Zhongke Gao

Orcid: 0000-0002-9551-202X

According to our database1, Zhongke Gao authored at least 69 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Intention-prioritized fuzzy fusion control for BCI-based autonomous vehicles.
Biomed. Signal Process. Control., January, 2024

Shared control based on ANFIS for brain-controlled driving.
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

FET-FGVC: Feature-enhanced transformer for fine-grained visual classification.
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
WS-MTST: Weakly Supervised Multi-Label Brain Tumor Segmentation With Transformers.
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

Co-Attention-Based Cross-Stitch Network for Parameter Prediction of Two-Phase Flow.
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
Multiattention Adaptation Network for Motor Imagery Recognition.
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

A Multifeatured Time-Frequency Neural Network System for Classifying sEMG.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

MHLCNN: Multi-Harmonic Linkage CNN Model for SSVEP and SSMVEP Signal Classification.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Multilayer Network-Based CNN Model for Emotion Recognition.
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

Classification of EEG Signals on VEP-Based BCI Systems With Broad Learning.
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

Rhythm-Dependent Multilayer Brain Network for the Detection of Driving Fatigue.
IEEE J. Biomed. Health Informatics, 2021

COVID-19 Screening in Chest X-Ray Images Using Lung Region Priors.
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

A Channel-Fused Dense Convolutional Network for EEG-Based Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., 2021

Howling Detection and Suppression Based on Segmented Notch Filtering.
Sensors, 2021

IEEE Access Special Section Editorial: Big Data Learning and Discovery.
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

A Coincidence-Filtering-Based Approach for CNNs in EEG-Based Recognition.
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

Multiresolution Multiplex Network for Analyzing Multichannel Fluid Flow Signals.
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

Event-driven H∞ control with critic learning for nonlinear systems.
Neural Networks, 2020

A GPSO-optimized convolutional neural networks for EEG-based emotion recognition.
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

A Novel Deep Learning Framework for Industrial Multiphase Flow Characterization.
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

Shared control schematic for brain controlled vehicle based on fuzzy logic.
CoRR, 2019

Research on fuzzy PID Shared control method of small brain-controlled uav.
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
Identification of Flow Pattern in Two-Phase Flow Based on Complex Network Theory.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008


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