79 citations · 89 across the 6 of their papers we have counts for
6 papers
Semi-supervised Learning for COVID-19 Image Classification via ResNet
Lucy Nwosu, Xiangfang Li, Lijun Qian +2
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic in over 200 countries and territories, which has resulted in a great public health concern across the internationa…
A Survey of Complex-Valued Neural Networks
Joshua Bassey, Lijun Qian, Xianfang Li
Artificial neural networks (ANNs) based machine learning models and especially deep learning models have been widely applied in computer vision, signal processing, wireless communi…
Computation Offloading in Multi-Access Edge Computing Networks: A Multi-Task Learning Approach
Bo Yang, Xuelin Cao, Joshua Bassey +3
Multi-access edge computing (MEC) has already shown the potential in enabling mobile devices to bear the computation-intensive applications by offloading some tasks to a nearby acc…
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework
Bo Yang, Xuelin Cao, Xiangfang Li +2
This letter proposes an edge learning-based offloading framework for autonomous driving, where the deep learning tasks can be offloaded to the edge server to improve the inference…
Cell Type Identification from Single-Cell Transcriptomic Data via Semi-supervised Learning
Xishuang Dong, Shanta Chowdhury, Uboho Victor +2
Cell type identification from single-cell transcriptomic data is a common goal of single-cell RNA sequencing (scRNAseq) data analysis. Neural networks have been employed to identif…
Device Authentication Codes based on RF Fingerprinting using Deep Learning
Joshua Bassey, Xiangfang Li, Lijun Qian
In this paper, we propose Device Authentication Code (DAC), a novel method for authenticating IoT devices with wireless interface by exploiting their radio frequency (RF) signature…