19 citations · 92 across the 16 of their papers we have counts for
6 papers · 1 filter
Clustering COVID-19 Lung Scans
Jacob Householder, Andrew Householder, John Paul Gomez-Reed +2
With the ongoing COVID-19 pandemic, understanding the characteristics of the virus has become an important and challenging task in the scientific community. While tests do exist fo…
Automated Radiological Report Generation For Chest X-Rays With Weakly-Supervised End-to-End Deep Learning
Shuai Zhang, Xiaoyan Xin, Yang Wang +7
The chest X-Ray (CXR) is the one of the most common clinical exam used to diagnose thoracic diseases and abnormalities. The volume of CXR scans generated daily in hospitals is huge…
Weakly-Supervised Degree of Eye-Closeness Estimation
Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour +2
Following recent technological advances there is a growing interest in building non-intrusive methods that help us communicate with computing devices. In this regard, accurate info…
Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu, Yuxi Li, Shuai Zhang +7
To accelerate DNNs inference, low-rank approximation has been widely adopted because of its solid theoretical rationale and efficient implementations. Several previous works attemp…
DAC: Data-free Automatic Acceleration of Convolutional Networks
Xin Li, Shuai Zhang, Bolan Jiang +3
Deploying a deep learning model on mobile/IoT devices is a challenging task. The difficulty lies in the trade-off between computation speed and accuracy. A complex deep learning mo…
Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu, Yuxi Li, Shuai Zhang +6
The performance of Deep Neural Networks (DNNs) keeps elevating in recent years with increasing network depth and width. To enable DNNs on edge devices like mobile phones, researche…