Zhongke Gao
Orcid: 0000-0002-9551-202X
According to our database1,
Zhongke Gao
authored at least 69 papers
between 2008 and 2024.
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Bibliography
2024
EEG-Based Motor Imagery Recognition Framework via Multisubject Dynamic Transfer and Iterative Self-Training.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Flashlight-Net: A Modular Convolutional Neural Network for Motor Imagery EEG Classification.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024
Dynamic Threshold Distribution Domain Adaptation Network: A Cross-Subject Fatigue Recognition Method Based on EEG Signals.
IEEE Trans. Cogn. Dev. Syst., February, 2024
Biomed. Signal Process. Control., January, 2024
Trans. Inst. Meas. Control, 2024
Joint Recurrence Network-Based Dynamic Parameter Measurement of Gas-Liquid Two-Phase Flow.
IEEE Trans. Instrum. Meas., 2024
Multilayer Visibility Graph-Based Ordinal Network for Revealing Gas-Liquid Nonlinear Dynamic Flow Behaviors.
IEEE Trans. Instrum. Meas., 2024
Pattern Recognit., 2024
A novel multiphase flow water cut modeling framework based on flow behavior-heuristic deep learning.
Eng. Appl. Artif. Intell., 2024
Masked autoencoders with handcrafted feature predictions: Transformer for weakly supervised esophageal cancer classification.
Comput. Methods Programs Biomed., 2024
Efficient nuclei semantic segmentation in histopathology images: A weakly supervised approach with color and sure-foreground extraction.
Biomed. Signal Process. Control., 2024
2023
IEEE J. Biomed. Health Informatics, December, 2023
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
Medical Image Anal., October, 2023
EEG-Based Multi-Frequency Multilayer Network for Exploring the Brain State Evolution Underlying Motor Imagery.
IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2023
Neural network model based on global and local features for multi-view mammogram classification.
Neurocomputing, June, 2023
Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators.
Neural Networks, January, 2023
IEEE Trans. Instrum. Meas., 2023
A Weakly Supervised Method With Colorization for Nuclei Segmentation Using Point Annotations.
IEEE Trans. Instrum. Meas., 2023
A Multiscale Feature Extraction Network Based on Channel-Spatial Attention for Electromyographic Signal Classification.
IEEE Trans. Cogn. Dev. Syst., 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Novel Complex Network-Based Graph Convolutional Network in Major Depressive Disorder Detection.
IEEE Trans. Instrum. Meas., 2022
Decentralized Neurocontroller Design With Critic Learning for Nonlinear-Interconnected Systems.
IEEE Trans. Cybern., 2022
IEEE Trans. Circuits Syst. II Express Briefs, 2022
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Int. J. Bifurc. Chaos, 2022
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images.
CoRR, 2022
2021
A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals.
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Attention-Based Parallel Multiscale Convolutional Neural Network for Visual Evoked Potentials EEG Classification.
IEEE J. Biomed. Health Informatics, 2021
IEEE J. Biomed. Health Informatics, 2021
IEEE J. Biomed. Health Informatics, 2021
A Deep Branch-Aggregation Network for Recognition of Gas-Liquid Two-Phase Flow Structure.
IEEE Trans. Instrum. Meas., 2021
Core-Brain-Network-Based Multilayer Convolutional Neural Network for Emotion Recognition.
IEEE Trans. Instrum. Meas., 2021
Multitask-Based Temporal-Channelwise CNN for Parameter Prediction of Two-Phase Flows.
IEEE Trans. Ind. Informatics, 2021
Characterization of Two-Phase Flow Structure by Deep Learning-Based Super Resolution.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Complex Network Analysis of Experimental EEG Signals for Decoding Brain Cognitive State.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
A Graph-Temporal Fused Dual-Input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
IEEE Trans. Cogn. Dev. Syst., 2021
IEEE Access, 2021
2020
ADP-Based Robust Tracking Control for a Class of Nonlinear Systems With Unmatched Uncertainties.
IEEE Trans. Syst. Man Cybern. Syst., 2020
IEEE Trans. Ind. Informatics, 2020
A Deep Learning Method for Improving the Classification Accuracy of SSMVEP-Based BCI.
IEEE Trans. Circuits Syst., 2020
Complex Network Analysis of Wire-Mesh Sensor Measurements for Characterizing Vertical Gas-Liquid Two-Phase Flows.
IEEE Trans. Circuits Syst. II Express Briefs, 2020
IEEE Trans. Circuits Syst. II Express Briefs, 2020
Approximately Optimal Control of Discrete-Time Nonlinear Switched Systems Using Globalized Dual Heuristic Programming.
Neural Process. Lett., 2020
Neural Networks, 2020
Neurocomputing, 2020
A Multivariate Weighted Ordinal Pattern Transition Network for Characterizing Driver Fatigue Behavior from EEG Signals.
Int. J. Bifurc. Chaos, 2020
Multilayer Network from Multiple Entropies for Characterizing Gas-Liquid Nonlinear Flow Behavior.
Int. J. Bifurc. Chaos, 2020
2019
EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation.
IEEE Trans. Neural Networks Learn. Syst., 2019
Relative Wavelet Entropy Complex Network for Improving EEG-Based Fatigue Driving Classification.
IEEE Trans. Instrum. Meas., 2019
IEEE Trans. Ind. Informatics, 2019
Q-learning solution for optimal consensus control of discrete-time multiagent systems using reinforcement learning.
J. Frankl. Inst., 2019
Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection.
Int. J. Neural Syst., 2019
CoRR, 2019
CoRR, 2019
An ADDHP-based Q-learning algorithm for optimal tracking control of linear discrete-time systems with unknown dynamics.
Appl. Soft Comput., 2019
A WPCA-Based Method for Detecting Fatigue Driving From EEG-Based Internet of Vehicles System.
IEEE Access, 2019
2018
A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System.
IEEE Trans. Ind. Informatics, 2018
An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system.
Knowl. Based Syst., 2018
A Wavelet Time-Frequency Representation Based Complex Network Method for Characterizing Brain Activities Underlying Motor Imagery Signals.
IEEE Access, 2018
2017
Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG.
Int. J. Neural Syst., 2017
Multilayer Network from Multivariate Time Series for Characterizing Nonlinear Flow Behavior.
Int. J. Bifurc. Chaos, 2017
Wavelet Multiresolution Complex Network for Analyzing Multivariate Nonlinear Time Series.
Int. J. Bifurc. Chaos, 2017
Visibility graph analysis for re-sampled time series from auto-regressive stochastic processes.
Commun. Nonlinear Sci. Numer. Simul., 2017
2016
A Four-Sector Conductance Method for Measuring and Characterizing Low-Velocity Oil-Water Two-Phase Flows.
IEEE Trans. Instrum. Meas., 2016
2009
Community Structure Detection in Complex Networks with Applications to Gas-Liquid Two-Phase Flow.
Proceedings of the Complex Sciences, 2009
2008
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008