9 citations · 12 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…
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…