13 citations · 24 across the 5 of their papers we have counts for
8 papers
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…
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
Jiancheng Lyu, Shuai Zhang, Yingyong Qi +1
ShuffleNet is a state-of-the-art light weight convolutional neural network architecture. Its basic operations include group, channel-wise convolution and channel shuffling. However…
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…
DNQ: Dynamic Network Quantization
Yuhui Xu, Shuai Zhang, Yingyong Qi +3
Network quantization is an effective method for the deployment of neural networks on memory and energy constrained mobile devices. In this paper, we propose a Dynamic Network Quant…