Xiaorong Gao, Ph.D.
Affiliations: | Biomedical Engineering | Institute of Neural Engineering, Tsinghua University, Beijing, Beijing Shi, China |
Area:
NeuroengineeringGoogle:
"Xiaorong Gao"Mean distance: 106866 (cluster 17)
Cross-listing: Chemistry Tree
Children
Sign in to add traineeLiang Guo | research assistant | 2002-2004 | Tsinghua University (Beijing) |
Valerio Raco | research assistant | 2011-2011 | Institue of Neural Engineering, Tsinghua University, Beijing, China |
Bingchuan Liu | grad student | 2014-2022 | Tsinghua University |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Gu M, Pei W, Gao X, et al. (2024) An open dataset for human SSVEPs in the frequency range of 1-60 Hz. Scientific Data. 11: 196 |
Liu K, Yao Z, Zheng L, et al. (2023) A high-frequency SSVEP-BCI system based on a 360 Hz refresh rate. Journal of Neural Engineering. 20 |
Wang Z, Shi N, Zhang Y, et al. (2023) Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces. Nature Communications. 14: 4213 |
Wei Q, Zhang Y, Wang Y, et al. (2023) A Canonical Correlation Analysis-Based Transfer Learning Framework for Enhancing the Performance of SSVEP-Based BCIs. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 31: 2809-2821 |
Shi N, Li X, Liu B, et al. (2023) Representative-based Cold Start for Adaptive SSVEP-BCI. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society |
Chen X, Liu B, Wang Y, et al. (2023) Optimizing Stimulus Frequency Ranges for Building a High-Rate High Frequency SSVEP-BCI. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society |
Zhang S, Gao X, Cui H, et al. (2023) Transcranial Direct Current Stimulation-based Neuromodulation Improves the Performance of Brain-Computer Interfaces Based on Steady-State Visual Evoked Potential. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society |
Li M, Li N, Gao X, et al. (2023) A Novel SSVEP Brain-Computer Interface System Based on Simultaneous Modulation of Luminance and Motion. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society |
Song Y, Zheng Q, Liu B, et al. (2022) EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society |
Sun Y, Liang L, Sun J, et al. (2022) A Binocular Vision SSVEP Brain-Computer Interface Paradigm for Dual-Frequency Modulation. Ieee Transactions On Bio-Medical Engineering |