9 citations · 11 across the 2 of their papers we have counts for
3 papers
eess.IV2019★ 2 cited
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices
Hongjia Li, Sheng Lin, Ning Liu +2
Deep neural networks (DNNs) have been expanded into medical fields and triggered the revolution of some medical applications by extracting complex features and achieving high accur…
cs.LG2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu, Xiaolong Ma, Zhiyuan Xu +3
Structured weight pruning is a representative model compression technique of DNNs to reduce the storage and computation requirements and accelerate inference. An automatic hyperpar…
cs.AI2018★ 9 cited
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data
Ning Liu, Ying Liu, Brent Logan +3
This paper presents the first deep reinforcement learning (DRL) framework to estimate the optimal Dynamic Treatment Regimes from observational medical data. This framework is more…