Kun Zhang

Affiliations:
  • Shandong University, Jinan, China
  • Dareway Software Co., Ltd., Jinan, China


According to our database1, Kun Zhang authored at least 36 papers between 2010 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Transfer-Learning-Based Gaussian Mixture Model for Distributed Clustering.
IEEE Trans. Cybern., November, 2023

Transfer Learning-Based Collaborative Multiview Clustering.
IEEE Trans. Fuzzy Syst., April, 2023

Guided Filter-Based Fuzzy Clustering for General Data Analysis.
Int. J. Fuzzy Syst., 2023

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

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

MSIPA: Multi-Scale Interval Pattern-Aware Network for ICU Transfer Prediction.
ACM Trans. Knowl. Discov. Data, 2022

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

Soft Subspace Fuzzy Clustering with Dimension Affinity Constraint.
Int. J. Fuzzy Syst., 2022

2021
GGATB-LSTM: Grouping and Global Attention-based Time-aware Bidirectional LSTM Medical Treatment Behavior Prediction.
ACM Trans. Knowl. Discov. Data, 2021

Optimizing Smart Grid Operations from the Demand Side.
AI Mag., 2021

2020
Medical treatment migration behavior prediction and recommendation based on health insurance data.
World Wide Web, 2020

Medical Treatment Migration Prediction Based on GCN via Medical Insurance Data.
IEEE J. Biomed. Health Informatics, 2020

SoftKG: Building A Software Development Knowledge Graph through Wikipedia Taxonomy.
Proceedings of the 2020 IEEE World Congress on Services, 2020

A Co-Attention Model with Sequential Behaviors and Side Information for Session- based Recommendation.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

An Optimized Approach for Community Evolution.
Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

PIDS: An Intelligent Electric Power Management Platform.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Service Load Prediction based on User Knowledge Level Evolution for Software Development Knowledge Base.
Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019
Intelligent Decision Support for Improving Power Management.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM.
Proceedings of the Database Systems for Advanced Applications, 2019

Power Demand Response Incentive Pricing Model.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Health Insurance Anomaly Detection Based on Dynamic Heterogeneous Information Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Survival Prediction from Longitudinal Health Insurance Data using Graph Pattern Mining.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A Survival Certification Model Based on Active Learning over Medical Insurance Data.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

WRL: A Combined Model for Short-Term Load Forecasting.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Medical Treatment Migration Prediction in Healthcare via Attention-Based Bidirectional GRU.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

2018
A Clustering Algorithm for Automatically Determining the Number of Clusters Based on Coefficient of Variation.
Proceedings of the 2nd International Conference on Big Data Research, 2018

Adaptive Data Sampling Mechanism for Process Object.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Outcome-based school-enterprise cooperative software engineering training.
Proceedings of ACM Turing Celebration Conference - China, 2018

2015
Static Group Privacy Protection Mechanism Based on Cloud Model.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2013
Data Combination Privacy Preservation Adjusting Mechanism for Software as a Service.
Proceedings of the IEEE International Conference on Systems, 2013

Policy-Based Customized Privacy Preserving Mechanism for SaaS Applications.
Proceedings of the Grid and Pervasive Computing - 8th International Conference, 2013

2011
Data Privacy Preservation during Schema Evolution for Multi-tenancy Applications in Cloud Computing.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

A New Privacy-Preserving Scheme DOSPA for SaaS.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

A New QoS Prediction Approach Based on User Clustering and Regression Algorithms.
Proceedings of the IEEE International Conference on Web Services, 2011

2010
A New Data Integrity Verification Mechanism for SaaS.
Proceedings of the Web Information Systems and Mining - International Conference, 2010


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