Gang Li

According to our database, Gang Li authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Depressive Disorder Recognition Based on Frontal EEG Signals and Deep Learning.

Yanting Xu, Hongyang Zhong, Shangyan Ying, Wei Liu, Guibin Chen, Xiaodong Luo, Gang Li

Sensors, October, 2023

Driving Fatigue Detection with Three Prefrontal EEG Channels and Deep Learning Model.

Xiangman Ding, Guibin Chen, Jie Wang, Yanting Xu, Jian Zhao, Wanxiu Xu, Gang Li

Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

2022

Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model.

Jie Wang, Yanting Xu, Jinghong Tian, Huayun Li, Weidong Jiao, Yu Sun, Gang Li

Entropy, December, 2022

Reorganization of Brain Functional Network during Task Switching before and after Mental Fatigue.

Hongyang Zhong, Jie Wang, Huayun Li, Jinghong Tian, Jiaqi Fang, Yanting Xu, Weidong Jiao, Gang Li

Sensors, 2022

Aberrated Multidimensional EEG Characteristics in Patients with Generalized Anxiety Disorder: A Machine-Learning Based Analysis Framework.

Zhongxia Shen, Gang Li, Jiaqi Fang, Hongyang Zhong, Jie Wang, Yu Sun, Xinhua Shen

Sensors, 2022

2021

Multi-Scale Sample Entropy-Based Energy Moment Features Applied to Fault Classification.

Weidong Jiao, Gang Li, Yonghua Jiang, Radouane Baim, Chao Tang, Tianyu Yan, Xiangman Ding, Yingying Yan

IEEE Access, 2021

2020

A Novel Rolling Bearing Defect Detection Method Based on Bispectrum Analysis and Cloud Model-Improved EEMD.

Yonghua Jiang, Chao Tang, Xiaodi Zhang, Weidong Jiao, Gang Li, Taotao Huang

IEEE Access, 2020

2018

A new method for automatically modelling brain functional networks.

Gang Li, Bo Li, Yonghua Jiang, Weidong Jiao, Hu Lan, Chungeng Zhu

Biomed. Signal Process. Control., 2018