activity
20172020
most citedAuxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

23 citations · 46 across the 5 of their papers we have counts for

collaborators

9 papers

cs.LG202023 cited

Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

Wei Shen, Xiaonan He, Chuheng Zhang +3

In mobile crowdsourcing (MCS), the platform selects participants to complete location-aware tasks from the recruiters aiming to achieve multiple goals (e.g., profit maximization, e…

stat.AP20202 cited

Enabling Cost-Effective Population Health Monitoring By Exploiting Spatiotemporal Correlation: An Empirical Study

Dawei Chen, Jiangtao Wang, Wenjie Ruan +2

Because of its important role in health policy-shaping, population health monitoring (PHM) is considered a fundamental block for public health services. However, traditional public…

eess.SP2019

Design and Performance Analysis of Multi-scale NOMA for 5G Positioning

Lu Yin, Jiameng Cao, Zhongliang Deng +4

This paper presents a feasibility study for a novel positioning-communication integrated signal called Multi-Scale Non-Orthogonal Multiple Access (MS-NOMA) for 5G positioning. One…

cs.CR2019

Biometric Blockchain: A Secure Solution for Intelligent Vehicle Data Sharing

Bing Xu, Tobechukwu Agbele, Qiang Ni +1

The intelligent vehicle (IV) has become a promising technology that could revolutionize our life in smart cities sooner or later. However, it yet suffers from many security vulnera…

cs.NI2018

Coverage and Handoff Analysis of 5G Fractal Small Cell Networks

Jiaqi Chen, Xiaohu Ge, Qiang Ni

It is anticipated that much higher network capacity will be achieved by the fifth generation (5G) small cell networks incorporated with the millimeter wave (mmWave) technology. How…

cs.IT2018

Low-Power Wide-Area Networks for Sustainable IoT

Zhijin Qin, Frank Y. Li, Geoffrey Ye Li +2

Low-power wide-area (LPWA) networks are attracting extensive attention because of their abilities to offer low-cost and massive connectivity to Internet of Things (IoT) devices dis…