59 citations · 71 across the 7 of their papers we have counts for
7 papers
Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning
Boyang Li, Bingyu Shen, Qing Lu +2
The continuous thriving of the Blockchain society motivates research in novel designs of schemes supporting cryptocurrencies. Previously multiple Proof-of-Deep-Learning(PoDL) conse…
A Neural Network Based Method with Transfer Learning for Genetic Data Analysis
Jinghang Lin, Shan Zhang, Qing Lu
Transfer learning has emerged as a powerful technique in many application problems, such as computer vision and natural language processing. However, this technique is largely igno…
RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation
Qing Lu, Xiaowei Xu, Shunjie Dong +4
Accurately segmenting temporal frames of cine magnetic resonance imaging (MRI) is a crucial step in various real-time MRI guided cardiac interventions. To achieve fast and accurate…
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus
Boyang Li, Qing Lu, Weiwen Jiang +2
In most popular public accessible cryptocurrency systems, the mining pool plays a key role because mining cryptocurrency with the mining pool turns the non-profitable situation int…
Quantization of Deep Neural Networks for Accurate Edge Computing
Wentao Chen, Hailong Qiu, Jian Zhuang +7
Deep neural networks (DNNs) have demonstrated their great potential in recent years, exceeding the per-formance of human experts in a wide range of applications. Due to their large…
NASS: Optimizing Secure Inference via Neural Architecture Search
Song Bian, Weiwen Jiang, Qing Lu +2
Due to increasing privacy concerns, neural network (NN) based secure inference (SI) schemes that simultaneously hide the client inputs and server models attract major research inte…