| Data-driven privacy-preserving communication Y Wang, P Ishwar, A Tripathy US Patent 11,132,453, 2021 | 217 | 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 | 178 | 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 | 131 | 2013 |
| Privacy-preserving adversarial networks A Tripathy, Y Wang, P Ishwar 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 103 | 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 | 100 | 2019 |
| Learning Invariant Representations From EEG via Adversarial Inference O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş IEEE Access 8, 27074-27085, 2020 | 99 | 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 | 86 | 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 | 78 | 2016 |
| 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 | 74 | 2021 |
| 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 | 72 | 2019 |
| 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 | 71 | 2016 |
| 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 | 67 | 2012 |
| 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 | 60 | 2020 |
| Privacy preserving statistical analysis on distributed databases Y Wang, BR Lin, S Rane US Patent 10,146,958, 2018 | 59 | 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 | 52 | 2020 |
| 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 | 42 | 2021 |
| Soft-output decoding of codewords encoded with polar code Y Wang, T Koike-Akino, SC Draper US Patent 10,312,946, 2019 | 41 | 2019 |
| 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 | 37 | 2021 |
| Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks T Matsumine, T Koike-Akino, Y Wang ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 35 | 2019 |
| 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 | 35 | 2019 |
Toshiaki Koike-AkinoMERLVerified email at merl.com
