Items where Author is "Li, Shurui"
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Li, Shurui and Daly, Ian and Guan, Cuntai and Cichocki, Andrzej and Jin, Jing (2024) Inter-participant transfer learning with attention based domain adversarial training for P300 detection. Neural Networks, 180. p. 106655. DOI https://doi.org/10.1016/j.neunet.2024.106655
Liu, Chang and Jin, Jing and Daly, Ian and Li, Shurui and Sun, Hao and Huang, Yitao and Wang, Xingyu and Cichocki, Andrzej (2022) SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30. pp. 540-549. DOI https://doi.org/10.1109/tnsre.2022.3156076
Jin, Jing and Sun, Hao and Daly, Ian and Li, Shurui and Liu, Chang and Wang, Xingyu and Cichocki, Andrzej (2022) A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery based Brain-Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30. pp. 20-29. DOI https://doi.org/10.1109/tnsre.2021.3139095
Li, Shurui and Jin, Jing and Daly, Ian and Liu, Chang and Cichocki, Andrzej (2022) Feature selection method based on Menger curvature and LDA theory for a P300 brain–computer interface. Journal of Neural Engineering, 18 (6). 066050-066050. DOI https://doi.org/10.1088/1741-2552/ac42b4
Jin, Jing and Liu, Chang and Daly, Ian and Miao, Yangyang and Li, Shurui and Wang, Xingyu and Cichocki, Andrzej (2020) Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (10). pp. 2153-2163. DOI https://doi.org/10.1109/tnsre.2020.3020975
Li, Shurui and Jin, Jing and Daly, Ian and Zuo, Cili and Wang, Xingyu and Cichocki, Andrzej (2020) Comparison of the ERP-Based BCI Performance Among Chromatic (RGB) Semitransparent Face Patterns. Frontiers in Neuroscience, 14. 54-. DOI https://doi.org/10.3389/fnins.2020.00054
Jin, Jing and Li, Shurui and Daly, Ian and Miao, Yangyang and Liu, Chang and Wang, Xingyu and Cichocki, Andrzej (2020) The Study of Generic Model Set for Reducing Calibration Time in P300-Based Brain-Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (1). pp. 3-12. DOI https://doi.org/10.1109/tnsre.2019.2956488