Zhongmin Yan

Orcid: 0000-0002-5271-5417

According to our database1, Zhongmin Yan authored at least 70 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Proactive Auto-Scaling for Delay-Sensitive IoT Applications Over Edge Clouds.
IEEE Internet Things J., March, 2024

Few-shot partial multi-label learning with synthetic features network.
Knowl. Inf. Syst., February, 2024

2023
MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction.
Comput. Biol. Medicine, September, 2023

Meta Multi-Instance Multi-Label learning by heterogeneous network fusion.
Inf. Fusion, June, 2023

Few-shot partial multi-label learning via prototype rectification.
Knowl. Inf. Syst., April, 2023

KLECA: knowledge-level-evolution and category-aware personalized knowledge recommendation.
Knowl. Inf. Syst., March, 2023

Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Differential Gene Expression Prediction by Ensemble Deep Networks on Histone Modification Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

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

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

Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Causal Discovery by Graph Attention Reinforcement Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Proactive Auto-scaling For Delay-sensitive Service Providers Over Public Clouds.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Multi-View Graph Contrastive Learning for Urban Region Representation.
Proceedings of the International Joint Conference on Neural Networks, 2023

FedADP: Communication-Efficient by Model Pruning for Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2023

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

A Collaborative Cross-Attention Drug Recommendation Model Based on Patient and Medical Relationship Representations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

FSFP: A Fine-Grained Online Service System Performance Fault Prediction Method Based on Cross-attention.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

Test Case Level Predictive Mutation Testing Combining PIE and Natural Language Features.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

Long-Tail Cross Modal Hashing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection.
J. Comput. Sci. Technol., 2022

Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation.
Data Sci. Eng., 2022

Towards AI-Empowered Crowdsourcing.
CoRR, 2022

Tree sketch: An accurate and memory-efficient sketch for network-wide measurement.
Comput. Commun., 2022

Differentially expressed genes prediction by multiple self-attention on epigenetics data.
Briefings Bioinform., 2022

Cross-modal Knowledge Graph Contrastive Learning for Machine Learning Method Recommendation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

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

Few-shot Partial Multi-label Learning with Data Augmentation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Research on Active Detection Method of Network Congestion.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Cost-effective multi-instance multilabel active learning.
Int. J. Intell. Syst., 2021

DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

The Algorithm of Multi-source to Multi-sink Traffic scheduling.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Few-Shot Partial-Label Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Few-Shot Partial Multi-Label Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

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

Recommended System: Attentive Neural Collaborative Filtering.
IEEE Access, 2020

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

Multi-interest Aware Recommendation in CrowdIntell Network.
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

Predicting Prescriptions via DSCA-Dual Sequences with Cross Attention Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Collaborative Filtering: Graph Neural Network with Attention.
Proceedings of the Web Information Systems and Applications, 2020

2019
Abnormal Group-Based Joint Medical Fraud Detection.
IEEE Access, 2019

Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Author Name Disambiguation Using Graph Node Embedding Method.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

Fraudster Detection Based on Modularity Optimization Algorithm.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 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

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

2018
Fraudster Detection Based on Label Propagation Algorithm.
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
Process framework extracting and process recommendation based on BPD similarity clustering.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

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

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

Matching Reviews to Object Based on 2-Stage CRF.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Mining Event Associations Using Structured Data and Classifiers.
Proceedings of the 12th Web Information System and Application Conference, 2015

Based on Entities Behavior Patterns of Heterogeneous Data Semantic Conflict Detection.
Proceedings of the 12th Web Information System and Application Conference, 2015

SLOF: Identify Density-Based Local Outliers in Big Data.
Proceedings of the 12th Web Information System and Application Conference, 2015

2014
Web Reviews and Events Matching Based on Event Feature Segments and Semi-Markov Conditional Random Fields.
J. Softw., 2014

Web Event Topic Analysis by Topic Feature Clustering and Extended LDA Model.
J. Softw., 2014

Multi-tenant Service Composition Based on Granularity Computing.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013
Constructing Domain Ontology of E-Commerce for Market Intelligence.
Proceedings of the 2013 10th Web Information System and Application Conference, 2013

2012
Robust Web Data Extraction: A Novel Approach Based on Minimum Cost Script Edit Model.
Proceedings of the Web Information Systems and Mining - International Conference, 2012

A Novel URL Assignment Model Based on Multi-objective Decision Making Method.
Proceedings of the Ninth Web Information Systems and Applications Conference, 2012

2011
A Framework for Incremental Deep Web Crawler Based on URL Classification.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

Concluding Pattern of Web Page Based on String Pattern Matching.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

2010
MI-WDIS: web data integration system for market intelligence.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2008
An Increment-Based Random Walk Approach to Sampling Hidden Databases.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2001
Efficient Mining of Association Rules by Reducing the Number of Passes over the Database.
J. Comput. Sci. Technol., 2001


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