Lubin Meng
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Explore the profile of Lubin Meng including associated specialties, affiliations and a list of published articles.
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6
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2
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Recent Articles
1.
Chen X, Meng L, Xu Y, Wu D
J Neural Eng
. 2024 Oct;
21(5).
PMID: 39433071
. machine learning has achieved significant success in electroencephalogram (EEG) based brain-computer interfaces (BCIs), with most existing research focusing on improving the decoding accuracy. However, recent studies have shown that...
2.
Jia T, Meng L, Li S, Liu J, Wu D
IEEE Trans Neural Syst Rehabil Eng
. 2024 Sep;
32:3442-3451.
PMID: 39255189
Training an accurate classifier for EEG-based brain-computer interface (BCI) requires EEG data from a large number of users, whereas protecting their data privacy is a critical consideration. Federated learning (FL)...
3.
Jiang X, Meng L, Wang Z, Wu D
IEEE Trans Biomed Eng
. 2023 Nov;
71(4):1308-1318.
PMID: 37971908
Objective: An electroencephalogram (EEG) based brain-computer interface (BCI) maps the user's EEG signals into commands for external device control. Usually a large amount of labeled EEG trials are required to...
4.
Meng L, Jiang X, Huang J, Li W, Luo H, Wu D
IEEE Trans Neural Syst Rehabil Eng
. 2023 Aug;
31:3576-3586.
PMID: 37651476
A brain-computer interface (BCI) establishes a direct communication pathway between the brain and an external device. Electroencephalogram (EEG) is the most popular input signal in BCIs, due to its convenience...
5.
Meng L, Jiang X, Huang J, Zeng Z, Yu S, Jung T, et al.
IEEE Trans Neural Syst Rehabil Eng
. 2023 May;
31:2224-2234.
PMID: 37145943
Research and development of electroencephalogram (EEG) based brain-computer interfaces (BCIs) have advanced rapidly, partly due to deeper understanding of the brain and wide adoption of sophisticated machine learning approaches for...
6.
Liu Z, Meng L, Zhang X, Fang W, Wu D
J Neural Eng
. 2021 Jun;
18(4).
PMID: 34181585
. Multiple convolutional neural network (CNN) classifiers have been proposed for electroencephalogram (EEG) based brain-computer interfaces (BCIs). However, CNN models have been found vulnerable to universal adversarial perturbations (UAPs), which...