activity
20202023
most citedBlockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging

68 citations · 92 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SP2023

Pedestrian Recognition with Radar Data-Enhanced Deep Learning Approach Based on Micro-Doppler Signatures

Haoming Li, Yu Xiang, Haodong Xu +1

As a hot topic in recent years, the ability of pedestrians identification based on radar micro-Doppler signatures is limited by the lack of adequate training data. In this paper, w…

cs.CV2023

Novel deep learning methods for 3D flow field segmentation and classification

Xiaorui Bai, Wenyong Wang, Jun Zhang +2

Flow field segmentation and classification help researchers to understand vortex structure and thus turbulent flow. Existing deep learning methods mainly based on global informatio…

cs.NI2023

Multi-MEC Cooperation Based VR Video Transmission and Cache using K-Shortest Paths Optimization

Jingwen Xia, Luyao Chen, Yong Tang +2

In recent network architectures, multi-MEC cooperative caching has been introduced to reduce the transmission latency of VR videos, in which MEC servers' computing and caching capa…

cs.LG2022

A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method

Yu Xiang, Guangbo Zhang, Liwei Hu +2

Geometrical shape of airfoils, together with the corresponding flight conditions, are crucial factors for aerodynamic performances prediction. The obtained airfoils geometrical fea…

eess.SP2022

A Multi-Characteristic Learning Method with Micro-Doppler Signatures for Pedestrian Identification

Yu Xiang, Yu Huang, Haodong Xu +2

The identification of pedestrians using radar micro-Doppler signatures has become a hot topic in recent years. In this paper, we propose a multi-characteristic learning (MCL) model…

cs.CR2021★ 9 cited

Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans

Rajesh Kumar, WenYong Wang, Cheng Yuan +5

Medical health care centers are envisioned as a promising paradigm to handle the massive volume of data of COVID-19 patients using artificial intelligence (AI). Traditionally, AI t…

cs.CR2021★ 9 cited

Collective Intelligence: Decentralized Learning for Android Malware Detection in IoT with Blockchain

Rajesh Kumar, WenYong Wang, Jay Kumar +3

The widespread significance of Android IoT devices is due to its flexibility and hardware support features which revolutionized the digital world by introducing exciting applicatio…

eess.SY2021★ 3 cited

A Vehicles Control Model to Alleviate Traffic Instability

Jiancheng Fang, Yu Xiang, Yu Huang +2

While bringing convenience to people, the growing number of vehicles on road already cause inevitable traffic congestion. Some traffic congestion happen with observable reasons, bu…

eess.SP2020★ 3 cited

Flow Field Reconstructions with GANs based on Radial Basis Functions

Liwei Hu, Wenyong Wang, Yu Xiang +1

Nonlinear sparse data regression and generation have been a long-term challenge, to cite the flow field reconstruction as a typical example. The huge computational cost of computat…

eess.IV2020★ 68 cited

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging

Rajesh Kumar, Abdullah Aman Khan, Sinmin Zhang +7

With the increase of COVID-19 cases worldwide, an effective way is required to diagnose COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage and r…