Hui Li

Affiliations:
  • Shandong University, School of Software, Research Center of Software and Data Engineering, Jinan, China (PhD 2010)


According to our database1, Hui Li authored at least 50 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Electricity behaviors anomaly detection based on multi-feature fusion and contrastive learning.
Inf. Syst., 2025

2024
Semi-Asynchronous Online Federated Crowdsourcing.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multi-Dimensional Fair Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Time interval uncertainty-aware and text-enhanced based disease prediction.
J. Biomed. Informatics, March, 2023

A novel KG-based recommendation model via relation-aware attentional GCN.
Knowl. Based Syst., 2023

Guided node graph convolutional networks for repository recommendation.
Intell. Data Anal., 2023

Temporal Density-aware Sequential Recommendation Networks with Contrastive Learning.
Expert Syst. Appl., 2023

Multi-hop Relational Graph Attention Network for Text-to-SQL Parsing.
Proceedings of the International Joint Conference on Neural Networks, 2023

Sample and Feature Enhanced Few-Shot Knowledge Graph Completion.
Proceedings of the Database Systems for Advanced Applications, 2023

Efficient Log Anomaly Detection Based on Dimension Reduction and Attention Aware TCN.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
McHa: a multistage clustering-based hierarchical attention model for knowledge graph-aware recommendation.
World Wide Web, 2022

A Drug Recommendation Model Based on Message Propagation and DDI Gating Mechanism.
IEEE J. Biomed. Health Informatics, 2022

MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks.
Data Sci. Eng., 2021

2020
Encrypted Network Traffic Classification: A data driven approach.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Performance Modeling of a General GPS Scheduling Under Long Range Dependent Traffic.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Task Assignment with Consensus Decision for Spatial Crowdsouring.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Predicting Hospital Readmission Using Graph Representation Learning Based on Patient and Disease Bipartite Graph.
Proceedings of the Database Systems for Advanced Applications, 2020

Detection of Wrong Disease Information Using Knowledge-Based Embedding and Attention.
Proceedings of the Database Systems for Advanced Applications, 2020

CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing Microtasks.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
An anomaly detection method to improve the intelligent level of smart articles based on multiple group correlation probability models.
Int. J. Crowd Sci., 2019

Heterogeneous network-based chronic disease progression mining.
Big Data Min. Anal., 2019

Patient Cluster Divergence Based Healthcare Insurance Fraudster Detection.
IEEE Access, 2019

Short-Term Load Forecasting of Virtual Machines Based on Improved Neural Network.
IEEE Access, 2019

An Interpretable Disease Onset Predictive Model Using Crossover Attention Mechanism From Electronic Health Records.
IEEE Access, 2019

Exploring the Big Pictorial Data for Tourists' Perception Analysis Through Three Deep Learning Models.
Proceedings of the Fuzzy Systems and Data Mining V, 2019

Feature Assessment and Classification of Diabetes Employing Concept Lattice.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

Biclustering-sim: A Novel Method to Identify Abnormal Co-occurrence Medical Visit Behaviors.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
A Genetic Algorithm Based Data Replica Placement Strategy for Scientific Applications in Clouds.
IEEE Trans. Serv. Comput., 2018

TPGraph: a hospital readmission prediction method based on temporal phenotype graphs.
Int. J. Data Min. Bioinform., 2018

Answer Aggregation of Crowdsourcing Employing an Improved EM-Based Approach.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Resource Scheduling for Energy-Efficient in Cloud-Computing Data Centers.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Fraud Detection of Medical Insurance Employing Outlier Analysis.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2017
Community Outlier Based Fraudster Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Congestion Prediction of Urban Traffic Employing SRBDP.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Penalty Cost Minimization for Multi-tenant Query Deadline Employing Cache Optimization and Log Based Dispatching.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

MTPGraph: A Data-Driven Approach to Predict Medical Risk Based on Temporal Profile Graph.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Healthcare Fraud Detection Based on Trustworthiness of Doctors.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Collaborative Prediction Model of Disease Risk by Mining Electronic Health Records.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

Maximizing the Influence Ranking Under Limited Cost in Social Network.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Maximizing the Availability of Process Services in Mobile Computing Environments.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
An Effective Hybrid Fraud Detection Method.
Proceedings of the Knowledge Science, Engineering and Management, 2015

User Behavioral Context-Aware Service Recommendation for Personalized Mashups in Pervasive Environments.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2008
Running smart process based on goals.
Proceedings of the 12th International Conference on CSCW in Design, 2008

Virtual travel agency based on web services.
Proceedings of the 12th International Conference on CSCW in Design, 2008

Building web domain data integration system with user collaboration.
Proceedings of the 12th International Conference on CSCW in Design, 2008

2007
Automatic Composition of Web Services Based on Rules and Meta-Services.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007


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