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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.

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Journal ArticleDOI

An Adaptive Network Data Collection System in SDN

TL;DR: This paper proposes an adaptive network data collection system in SDN by automatically selecting proper data collection nodes based on network status in a dynamic way and shows its advantages through comparison with existing works in terms of CPU/memory consumption, storage usage, flow size recovery, and threat perception.
Book ChapterDOI

AdContRep: a privacy enhanced reputation system for MANET content services

TL;DR: This work develops a novel hybrid trust model to evaluate node recommendation trust and content reputation in the context of frequent change of node pseudonyms, based on ephemeral node experiences and/or historical node recommendation behaviors.
Journal ArticleDOI

A multi-area Thevenin equivalent based multi-rate co-simulation for control design of practical LCC HVDC system

TL;DR: A novel improved control strategy based on the concept of virtual impedance is proposed to reduce CFs and to increase the recovery speed of DC system and simulation results of a practical AC/DC grid have well validated the effectiveness of the proposed MATE based multi-rate co-simulation method.
Journal ArticleDOI

Designing pulse-coupled neural networks with spike-synchronization-dependent plasticity rule: image segmentation and memristor circuit application

TL;DR: A spike-synchronization-dependent plasticity (SSDP) rule is proposed based on the existing research foundation of biology and neural network and it is demonstrated that SSDP has greatly improved the image processing capabilities of PCNN.
Journal ArticleDOI

Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance

TL;DR: This article investigates a class of memristive neural networks (MNNs) with time-varying delays and leakage delays via sliding mode control (SMC) with and without control disturbance.