33 citations · 93 across the 15 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 23 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.AP2020★ 2 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…