杨培忠｜云南大学｜学者主页

2026

Mining spatiotemporal dominant co-location patterns

Jiangchuan Mei, Peizhong Yang, Hongmei Chen, Lizhen Wang

Expert Systems With Applications，Vol. 298

DOI

2026

Hierarchical cross-view contrastive learning for heterogeneous graph

Qun Zhang, Hongmei Chen, Peizhong Yang, Lizhen Wang, Lihua Zhou

Expert Systems With Applications，Vol. 299

DOI

2026

面向网络覆盖和用户需求的5G基站选址方法

岳昆，黄文辉，王笳辉，杨培忠，杨晰，段亮

《计算机工程》

2026

HGMG: Enhancing heterogeneous graph embedding by meta-graph learning

Xinwang Ouyang, Hongmei Chen, Peizhong Yang, Zhou Lihua

Pattern Recognition

DOI

2026

Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases

Liuwei Li, Peizhong Yang, Lizhen Wang, Hongmei Chen

Data Science and Engineering

DOI

2026

Spatio-Temporal Semantic-Enhanced Contrastive Learning for Friend Recommendation

Yixin Ruan, Hongmei Chen, Peizhong Yang, Lizhen Wang

Lecture notes in computer science

DOI

2026

Discovering Rare Group-Oriented Spatio-Temporal Sequential Patterns

Yujing Gao, Peizhong Yang, Hongmei Chen, Lizhen Wang

IEEE International Conference on Big Data and Artificial Intelligence (BDAI)

DOI

2026

A Spectral Gap-Guided Eulerian Graph Rewiring Method for Heterogeneous Graph Embedding

Jin Zhao, Hongmei Chen, Peizhong Yang, Lizhen Wang

Lecture notes in computer science

DOI

2026

A Decoder-Enhanced Autoencoder for Heterogeneous Graph Representation Learning

Yudi Zeng, Hongmei Chen, Lizhen Wang, Peizhong Yang

DOI

2026

Mining co-location evolving sequences from spatio-temporal data

Wenxin Duan, Peizhong Yang, Hongmei Chen, Lizhen Wang

Knowledge-Based Systems

DOI

2026

Maximal Prevalent Region Identification and Classification for Spatial Co-location Patterns

Ting Yang, Lizhen Wang, Peizhong Yang, Lihua Zhou

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances

Qian Zou, Lizhen Wang, Peizhong Yang, Hongmei Chen

Data Science and Engineering

DOI

2026

Sustained Evolving Co-occurrence Pattern Mining

Liuwei Li, Peizhong Yang, Lizhen Wang, Hongmei Chen

Communications in computer and information science

DOI

2026

Direction and Time-Aware Location Selection for Mobile Users

Pengyu Qian, Peizhong Yang, L Wang, Hongmei Chen

Communications in computer and information science

DOI

2026

An Efficient Method for Mining Spatial Co-location Patterns under Size Constraints

Yuqing Liu, Lizhen Wang, Lihua Zhou, Peizhong Yang

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Mining regional co-location patterns in urban areas with considerations of temporal accessibility and regional structure

Junyi Li, Lizhen Wang, Peizhong Yang, Hongmei Chen

International Journal Of Geographical Information Science

DOI

2025

融合多视角信息的朋友关系预测方法

马志慧，陈红梅，杨培忠，王丽珍

《计算机科学与探索》

2025

Discovering Dynamic Co-location Patterns Based on Temporal Graph Networks

Qian Zou, Lizhen Wang, Peizhong Yang

International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)

DOI

2025

Robust co-location pattern mining in urban areas based on multi-path proximity consideration

Yonggui He, Peizhong Yang, Lizhen Wang, Hongmei Chen

Engineering Applications of Artificial Intelligence

DOI

2025

Fitter: post-mining user-preferred co-location patterns interactively

Xiwen Jiang, Lizhen Wang, Peizhong Yang, Hongmei Chen

Data Mining and Knowledge Discovery

DOI

2025

Mining Evolving Spatial Co-Location Patterns Based on Changed Maximal Cliques

Wenxin Duan, Peizhong Yang, Hongmei Chen, Lizhen Wang

DOI

2025

Structural Entropy-based Multivariate Time Series Forecasting

Xinhui Li, Kun Yue, Lixing Yu, Peizhong Yang

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

An Effective and Efficient Framework for Mining Top-k Regional Co-location Patterns

Can Zhang Jin, Lizhen Wang, Peizhong Yang, Hongmei Chen

Communications in computer and information science

DOI

2025

Spatio-Temporal Graph Representation Learning for POI Recommendation

Jianting Liu, Hongmei Chen, Peizhong Yang, Lizhen Wang

Communications in computer and information science

DOI

2025

Finding Associative Entities in Knowledge Graph by Incorporating User Behaviors

Jian-Yu Li, Peizhong Yang, Kun Yue, Liang Duan, Zehao Huang

Journal of Database Management

DOI

2025

Learning User Embeddings from LBSN Augmented by Spatial-Temporal Constraints

Qun Zhang, Hongmei Chen, Peizhong Yang, Lizhen Wang, Lihua Zhou

DOI

2025

Heterogeneous Graph Embedding Based on Attribute-guided Semantic Augmentation

Yuhong Huang, Hongmei Chen, Peizhong Yang, Xutao Yang

DOI

2024

基于网格空间团的多级同位模式挖掘方法

刘宇情，王丽珍，杨培忠，朴丽莎

《浙江大学学报(工学版)》

2024

Strong Co-Location Pattern Mining Incorporating Multi-Path and Distance Decay Effects

Yonggui He, Peizhong Yang, Lizhen Wang, Hongmei Chen

International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)

DOI

2024

Mining Interpretable Regional Co-location Patterns Based on Urban Functional Region Division

Yuqing Liu, Lizhen Wang, Peizhong Yang, Lihua Zhou

Data Science and Engineering

DOI

2024

Representative co-location pattern post-mining based on maximal row instances representation model

Pingping Wu, Lizhen Wang, Peizhong Yang, Xin Rong Hu

Knowledge-Based Systems

DOI

2024

CS-DAHIN: Community Search Over Dynamic Attribute Heterogeneous Network

Yixin Song, Lihua Zhou, Peizhong Yang, Jialong Wang, Lizhen Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

A Novel Algorithm for Efficiently Mining Spatial Multi-Level Co-Location Patterns

Junyi Li, Lizhen Wang, Peizhong Yang, Lihua Zhou

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension

Peizhong Yang, Lizhen Wang, Lihua Zhou, Hongmei Chen

Information Sciences

DOI

2024

Attributed Heterogeneous Graph Embedding with Meta-graph Attention

Xinwang Ouyang, Hongmei Chen, Peizhong Yang, Lizhen Wang, Qing Xiao

Lecture notes in computer science

DOI

2024

MIPC-SHOPs: An Online System for Mining the Influence of Industrial Pollution on Cancer Based on the Spatial High-Influence Ordered-Pair Patterns

Lingli Zhang, Lizhen Wang, Peizhong Yang, Lihua Zhou

Lecture notes in computer science

DOI

2024

Meeting Pattern Detection from Trajectories in Road Network

Weijuan Zhao, Peizhong Yang, Lizhen Wang, Hongmei Chen

Lecture notes in computer science

DOI

2023

工业污染对癌症影响的挖掘方法：改进的空间同位模式

张玲莉，王丽珍，杨培忠

《地球信息科学学报》

2023

RCPM_CFI: A regional core pattern mining method based on core feature influence

Dongsheng Wang, Lizhen Wang, Lizhen Wang, Xiwen Jiang, Peizhong Yang

Information Sciences

DOI

2023

ODSS-RCPM: An Online Decision Support System Based on Regional Co-location Pattern Mining

Dongsheng Wang, Lizhen Wang, Peizhong Yang

Lecture notes in computer science

DOI

2022

基于Voronoi图的空间Co-Location核模式挖掘

邹目权，王丽珍，吴萍萍，杨培忠

《计算机学报》

2022

基于空间占有度的主导并置模式挖掘

方圆，王丽珍，王晓璇，杨培忠

《计算机研究与发展》

2022

Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure

Peizhong Yang, Lizhen Wang, Lihua Zhou, Hongmei Chen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

SCPM-CR: A Novel Method for Spatial Co-location Pattern Mining with Coupling Relation Consideration

Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Lihua Zhou

Proceedings - International Conference on Data Engineering

DOI

2022

Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-Influence Ordered-Pair Patterns

Juanjuan Shu, Lizhen Wang, Peizhong Yang, Vanha Tran

Lecture notes in computer science

DOI

2021

极小负co-location模式及有效的挖掘算法

王光耀，王丽珍，杨培忠，陈红梅

《计算机科学与探索》

2021

一种基于列计算的空间并置模式挖掘方法

Peizhong Yang, Lizhen Wang, Xiao-Xuan Wang, Lihua Zhou

Scientia Sinica Informationis

DOI

2021

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

Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Lihua Zhou, Hongmei Chen

ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS)

DOI

2021

Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory

Xiaoxuan Wang, Le Lei, Lizhen Wang, Peizhong Yang, Hongmei Chen

IEEE Transactions on Fuzzy Systems

DOI

2021

Efficient discovery of co-location patterns from massive spatial datasets with or without rare features

Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Lihua Zhou

Knowledge and Information Systems

DOI

2021

EHUCM: An Efficient Algorithm for Mining High Utility Co-location Patterns from Spatial Datasets with Feature-specific Utilities

Yinqiao Li, Lizhen Wang, Peizhong Yang, Junyi Li

Lecture notes in computer science

DOI

2019

基于特征效用参与率的空间高效用co-location模式挖掘方法

王晓璇，王丽珍，陈红梅，方圆，杨培忠

《计算机学报》

2019

A MapReduce approach for spatial co-location pattern mining via ordered-clique-growth

Peizhong Yang, Lizhen Wang, Xiaoxuan Wang

Distributed and Parallel Databases

DOI

2019

Mining high influence co-location patterns from instances with attributes

Dianwu Fang, Lizhen Wang, Peizhong Yang, Lan Chen

Evolutionary Intelligence

DOI

2019

Prevalent Co-Visiting Patterns Mining from Location-Based Social Networks

Xiaoxuan Wang, Lizhen Wang, Peizhong Yang

Proceedings/IEEE International Conference on Mobile Data Management

DOI

2019

An Effective Approach on Mining Co-Location Patterns from Spatial Databases with Rare Features

Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Dianwu Fang

Proceedings/IEEE International Conference on Mobile Data Management

DOI

2019

Mining Significant Co-Location Patterns From Spatial Regional Objects

yurong Long, Peizhong Yang, Lizhen Wang

Proceedings/IEEE International Conference on Mobile Data Management

DOI

2018

A Parallel Spatial Co-location Pattern Mining Approach Based on Ordered Clique Growth

Peizhong Yang, Lizhen Wang, Xiaoxuan Wang

Lecture notes in computer science

DOI

2018

TSRS: Trip Service Recommended System Based on Summarized Co-location Patterns

Peizhong Yang, Tao Zhang, Lizhen Wang

Lecture notes in computer science

DOI

2018

A Parallel Joinless Algorithm for Co-location Pattern Mining Based on Group-Dependent Shard

Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Yuan Fang

Lecture notes in computer science

DOI

2018

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

Jiasong Zhao, Lizhen Wang, Peizhong Yang, Hongmei Chen

Communications in computer and information science

DOI

2018

An Incremental Approach Based on the Coalition Formation Game Theory for Identifying Communities in Dynamic Social Networks

Qing Xiao, Peizhong Yang, Lihua Zhou, Lizhen Wang

Lecture notes in computer science

DOI

2018

Measuring the Spatio-Temporal Similarity Between Users

Hongmei Chen, Peizhong Yang, Lizhen Wang, Qing Xiao

Lecture notes in computer science

DOI

2017

基于聚类分析分库策略的社交网络数据库查询性能与数据迁移

梁双，周丽华，杨培忠

《计算机应用》

2016

Spatial co-location pattern ordering

Gongsheng Yuan, Lizhen Wang, Peizhong Yang, Lan Chen

International Conference on Computer, Information and Telecommunication Systems

DOI

2016

User-Dependent Multi-relational Community Detection in Social Networks

Peizhong Yang, Lihua Zhou, Hongmei Chen

Lecture notes in computer science

DOI

2015

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

Zidong Zhang, Lihua Zhou, Lizhen Wang, Hongmei Chen, Peizhong Yang

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

DOI

2015

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

Lihua Zhou, Peizhong Yang, Kevin Lü, Zidong Zhang, Hongmei Chen

Lecture notes in computer science

DOI

2015

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

Lihua Zhou, Peizhong Yang, Kevin Lü, Lizhen Wang, Hongmei Chen

Lecture notes in computer science

DOI

2015

CDSG: A Community Detection System Based on the Game Theory

Peizhong Yang, Lihua Zhou, Lizhen Wang, Xuguang Bao, Zidong Zhang

Lecture notes in computer science

DOI

精选作品

期刊论文

Mining spatiotemporal dominant co-location patterns

Hierarchical cross-view contrastive learning for heterogeneous graph

面向网络覆盖和用户需求的5G基站选址方法

HGMG: Enhancing heterogeneous graph embedding by meta-graph learning

Mining Sustained Emerging Spatio-Temporal Co-occurrence Patterns from Dynamic Spatial Databases

Spatio-Temporal Semantic-Enhanced Contrastive Learning for Friend Recommendation

Discovering Rare Group-Oriented Spatio-Temporal Sequential Patterns

A Spectral Gap-Guided Eulerian Graph Rewiring Method for Heterogeneous Graph Embedding

A Decoder-Enhanced Autoencoder for Heterogeneous Graph Representation Learning

Mining co-location evolving sequences from spatio-temporal data

Maximal Prevalent Region Identification and Classification for Spatial Co-location Patterns

Dynamic Region Co-location Pattern Discovery: An Efficient Approach Based on Generalized Maximal Row Instances

Sustained Evolving Co-occurrence Pattern Mining

Direction and Time-Aware Location Selection for Mobile Users

An Efficient Method for Mining Spatial Co-location Patterns under Size Constraints

Mining regional co-location patterns in urban areas with considerations of temporal accessibility and regional structure

融合多视角信息的朋友关系预测方法

Discovering Dynamic Co-location Patterns Based on Temporal Graph Networks

Robust co-location pattern mining in urban areas based on multi-path proximity consideration

Fitter: post-mining user-preferred co-location patterns interactively

Mining Evolving Spatial Co-Location Patterns Based on Changed Maximal Cliques

Structural Entropy-based Multivariate Time Series Forecasting

An Effective and Efficient Framework for Mining Top-k Regional Co-location Patterns

Spatio-Temporal Graph Representation Learning for POI Recommendation

Finding Associative Entities in Knowledge Graph by Incorporating User Behaviors

Learning User Embeddings from LBSN Augmented by Spatial-Temporal Constraints

Heterogeneous Graph Embedding Based on Attribute-guided Semantic Augmentation

基于网格空间团的多级同位模式挖掘方法

Strong Co-Location Pattern Mining Incorporating Multi-Path and Distance Decay Effects

Mining Interpretable Regional Co-location Patterns Based on Urban Functional Region Division

Representative co-location pattern post-mining based on maximal row instances representation model

CS-DAHIN: Community Search Over Dynamic Attribute Heterogeneous Network

A Novel Algorithm for Efficiently Mining Spatial Multi-Level Co-Location Patterns

A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension

Attributed Heterogeneous Graph Embedding with Meta-graph Attention

MIPC-SHOPs: An Online System for Mining the Influence of Industrial Pollution on Cancer Based on the Spatial High-Influence Ordered-Pair Patterns

Meeting Pattern Detection from Trajectories in Road Network

工业污染对癌症影响的挖掘方法：改进的空间同位模式

RCPM_CFI: A regional core pattern mining method based on core feature influence

ODSS-RCPM: An Online Decision Support System Based on Regional Co-location Pattern Mining

基于Voronoi图的空间Co-Location核模式挖掘

基于空间占有度的主导并置模式挖掘

Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure

SCPM-CR: A Novel Method for Spatial Co-location Pattern Mining with Coupling Relation Consideration

Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-Influence Ordered-Pair Patterns

极小负co-location模式及有效的挖掘算法

一种基于列计算的空间并置模式挖掘方法

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

Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory

Efficient discovery of co-location patterns from massive spatial datasets with or without rare features

EHUCM: An Efficient Algorithm for Mining High Utility Co-location Patterns from Spatial Datasets with Feature-specific Utilities

基于特征效用参与率的空间高效用co-location模式挖掘方法

A MapReduce approach for spatial co-location pattern mining via ordered-clique-growth

Mining high influence co-location patterns from instances with attributes

Prevalent Co-Visiting Patterns Mining from Location-Based Social Networks

An Effective Approach on Mining Co-Location Patterns from Spatial Databases with Rare Features

Mining Significant Co-Location Patterns From Spatial Regional Objects

A Parallel Spatial Co-location Pattern Mining Approach Based on Ordered Clique Growth

TSRS: Trip Service Recommended System Based on Summarized Co-location Patterns

A Parallel Joinless Algorithm for Co-location Pattern Mining Based on Group-Dependent Shard

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

An Incremental Approach Based on the Coalition Formation Game Theory for Identifying Communities in Dynamic Social Networks

Measuring the Spatio-Temporal Similarity Between Users

基于聚类分析分库策略的社交网络数据库查询性能与数据迁移

Spatial co-location pattern ordering

User-Dependent Multi-relational Community Detection in Social Networks

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

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

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

CDSG: A Community Detection System Based on the Game Theory

书籍章节

Top-k Local Co-Location Pattern Mining Based on Weighted Voronoi Diagram

研究方向