Tzyy-Ping Jung
Affiliations: | SCCN | University of California, San Diego, La Jolla, CA |
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Sign in to add trainee| Youcun Zheng | research assistant | UCSD | |
| Siddharth Siddharth | grad student | ||
| Yu-Te Wang | grad student | 2011-2015 | UCSD |
| Chun-Shu Wei | grad student | 2012-2017 |
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Publications
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| Pan L, Wang K, Huang Y, et al. (2025) Enhancing motor imagery EEG classification with a Riemannian geometry-based spatial filtering (RSF) method. Neural Networks : the Official Journal of the International Neural Network Society. 188: 107511 |
| Xu F, Shi W, Lv C, et al. (2024) Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion. International Journal of Neural Systems. 2450069 |
| Ji D, Xiao X, Wu J, et al. (2024) A user-friendly visual brain-computer interface based on high-frequency steady-state visual evoked fields recorded by OPM-MEG. Journal of Neural Engineering. 21 |
| Luo R, Xiao X, Chen E, et al. (2023) Almost free of calibration for SSVEP-based brain-computer interfaces. Journal of Neural Engineering |
| Meng L, Jiang X, Huang J, et al. (2023) EEG-Based Brain-Computer Interfaces are Vulnerable to Backdoor Attacks. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 31: 2224-2234 |
| Chiang KJ, Dong S, Cheng CK, et al. (2023) Using EEG signals to assess workload during memory retrieval in a real-world scenario. Journal of Neural Engineering |
| Luo R, Xu M, Zhou X, et al. (2022) Data augmentation of SSVEPs using source aliasing matrix estimation for brain-computer interfaces. Ieee Transactions On Bio-Medical Engineering |
| Chuang CH, Chang KY, Huang CS, et al. (2022) IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal. Neuroimage. 263: 119586 |
| Wang Z, Wong CM, Rosa A, et al. (2022) Stimulus-Stimulus Transfer Based on Time-Frequency-Joint Representation in SSVEP-Based BCIs. Ieee Transactions On Bio-Medical Engineering |
| Tsai BY, Diddi SVS, Ko LW, et al. (2022) Development of an Adaptive Artifact Subspace Reconstruction Based on Hebbian/Anti-Hebbian Learning Networks for Enhancing BCI Performance. Ieee Transactions On Neural Networks and Learning Systems |