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IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal


Nov 22, 2021
Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Tzyy-Ping Jung


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Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning


Feb 10, 2021
Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung

* Mirror version of the manuscript in the Journal of Neural Engineering on IOP Science (https://iopscience.iop.org/article/10.1088/1741-2552/abcb6e/meta), Journal of Neural Engineering (2020) 

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EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks


Oct 30, 2020
Lubin Meng, Jian Huang, Zhigang Zeng, Xue Jiang, Shan Yu, Tzyy-Ping Jung, Chin-Teng Lin, Ricardo Chavarriaga, Dongrui Wu


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Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything


Mar 04, 2020
Xiao Zhang, Dongrui Wu, Lieyun Ding, Hanbin Luo, Chin-Teng Lin, Tzyy-Ping Jung, Ricardo Chavarriaga


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


Jan 28, 2020
Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin

* Submitting to IEEE/ACM Transactions on Computational Biology and Bioinformatics 

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Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events


Nov 11, 2019
Sharaj Panwar, Paul Rad, Tzyy-Ping Jung, Yufei Huang


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Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing


May 16, 2019
Siddharth Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski

* Accepted for publication in IEEE Transactions on Affective Computing. This version on the arXiv is the updated version of the same manuscript 

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EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features


Apr 27, 2017
Dongrui Wu, Brent J. Lance, Vernon J. Lawhern, Stephen Gordon, Tzyy-Ping Jung, Chin-Teng Lin

* arXiv admin note: text overlap with arXiv:1702.02914 

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Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI)


Feb 09, 2017
Dongrui Wu, Jung-Tai King, Chun-Hsiang Chuang, Chin-Teng Lin, Tzyy-Ping Jung


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Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals


Nov 15, 2014
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Zhouyue Pi, Bhaskar D. Rao

* IEEE Transactions On Neural Systems And Rehabilitation Engineering, Vol. 22, No. 6, pp. 1186-1197, November 2014 
* Codes are available at: https://sites.google.com/site/researchbyzhang/stsbl 

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Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware


Nov 02, 2014
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao

* Matlab codes can be downloaded at: http://dsp.ucsd.edu/~zhilin/BSBL.html, or http://sites.google.com/site/researchbyzhang/bsbl 

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Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning


Nov 02, 2014
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao

* The code and the data can be downloaded from the first author's homepage: http://sites.google.com/site/researchbyzhang/bsbl, or http://dsp.ucsd.edu/~zhilin/BSBL.html 

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Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities


Apr 21, 2014
Zhilin Zhang, Bhaskar D. Rao, Tzyy-Ping Jung

* Invited paper for 2013 Asilomar Conference on Signals, Systems & Computers (Asilomar 2013) 

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