Hongmei Chen

Orcid: 0000-0002-4054-3654

Affiliations:

Yunnan University, Kunming, China

According to our database¹, Hongmei Chen authored at least 43 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2024

2023

Continuous Sub-prevalent Co-location Pattern Mining.

[BibT_eX]

[DOI]

Qilong Wang

Hongmei Chen

Lizhen Wang

Proceedings of the Spatial Data and Intelligence - 4th International Conference, 2023

A multi-view anomalous co-location detection framework considering both intra- and inter-feature couplings.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Mining spatial high-average utility co-location patterns from spatial data sets.

[BibT_eX]

[DOI]

Intell. Data Anal., 2022

Diversified Top-k Spatial Pattern Matching.

[BibT_eX]

[DOI]

Jiahua Xie

Hongmei Chen

Lizhen Wang

Proceedings of the Spatial Data and Intelligence - Third International Conference, 2022

MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Mining fuzzy sub-prevalent co-location pattern with dominant feature.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Discovering Prevalent Weighted Co-Location Patterns on Spatial Data Without Candidates.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Parallel Co-location Pattern Mining based on Neighbor-Dependency Partition and Column Calculation.

[BibT_eX]

[DOI]

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Deep Attributed Network Embedding Based on the PPMI.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications. DASFAA 2021 International Workshops, 2021

2020

ESPM: Efficient Spatial Pattern Matching.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

ESPM: Efficient Spatial Pattern Matching (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Mining maximal sub-prevalent co-location patterns.

[BibT_eX]

[DOI]

World Wide Web, 2019

POI Representation Learning by a Hybrid Model.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

A Spatial Co-location Pattern Mining Algorithm Without Distance Thresholds.

[BibT_eX]

[DOI]

Vanha Tran

Lizhen Wang

Hongmei Chen

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Discovering Spatial Co-Location Patterns by Automatically Determining the Instance Neighbor.

[BibT_eX]

[DOI]

Vanha Tran

Lizhen Wang

Hongmei Chen

Proceedings of the Fuzzy Systems and Data Mining V, 2019

Multi-View Clustering via Nonnegative Matrix Factorization with L<sub>21</sub> Norm.

[BibT_eX]

[DOI]

Proceedings of the Fuzzy Systems and Data Mining V, 2019

2018

Effective lossless condensed representation and discovery of spatial co-location patterns.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Multivariate Time Series Clustering via Multi-relational Community Detection in Networks.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Measuring the Spatio-Temporal Similarity Between Users.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data, 2018

2017

Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Link prediction via local structural information in complex networks.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Natural Computation, 2017

Mining High Utility Co-location Patterns Based on Importance of Spatial Region.

[BibT_eX]

[DOI]

Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

Efficiently Mining High Utility Co-location Patterns from Spatial Data Sets with Instance-Specific Utilities.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2017

2016

Naïve Bayesian Classification of Uncertain Objects Based on the Theory of Interval Probability.

[BibT_eX]

[DOI]

Hongmei Chen

Weiyi Liu

Lizhen Wang

Int. J. Artif. Intell. Tools, 2016

Top-k probabilistic prevalent co-location mining in spatially uncertain data sets.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2016

User-Dependent Multi-relational Community Detection in Social Networks.

[BibT_eX]

[DOI]

Peizhong Yang

Lihua Zhou

Hongmei Chen

Proceedings of the Web Technologies and Applications, 2016

Ontology-Based Interactive Post-mining of Interesting Co-location Patterns.

[BibT_eX]

[DOI]

Xuguang Bao

Lizhen Wang

Hongmei Chen

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015

A Coalition Formation Game Theory-Based Approach for Detecting Communities in Multi-relational Networks.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 16th International Conference, 2015

SQNR: A System for Querying Nodes and relations in multi-relational social networks.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

A Fast Approach for Detecting Overlapping Communities in Social Networks Based on Game Theory.

[BibT_eX]

[DOI]

Proceedings of the Data Science - 30th British International Conference on Databases, 2015

2014

Finding associations-between-groups in multimode networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Behavioral, 2014

2013

Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets.

[BibT_eX]

[DOI]

Lizhen Wang

Pingping Wu

Hongmei Chen

IEEE Trans. Knowl. Data Eng., 2013

Using Coalitional Games to Detect Communities in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Mining Co-locations from Spatially Uncertain Data with Probability Intervals.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management, 2013

A Game Theory Based Approach for Community Detection in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Big Data - 29th British National Conference on Databases, 2013

2010

An efficient method of evaluating the distance between two uncertain objects.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

Efficiently Mining Co-Location Rules on Interval Data.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Evaluating the Distance between Two Uncertain Categorical Objects.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Hongmei Chen

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