7 citations · 16 across the 5 of their papers we have counts for
8 papers
DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar
Yue Sun, Honggang Zhang, Zhuoming Huang +1
Recent research has shown that mmWave radar sensing is effective for object detection in low visibility environments, which makes it an ideal technique in autonomous navigation sys…
3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning
Yue Sun, Zhuoming Huang, Honggang Zhang +2
mmWave radar has been shown as an effective sensing technique in low visibility, smoke, dusty, and dense fog environment. However tapping the potential of radar sensing to reconstr…
Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images
Qilei Chen, Ping Liu, Jing Ni +3
Diabetic retinopathy (DR) is a primary cause of blindness in working-age people worldwide. About 3 to 4 million people with diabetes become blind because of DR every year. Diagnosi…
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing
Zhi Cao, Honggang Zhang, Yu Cao +1
We are interested in the optimal scheduling of a collection of multi-component application jobs in an edge computing system that consists of geo-distributed edge computing nodes co…
UAV-aided urban target tracking system based on edge computing
Yajun Liu, Congxu Zhu, Xiaoheng Deng +5
Target tracking is an important issue of social security. In order to track a target, traditionally a large amount of surveillance video data need to be uploaded into the cloud for…
A Game-theoretic Framework for Revenue Sharing in Edge-Cloud Computing System
Zhi Cao, Honggang Zhang, Benyuan Liu +1
We introduce a game-theoretic framework to ex- plore revenue sharing in an Edge-Cloud computing system, in which computing service providers at the edge of the Internet (edge provi…