Items where Author is "Li, Junhua"

Article

Zhu, Li and Liu, Youyang and Liu, Riheng and Peng, Yong and Cao, Jianting and Li, Junhua and Kong, Wanzeng (2023) Decoding Multi-Brain Motor Imagery From EEG Using Coupling Feature Extraction and Few-Shot Learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31. pp. 4683-4692. DOI https://doi.org/10.1109/tnsre.2023.3336356

Jin, Fengzhe and Peng, Yong and Qin, Feiwei and Li, Junhua and Kong, Wanzeng (2023) Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition. Journal of King Saud University - Computer and Information Sciences, 35 (8). p. 101648. DOI https://doi.org/10.1016/j.jksuci.2023.101648

Yu, Yinhu and Bezerianos, Anastasios and Cichocki, Andrzej and Li, Junhua (2023) Latent Space Coding Capsule Network for Mental Workload Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31. pp. 3417-3427. DOI https://doi.org/10.1109/TNSRE.2023.3307481

Zhang, Yikai and Peng, Yong and Li, Junhua and Kong, Wanzeng (2023) SIFIAE: An adaptive emotion recognition model with EEG feature-label inconsistency consideration. Journal of Neuroscience Methods, 395. p. 109909. DOI https://doi.org/10.1016/j.jneumeth.2023.109909

Xu, Tao and Zhou, Zhengkang and Yang, Yuliang and Li, Yu and Li, Junhua and Bezerianos, Anastasios and Wang, Hongtao (2023) Motor Imagery Decoding Enhancement Based on Hybrid EEG-fNIRS Signals. IEEE Access, 11. pp. 65277-65288. DOI https://doi.org/10.1109/access.2023.3289709

Peng, Yong and Liu, Honggang and Li, Junhua and Huang, Jun and Lu, Bao-Liang and Kong, Wanzeng (2023) Cross-session Emotion Recognition by Joint Label-common and Label-specific EEG Features Exploration. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31. pp. 759-768. DOI https://doi.org/10.1109/tnsre.2022.3233109

Wang, Zehui and Chen, Chuangquan and Li, Junhua and Wan, Feng and Sun, Yu and Wang, Hongtao (2023) ST-CapsNet: Linking Spatial and Temporal Attention with Capsule Network for P300 Detection Improvement. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31. pp. 991-1000. DOI https://doi.org/10.1109/tnsre.2023.3237319

Xu, Tao and Huang, Jiajia and Pei, Zian and Chen, Jiaqing and Li, Junhua and Bezerianos, Anastasios and Thakor, Nitish and Wang, Hongtao (2022) The Effect of Multiple Factors on Working Memory Capacities: Aging, Task difficulty, and Training. IEEE Transactions on Biomedical Engineering, 70 (6). pp. 1967-1978. DOI https://doi.org/10.1109/tbme.2022.3232849

Harvy, Jonathan and Bezerianos, Anastasios and Li, Junhua (2022) Reliability of EEG Measures in Driving Fatigue. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30. pp. 2743-2753. DOI https://doi.org/10.1109/TNSRE.2022.3208374

Zhu, Li and Cui, Gaochao and Li, Yan and Zhang, Jianhai and Kong, Wanzeng and Cichocki, Andrzej and Li, Junhua (2022) Attention allocation on mobile app interfaces when human interacts with them. Cognitive Neurodynamics, 16 (4). pp. 859-870. DOI https://doi.org/10.1007/s11571-021-09760-4

Duan, Feng and Lv, Yizhi and Sun, Zhe and Li, Junhua (2022) Multi-Scale Learning for Multimodal Neurophysiological Signals: Gait Pattern Classification as An Example. Neural Processing Letters, 54 (3). pp. 2455-2470. DOI https://doi.org/10.1007/s11063-021-10738-w

Gong, Shu and Xing, Kaibo and Cichocki, Andrzej and Li, Junhua (2022) Deep Learning in EEG: Advance of the Last Ten-Year Critical Period. IEEE Transactions on Cognitive and Developmental Systems, 14 (2). pp. 348-365. DOI https://doi.org/10.1109/tcds.2021.3079712

Wang, Tian and Bezerianos, Anastasios and Cichocki, Andrzej and Li, Junhua (2022) Multi-Kernel Capsule Network for Schizophrenia Identification. IEEE Transactions on Cybernetics, 52 (6). pp. 4741-4750. DOI https://doi.org/10.1109/TCYB.2020.3035282

Wei, Chun-Shu and Keller, Corey J and Li, Junhua and Lin, Yuan-Pin and Nakanishi, Masaki and Wagner, Johanna and Wu, Wei and Zhang, Yu and Jung, Tzyy-Ping (2021) Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding. Frontiers in Computational Neuroscience, 15. 791129-. DOI https://doi.org/10.3389/fncom.2021.791129

Wang, Hongtao and Liu, Xucheng and Li, Junhua and Xu, Tao and Bezerianos, Anastasios and Sun, Yu and Wan, Feng (2021) Driving Fatigue Recognition with Functional Connectivity Based on Phase Synchronization. IEEE Transactions on Cognitive and Developmental Systems, 13 (3). pp. 668-678. DOI https://doi.org/10.1109/tcds.2020.2985539

Li, Junhua (2021) Editorial: Recent Developments of Deep Learning in Analyzing, Decoding, and Understanding Neuroimaging Signals. Frontiers in Neuroscience, 15. 652073-. DOI https://doi.org/10.3389/fnins.2021.652073

Wang, Hongtao and Pei, Zian and Xu, Linfeng and Xu, Tao and Bezerianos, Anastasios and Sun, Yu and Li, Junhua (2021) Performance Enhancement of P300 Detection by Multi-Scale-CNN. IEEE Transactions on Instrumentation and Measurement, 70. pp. 1-12. DOI https://doi.org/10.1109/tim.2021.3067943

Li, Junhua (2021) Thoughts on Neurophysiological Signal Analysis and Classification. Brain Science Advances, 6 (3). pp. 210-223. DOI https://doi.org/10.26599/BSA.2020.9050020

Pei, Zian and Wang, Hongtao and Bezerianos, Anastasios and Li, Junhua (2021) EEG-Based Multi-Class Workload Identification Using Feature Fusion and Selection. IEEE Transactions on Instrumentation and Measurement, 70. pp. 1-8. DOI https://doi.org/10.1109/tim.2020.3019849

Feng, Lei and Romero-Garcia, Rafael and Suckling, John and Tan, Jasmine and Larbi, Anis and Cheah, Irwin and Wong, Glenn and Tsakok, Maurine and Lanskey, Bernard and Lim, Darius and Li, Jialiang and Yang, Joanna and Goh, Benjamin and Teck, Tristan Gwee Chen and Ho, Allan and Wang, Xiu and Yu, Jin-Tai and Zhang, Can and Tan, Crystal and Chua, Michelle and Li, Junhua and Totman, John J and Wong, Caroline and Loh, Marie and Foo, Roger and Tan, Chay Hoon and Goh, Lee Gan and Mahendran, Rathi and Kennedy, Brian K and Kua, Ee-Heok (2020) Effects of choral singing versus health education on cognitive decline and aging: a randomized controlled trial. Aging, 12 (24). pp. 24798-24816. DOI https://doi.org/10.18632/aging.202374

Zhu, Li and Su, Chongwei and Zhang, Jianhai and Cui, Gaochao and Cichocki, Andrzej and Zhou, Changle and Li, Junhua (2020) EEG-based approach for recognizing human social emotion perception. Advanced Engineering Informatics, 46. p. 101191. DOI https://doi.org/10.1016/j.aei.2020.101191

Wang, Hongtao and Xu, Tao and Tang, Cong and Yue, Hongwei and Chen, Chuangquan and Xu, Linfeng and Pei, Zian and Dong, Jiajun and Bezerianos, Anastasios and Li, Junhua (2020) Diverse Feature Blend Based on Filter-Bank Common Spatial Pattern and Brain Functional Connectivity for Multiple Motor Imagery Detection. IEEE Access, 8. pp. 155590-155601. DOI https://doi.org/10.1109/access.2020.3018962

Bose, Rohit and Wang, Hongtao and Dragomir, Andrei and Thakor, Nitish and Bezerianos, Anastasios and Li, Junhua (2020) Regression Based Continuous Driving Fatigue Estimation: Towards Practical Implementation. IEEE Transactions on Cognitive and Developmental Systems, 12 (2). pp. 323-331. DOI https://doi.org/10.1109/TCDS.2019.2929858

Wang, Hongtao and Tang, Cong and Xu, Tao and Li, Ting and Xu, Linfeng and Yue, Hongwei and Chen, Peng and Li, Junhua and Bezerianos, Anastasios (2020) An Approach of One-vs-Rest Filter Bank Common Spatial Pattern and Spiking Neural Networks for Multiple Motor Imagery Decoding. IEEE Access, 8. pp. 86850-86861. DOI https://doi.org/10.1109/access.2020.2992631

Li, Junhua and Thakor, Nitish and Bezerianos, Anastasios (2020) Brain functional connectivity in unconstrained walking with and without an exoskeleton. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (3). pp. 730-739. DOI https://doi.org/10.1109/tnsre.2020.2970015 (In Press)

Bose, Rohit and Goh, Sim Kuan and Wong, Kian F and Thakor, Nitish and Bezerianos, Anastasios and Li, Junhua (2019) Classification of Brain Signal (EEG) Induced by Shape-Analogous Letter Perception. Advanced Engineering Informatics, 42. p. 100992. DOI https://doi.org/10.1016/j.aei.2019.100992

Li, Junhua and Dimitrakopoulos, Georgios N and Thangavel, Pavithra and Chen, Gong and Sun, Yu and Guo, Zhao and Yu, Haoyong and Thakor, Nitish and Bezerianos, Anastasios (2019) What Are Spectral and Spatial Distributions of EEG-EMG Correlations in Overground Walking? An Exploratory Study. IEEE Access, 7. pp. 143935-143946. DOI https://doi.org/10.1109/access.2019.2945602

Li, Junhua and Romero-Garcia, Rafael and Suckling, John and Feng, Lei (2019) Habitual tea drinking modulates brain efficiency: evidence from brain connectivity evaluation. Aging, 11 (11). pp. 3876-3890. DOI https://doi.org/10.18632/aging.102023

Harvy, Jonathan and Thakor, Nitish and Bezerianos, Anastasios and Li, Junhua (2019) Between-Frequency Topographical and Dynamic High-Order Functional Connectivity for Driving Drowsiness Assessment. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27 (3). pp. 358-367. DOI https://doi.org/10.1109/tnsre.2019.2893949

Li, Junhua and Thakor, Nitish and Bezerianos, Anastasios (2018) Unilateral Exoskeleton Imposes Significantly Different Hemispherical Effect in Parietooccipital Region, but Not in Other Regions. Scientific Reports, 8 (1). 13470-. DOI https://doi.org/10.1038/s41598-018-31828-1

Goh, Sim Kuan and Abbass, Hussein A and Tan, Kay Chen and Al-Mamun, Abdullah and Thakor, Nitish and Bezerianos, Anastasios and Li, Junhua (2018) Spatio–Spectral Representation Learning for Electroencephalographic Gait-Pattern Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26 (9). pp. 1858-1867. DOI https://doi.org/10.1109/tnsre.2018.2864119

Li, Junhua and Li, Chao and Cichocki, Andrzej (2017) Canonical Polyadic Decomposition With Auxiliary Information for Brain–Computer Interface. IEEE Journal of Biomedical and Health Informatics, 21 (1). pp. 263-271. DOI https://doi.org/10.1109/jbhi.2015.2491645

Li, Junhua and Struzik, Zbigniew and Zhang, Liqing and Cichocki, Andrzej (2015) Feature learning from incomplete EEG with denoising autoencoder. Neurocomputing, 165. pp. 23-31. DOI https://doi.org/10.1016/j.neucom.2014.08.092

Conference or Workshop Item

Wang, Zilu and Daly, Ian and Li, Junhua (2023) An Evaluation of Hybrid Deep Learning Models for Classifying Multiple Lower Limb Actions. In: The 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023-07-24 - 2023-07-27, Sydney, Australia. (In Press)

Wang, Zilu and Li, Jichun and Daly, Ian and Li, Junhua (2022) Machine Learning for Multi-Action Classification of Lower Limbs for BCI. In: The 5th International Conference on Computing, Electronics & Communications Engineering, 2022-08-17 - 2022-08-18, Southend.

Yu, Yinhu and Li, Junhua (2022) Feature Fusion-Based Capsule Network for Cross-Subject Mental Workload Classification. In: The 15th International Conference on Brain Informatics (BI2022), 2022-07-15 - 2022-07-17, Padova, Italy.

Zian, Pei and Tao, Xu and Anastasios, Bezerianos and Li, Junhua and Yu, Sun and Hongtao, Wang (2020) The Effect of Longitudinal Training on Working Memory Capacities: An Exploratory EEG Study. In: The 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, 2020-07-20 - 2020-07-24, Montreal, Canada. (In Press)

Sigalas, Evangelos and Li, Junhua and Bezerianos, Anastasios and Antonopoulos, Chris (2018) Emergence of chimera-like states in prefrontal-cortex macaque intracranial recordings. In: 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2018-06-12 - 2018-06-14, Singapore.