网络赌场开户平台-网络赌场技巧-大发888方官

基本情況

李俊華，特聘教授，暨南大學(xué)兼職博士生導(dǎo)師。主要從事腦機(jī)接口、深度學(xué)習(xí)、腦信號(hào)模式識(shí)別的研究工作。研究方向?yàn)殚_(kāi)發(fā)腦機(jī)接口系統(tǒng)與原型，研究深度學(xué)習(xí)算法模型，處理與識(shí)別腦信號(hào)（包括腦電信號(hào)，核磁共振信號(hào)，近紅外信號(hào)等），信號(hào)分析與解釋等。已發(fā)表學(xué)術(shù)論文90余篇，其中包括IEEE CYB, IEEE TNSRE, IEEE TBME, IEEE JBHI, Neuroimage等領(lǐng)域內(nèi)著名期刊論文。主持國(guó)家自然科學(xué)基金和省科學(xué)基金，擔(dān)任擔(dān)任學(xué)術(shù)期刊IEEE Transactions on Artificial Intelligence, IEEE Access 和 Brain-Computer Interfaces的編委，學(xué)術(shù)期刊Frontiers in Human Neuroscience的審稿編輯，以及數(shù)個(gè)期刊special issue的客座編委。IEEE高級(jí)會(huì)員，曾指導(dǎo)學(xué)生獲得NER’2017國(guó)際會(huì)議學(xué)生論文競(jìng)賽的Finalist獎(jiǎng)。

聯(lián)系方式

? 地址：廣東省江門(mén)市蓬江區(qū)東成村22號(hào) 五邑大學(xué) 電子與信息工程學(xué)院

? 郵編：529020

? 郵箱：[email protected]

主要研究方向

腦機(jī)接口，深度學(xué)習(xí)，人工智能，神經(jīng)信號(hào)分析與處理，神經(jīng)影像處理

科研項(xiàng)目

? 國(guó)家自然科學(xué)基金，功能性腦連接網(wǎng)絡(luò)研究及其在被動(dòng)腦機(jī)接口中的應(yīng)用，主持，2019.01-2021.12，結(jié)題。

? 省基金面上項(xiàng)目，基于腦網(wǎng)絡(luò)信息的腦機(jī)接口系統(tǒng)構(gòu)建，2019.01-2022.12, 結(jié)題。

發(fā)表學(xué)術(shù)論文（近三年）

? 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)

? 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

? 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

? 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

? 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 

? 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

? 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

? 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

? 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

? 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

? 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

? 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

? Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li, Multi-Kernel Capsule Network for Schizophrenia Identification, IEEE Transactions on Cybernetics, 52(6), 4741-4750, 2022

? 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

? 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

? 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

? 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

? 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