Hongmei Chen

Orcid: 0000-0002-4054-3654

Affiliations:
  • Yunnan University, Kunming, China


According to our database1, Hongmei Chen authored at least 55 papers between 2008 and 2025.

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Bibliography

2025
dGridED-SCPM: A grid-clique-based approach for efficiently mining spatial co-location patterns.
Expert Syst. Appl., 2025

2024
Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions.
IEEE Trans. Knowl. Data Eng., March, 2024

A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension.
Inf. Sci., 2024

Mining Regional High Utility Co-location Pattern.
Proceedings of the Spatial Data and Intelligence - 5th China Conference, 2024

Self-supervised Graph Neural Network Based Community Search over Heterogeneous Information Networks.
Proceedings of the Spatial Data and Intelligence - 5th China Conference, 2024

Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-encoders.
Proceedings of the Spatial Data and Intelligence - 5th China Conference, 2024

Meeting Pattern Detection from Trajectories in Road Network.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Dual-Contrastive Multi-view Clustering Under the Guidance of Global Similarity and Pseudo-label.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Attributed Heterogeneous Graph Embedding with Meta-graph Attention.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023
Continuous Sub-prevalent Co-location Pattern Mining.
Proceedings of the Spatial Data and Intelligence - 4th International Conference, 2023

CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Large Graph Convolutional Networks.
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.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Adaptive Heterogeneous Graph Contrastive Clustering with Multi-similarity.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory.
IEEE Trans. Fuzzy Syst., 2022

Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques.
Inf. Sci., 2022

Mining spatial high-average utility co-location patterns from spatial data sets.
Intell. Data Anal., 2022

Diversified Top-k Spatial Pattern Matching.
Proceedings of the Spatial Data and Intelligence - Third International Conference, 2022

MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion.
Proceedings of the International Joint Conference on Neural Networks, 2022

Mining fuzzy sub-prevalent co-location pattern with dominant feature.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Discovering Prevalent Weighted Co-Location Patterns on Spatial Data Without Candidates.
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.
Expert Syst. Appl., 2021

Parallel Co-location Pattern Mining based on Neighbor-Dependency Partition and Column Calculation.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Deep Attributed Network Embedding Based on the PPMI.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2021 International Workshops, 2021

2020
ESPM: Efficient Spatial Pattern Matching.
IEEE Trans. Knowl. Data Eng., 2020

ESPM: Efficient Spatial Pattern Matching (Extended Abstract).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Mining maximal sub-prevalent co-location patterns.
World Wide Web, 2019

POI Representation Learning by a Hybrid Model.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

A Spatial Co-location Pattern Mining Algorithm Without Distance Thresholds.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Discovering Spatial Co-Location Patterns by Automatically Determining the Instance Neighbor.
Proceedings of the Fuzzy Systems and Data Mining V, 2019

Multi-View Clustering via Nonnegative Matrix Factorization with L<sub>21</sub> Norm.
Proceedings of the Fuzzy Systems and Data Mining V, 2019

2018
Effective lossless condensed representation and discovery of spatial co-location patterns.
Inf. Sci., 2018

Multivariate Time Series Clustering via Multi-relational Community Detection in Networks.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Measuring the Spatio-Temporal Similarity Between Users.
Proceedings of the Web and Big Data, 2018

2017
Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithms.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Link prediction via local structural information in complex networks.
Proceedings of the 13th International Conference on Natural Computation, 2017

Mining High Utility Co-location Patterns Based on Importance of Spatial Region.
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.
Proceedings of the Database Systems for Advanced Applications, 2017

2016
Naïve Bayesian Classification of Uncertain Objects Based on the Theory of Interval Probability.
Int. J. Artif. Intell. Tools, 2016

Top-k probabilistic prevalent co-location mining in spatially uncertain data sets.
Frontiers Comput. Sci., 2016

User-Dependent Multi-relational Community Detection in Social Networks.
Proceedings of the Web Technologies and Applications, 2016

Ontology-Based Interactive Post-mining of Interesting Co-location Patterns.
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.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

SQNR: A System for Querying Nodes and relations in multi-relational social networks.
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.
Proceedings of the Data Science - 30th British International Conference on Databases, 2015

2014
Finding associations-between-groups in multimode networks.
Proceedings of the 2014 International Conference on Behavioral, 2014

2013
Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets.
IEEE Trans. Knowl. Data Eng., 2013

Using Coalitional Games to Detect Communities in Social Networks.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Mining Co-locations from Spatially Uncertain Data with Probability Intervals.
Proceedings of the Web-Age Information Management, 2013

A Game Theory Based Approach for Community Detection in Social Networks.
Proceedings of the Big Data - 29th British National Conference on Databases, 2013

2010
An efficient method of evaluating the distance between two uncertain objects.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

Efficiently Mining Co-Location Rules on Interval Data.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Evaluating the Distance between Two Uncertain Categorical Objects.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2008
Behavior Observation-Based Rival's Private Information Inferring.
Proceedings of the NCM 2008, The Fourth International Conference on Networked Computing and Advanced Information Management, Gyeongju, Korea, September 2-4, 2008, 2008


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