基本情况
李俊华，特聘教授，暨南大学兼职博士生导师。主要从事脑机接口、深度学习、脑信号模式识别的研究工作。研究方向为开发脑机接口系统与原型，研究深度学习算法模型，处理与识别脑信号（包括脑电信号，核磁共振信号，近红外信号等），信号分析与解释等。已发表学术论文90余篇，其中包括IEEE CYB, IEEE TNSRE, IEEE TBME, IEEE JBHI, Neuroimage等领域内著名期刊论文。主持国家自然科学基金和省科学基金，担任担任学术期刊IEEE Transactions on Artificial Intelligence, IEEE Access 和 Brain-Computer Interfaces的编委，学术期刊Frontiers in Human Neuroscience的审稿编辑，以及数个期刊special issue的客座编委。IEEE高级会员，曾指导学生获得NER’2017国际会议学生论文竞赛的Finalist奖。
联系方式
Ø 地址：广东省江门市蓬江区东成村22号 五邑大学 电子与信息工程学院
Ø 邮编：529020
Ø 邮箱：junhua.zj@gmail.com
主要研究方向
脑机接口，深度学习，人工智能，神经信号分析与处理，神经影像处理
科研项目
Ø 国家自然科学基金，功能性脑连接网络研究及其在被动脑机接口中的应用，主持，2019.01-2021.12，结题。
Ø 省基金面上项目，基于脑网络信息的脑机接口系统构建，2019.01-2022.12, 结题。
发表学术论文（近三年）
Ø Zequan Lian, Tao Xu, Yuan Zhen, Junhua Li, Nitish Thakor, Hongtao Wang, Driving Fatigue Detection Based on Hybrid Electroencephalography and Eye Tracking, IEEE Journal of Biomedical and Health Informatics, 2024 (Published Online)
Ø Hongtao Wang, Zehui Wang, Yu Sun, Zhe Yuan, Tao Xu, Junhua Li, A Cascade xDAWN EEGNet Structure for Unified Visual-Evoked Related Potential Detection, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 2270-2280, 2024
Ø Yu Li, Tao Xu, Junhua Li, Feng Wan, Hongtao Wang, Improved Dilation CapsuleNet for Motor Imagery and Mental Arithmetic Classification Based on fNIRS, Brain-Apparatus Communication: A Journal of Bacomics, 3(1), 2335886, 2024
Ø Yinhu Yu, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li, Latent Space Coding Capsule Network for Mental Workload Classification, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 3417-3427, 2023
Ø Li Zhu, Youyang Liu, Riheng Liu, Yong Peng, Jianting Cao, Junhua Li, Wanzeng Kong, Decoding Multi-Brain Motor Imagery from EEG Using Coupling Feature Extraction and Few-Shot Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4683-4692, 2023
Ø Zehui Wang, Chuangquan Chen, Junhua Li, Feng Wan, Yu Sun, Hongtao Wang, ST-CapsNet: Linking Spatial and Temporal Attention with Capsule Network for P300 Detection Improvement, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 991-1000, 2023
Ø Tao Xu, Jiajia Huang, Zian Pei, Jiaqing Chen, Junhua Li, Anastasios Bezerianos, Nitish Thakor, and Hongtao Wang, The Effect of Multiple Factors on Working Memory Capacities: Aging, Task difficulty, and Training, IEEE Transactions on Biomedical Engineering, 70(6), 1967-1978, 2023
Ø Fengzhe Jin, Yong Peng, Feiwei Qin, Junhua Li, Wanzeng Kong, Graph Adaptive Semi-Supervised Discriminative Subspace Learning for EEG Emotion Recognition, Journal of King Saud University-Computer and Information Sciences, 35(8),101648, 2023
Ø Yikai Zhang, Yong Peng, Junhua Li, Wanzeng Kong, SIFIAE: An Adaptive Emotion Recognition Model with EEG Feature-Label Inconsistency Consideration, Journal of Neuroscience Methods, 395, 109909, 2023
Ø Tao Xu, Zhengkang Zhou, Yuliang Yang, Yu Li, Junhua Li, Anastasios Bezerianos, Hongtao Wang, Motor Imagery Decoding Enhancement Based on Hybrid EEG-fNIRS Signals, IEEE Access, 11, 65277-65288, 2023
Ø Yong Peng, Honggang Liu, Junhua Li, Jun Huang, Bao-Liang Lu, and Wanzeng Kong, Cross-session Emotion Recognition by Joint Label-common and Label-specific EEG Features Exploration, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 759-768, 2022
Ø Jonathan Harvy, Anastasios Bezerianos, Junhua Li, Reliability of EEG Measures in Driving Fatigue, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2743-2753, 2022
Ø Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li, Multi-Kernel Capsule Network for Schizophrenia Identification, IEEE Transactions on Cybernetics, 52(6), 4741-4750, 2022
Ø Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li, Deep Learning in EEG: Advanced in the Ten-Year Critical Period, IEEE Transactions on Cognitive and Developmental Systems, 14(2), 348-365, 2022
Ø Tao Xu, Linfeng Xu, Hongfei Zhang, Zhouyu Ji, Junhua Li, Anastasios Bezerianos, Hongtao Wang, Effects of Rest-Break on Mental Fatigue Recovery Based on EEG Dynamic Functional Connectivity, Biomedical Signal Processing and Control, 77, 103806, 2022
Ø Li Zhu, Gaochao Cui, Yan Li, Jianhai Zhang, Wanzeng Kong Andrzej Cichocki, Junhua Li, Attention Allocation on Mobile App Interfaces When Human Interacts with Them, Cognitive Neurodynamics, 16(4), 859-870, 2022
Ø Yizhi Lv, Jianing Xue, Feng Duan, Zhe Sun, Junhua Li, An Exploratory Study of Transfer Learning Frameworks in the Context of Few Available Shots of Neurophysiological Signals, Computers and Electrical Engineering, 101, 108091, 2022
Ø Duan, Feng, Yizhi Lv, Zhe Sun, Junhua Li, Multi-Scale Learning for Multimodal Neurophysiological Signals: Gait Pattern Classification as An Example, Neural Processing Letters, 54(3), 2455-2470, 2022
