Mobile Crowdsourcing

Jie Wu: He is the Laura H. Carnell Professor at Temple University and the Director of the Center for Networked Computing. He is a Fellow of the AAAS and the IEEE. His research interests focus on Mobile Computing and Wireless Networks, Cloud Computing, and Applied Machine Learning.En Wang: He is a Full Professor in the Department of Computer Science and Technology at Jilin University. His current research focuses on Mobile Computing, Crowd Intelligence, and Data Mining.

• Crowdsourcing as a Future Collaborative Computing Paradigm.- Urban Mobility-Driven Crowdsensing: Recent Advances in Machine Learning Designs and Ubiquitous Applications.- Unknown User Recruitment in Mobile Crowdsourcing.- Quality-Aware Incentive Mechanism for Mobile Crowdsourcing.- Incentive mechanism design for mobile crowdsourcing without verification.- Stable Worker-Task Assignment in Mobile Crowdsensing Applications.- Spatio temporal Task Allocation in Mobile Crowdsensing.- Joint Data Collection and Truth Inference in Spatial Crowdsourcing.- Cost-quality Aware Compressive Mobile Crowdsensing.- Information Integrity in Participatory Crowd-Sensing via Robust Trust Models.- AI-Driven Attack Modeling and Defence Strategies in Mobile Crowdsensing: A special Case Study on Fake Tasks.- Traceable and Secure Data Sharing in Mobile Crowdsensing.- User Privacy Protection in MCS: Threats, Solutions and Open Issues.- CrowdsourcingThrough TinyML as aWay to Engage End-users in IoT Solutions.- Health Crowd Sensing and Computing: From Crowdsourced Digital Health Footprints to Population Health Intelligence.- Crowdsourcing Applications and Techniques in Computer Vision.- Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study.