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Prediction-Aware Adaptive Task Assignment for Spatial Crowdsourcing
Qingshun Wu
, Yafei Li
*
, Guanglei Zhu
, Baolong Mei
,
Jianliang Xu
, Mingliang Xu
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
19
Citations (Scopus)
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Dive into the research topics of 'Prediction-Aware Adaptive Task Assignment for Spatial Crowdsourcing'. Together they form a unique fingerprint.
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Keyphrases
Task Assignment
100%
Spatial Crowdsourcing
100%
Adaptive Scheduling
100%
Spatial Task
75%
Spatio-temporal Constraints
50%
Task Prediction
50%
Rapid Development
25%
Task Allocation
25%
Spatiotemporal Distribution
25%
Wireless Networks
25%
On-state Current
25%
Smart Devices
25%
Deep Reinforcement Learning (deep RL)
25%
Mobile Workers
25%
Two-stage Framework
25%
Network Device
25%
Food Delivery
25%
Reinforcement Learning Approach
25%
Parcel Delivery
25%
Platform Revenue
25%
Future Status
25%
Spatial-temporal Graph Convolutional Network (ST-GCN)
25%
Bipartite Graph Matching
25%
Platform Utility
25%
Current Assignment
25%
Computer Science
Temporal Constraint
100%
Rapid Development
50%
Learning Approach
50%
Wireless Network
50%
Bipartite Graph
50%
Graph Matching
50%
Smart Device
50%
Temporal Graph
50%
Graph Convolutional Network
50%
Deep Reinforcement Learning
50%
Current Assignment
50%