47 citations · 50 across the 5 of their papers we have counts for
5 papers
CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing
Yimeng Liu, Zhiwen Yu, Bin Guo +3
With the rise of crowdsourcing and mobile crowdsensing techniques, a large number of crowdsourcing applications or platforms (CAP) have appeared. In the mean time, CAP-related mode…
From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data
Bin Guo, Huihui Chen, Yan Liu +3
With the development of mobile social networks, more and more crowdsourced data are generated on the Web or collected from real-world sensing. The fragment, heterogeneous, and nois…
CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data
Yi Ouyang, Bin Guo, Xinjiang Lu +3
In recent years, bike-sharing systems have been deployed in many cities, which provide an economical lifestyle. With the prevalence of bike-sharing systems, a lot of companies join…
ActiveCrowd: A Framework for Optimized Multi-Task Allocation in Mobile Crowdsensing Systems
Bin Guo, Yan Liu, Wenle Wu +2
Worker selection is a key issue in Mobile Crowd Sensing (MCS). While previous worker selection approaches mainly focus on selecting a proper subset of workers for a single MCS task…
Energy-Efficient Shortest Path Algorithms for Convergecast in Sensor Networks
John Augustine, Qi Han, Philip Loden +2
We introduce a variant of the capacitated vehicle routing problem that is encountered in sensor networks for scientific data collection. Consider an undirected graph $G=(V \cup \{\…