Data fusion in cyber-physical-social systems: State-of-the-art and perspectives

P Wang, LT Yang, J Li, J Chen, S Hu - Information Fusion, 2019 - Elsevier
Abstract Cyber-Physical-Social systems (CPSSs) are the extension of Cyber-Physical
systems (CPS), which seamlessly integrate cyber space, physical space and social space …

Acceptance-aware mobile crowdsourcing worker recruitment in social networks

L Wang, D Yang, Z Yu, Q Han, E Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the increasing prominence of smart mobile devices, an innovative distributed
computing paradigm, namely Mobile Crowdsourcing (MCS), has emerged. By directly …

Game-theoretic algorithm designs and analysis for interactions among contributors in mobile crowdsourcing with word of mouth

R Wang, F Zeng, L Yao, J Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Word-of-Mouth (WoM) mode, as a new mode of task sensing in crowdsourcing, shows high
efficiency in building contributor groups. To better tap the potential of WoM mobile …

Collaborative mobile crowdsensing in opportunistic D2D networks: A graph-based approach

L Wang, Z Yu, D Yang, T Ku, B Guo, H Ma - ACM Transactions on Sensor …, 2019 - dl.acm.org
With the remarkable proliferation of smart mobile devices, mobile crowdsensing has
emerged as a compelling paradigm to collect and share sensor data from surrounding …

BciNet: A biased contest-based crowdsourcing incentive mechanism through exploiting social networks

Y Wang, W Dai, Q Jin, J Ma - IEEE Transactions on Systems …, 2018 - ieeexplore.ieee.org
Crowdsourcing has proved to be a splendid tool to aggregate the knowledge from a pool of
individuals in order to perform abundant microtasks efficiently. Recently, with the explosive …

Towards Estimating Missing Emotion Self-reports Leveraging User Similarity: A Multi-task Learning Approach

S Ghosh, S Mandi, S Sen, B Mitra, P De - Proceedings of the CHI …, 2024 - dl.acm.org
The Experience Sampling Method (ESM) is widely used to collect emotion self-reports to
train machine learning models for emotion inference. However, as ESM studies are time …

Task execution quality maximization for mobile crowdsourcing in geo-social networks

L Wang, Z Yu, D Yang, T Wang, E Wang… - Proceedings of the …, 2021 - dl.acm.org
With the rapid development of smart devices and high-quality wireless technologies, mobile
crowdsourcing (MCS) has been drawing increasing attention with its great potential in …

Crowd‐Sourcing Information Dissemination Based on Spatial Behavior and Social Networks

Y Cheng - Mobile Information Systems, 2021 - Wiley Online Library
In the context of today's network era, rich social networks and convenient network
communication make different individuals and groups interact and transmit information in …

The cityspin platform: A CPSS environment for city-wide infrastructures

A Azzam, PR Aryan, A Cecconi, C Di Ciccio… - CEUR Workshop …, 2019 - iris.uniroma1.it
Abstract Cyber-physical Social System (CPSS) are complex systems that span the
boundaries of the cyber, physical and social spheres. They play an important role in a …

Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study

L Wang, Y Cheng, D Yang, H Xu, X Wang… - … : From Theory to Practice, 2023 - Springer
Mobile Crowdsourcing (MCS), a human-centric promising paradigm for performing location-
based tasks, has drawn rising attention from both academia and industry. In MCS …