Z
Zheng Yan
Researcher at Shanghai Jiao Tong University
Publications - 490
Citations - 12887
Zheng Yan is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 47, co-authored 420 publications receiving 8786 citations. Previous affiliations of Zheng Yan include Helsinki University of Technology & Huawei.
Papers
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Journal ArticleDOI
A Survey on Blockchain-Based Trust Management for Internet of Things
TL;DR: In this article , the authors conduct a serious survey on blockchain-based trust management (BC-TM) in the Internet of Things (IoT) and propose a set of evaluation criteria that should be met by a TMS in IoT.
Journal ArticleDOI
Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective.
TL;DR: A novel robust noisy input GP (NIGP) algorithm based on the probably approximately correct (PAC) Bayes theory is proposed and can achieve both robust performance and improved generalization error upper bound in the face of both uncertain input and output data.
Book ChapterDOI
Game Theoretical Analysis on System Adoption and Acceptance: A Review
TL;DR: The review shows that game theory is a good tool to analyze the adoption and acceptance of a system model and can be used for improving system design towards practical deployment.
Journal ArticleDOI
Mechanism for Security Enhancement in Mobile Application Installation
Peng Zhang,Hanlin Sun,Zheng Yan +2 more
TL;DR: This paper presents process and visual User Interface for mobile users to understand and justify the risks on permissions required by mobile applications during installation and presents two algorithms for calculating the risks.
Proceedings ArticleDOI
Trust Evaluation in Social Networking: A Review
Sihui Zhao,Zheng Yan +1 more
TL;DR: This paper proposes comprehensive criteria with nine aspects for trust evaluation, comparing existing work and analyzing the advantages and disadvantages of the current methods in order to figure out open research issues and motivate future research efforts.