11 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 11 cited
Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT
Shunpu Tang, Lunyuan Chen, Ke HeJunjuan Xia +2
In this paper, we investigate how to deploy computational intelligence and deep learning (DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can collabora…
cs.LG2021★ 2 cited
Learning based signal detection for MIMO systems with unknown noise statistics
Ke He, Le He, Lisheng Fan +3
This paper aims to devise a generalized maximum likelihood (ML) estimator to robustly detect signals with unknown noise statistics in multiple-input multiple-output (MIMO) systems.…
cs.DC2019
FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10
Ke He, Bo Liu, Yu Zhang +2
Deep learning and Convolutional Neural Network (CNN) have becoming increasingly more popular and important in both academic and industrial areas in recent years cause they are able…