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 trust management for Internet of Things
TL;DR: This paper investigates the properties of trust, proposes objectives of IoT trust management, and provides a survey on the current literature advances towards trustworthy IoT to propose a research model for holistic trust management in IoT.
Journal ArticleDOI
A survey on machine learning for data fusion
TL;DR: This paper offers a detailed introduction to the background of data fusion and machine learning in terms of definitions, applications, architectures, processes, and typical techniques, and proposes a number of requirements to review and evaluate the performance of existing fusion methods based on machine learning.
Journal ArticleDOI
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework
TL;DR: A conceptual smart pre-copy live migration approach is presented for VM migration that can estimate the downtime after each iteration to determine whether to proceed to the stop-and-copy stage during a system failure or an attack on a fog computing node.
Journal ArticleDOI
Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors
Ming Wang,Zheng Yan,Ting Wang,Pingqiang Cai,Siyu Gao,Yi Zeng,Changjin Wan,Hong Wang,Liang Pan,Jiancan Yu,Shaowu Pan,Ke He,Jie Lu,Xiaodong Chen +13 more
TL;DR: A bioinspired data fusion architecture that can perform human gesture recognition by integrating visual data with somatosensory data from skin-like stretchable strain sensors made from single-walled carbon nanotubes is reported.
Patent
System and method for controlled copying and moving of content between devices and domains based on conditional encryption of content key depending on usage state
TL;DR: In this paper, a system and method for allowing content providers to protect against widespread copying of their content, while enabling them to give their customers more freedom in the way they use the content.