8 citations · 8 across the 1 of their papers we have counts for
2 papers
cs.DC2019
Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture
Ye Yu, Yingmin Li, Shuai Che +2
Deep neural networks (DNNs) have been shown to outperform conventional machine learning algorithms across a wide range of applications, e.g., image recognition, object detection, r…
cs.NE2019★ 8 cited
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM
Hongxu Yin, Guoyang Chen, Yingmin Li +3
Many long short-term memory (LSTM) applications need fast yet compact models. Neural network compression approaches, such as the grow-and-prune paradigm, have proved to be promisin…