Bing Guo
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Author Swipe
View article: Prioritizing interventions for echinococcosis prevention in China: a population attributable fraction analysis
Prioritizing interventions for echinococcosis prevention in China: a population attributable fraction analysis Open
Summary: Background: Despite population-level control efforts, human echinococcosis continues to pose a public health challenge in China. Targeting modifiable risk factors at the individual level could be another recipe, but the priority t…
View article: GCN-based unsupervised community detection with refined structure centers and expanded pseudo-labeled set
GCN-based unsupervised community detection with refined structure centers and expanded pseudo-labeled set Open
Community detection is a classical problem for analyzing the structures of various graph-structured data. An efficient approach is to expand the community structure from a few structure centers based on the graph topology. Considering them…
View article: Relationship between resilience and social trust in nursing homes in Guangzhou, China: a cross-sectional study
Relationship between resilience and social trust in nursing homes in Guangzhou, China: a cross-sectional study Open
Objectives To identify latent resilience profiles among older adults residing in nursing homes and to examine the mediating role of perceived social support in the relationship between resilience and social trust. Design A cross-sectional …
View article: A Service Clustering Based on GCN Unsupervised Community Detection
A Service Clustering Based on GCN Unsupervised Community Detection Open
Web service clustering technique can effectively improves the service retrieval efficiency. Service networks offer new possibilities to handle the huge growth of Web services; Community detection is one of the important tasks in Web data m…
View article: GCN-based weakly-supervised community detection with updated structure centres selection
GCN-based weakly-supervised community detection with updated structure centres selection Open
Community detection is a classic problem in network learning. Semi-supervised network learning requires a certain amount of known samples, while sample annotation is time-consuming and laborious. In particular, when the number of known sam…
View article: Experimental-Numerical Studies of Moisture-Toluene Buffering Capacity of HLC
Experimental-Numerical Studies of Moisture-Toluene Buffering Capacity of HLC Open
International audience
View article: Two-Way Neural Network Performance Prediction Model Based on Knowledge Evolution and Individual Similarity
Two-Way Neural Network Performance Prediction Model Based on Knowledge Evolution and Individual Similarity Open
Predicting students’ academic achievements is an essential issue in education, which can benefit many stakeholders, for instance, students, teachers, managers, etc. Compared with online courses such as MOOCs, students’ academic-related dat…
View article: A Service Recommendation Algorithm Based on Self-Attention Mechanism and DeepFM
A Service Recommendation Algorithm Based on Self-Attention Mechanism and DeepFM Open
This article proposes a recommendation model based on self-attention mechanism and DeepFM service, the model is SelfA-DeepFM. The method firstly constructs the service network with DTc-LDA model to mine the potential relationship between M…
View article: FedRAD: Heterogeneous Federated Learning via Relational Adaptive Distillation
FedRAD: Heterogeneous Federated Learning via Relational Adaptive Distillation Open
As the development of the Internet of Things (IoT) continues, Federated Learning (FL) is gaining popularity as a distributed machine learning framework that does not compromise the data privacy of each participant. However, the data held b…
View article: Optimization of Land Use Regression Modelling of PM2.5 Spatial Variations in Different Seasons across China
Optimization of Land Use Regression Modelling of PM2.5 Spatial Variations in Different Seasons across China Open
Fine particulate matter (PM2.5), one of the main components of haze, is of wide concern for its potential negative health effects. In order to further improve ambient air quality, it is essential to conclude the spatial variability of poll…
View article: Enhancing the Applicability of Satellite Remote Sensing for <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:msub> <a:mrow> <a:mtext>PM</a:mtext> </a:mrow> <a:mrow> <a:mn>2.5</a:mn> </a:mrow> </a:msub> </a:math> Estimation Using Machine Learning Models in China
Enhancing the Applicability of Satellite Remote Sensing for PM 2.5 Estimation Using Machine Learning Models in China Open
Numerous studies and monitoring data indicate that fine particle ( PM 2.5 ) pollution in China is still comparatively severe. Given the sparse and uneven distribution of air quality monitoring base stations established in China and…
View article: Network estimation of multi-dimensional binary variables with application to divorce data
Network estimation of multi-dimensional binary variables with application to divorce data Open
The cross-integration of statistics with social and scientific applications is one of the most popular topics in the past decade. Motivated by divorce data collected from the rural areas of Sichuan Province, China, we propose a new method …
View article: Sampling estimating equation for logistic regression with multi-dimensional missing binary covariates: application to a divorce data
Sampling estimating equation for logistic regression with multi-dimensional missing binary covariates: application to a divorce data Open
This paper focuses on analysing a divorce data collected in Sichuan Province, China. The responses of this divorce data are binary variables. Among 17 covariates, there are 12 binary variables with missing values. Thus, the vectors of cova…
View article: Research on Data Currency Rule and Quality Evaluation
Research on Data Currency Rule and Quality Evaluation Open
Data currency is a temporal reference of data, it reflects the degree to which the data is current with the worldit models. Currency rule is a formal rule extracted from the data set and reflecting the currency order of thedata tuples, it …
View article: Energy consumption optimization of processor scheduling for real-time embedded systems under the constraints of sequential relationship and reliability
Energy consumption optimization of processor scheduling for real-time embedded systems under the constraints of sequential relationship and reliability Open
Execution time, reliability, and energy consumption are the three main performance parameters of processor scheduling for real-time embedded systems. It is very meaningful to optimize the energy optimization of processor scheduling to sati…
View article: Lifecycle Optimization of Smart Contract for Different Scenarios in 6G Network
Lifecycle Optimization of Smart Contract for Different Scenarios in 6G Network Open
Smart contract-based methods are used to implement the blockchain applications. While smart contracts have separate pre-deployed steps, which are suitable for applications that are deployed once and invoked many times. However, there are s…
View article: Neural labeled LDA: a topic model for semi-supervised document classification
Neural labeled LDA: a topic model for semi-supervised document classification Open
Recently, some statistical topic modeling approaches based on LDA have been applied in the field of supervised document classification, where the model generation procedure incorporates prior knowledge to improve the classification perform…
View article: Nakamoto Consensus to Accelerate Supervised Classification Algorithms for Multiparty Computing
Nakamoto Consensus to Accelerate Supervised Classification Algorithms for Multiparty Computing Open
Bitcoin mining consumes tremendous amounts of electricity to solve the hash problem. At the same time, large-scale applications of artificial intelligence (AI) require efficient and secure computing. There are many computing devices in use…
View article: To Delay Instantiation of a Smart Contract to Save Calculation Resources in IoT
To Delay Instantiation of a Smart Contract to Save Calculation Resources in IoT Open
Smart contracts are required to be instantiated in the predeployed stage, which consumes computation resources from then on. It is a big waste in the blockchain whose nodes are composed of IoT devices, as those devices often have limited r…
View article: An Effective Algorithm for Intrusion Detection Using Random Shapelet Forest
An Effective Algorithm for Intrusion Detection Using Random Shapelet Forest Open
Detection of abnormal network traffic is an important issue when builds intrusion detection systems. An effective way to address this issue is time series mining, in which the network traffic is naturally represented as a set of time serie…
View article: A Secure and Effective Construction Scheme for Blockchain Networks
A Secure and Effective Construction Scheme for Blockchain Networks Open
Blockchain technology has emerged as a novel distributed ledger technology, facilitating data sharing and system management securely and efficiently without interventions from a central authority. However, blockchain technology alone is no…
View article: Obesity and activity patterns before and during <scp>COVID</scp>‐19 lockdown among youths in China
Obesity and activity patterns before and during <span>COVID</span>‐19 lockdown among youths in China Open
Summary This study aim to assess changes in obesity and activity patterns among youths in China during the COVID‐19 lockdown. We used the COVID‐19 Impact on lifestyle change survey (COINLICS), a national retrospective survey distributed vi…
View article: Low-power Scheduling Framework for Heterogeneous Architecture under Performance Constraint
Low-power Scheduling Framework for Heterogeneous Architecture under Performance Constraint Open
Today's computer systems are widely integrated with CPU and GPU to achieve considerable performance, but energy consumption of such system directly affects operational cost, maintainability and environmental problem, which has been aroused…
View article: Indoor air formaldehyde (HCHO) pollution of urban coach cabins
Indoor air formaldehyde (HCHO) pollution of urban coach cabins Open
Urban coach cabin is an important indoor environment for long journey, formaldehyde (HCHO) is a carcinogenic gas and damages indoor air quality of cabins. In order to control the HCHO pollution, the air samples inside cabins were analysed …
View article: Model-based testing and evaluation of VOC emission sources and sinks: theory and application
Model-based testing and evaluation of VOC emission sources and sinks: theory and application Open
This paper introduces a framework for the model-based testing and evaluation (MBTE) of indoor VOC emission sources and their impact on indoor air quality. It covers the fundamental concepts, physics-based source models of VOC emissions fro…