20 citations · 39 across the 10 of their papers we have counts for
10 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…
Pricing and Revenue Sharing for Secondary Data Market
Hengky Susanto, Bhanu Kaushik, Benyuan Liu +2
Recent advances in technology enable public or commercial establishments and individual data plan subscribers to operate as Wi-Fi providers, offering Internet access. However, the…
Auction-based Incentive Mechanisms for Dynamic Mobile Ad-Hoc Crowd Service
Honggang Zhang, Benyuan Liu, Hengky Susanto +1
We investigate a type of emerging user-assisted mobile applications or services, referred to as Dynamic Mobile Ad-hoc Crowd Service (DMACS), such as collaborative streaming via sma…
Design and Analysis of Coalitions in Data Swarming Systems
Honggang Zhang, Sudarshan Vasudevan
We design and analyze a mechanism for forming coalitions of peers in a data swarming system where peers have heterogeneous upload capacities. A coalition is a set of peers that exp…
A Game Theoretical Approach to Modeling Information Dissemination in Social Networks
Dmitry Zinoviev, Vy Duong, Honggang Zhang
One major function of social networks (e.g., massive online social networks) is the dissemination of information such as scientific knowledge, news, and rumors. Information can be…