Ye Wang
Cited by
Cited by
Data-driven privacy-preserving communication
Y Wang, P Ishwar, A Tripathy
US Patent 11,132,453, 2021
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
A Kumar, TK Marks, W Mou, Y Wang, M Jones, A Cherian, T Koike-Akino, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Secure biometrics: Concepts, authentication architectures, and challenges
S Rane, Y Wang, SC Draper, P Ishwar
IEEE Signal Processing Magazine 30 (5), 51-64, 2013
Privacy-preserving adversarial networks
A Tripathy, Y Wang, P Ishwar
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
Adversarial Deep Learning in EEG Biometrics
O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş
IEEE Signal Processing Letters 26 (5), 710-714, 2019
Learning Invariant Representations From EEG via Adversarial Inference
O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş
IEEE Access 8, 27074-27085, 2020
Translating sEMG signals to continuous hand poses using recurrent neural networks
F Quivira, T Koike-Akino, Y Wang, D Erdogmus
2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018
On privacy-utility tradeoffs for constrained data release mechanisms
YO Basciftci, Y Wang, P Ishwar
2016 Information Theory and Applications Workshop (ITA), 1-6, 2016
High-accuracy user identification using EEG biometrics
T Koike-Akino, R Mahajan, TK Marks, Y Wang, S Watanabe, O Tuzel, ...
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders
O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 207-210, 2019
A theoretical analysis of authentication, privacy, and reusability across secure biometric systems
Y Wang, S Rane, SC Draper, P Ishwar
IEEE Transactions on Information Forensics and Security 7 (6), 1825-1840, 2012
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals
A Demir, T Koike-Akino, Y Wang, M Haruna, D Erdogmus
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices
Y Tang, K Kojima, T Koike‐Akino, Y Wang, P Wu, Y Xie, MH Tahersima, ...
Laser & Photonics Reviews 14 (12), 2000287, 2020
Privacy preserving statistical analysis on distributed databases
Y Wang, BR Lin, S Rane
US Patent 10,146,958, 2018
Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation
T Koike-Akino, Y Wang, D Millar, K Kojima, K Parsons
Journal of Lightwave Technology, 2020
Soft-output decoding of codewords encoded with polar code
Y Wang, T Koike-Akino, SC Draper
US Patent 10,312,946, 2019
Remaining Useful Life Estimation for LFP Cells in Second-Life Applications
I Sanz-Gorrachategui, P Pastor-Flores, M Pajovic, Y Wang, PV Orlik, ...
IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021
Deep Neural Networks for Inverse Design of Nanophotonic Devices
K Kojima, MH Tahersima, T Koike-Akino, DK Jha, Y Tang, Y Wang, ...
Journal of Lightwave Technology 39 (4), 1010-1019, 2021
Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification
CS Wei, T Koike-Akino, Y Wang
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 328-331, 2019
Privacy-utility tradeoffs under constrained data release mechanisms
Y Wang, YO Basciftci, P Ishwar
arXiv preprint arXiv:1710.09295, 2017
The system can't perform the operation now. Try again later.
Articles 1–20