Wu D - Search Results

1

EEG-Based Brain-Computer Interfaces are Vulnerable to Backdoor Attacks.

Meng L, Jiang X, Huang J, Zeng Z, Yu S, Jung TP, Lin CT, Chavarriaga R, Wu D. Meng L, et al. Among authors: wu d. IEEE Trans Neural Syst Rehabil Eng. 2023;31:2224-2234. doi: 10.1109/TNSRE.2023.3273214. Epub 2023 May 10. IEEE Trans Neural Syst Rehabil Eng. 2023. PMID: 37145943

2

EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features.

Wu D, Lance BJ, Lawhern VJ, Gordon S, Jung TP, Lin CT. Wu D, et al. IEEE Trans Neural Syst Rehabil Eng. 2017 Nov;25(11):2157-2168. doi: 10.1109/TNSRE.2017.2699784. Epub 2017 Apr 28. IEEE Trans Neural Syst Rehabil Eng. 2017. PMID: 28463203

3

Protecting Privacy of Users in Brain-Computer Interface Applications.

Agarwal A, Dowsley R, McKinney ND, Wu D, Lin CT, De Cock M, Nascimento ACA. Agarwal A, et al. Among authors: wu d. IEEE Trans Neural Syst Rehabil Eng. 2019 Aug;27(8):1546-1555. doi: 10.1109/TNSRE.2019.2926965. Epub 2019 Jul 4. IEEE Trans Neural Syst Rehabil Eng. 2019. PMID: 31283483

4

A Novel Negative-Transfer-Resistant Fuzzy Clustering Model With a Shared Cross-Domain Transfer Latent Space and its Application to Brain CT Image Segmentation.

Jiang Y, Gu X, Wu D, Hang W, Xue J, Qiu S, Lin CT. Jiang Y, et al. Among authors: wu d. IEEE/ACM Trans Comput Biol Bioinform. 2021 Jan-Feb;18(1):40-52. doi: 10.1109/TCBB.2019.2963873. Epub 2021 Feb 3. IEEE/ACM Trans Comput Biol Bioinform. 2021. PMID: 31905144

5

Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces.

Zhang W, Wu D. Zhang W, et al. Among authors: wu d. IEEE Trans Neural Syst Rehabil Eng. 2020 May;28(5):1117-1127. doi: 10.1109/TNSRE.2020.2985996. Epub 2020 Apr 6. IEEE Trans Neural Syst Rehabil Eng. 2020. PMID: 32286993

6

A Driving Performance Forecasting System Based on Brain Dynamic State Analysis Using 4-D Convolutional Neural Networks.

Lin CT, Chuang CH, Hung YC, Fang CN, Wu D, Wang YK. Lin CT, et al. Among authors: wu d. IEEE Trans Cybern. 2021 Oct;51(10):4959-4967. doi: 10.1109/TCYB.2020.3010805. Epub 2021 Oct 12. IEEE Trans Cybern. 2021. PMID: 32816684

7

EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications.

Gu X, Cao Z, Jolfaei A, Xu P, Wu D, Jung TP, Lin CT. Gu X, et al. Among authors: wu d. IEEE/ACM Trans Comput Biol Bioinform. 2021 Sep-Oct;18(5):1645-1666. doi: 10.1109/TCBB.2021.3052811. Epub 2021 Oct 7. IEEE/ACM Trans Comput Biol Bioinform. 2021. PMID: 33465029 Review.

8

Universal adversarial perturbations for CNN classifiers in EEG-based BCIs.

Liu Z, Meng L, Zhang X, Fang W, Wu D. Liu Z, et al. Among authors: wu d. J Neural Eng. 2021 Jul 15;18(4). doi: 10.1088/1741-2552/ac0f4c. J Neural Eng. 2021. PMID: 34181585

9

Tiny noise, big mistakes: adversarial perturbations induce errors in brain-computer interface spellers.

Zhang X, Wu D, Ding L, Luo H, Lin CT, Jung TP, Chavarriaga R. Zhang X, et al. Among authors: wu d. Natl Sci Rev. 2020 Sep 10;8(4):nwaa233. doi: 10.1093/nsr/nwaa233. eCollection 2021 Apr. Natl Sci Rev. 2020. PMID: 34691612 Free PMC article.

10

Transfer learning for motor imagery based brain-computer interfaces: A tutorial.

Wu D, Jiang X, Peng R. Wu D, et al. Neural Netw. 2022 Sep;153:235-253. doi: 10.1016/j.neunet.2022.06.008. Epub 2022 Jun 14. Neural Netw. 2022. PMID: 35753202 Review.

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