38 citations · 44 across the 4 of their papers we have counts for
4 papers
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization
Xinlin Li, Bang Liu, Rui Heng Yang +3
Efficiently deploying deep neural networks on low-resource edge devices is challenging due to their ever-increasing resource requirements. To address this issue, researchers have p…
Low-bit Shift Network for End-to-End Spoken Language Understanding
Anderson R. Avila, Khalil Bibi, Rui Heng Yang +3
Deep neural networks (DNN) have achieved impressive success in multiple domains. Over the years, the accuracy of these models has increased with the proliferation of deeper and mor…
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
Dacheng Chen, Dan Li, Xiuqin Xu +2
Atrial Fibrillation (AF) is a common cardiac arrhythmia affecting a large number of people around the world. If left undetected, it will develop into chronic disability or even ear…
Mental Task Classification Using Electroencephalogram Signal
Zeyu Bai, Ruizhi Yang, Youzhi Liang
This paper studies the classification problem on electroencephalogram (EEG) data of mental tasks, using standard architecture of three-layer CNN, stacked LSTM, stacked GRU. We furt…