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Yongrui Qin
Researcher at University of Huddersfield
Publications - 92
Citations - 1855
Yongrui Qin is an academic researcher from University of Huddersfield. The author has contributed to research in topics: The Internet & XML. The author has an hindex of 16, co-authored 92 publications receiving 1482 citations. Previous affiliations of Yongrui Qin include University of Southern Queensland & University of Adelaide.
Papers
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Journal ArticleDOI
Fog Computing for Sustainable Smart Cities: A Survey
Charith Perera,Yongrui Qin,Julio Cezar Estrella,Stephan Reiff-Marganiec,Athanasios V. Vasilakos +4 more
TL;DR: Several inspiring use case scenarios of Fog computing are described, several major functionalities that ideal Fog computing platforms should support and a number of open challenges toward implementing them are identified to shed light on future research directions on realizing Fog computing for building sustainable smart cities.
Journal ArticleDOI
When things matter
Yongrui Qin,Quan Z. Sheng,Nickolas Falkner,Schahram Dustdar,Hua Wang,Athanasios V. Vasilakos +5 more
TL;DR: The main techniques and state-of-the-art research efforts in IoT from data-centric perspectives are reviewed, including data stream processing, data storage models, complex event processing, and searching in IoT.
Journal ArticleDOI
Fog computing security: a review of current applications and security solutions
TL;DR: The impact of security issues and possible solutions are determined, providing future security-relevant directions to those responsible for designing, developing, and maintaining Fog systems.
Proceedings ArticleDOI
Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization
TL;DR: A Collaborative Filtering method based on Non-negative Tensor Factorization, a generalization of the Matrix Factorization approach that exploits a high-order tensor instead of traditional User-Location matrix to model multi-dimensional contextual information to improve the recommendation accuracy.
Posted Content
Fog Computing for Sustainable Smart Cities: A Survey
Charith Perera,Yongrui Qin,Julio Cezar Estrella,Stephan Reiff-Marganiec,Athanasios V. Vasilakos +4 more
TL;DR: Several inspiring use case scenarios of Fog computing are described, several major functionalities that ideal Fog computing platforms should support and a number of open challenges towards implementing them are identified to shed light on future research directions on realizing Fog computing for building sustainable smart cities.