51 citations · 85 across the 3 of their papers we have counts for
6 papers
Lachesis: Automatic Partitioning for UDF-Centric Analytics
Jia Zou, Amitabh Das, Pratik Barhate +4
Persistent partitioning is effective in avoiding expensive shuffling operations. However it remains a significant challenge to automate this process for Big Data analytics workload…
A Federated Learning Framework for Healthcare IoT devices
Binhang Yuan, Song Ge, Wenhui Xing
The Internet of Things (IoT) revolution has shown potential to give rise to many medical applications with access to large volumes of healthcare data collected by IoT devices. Howe…
Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks
Binhang Yuan, Wenhui Xing
We train an enhanced deep convolutional neural network in order to identify eight cardiac abnormalities from the standard 12-lead electrocardiograms (ECGs) using the dataset of 140…
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning
Dimitrije Jankov, Shangyu Luo, Binhang Yuan +4
A number of popular systems, most notably Google's TensorFlow, have been implemented from the ground up to support machine learning tasks. We consider how to make a very small set…
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing Detection
Binhang Yuan, Chen Wang, Chen Luo +4
Wind power, as an alternative to burning fossil fuels, is abundant and inexhaustible. To fully utilize wind power, wind farms are usually located in areas of high altitude and faci…
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development
Jia Zou, R. Matthew Barnett, Tania Lorido-Botran +6
This paper describes PlinyCompute, a system for development of high-performance, data-intensive, distributed computing tools and libraries. In the large, PlinyCompute presents the…