Zhiguo Zhang
Orcid: 0000-0001-7992-7965Affiliations:
- Shenzhen University, School of Biomedical Engineering, Health Science Center / Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, China
- Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China (2015 - 2016)
- Nanyang Technological University, School of Chemical and Biomedical Engineering, Singapore (2015)
- University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong
According to our database1,
Zhiguo Zhang
authored at least 124 papers
between 2004 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience.
NeuroImage, April, 2023
A robust intelligence regression model for monitoring Parkinson's disease based on speech signals.
Future Gener. Comput. Syst., 2023
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition.
CoRR, 2023
2022
M<sup>3</sup>CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge.
NeuroImage, 2022
A new perspective on individual reliability beyond group effect for event-related potentials: A multisensory investigation and computational modeling.
NeuroImage, 2022
Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer.
Medical Image Anal., 2022
QMVO-SCDL: A new regression model for fMRI pain decoding using quantum-behaved sparse dictionary learning.
Knowl. Based Syst., 2022
Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial-temporal regularizations.
Neurocomputing, 2022
Neurocomputing, 2022
Real-time epileptic seizure recognition using Bayesian genetic whale optimizer and adaptive machine learning.
Future Gener. Comput. Syst., 2022
2021
Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection.
IEEE Trans. Instrum. Meas., 2021
Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses.
NeuroImage, 2021
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis.
Medical Image Anal., 2021
Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI.
Neurocomputing, 2021
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition.
CoRR, 2021
AFCM-LSMA: New intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images.
Adv. Eng. Informatics, 2021
Neural dynamics of closed-loop alpha wave modulation via phase-locked visual feedback.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
Cross-Sessions and Cross-Paradigms Analysis for the Problem of Brain-Computer Interface Inefficiency<sup>*</sup>.
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021
Proceedings of the ICBSP 2021: 6th International Conference on Biomedical Imaging, Signal Processing, Xiamen, China, October 29, 2021
2020
ACM Trans. Multim. Comput. Commun. Appl., 2020
A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI.
IEEE Trans. Fuzzy Syst., 2020
Low-density surface electromyographic patterns under electrode shift: Characterization and NMF-based classification.
Biomed. Signal Process. Control., 2020
Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans.
Appl. Soft Comput., 2020
IEEE Access, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
The Real Time EEG Phase Locked Feedback Control for Alpha Amplitude and Frequency Regulation: An OpenBCI Implementation.
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Science, 2020
An Autoencoder-based Approach to Predict Subjective Pain Perception from High-density Evoked EEG Potentials.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Automatic Muscle Fiber Orientation Tracking in Ultrasound Images Using a New Adaptive Fading Bayesian Kalman Smoother.
IEEE Trans. Image Process., 2019
Identifying inter-individual differences in pain threshold using brain connectome: a test-retest reproducible study.
NeuroImage, 2019
A novel training-free externally-regulated neurofeedback (ER-NF) system using phase-guided visual stimulation for alpha modulation.
NeuroImage, 2019
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism.
NeuroImage, 2019
A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI.
Inf. Sci., 2019
Estimation of Task-Evoked Dynamic Effective Connectivity from fMRI in A Visual Target Detection Oddball Experiment.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Sliding Window Nonnegative Matrix Factorization (SW-NMF) for Robustness Low-Density Myoelectric Signals Decoding Against Electrodes Shift.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRI.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
E-Health Parkinson Disease Diagnosis in Smart Home Based on Hybrid Intelligence Optimization Model.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019
2018
Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia.
NeuroImage, 2018
A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction.
Neurocomputing, 2018
Divide-and-conquer muscle synergies: A new feature space decomposition approach for simultaneous multifunction myoelectric control.
Biomed. Signal Process. Control., 2018
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
Detection of movement-related cortical potentials associated with emergency and non-emergency tasks.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
A Partial least squares-based regression approach for analysis of frontotemporal dementia gene markers in human brain gene microarray data.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
2017
A least across-segment variance (LASV) method for the correction of EEG-fMRI desynchronization.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
2016
Decoding Subjective Intensity of Nociceptive Pain from Pre-stimulus and Post-stimulus Brain Activities.
Frontiers Comput. Neurosci., 2016
Normalization of Pain-Evoked Neural Responses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction.
Frontiers Comput. Neurosci., 2016
Identifying transient patterns of in vivo muscle behaviors during isometric contraction by local polynomial regression.
Biomed. Signal Process. Control., 2016
N1 Magnitude of Auditory Evoked Potentials and Spontaneous Functional Connectivity Between Bilateral Heschl's Gyrus Are Coupled at Interindividual Level.
Brain Connect., 2016
A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
A non-negative tensor factorization approach to feature extraction for image analysis.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016
A comparison of multimodal biomarkers for chronic hepatitis B assessment using recursive feature elimination.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Spontaneous EEG-based normalization of pain-evoked neural responses: Effect on improving the accuracy of pain prediction.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2016
2015
Efficient Implementation and Design of a New Single-Channel Electrooculography-Based Human-Machine Interface System.
IEEE Trans. Circuits Syst. II Express Briefs, 2015
Multiple linear regression to estimate time-frequency electrophysiological responses in single trials.
NeuroImage, 2015
Sparsest Error Detection via Sparsity Invariant Transformation based ℓ<sub>1</sub> Minimization.
CoRR, 2015
PCA-SIR: A new nonlinear supervised dimension reduction method with application to pain prediction from EEG.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
A user-friendly wearable single-channel EOG-based human-computer interface for cursor control.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
An automatic muscle fiber orientation tracking algorithm using Bayesian Kalman Filter for ultrasound images.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Supervised nonlinear dimension reduction of functional magnetic resonance imaging data using Sliced Inverse Regression.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Joint source separation of simultaneous EEG-fMRI recording in two experimental conditions using common spatial patterns.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Joint collaborative representation based sleep stage classification with multi-channel EEG signals.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
L0-regularized time-varying sparse inverse covariance estimation for tracking dynamic fMRI brain networks.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Adaptive Covariance Estimation of Non-Stationary Processes and its Application to Infer Dynamic Connectivity From fMRI.
IEEE Trans. Biomed. Circuits Syst., 2014
Single-trial time-frequency analysis of electrocortical signals: Baseline correction and beyond.
NeuroImage, 2014
The primary somatosensory cortex contributes to the latest part of the cortical response elicited by nociceptive somatosensory stimuli in humans.
NeuroImage, 2014
A multimodal investigation of in vivo muscle behavior: System design and data analysis.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
Topographical segmentation: A new tool to optimally define temporal region-of-interests of significant difference in ERPs.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
Feature selection and channel optimization for biometric identification based on visual evoked potentials.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
Prediction of pain perception using multivariate pattern analysis of laser-evoked EEG oscillations.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
A novel outlier detection method for identifying torque-related transient patterns of in vivo muscle behavior.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Recursive Parametric Frequency/Spectrum Estimation for Nonstationary Signals With Impulsive Components Using Variable Forgetting Factor.
IEEE Trans. Instrum. Meas., 2013
A New Variable Regularized QR Decomposition-Based Recursive Least M-Estimate Algorithm - Performance Analysis and Acoustic Applications.
IEEE Trans. Speech Audio Process., 2013
A New Variable Regularized Transform Domain NLMS Adaptive Filtering Algorithm - Acoustic Applications and Performance Analysis.
IEEE Trans. Speech Audio Process., 2013
A novel approach to predict subjective pain perception from single-trial laser-evoked potentials.
NeuroImage, 2013
Spatio-spectral filters for low-density surface electromyographic signal classification.
Medical Biol. Eng. Comput., 2013
Estimation of time-varying autocorrelation and its application to time-frequency analysis of nonstationary signals.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
Single-trial detection of visual evoked potentials by common spatial patterns and wavelet filtering for brain-computer interface.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Single-trial laser-evoked potentials feature extraction for prediction of pain perception.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Time-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRI.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Adaptive window selection in estimating dynamic functional connectivity of resting-state fMRI.
Proceedings of the 9th International Conference on Information, 2013
A new Kalman filter-based recursive method for measuring and tracking time-varying spectrum of nonstationary signals.
Proceedings of the 9th International Conference on Information, 2013
A new approach for single-trial detection of laser-evoked potentials and its application to pain prediction.
Proceedings of the 9th International Conference on Information, 2013
2012
The Design and Construction of a Movable Image-Based Rendering System and Its Application to Multiview Conferencing.
J. Signal Process. Syst., 2012
A New Regularized Adaptive Windowed Lomb Periodogram for Time-Frequency Analysis of Nonstationary Signals With Impulsive Components.
IEEE Trans. Instrum. Meas., 2012
IEEE Trans. Aerosp. Electron. Syst., 2012
A time-varying source connectivity approach to reveal human somatosensory information processing.
NeuroImage, 2012
A new regularized TVAR-based algorithm for recursive detection of nonstationarity and its application to speech signals.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012
A new recursive algorithm for time-varying autoregressive (TVAR) model estimation and its application to speech analysis.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
2011
On Kernel Selection of Multivariate Local Polynomial Modelling and its Application to Image Smoothing and Reconstruction.
J. Signal Process. Syst., 2011
Local Polynomial Modeling and Variable Bandwidth Selection for Time-Varying Linear Systems.
IEEE Trans. Instrum. Meas., 2011
A New Transform-Domain Regularized Recursive Least M-Estimate Algorithm for a Robust Linear Estimation.
IEEE Trans. Circuits Syst. II Express Briefs, 2011
Local Polynomial Modeling of Time-Varying Autoregressive Models With Application to Time-Frequency Analysis of Event-Related EEG.
IEEE Trans. Biomed. Eng., 2011
A Chromatic Transient Visual Evoked Potential Based Encoding/Decoding Approach for Brain-Computer Interface.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2011
Detection improvement for neonatal click evoked otoacoustic emissions by time-frequency filtering.
Comput. Biol. Medicine, 2011
A new switch-mode noise-constrained transform domain NLMS adaptive filtering algorithm.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011
2010
A New Robust Kalman Filter-Based Subspace Tracking Algorithm in an Impulsive Noise Environment.
IEEE Trans. Circuits Syst. II Express Briefs, 2010
Local polynomial modelling of time-varying autoregressive processes and its application to the analysis of event-related electroencephalogram.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
A subspace-based method for DOA estimation of uniform linear array in the presence of mutual coupling.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Modeling and identification of gene regulatory networks: A Granger causality approach.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010
2009
Robust Linear Estimation using M-Estimation and Weighted L1 Regularization: Model Selection and Recursive Implementation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
A New Two-stage Method for Restoration of Images Corrupted by Gaussian and Impulse Noises using Local Polynomial Regression and Edge Preserving Regularization.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
2008
On Bandwidth Selection in Local Polynomial Regression Analysis and Its Application to Multi-resolution Analysis of Non-uniform Data.
J. Signal Process. Syst., 2008
Robust Channel Estimation and Multiuser Detection for MC-CDMA Systems Under Narrowband Interference.
J. Signal Process. Syst., 2008
A Recursive Frequency Estimator Using Linear Prediction and a Kalman-Filter-Based Iterative Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs, 2008
Adaptive Beamforming and Recursive DOA Estimation Using Frequency-Invariant Uniform Concentric Spherical Arrays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
A novel method for nonstationary power spectral density estimation of cardiovascular pressure signals based on a Kalman filter with variable number of measurements.
Medical Biol. Eng. Comput., 2008
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008
2007
A New Minimum Variance Spectral Estimation Method for Analyzing Click-Evoked Otoacoustic Emissions.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
Minimum Variance Spectral Estimation-Based Time Frequency Analysis for Nonstationary Time-Series.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
2006
A new Kalman filter-based power spectral density estimation for nonstationary pressure signals.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
A new Kalman filter-based algorithm for adaptive coherence analysis of non-stationary multichannel time series.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
A new QR-decomposition based recursive frequency estimator for multiple sinusoids in impulsive noise environment.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
A new adaptive Kalman filter-based subspace tracking algorithm and its application to DOA estimation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
2005
Robust adaptive channel estimation of OFDM systems in time-varying narrowband interference.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
Robust adaptive Lomb periodogram for time-frequency analysis of signals with sinusoidal and transient components.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004
Multi-resolution analysis of non-uniform data with jump discontinuities and impulsive noise using robust local polynomial regression.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004