信息工程学院博∕硕士导师信息表

　　姓　　名:

　　陈昆

　　性　　别:

　　男

　　出生年月:

　　1985.10

　　职　　称:

　　副教授

　　学历学位:

　　研究生/博士

　　联系方式:

　 kunchen@whut.edu.cn

  招生方向:

　　研究方向:

　　脑机接口，信号处理，人工智能

主要学术经历:

2019-9至今, 武汉理工大学, 信息工程学院, 副教授

2016-11至2019-9, 武汉理工大学, 信息工程学院, 讲师

2018-7至2019-4, 英国卡迪夫大学, 博士后

2014-10至2016-10, 武汉理工大学, 博士后

2012-9至2013-9, 新西兰奥克兰大学，联合培养博士研究生

2010-9至2015-1, 武汉理工大学, 信息与通信工程, 博士

2008-9至2011-6, 武汉理工大学, 通信与信息系统, 硕士

2004-9至2008-6, 武汉理工大学, 电子信息工程, 学士

主要学术成果:

[1]Kun Chen, Wenhao Ruan, Quan Liu, Qingsong Ai, Li Ma*. A Novel Deep Learning Model Combining 3DCNN-CapsNet and Hierarchical Attention Mechanism for EEG Emotion Recognition. Neural Networks, 2025, 186(2025), 107267.

[2]Kun Chen, Shulong Chai, Mincheng Cai, Quan Liu, Qingsong Ai, Chiming Zhou, Li Ma*. A novel 3D feature fusion network for EEG emotion recognition. Biomedical Signal Processing and Control, 2025, 102, 107347.

[3]Qingsong Ai, Yuang Liu, Quan Liu, Li Ma, Kun Chen*. Holographic convolutional attention neural network for motor imagery decoding based on EEG temporal-spatial frequency features. Biomedical Signal Processing and Control, 2025, 104, 107526.

[4]Quan Liu, Ziling Huang, Kun Chen*, Jianmin Xiao. Efficient and Real-Time Compression Schemes of Multi-Dimensional Data from Ocean Buoys Using Golomb-Rice Coding. Mathematics, 2025，13(3)：366.

[5]Mengyuang Zhao, Qingsong Ai, Kun Chen, Wei Meng, Quan Liu, Sheng Quan Xie, Li Ma*. Enhancing RSVP Target Recognition Performance by Multifeatures Extracted from EEG Source Localization and Multigranular Information Neural Networks. IEEE Transactions on Instrumentation and Measurement, 2025, 74, 2504113.

[6]Kun Chen, Shulong Chai, Tianli Xie, Quan Liu, Li Ma*. EEG Spatial Inter-Channel Connectivity Analysis: A GCN-Based Dual Stream Approach to distinguish mental fatigue status. Artificial Intelligence in Medicine, 2024, 157, 102996.

[7]Qingsong Ai, Mengyuan Zhao, Kun Chen, Quan Liu, Daping He, Zhao Li, Li Ma*.Development and Application of Graphene Sensors in Human-Computer Interaction: A Review. IEEE Sensors Journal, 2024, 24(6), 7406-7419.

[8]Fazheng Hou, Wei Meng, Li Ma, Kun Chen, Qingsong Ai, Quan Liu,Sheng Quan Xie. MECAM: A Novel Multi-Axis EEG Channel Attention Model for Emotion Recognition. IEEE Transactions on Instrumentation and Measurement, 2024, 73, 4008613.

[9]Haojie Liu, Quan Liu, Mincheng Cai*, Kun Chen, Li Ma, Wei Meng, Zude Zhou, Qingsong Ai. Attention-based multi-semantic dynamical graph convolutional network for eeg-based fatigue detection. Frontiers in Neuroscience, 2023, 17, 1275065.

[10]Quan Liu, Mincheng Cai, Kun Chen, Qingsong Ai, Li Ma*. Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics, IEEE Transactions on Neural Networks and Learning Systems, 2023.

[11]Kun Chen, Huchuan Jing, Quan Liu, Qingsong Ai, Li Ma*.A Novel Caps-EEGNet Combined with Channel Selection for EEG-based Emotion Recognition. Biomedical Signal Processing and Control. 2023, 86, 105312.

[12]Kun Chen, Zhiyong Liu, Zhilei Li, Quan Liu, Qingsong Ai, Li Ma*. An improved multi-source domain adaptation network for inter-subject mental fatigue detection based on DANN. Biomedical Engineering/Biomedizinische Technik. 2023, 68(3), 317-327.

[13]Kun Chen, Zhiyong Liu, Quan Liu, Qingsong Ai, Li Ma*. EEG-based mental fatigue detection using linear prediction cepstral coefficients and Riemann spatial covariance matrix. Journal of Neural Engineering. 2022, 19(6), 066021.

[14]Kun Chen, Tianli Xie, Li Ma*, Andrew E. Hudson, Qingsong Ai, Quan Liu. A Two-Stream Graph Convolutional Network Based on Brain Connectivity for Anesthetized States Analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2022, 30, 2077-2087.

[15]Qingsong Ai, Mengyuan Zhao, Kun Chen, Xuefei Zhao, Li Ma*, Quan Liu. Flexible coding scheme for robotic arm control driven by motor imagery decoding. Journal of Neural Engineering. 2022, 19(5), 056008.

[16]Xuefei Zhao, Dong Liu, Li Ma*, Quan Liu, Kun Chen, Shane Xie, Qingsong Ai. Deep CNN model based on serial-parallel structure optimization for four-class motor imagery EEG Classification. Biomedical Signal Processing and Control. 2022, 72(2022), 103338.

[17]Quan Liu, Wenhao Zheng, Kun Chen*, Li Ma, Qingsong Ai. Online Detection of Class-Imbalanced Error-Related Potentials Evoked by Motor Imagery. Journal of Neural Engineering. 2021, 18(4), 046032.

[18]Quan Liu, Yang Liu, Kun Chen*, Lei Wang, Zhilei Li, Qingsong Ai, Li Ma. Research on Channel Selection and Multi-Feature Fusion of EEG Signals for Mental Fatigue Detection. Entropy. 2021, 23(4), 457.

主要项目:

1.科技部重点研发项目，基于离岸导助航设施的沿海航道通航环境长效实时监测技术研究

2.工业和信息化部“两机”专项子课题，耐高温光纤传感***

3.湖北省自然科学基金青年基金项目，基于运动意图解码和情绪反馈的智能脑机交互研究

4.湖北省自然科学基金联合基金项目，老年人运动平衡的下肢关节力矩调制机制研究