1 citations · 1 across the 3 of their papers we have counts for
3 papers
quant-ph2022
quEEGNet: Quantum AI for Biosignal Processing
Toshiaki Koike-Akino, Ye Wang
In this paper, we introduce an emerging quantum machine learning (QML) framework to assist classical deep learning methods for biosignal processing applications. Specifically, we p…
cs.LG2022
Quantum Transfer Learning for Wi-Fi Sensing
Toshiaki Koike-Akino, Pu Wang, Ye Wang
Beyond data communications, commercial-off-the-shelf Wi-Fi devices can be used to monitor human activities, track device locomotion, and sense the ambient environment. In particula…
cs.IT2019★ 1 cited
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
This paper studies a new application of deep learning (DL) for optimizing constellations in two-way relaying with physical-layer network coding (PNC), where deep neural network (DN…