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EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals


Jun 16, 2021
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus

* 8 pages, 8 figures, under review in EMBC conference 

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Protograph-Based Design for QC Polar Codes


Feb 25, 2021
Toshiaki Koike-Akino, Ye Wang

* 6 pages, 8 figures, under review in ISIT 

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DNN-assisted optical geometric constellation shaped PSK modulation for PAM4-to-QPSK format conversion gateway node


Feb 23, 2021
Takahiro Kodama, Toshiaki Koike-Akino, David S. Millar, Keisuke Kojima, Kieran Parsons


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Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders


Sep 28, 2020
Mo Han, Ozan Ozdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

* 8 pages 

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Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction


Aug 26, 2020
Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* IEEE Signal Processing Letters, 2020 
* Accepted for publication by IEEE Signal Processing Letters 

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Robust Machine Learning via Privacy/Rate-Distortion Theory


Jul 22, 2020
Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin

* 14 pages, 2 figures, under submission 

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AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis


Jul 02, 2020
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

* 18 pages, 6 figures 

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Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks


Jun 17, 2020
Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen, Takashi Watanabe

* 5 pages 

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Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction


May 06, 2020
Toshiaki Koike-Akino, Ye Wang

* 14 pages, 12 figures, ISIT 2020 accepted 

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Disentangled Adversarial Transfer Learning for Physiological Biosignals


Apr 15, 2020
Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020) 

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LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood


Apr 06, 2020
Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng

* Accepted to CVPR 2020 

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Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation


Nov 22, 2019
Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons

* 7 pages, 13 figures 

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Adversarial Deep Learning in EEG Biometrics


Mar 27, 2019
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* IEEE Signal Processing Letters, 2019 
* Accepted for publication by IEEE Signal Processing Letters 

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Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks


Mar 09, 2019
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang


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Learning to Modulate for Non-coherent MIMO


Mar 09, 2019
Ye Wang, Toshiaki Koike-Akino


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Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders


Dec 17, 2018
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* 9th International IEEE EMBS Conference on Neural Engineering (NER'19) 

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Invariant Representations from Adversarially Censored Autoencoders


May 21, 2018
Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

* 9 pages, 5 figures 

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