A Four-Sector Conductance Method for Measuring and Characterizing Low-Velocity Oil-Water Two-Phase Flows. - Zhongke Gao; Yuxuan Yang 001; Lusheng Zhai; Ningde Jin; Guanrong Chen (IEEE Trans. Instrum. Meas., 2016)

Wavelet Multiresolution Complex Network for Analyzing Multivariate Nonlinear Time Series. - Zhongke Gao; Shan Li; Wei-Dong Dang; Yuxuan Yang 001; Younghae Do; Celso Grebogi (Int. J. Bifurc. Chaos, 2017)

Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG. - Zhongke Gao; Qing Cai; Yuxuan Yang 001; Na Dong; Shan-Shan Zhang (Int. J. Neural Syst., 2017)

An adaptive optimal-Kernel time-frequency representation-based complex network method for characterizing fatigued behavior using the SSVEP-based BCI system. - Zhongke Gao; Kaili Zhang; Wei-Dong Dang; Yuxuan Yang 001; Zibo Wang; Haibin Duan; Guanrong Chen (Knowl. Based Syst., 2018)

A Novel Multiplex Network-Based Sensor Information Fusion Model and Its Application to Industrial Multiphase Flow System. - Zhongke Gao; Wei-Dong Dang; Chaoxu Mu; Yuxuan Yang 001; Shan Li; Celso Grebogi (IEEE Trans. Ind. Informatics, 2018)

Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection. - Qing Cai; Zhongke Gao; Yuxuan Yang 001; Wei-Dong Dang; Celso Grebogi (Int. J. Neural Syst., 2019)

Relative Wavelet Entropy Complex Network for Improving EEG-Based Fatigue Driving Classification. - Zhongke Gao; Shan Li; Qing Cai; Wei-Dong Dang; Yuxuan Yang 001; Chaoxu Mu; Pan Hui 001 (IEEE Trans. Instrum. Meas., 2019)

EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation. - Zhongke Gao; Xinmin Wang; Yuxuan Yang 001; Chaoxu Mu; Qing Cai; Wei-Dong Dang; Siyang Zuo (IEEE Trans. Neural Networks Learn. Syst., 2019)

A Multivariate Weighted Ordinal Pattern Transition Network for Characterizing Driver Fatigue Behavior from EEG Signals. - Yuxuan Yang 001; Zhongke Gao (Int. J. Bifurc. Chaos, 2020)

A GPSO-optimized convolutional neural networks for EEG-based emotion recognition. - Zhongke Gao; Yanli Li; Yuxuan Yang 001; Xinmin Wang; Na Dong; Hsiao-Dong Chiang (Neurocomputing, 2020)

A Coincidence-Filtering-Based Approach for CNNs in EEG-Based Recognition. - Zhongke Gao; Yanli Li; Yuxuan Yang 001; Na Dong; Xiong Yang 001; Celso Grebogi (IEEE Trans. Ind. Informatics, 2020)

A Channel-Fused Dense Convolutional Network for EEG-Based Emotion Recognition. - Zhongke Gao; Xinmin Wang; Yuxuan Yang 001; Yanli Li; Kai Ma 002; Guanrong Chen (IEEE Trans. Cogn. Dev. Syst., 2021)

A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals. - Yuxuan Yang 001; Zhongke Gao; Yanli Li; Qing Cai; Norbert Marwan; Jürgen Kurths (IEEE Trans. Syst. Man Cybern. Syst., 2021)