Yuzhu Guo
Orcid: 0000-0002-8588-5172
According to our database1,
Yuzhu Guo
authored at least 33 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection.
IEEE Trans. Comput. Soc. Syst., April, 2024
A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis.
IEEE Trans. Medical Imaging, March, 2024
Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model.
Biomed. Signal Process. Control., February, 2024
2023
Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion.
IEEE Trans. Cogn. Dev. Syst., 2023
2022
Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction.
IEEE Trans. Cybern., 2022
Sensors, 2022
A Noninvasive BCI System for 2D Cursor Control Using a Spectral-Temporal Long Short-Term Memory Network.
Frontiers Comput. Neurosci., 2022
2021
An iPPG-Based Device for Pervasive Monitoring of Multi-Dimensional Cardiovascular Hemodynamics.
Sensors, 2021
2020
Machine Learning Aided Diagnosis of Diseases Without Clinical Gold Standard: A New Score for Laryngopharyngeal Reflux Disease Based on pH Monitoring.
IEEE Access, 2020
2019
A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs.
IEEE Trans. Biomed. Eng., 2019
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach.
Knowl. Based Syst., 2019
Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems.
Neurocomputing, 2019
2018
Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG.
IEEE Trans. Neural Networks Learn. Syst., 2018
Cryptanalysis of a chaotic image encryption scheme based on permutation-diffusion structure.
Signal Process. Image Commun., 2018
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis.
CoRR, 2018
Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG.
IEEE Access, 2018
2017
A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors.
Sensors, 2017
2016
Identification of continuous-time models for nonlinear dynamic systems from discrete data.
Int. J. Syst. Sci., 2016
Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems.
Neurocomputing, 2016
2015
Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion.
Syst. Control. Lett., 2015
Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm.
Int. J. Model. Identif. Control., 2015
2014
Int. J. Syst. Sci., 2014
Int. J. Bifurc. Chaos, 2014
2013
A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions.
Syst. Control. Lett., 2013
2012
Int. J. Bifurc. Chaos, 2012
2011
Spatio-Temporal Modeling of Wave Formation in an Excitable Chemical Medium Based on a Revised FitzHugh-Nagumo Model.
Int. J. Bifurc. Chaos, 2011
Identification of a temperature Dependent FitzHugh-Nagumo Model for the Belousov-Zhabotinskii reaction.
Int. J. Bifurc. Chaos, 2011
Int. J. Bifurc. Chaos, 2011
2010
Int. J. Bifurc. Chaos, 2010
2008
Identification of n-State Spatio-Temporal Dynamical Systems Using a Polynomial Model.
Int. J. Bifurc. Chaos, 2008