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Selected Journal Publications

  1. Wang, Zehui, Chuangquan Chen, Junhua Li, Feng Wan, Yu Sun, and 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

  2. Xu, Tao, 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, 2023

  3. Peng, Yong, 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

  4. 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

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

  6. 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

  7. Hongtao Wang#*, Zian Pei#, Linfeng Xu, Tao Xu, Anastasios Bezerianos, Yu Sun*, Junhua Li*, Performance Enhancement of P300 Detection by Multi-Scale-CNN, IEEE Transactions on Instrumentation and Measurement, 2021

  8. Zian Pei, Hongtao Wang, Anastasios Bezerianos, Junhua Li*, EEG-Based Multi-Class Workload Identification Using Feature Fusion and Selection, IEEE Transactions on Instrumentation and Measurement, 70, 1-8, 2021

  9. Junhua Li*, Thoughts on Neurophysiological Signal Analysis and Classification, Brain Science Advances, 6(3), 210-223, 2020

  10. Li Zhu, Chongwei Su, Jianhai Zhang, Gaochao Cui, Andrzej Cichocki, Changle Zhou, Junhua Li*, EEG-Based Approach for Recognizing Human Social Emotion Perception, Advanced Engineering Informatics, 46, 101191, 2020

  11. Hongtao Wang, Xucheng Liu, Junhua Li, Tao Xu, Anastasios Bezerianos, Yu Sun, Feng Wan, Driving Fatigue Recognition with Functional Connectivity Based on Phase Synchronization, IEEE Transactions on Cognitive and Developmental Systems, 13(3), 668-678, 2020

  12. Junhua Li*, Nitish Thakor, Anastasios Bezerianos, Brain Functional Connectivity in Unconstrained Walking with and without An Exoskeleton, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(3), 730-739, 2020

  13. Rohit Bose, Hongtao Wang, Andrei Dragomir, Nitish Thakor, Anastasios Bezerianos, Junhua Li*, Regression Based Continuous Driving Fatigue Estimation: Towards Practical Implementation, IEEE Transactions on Cognitive and Developmental Systems, 12(2), 323-331, 2019

  14. Rohit Bose, Sim Kuan Goh, Kian F. Wong, Nitish Thakor, Anastasios Bezerianos, Junhua Li*, Classification of Brain Signal (EEG) Induced by Shape-analogous Letter Perception, Advanced Engineering Informatics, 42, 100992, 2019

  15. Junhua Li*, Rafael Romero-Garcia, John Sucking, Lei Feng*, Habitual Tea Drinking Modulates Brain Efficiency: Evidence from Brain Connectivity Evaluation, Aging, 11(11), 3876-3890, 2019

  16. Jonathan Harvy, Nitish Thakor, Anastasios Bezerianos, Junhua Li*, Between-Frequency Topographical and Dynamic High-Order Functional Connectivity for Driving Drowsiness Assessment, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(3), 358-367, 2019

  17. Junhua Li*, Yu Sun*, Yi Huang, Anastasios Bezerianos, Rongjun Yu*, Machine Learning Technique Reveals Intrinsic Characteristics of Schizophrenia: An Alternative Method, Brain Imaging and Behavior, 13(5), 1386-1396, 2019

  18. Sim Kuan Goh, Hussein A. Abbass, Kay Chen Tan, Abdullah Al-Mamun, Nitish Thakor, Anastasios Bezerianos, Junhua Li*, Spatio-spectral Representation Learning for Electroencephalographic Gait-pattern Classification, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(9), 1858-1867, 2018

  19. Junhua Li*, Chao Li, Andrzej Cichocki, Canonical Polyadic Decomposition with Auxiliary Information for Brain-Computer Interface, IEEE Journal of Biomedical and Health Informatics, 21(1), 263-271, 2017

  20. Yu Sun#, Julian Lim#, Zhongxiang Dai, KianFoong Wong, Fumihiko Taya, Yu Chen, Junhua Li, Nitish Thakor, Anastasios Bezerianos, The Effects of A Mid-task Break on the Brain Connectome in Healthy Participants: A Resting-state Functional MRI Study, NeuroImage, 152, 19-30, 2017

  21. Yu Sun, Zhongxiang Dai, Junhua Li, Simon L. Collinson, and Kang Sim. Modular‐level Alterations of Structure–Function Coupling in Schizophrenia Connectome. Human Brain Mapping, 38, 2008-2025, 2017

  22. Junhua Li, Yijun Wang, Liqing Zhang, Andrzej Cichocki, Tzyy-Ping Jung, Decoding EEG in Cognitive Tasks with Time-frequency and Connectivity Masks, IEEE Transactions on Cognitive and Developmental Systems, 8(4), 298-308, 2016

  23. Junhua Li, Zbigniew Struzik, Liqing Zhang, Andrzej Cichocki, Feature Learning from Incomplete EEG with Denoising Autoencoder, Neurocomputing, 165, 23-31, 2015

  24. Junhua Li, Jingyi Liang, Qibin Zhao, Kan Hong, Jie Li, Liqing Zhang. Design of Wheelchair Assistive System Directly Steered by Human Thoughts, International Journal of Neural Systems, 23(3), 1350013, 2013

  25. Junhua Li, Liqing Zhang. Active training paradigm for motor imagery BCI. Experimental Brain Research, 219(2), 245-254, 2012

Junhua Li, Liqing Zhang. Bilateral adaptation and neurofeedback for brain computer interface system. Journal of Neuroscience Methods, 193(2), 373-379, 2010

Selected Conference Publications

  1. Yu, Yinhu, Junhua Li*, Feature Fusion-Based Capsule Network for Cross-Subject Mental Workload Classification, The 15th International Conference on Brain Informatics (BI’22), Padova, Italy, 15-17 July, 164-174, 2022

  2. Wang, Zilu, Jichun Li, Ian Daly, Junhua Li*, Machine Learning for Multi-Action Classification of Lower Limbs for BCI, 2022 International Conference on Computing, Electronics & Communications Engineering (ICCECE’22), Southend-on-Sea, UK, 17-18 August, 84-89, 2022

  3. Jonathan Harvy, Joshua B. Ewen, Nitish Thakor, Anastasios Bezerianos, Junhua Li*, Cortical Functional Connectivity during Praxis in Autism Spectrum Disorder, the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’2019), Berlin, Germany, July 23-27, 333-336, 2019

  4. Rohit Bose, Sim Kuan Goh, Kian F Wong, Nitish Thakor, Anastasios Bezerianos and Junhua Li*, Classifying Brain Activities in Perception of Shape-analogous English Letters Based on EEG Signal, International Conference on Cyberworlds, Singapore, October 3-5, 184-190, 2018

  5. Li Zhu, Fabien Lotte, Gaochao Cui, Junhua Li*, Changle Zhou* and Andrezj Cichocki, Neural Mechanisms of Social Emotion Perception: An EEG Hyper-scanning study, International Conference on Cyberworlds, Singapore, October 3-5, 199-206, 2018

  6. Jiancong He, Guoxu Zhou, Hongtao Wang, Evangelos Sigalas, Nitish Thakor, Anastasios Bezerianos, Junhua Li*, Boosting Transfer Learning Improves Performance of Driving Drowsiness Classification Using EEG, the 8th International Workshop on Pattern Recognition in Neuroimaging (PRNI’2018), Singapore, June 12-14, 2018

  7. Junhua Li*, Chao Li, Nitish Thakor, Andrzej Cichocki, Anastasios Bezerianos, A New Perspective of Noise Removal from EEG, the 8th International IEEE EMBS Neural Engineering Conference (NER’2017), Shanghai, China, May 25-28, 501-504, 2017

  8. Jingwen Chai, Gong Chen, Pavithra Thangavel, Georgios N. Dimitrakopoulos, Ioannis Kakkos, Yu Sun, Zhongxiang Dai, Haoyong Yu, Nitish Thakor, Anastasios Bezerianos, Junhua Li*, Indentification of Gait-related Brain Activity Using Electroencephalographic Signals, the 8th International IEEE EMBS Neural Engineering Conference (NER’2017), Shanghai, China, May 25-28, 548-551, 2017 

  9. Junhua Li, Ye Liu, Zhen Lu, Liqing Zhang. A Competitive Brain Computer Interface: Multi-person Car Racing System, the 35th Annual International Conference of the IEEE EMBS, (EMBC’2013), Osaka, Japan, 3-7 July, 2200-2203, 2013

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