15 citations · 27 across the 5 of their papers we have counts for
5 papers
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions
Xu Chu, Yang Lin, Jingyue Gao +3
Drug-drug interactions (DDIs) are a major cause of preventable hospitalizations and deaths. Predicting the occurrence of DDIs helps drug safety professionals allocate investigative…
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing
Leye Wang, Wenbin Liu, Daqing Zhang +3
Sparse Mobile CrowdSensing (MCS) is a novel MCS paradigm where data inference is incorporated into the MCS process for reducing sensing costs while its quality is guaranteed. Since…
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing
Jiangtao Wang, Feng Wang, Yasha Wang +3
Worker recruitment is a crucial research problem in Mobile Crowd Sensing (MCS). While previous studies rely on a specified platform with a pre-assumed large user pool, this paper l…
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
Jiangtao Wang, Feng Wang, Yasha Wang +5
Task allocation is a major challenge in Mobile Crowd Sensing (MCS). While previous task allocation approaches follow either the opportunistic or participatory mode, this paper prop…
Geographic Differential Privacy for Mobile Crowd Coverage Maximization
Leye Wang, Gehua Qin, Dingqi Yang +2
For real-world mobile applications such as location-based advertising and spatial crowdsourcing, a key to success is targeting mobile users that can maximally cover certain locatio…