74 citations · 136 across the 20 of their papers we have counts for
20 papers
Systematically Evaluation of Challenge Obfuscated APUFs
Yansong Gao, Jianrong Yao, Lihui Pang +4
As a well-known physical unclonable function that can provide huge number of challenge response pairs (CRP) with a compact design and fully compatibility with current electronic fa…
PoDT: A Secure Multi-chains Consensus Scheme Against Diverse Miners Behaviors Attacks in Blockchain Networks
Wenbo Zhang, Tao Wang, Jingyu Feng
As cross-chain technologies make the interactions among different blockchains (hereinafter "chains") possible, multi-chains consensus is becoming more and more important in blockch…
Blockchain-assisted Undisclosed IIoT Vulnerabilities Trusted Sharing Protection with Dynamic Token
Wenbo Zhang, Jing Zhang, Yifei Shi +1
With the large-scale deployment of industrial internet of things (IIoT) devices, the number of vulnerabilities that threaten IIoT security is also growing dramatically, including a…
Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing
Mengran Liu, Weiwei Fang, Xiaodong Ma +3
Deep Neural Networks (DNNs) have achieved remarkable success in many computer vision tasks recently, but the huge number of parameters and the high computation overhead hinder thei…
An Intelligent CNN-VAE Text Representation Technology Based on Text Semantics for Comprehensive Big Data
Genggeng Liu, Canyang Guo, Lin Xie +3
In the era of big data, a large number of text data generated by the Internet has given birth to a variety of text representation methods. In natural language processing (NLP), tex…
An Intelligent Prediction System for Mobile Source Localization Using Time Delay Measurements
Hengnian Qi, Xiaoping Wu, Naixue Xiong
In this paper, we introduce an intelligent prediction system for mobile source localization in industrial Internet of things. The position and velocity of mobile source are jointly…
An Energy Efficient Authentication Scheme using Chebyshev Chaotic Map for Smart Grid Environment
Liping Zhang, Yue Zhu, Wei Ren +2
As one of the important applications of Smart grid, charging between electric vehicles has attracted much attention. However, authentication between vehicle users and an aggregator…
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT
Anmin Fu, Xianglong Zhang, Naixue Xiong +2
Due to the strong analytical ability of big data, deep learning has been widely applied to train the collected data in industrial IoT. However, for privacy issues, traditional data…
Identify Influential Nodes in Online Social Network for Brand Communication
Yuxin Mao, Lujie Zhou, Naixue Xiong
Online social networks have become incredibly popular in recent years, which prompts an increasing number of companies to promote their brands and products through social media. Th…
COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining
Yixian Zhang, Jieren Chen, Boyi Liu +6
With the spread and development of new epidemics, it is of great reference value to identify the changing trends of epidemics in public emotions. We designed and implemented the CO…
GJRA: A Global Joint Resource Allocation Scheme for UAV service of PEC in IIoTs
Jin Wang, Caiyan Jin, Qiang Tang +1
The Industrial Internet of Things (IIoT) is an emerging paradigm to make industrial operations more efficient and intelligent by deploying a massive number of wireless devices to i…
DE/RM-MEDA: A New Hybrid Multi-Objective Generator
Abel Sa J. R Malano, Guanjun Du, Guoxiang Tong +1
Under the condition of Karush-Kuhn-Tucker, the Pareto Set (PS) in the decision area of an m-objective optimization problem is a piecewise continuous (m-1)-D manifold. For illustrat…
U-net super-neural segmentation and similarity calculation to realize vegetation change assessment in satellite imagery
Chunxue Wu, Bobo Ju, Naixue Xiong +5
Vegetation is the natural linkage connecting soil, atmosphere and water. It can represent the change of land cover to a certain extent and serve as an indicator for global change r…
Graph Hierarchical Convolutional Recurrent Neural Network (GHCRNN) for Vehicle Condition Prediction
Mingming Lu, Kunfang Zhang, Haiying Liu +1
The prediction of urban vehicle flow and speed can greatly facilitate people's travel, and also can provide reasonable advice for the decision-making of relevant government departm…
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service
Mingming Lu, Dingwu Tan, Naixue Xiong +2
The online programing services, such as Github,TopCoder, and EduCoder, have promoted a lot of social interactions among the service users. However, the existing social interactions…
A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
Bing Lin, Fangning Zhu, Jianshan Zhang +4
Compared to traditional distributed computing environments such as grids, cloud computing provides a more cost-effective way to deploy scientific workflows. Each task of a scientif…
A novel particle swarm optimizer with multi-stage transformation and genetic operation for VLSI routing
Genggeng Liu, Zhen Zhuang, Wenzhong Guo +2
As the basic model for very large scale integration (VLSI) routing, the Steiner minimal tree (SMT) can be used in various practical problems, such as wire length optimization, cong…
Convergence Analysis of a Cooperative Diffusion Gauss-Newton Strategy
Mou Wu, Naixue Xiong, Liansheng Tan
In this paper, we investigate the convergence performance of a cooperative diffusion Gauss-Newton (GN) method, which is widely used to solve the nonlinear least squares problems (N…
An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance
Wenxi Liu, Yuanlong Yu, Chun-Yang Zhang +2
In recent years, crowd analysis is important for applications such as smart cities, intelligent transportation system, customer behavior prediction, and visual surveillance. Unders…
RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density
Yangli-ao Geng, Qingyong Li, Rong Zheng +3
Discovering clusters from a dataset with different shapes, densities, and scales is a known challenging problem in data clustering. In this paper, we propose the RElative COre MErg…