most citedExperimental Demonstration of Millimeter-Wave Radio-over-Fiber System with Convolutional Neural Network (CNN) and Binary Convolutional Neural Network (BCNN)

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

eess.SP2020

FPGA-based Neural Network Accelerator for Millimeter-Wave Radio-over-Fiber Systems

Jeonghun Lee, Jiayuan He, Ke Wang

With the rapidly-developing high-speed wireless communications, the 60 GHz millimeter-wave frequency range and radio-over-fiber systems have been investigated as a promising soluti…

eess.SP20203 cited

Experimental Demonstration of Millimeter-Wave Radio-over-Fiber System with Convolutional Neural Network (CNN) and Binary Convolutional Neural Network (BCNN)

Jeonghun Lee, Jiayuan He, Yitong Wang +2

The millimeter-wave (mm-wave) radio-over-fiber (RoF) systems have been widely studied as promising solutions to deliver high-speed wireless signals to end users, and neural network…

cs.CV2018

Data-specific Adaptive Threshold for Face Recognition and Authentication

Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan +1

Many face recognition systems boost the performance using deep learning models, but only a few researches go into the mechanisms for dealing with online registration. Although we c…

cs.CV2018

Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications

Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen +1

Automatic age and gender classification based on unconstrained images has become essential techniques on mobile devices. With limited computing power, how to develop a robust syste…

cs.CV2018

Unifying and Merging Well-trained Deep Neural Networks for Inference Stage

Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee +2

We propose a novel method to merge convolutional neural-nets for the inference stage. Given two well-trained networks that may have different architectures that handle different ta…