Các bài viết có thể truy cập công khai - Ye WangTìm hiểu thêm
Có tại một số nơi: 13
Adversarial Deep Learning in EEG Biometrics
O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş
IEEE Signal Processing Letters 26 (5), 710-714, 2019
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Learning Invariant Representations From EEG via Adversarial Inference
O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş
IEEE Access 8, 27074-27085, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
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
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
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
Các cơ quan ủy nhiệm: European Commission, Government of Spain
Irregular polar coding for complexity-constrained lightwave systems
T Koike-Akino, C Cao, Y Wang, SC Draper, DS Millar, K Kojima, ...
Journal of Lightwave Technology 36 (11), 2248-2258, 2018
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
SC Medin, B Egger, A Cherian, Y Wang, JB Tenenbaum, X Liu, TK Marks
AAAI Conference on Artificial Intelligence, 2021
Các cơ quan ủy nhiệm: Swiss National Science Foundation
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction
M Han, O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş
IEEE Signal Processing Letters 27, 1565-1569, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel
MH Jespersen, M Pajovic, T Koike-Akino, Y Wang, P Popovski, PV Orlik
IEEE Global Communications Conference (GLOBECOM), 2019
Các cơ quan ủy nhiệm: Danish Council for Independent Research, European Commission
Irregular polar coding for multi-level modulation in complexity-constrained lightwave systems
T Koike-Akino, C Cao, Y Wang, SC Draper, DS Millar, K Parsons, ...
2017 European Conference on Optical Communication (ECOC), 1-3, 2017
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders
M Han, O Ozdenizci, T Koike-Akino, Y Wang, D Erdogmus
IEEE Journal of Biomedical and Health Informatics, 2021
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Disentangled adversarial transfer learning for physiological biosignals
M Han, O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Inverse regular perturbation with ML-assisted phasor correction for fiber nonlinearity compensation
H Dzieciol, T Koike-Akino, Y Wang, K Parsons
Optics Letters 47 (14), 3471-3474, 2022
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council
Object Trajectory Estimation with Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-Fi
CJ Vaca-Rubio, P Wang, T Koike-Akino, Y Wang, P Boufounos, ...
IEEE Journal of Selected Topics in Signal Processing, 2024
Các cơ quan ủy nhiệm: European Commission
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