2006


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