Bingtao Zhang

According to our database, Bingtao Zhang authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RLCA: Reinforcement Learning Model Integrating Cognition and Affection for Empathetic Response Generation.

Yun Su, Haoran Bian, Bozhen Fan, Bingxu Lian, Chengrong Zhang, Bingtao Zhang, Runhe Huang

IEEE Trans. Comput. Soc. Syst., February, 2024

Functional brain network based on improved ensemble empirical mode decomposition of EEG for anxiety analysis and detection.

Bingtao Zhang, Chonghui Wang, Guanghui Yan, Yun Su, Tao Lei, Hanshu Cai

Biomed. Signal Process. Control., 2024

2023

A Novel Simplified Finite Control Set Repeat Model Predictive Control for Grid-Connected Inverters.

Bingtao Zhang, Weimin Wu, Yong Yang, Ning Gao, Jianming Chen, Eftichios Koutroulis, Henry Shu-Hung Chung, Marco Liserre, Frede Blaabjerg

IEEE Trans. Ind. Electron., November, 2023

2022

Driving EEG based multilayer dynamic brain network analysis for steering process.

Wenwen Chang, Weiliang Meng, Guanghui Yan, Bingtao Zhang, Hao Luo, Rui Gao, Zhifei Yang

Expert Syst. Appl., November, 2022

Computer-Aided Recognition Based on Decision-Level Multimodal Fusion for Depression.

Bingtao Zhang, Hanshu Cai, Yubo Song, Tao Lei, Yanlin Li

IEEE J. Biomed. Health Informatics, 2022

Medical image segmentation using deep learning: A survey.

Risheng Wang, Tao Lei, Ruixia Cui, Bingtao Zhang, Hongying Meng, Asoke K. Nandi

IET Image Process., 2022

Feature-level fusion based on spatial-temporal of pervasive EEG for depression recognition.

Bingtao Zhang, Dan Wei, Guanghui Yan, Tao Lei, Haishu Cai, Zhifei Yang

Comput. Methods Programs Biomed., 2022

An Improved DBC-MPC Strategy for LCL-Filtered Grid-connected Inverters.

Bingtao Zhang, Weimin Wu, Ning Gao, Eftichis Koutroulis, Jianmin Chen, Gang Lu, Henry Shu-Hung Chung, Frede Blaabjerg

Proceedings of the IECON 2022, 2022

2021

Energy Efficiency Analysis of Wireless Sensor Networks in Precision Agriculture Economy.

Bingtao Zhang, Lingyan Meng

Sci. Program., 2021

2020

Ontology-Based Decision Support Tool for Automatic Sleep Staging Using Dual-Channel EEG Data.

Bingtao Zhang, Zhifei Yang, Hanshu Cai, Jing Lian, Wenwen Chang, Zhonglin Zhang

Symmetry, 2020

Ubiquitous Depression Detection of Sleep Physiological Data by Using Combination Learning and Functional Networks.

Bingtao Zhang, Wenying Zhou, Hanshu Cai, Yun Su, Jinfeng Wang, Zhonglin Zhang, Tao Lei

IEEE Access, 2020

2019

Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm.

Bingtao Zhang, Xiaopeng Wang, Yu Shen, Tao Lei

Int. J. Autom. Comput., 2019

2018

EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature Analysis.

Bingtao Zhang, Tao Lei, Hong Liu, Hanshu Cai

Comput. Math. Methods Medicine, 2018