AOG-ags Algorithms and Applications. - Lizhen Wang 001; Junli Lu; Joan Lu; Jim Yip (ADMA, 2007)

An Effective Approach to Predicting Plant Species in an Ecological Environment. - Lizhen Wang 001; Joan Lu; Jim Yip (IKE, 2007)

A new join-less approach for co-location pattern mining. - Lizhen Wang 001; Yuzhen Bao; Joan Lu; Jim Yip (CIT, 2008)

A Web-Based Visual Spatial Co-Location Patterns. - Lizhen Wang 001; Yuzhen Bao; Joan Lu; Jim Yip (CW, 2008)

Influence Diagram Model with Interval-Valued Utilities. - Lihua Zhou; Weiyi Liu; Lizhen Wang 001 (DASC, 2009)

An order-clique-based approach for mining maximal co-locations. - Lizhen Wang 001; Lihua Zhou; Joan Lu; Jim Yip (Inf. Sci., 2009)

Evaluating the Distance between Two Uncertain Categorical Objects. - Hongmei Chen 003; Lizhen Wang 001; Weiyi Liu; Qing Xiao (ADMA (2), 2010)

Efficiently Mining Co-Location Rules on Interval Data. - Lizhen Wang 001; Hongmei Chen 003; Lihong Zhao; Lihua Zhou (ADMA (1), 2010)

Frequent patterns-based subspace clustering. - Yue Jiang; Lihua Zhou; Lizhen Wang 001 (FSKD, 2010)

An efficient method of evaluating the distance between two uncertain objects. - Hongmei Chen 003; Lizhen Wang 001; Weiyi Liu; Qing Xiao (ICCA, 2010)

Static Strategic Game Approach for Multiple Attribute Decision Making Problems without Weight Information. - Lihua Zhou; Weiyi Liu; Lizhen Wang 001 (Int. J. Artif. Intell. Tools, 2011)

Mining Co-locations from Spatially Uncertain Data with Probability Intervals. - Lizhen Wang 001; Peng Guan; Hongmei Chen 003; Qing Xiao (WAIM Workshops, 2013)

Extracting Prevalent Co-location Patterns from Historic Spatial Data. - Lizhen Wang 001; Pingping Wu; Gaofeng Fan; Yongheng Zhou (WAIM Workshops, 2013)

Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets. - Lizhen Wang 001; Pingping Wu; Hongmei Chen 003 (IEEE Trans. Knowl. Data Eng., 2013)

Finding associations-between-groups in multimode networks. - Hongmei Chen 003; Qing Xiao; Dandan Zhang; Lizhen Wang 001; Lihua Zhou (BESC, 2014)

A Fast Approach for Detecting Overlapping Communities in Social Networks Based on Game Theory. - Lihua Zhou; Peizhong Yang; Kevin Lü 001; Lizhen Wang 001; Hongmei Chen 003 (BICOD, 2015)

A framework for mining spatial high utility co-location patterns. - Shisheng Yang; Lizhen Wang 001; Xuguang Bao; Junli Lu (FSKD, 2015)

SQNR: A System for Querying Nodes and relations in multi-relational social networks. - Zidong Zhang; Lihua Zhou; Lizhen Wang 001; Hongmei Chen 003; Peizhong Yang (FSKD, 2015)

CDSG: A Community Detection System Based on the Game Theory. - Peizhong Yang; Lihua Zhou; Lizhen Wang 001; Xuguang Bao; Zidong Zhang (WAIM, 2015)

An approach for overlapping and hierarchical community detection in social networks based on coalition formation game theory. - Lihua Zhou; Kevin Lü 001; Peizhong Yang; Lizheng Wang 001; Bing Kong (Expert Syst. Appl., 2015)

Ontology-Based Interactive Post-mining of Interesting Co-location Patterns. - Xuguang Bao; Lizhen Wang 001; Hongmei Chen 003 (APWeb (2), 2016)

OICRM: An Ontology-Based Interesting Co-location Rule Miner. - Xuguang Bao; Lizhen Wang 001; Meijiao Wang (APWeb (2), 2016)

Co-location Detector: A System to Find Interesting Spatial Co-locating Relationships. - Xuguang Bao; Lizhen Wang 001; Qing Xiao (APWeb (2), 2016)

An Improved ML-kNN Approach Based on Coupled Similarity. - Xiaodan Yang; Lihua Zhou; Lizhen Wang 001 (APWeb Workshops, 2016)

A novel method on incremental mining of spatial co-locations. - Junli Lu; Lizhen Wang 001; Yuan Fang; Xuguang Bao (BigComp, 2016)

Mining top-k-size maximal co-location patterns. - Xuguang Bao; Lizhen Wang 001; Jiasong Zhao (CITS, 2016)

Spatial co-location pattern ordering. - Gongsheng Yuan; Lizhen Wang 001; Peizhong Yang; Lan Chen (CITS, 2016)

Mining co-location patterns with spatial distribution characteristics. - Jiasong Zhao; Lizhen Wang 001; Xuguang Bao; Yaqing Tan (CITS, 2016)

Effectively Updating High Utility Co-location Patterns in Evolving Spatial Databases. - Xiaoxuan Wang; Lizhen Wang 001; Junli Lu; Lihua Zhou (WAIM (1), 2016)

Top-k probabilistic prevalent co-location mining in spatially uncertain data sets. - Lizhen Wang 001; Jun Han; Hongmei Chen 003; Junli Lu (Frontiers Comput. Sci., 2016)

Naïve Bayesian Classification of Uncertain Objects Based on the Theory of Interval Probability. - Hongmei Chen 003; Weiyi Liu; Lizhen Wang 001 (Int. J. Artif. Intell. Tools, 2016)

一种基于滑动窗口模式匹配的加权预测方法 (Weighted Prediction Method Based on Sliding Window and Pattern Matching). - Lizhen Wang 001; Lihua Zhou; Shikun Deng (计算机科学, 2016)

OICPM: An Interactive System to Find Interesting Co-location Patterns Using Ontologies. - Xuguang Bao; Lizhen Wang 001; Qing Xiao (APWeb/WAIM (2), 2017)

Incremental mining of high utility co-locations from spatial database. - Xiaoxuan Wang; Lizhen Wang 001 (BigComp, 2017)

Discovering Interesting Co-location Patterns Interactively Using Ontologies. - Xuguang Bao; Lizhen Wang 001 (DASFAA Workshops, 2017)

Efficiently Mining High Utility Co-location Patterns from Spatial Data Sets with Instance-Specific Utilities. - Lizhen Wang 001; Wanguo Jiang; Hongmei Chen 003; Yuan Fang (DASFAA (2), 2017)

UMine: Study on Prevalent Co-locations Mining from Uncertain Data Sets. - Pingping Wu; Lizhen Wang 001; Wenjing Yang; Zhulin Su (GSKI (2), 2017)

Mining High Utility Co-location Patterns Based on Importance of Spatial Region. - Jiasong Zhao; Lizhen Wang 001; Peizhong Yang; Hongmei Chen 003 (GSKI (2), 2017)

Game influence diagrams with interval-valued utilities. - Changchun Ren; Lihua Zhou; Yuan Fang; Lizhen Wang 001 (ICNC-FSKD, 2017)

Mining Co-location Patterns with Dominant Features. - Yuan Fang; Lizhen Wang 001; Xiaoxuan Wang; Lihua Zhou (WISE (1), 2017)

Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithms. - Lizhen Wang 001; Xuguang Bao; Lihua Zhou; Hongmei Chen 003 (WISE (1), 2017)

Spatial Co-Location Pattern Discovery from Fuzzy Objects. - Zhiping Ouyang; Lizhen Wang 001; Pingping Wu (Int. J. Artif. Intell. Tools, 2017)

Measuring the Spatio-Temporal Similarity Between Users. - Hongmei Chen 003; Peizhong Yang; Lizhen Wang 001; Qing Xiao (APWeb/WAIM Workshops, 2018)

Multivariate Time Series Clustering via Multi-relational Community Detection in Networks. - Guowang Du; Lihua Zhou; Lizhen Wang 001; Hongmei Chen 003 (APWeb/WAIM (1), 2018)

DFCPM: A Dominant Feature Co-location Pattern Miner. - Yuan Fang; Lizhen Wang 001; Teng Hu; Xiaoxuan Wang (APWeb/WAIM (1), 2018)

Discovering Congestion Propagation Patterns by Co-location Pattern Mining. - Ying He; Lizhen Wang 001; Yuan Fang; Yurui Li 001 (APWeb/WAIM Workshops, 2018)

TSRS: Trip Service Recommended System Based on Summarized Co-location Patterns. - Peizhong Yang; Tao Zhang; Lizhen Wang 001 (APWeb/WAIM (1), 2018)

A Tensor-Based Method for Geosensor Data Forecasting. - Lihua Zhou; Guowang Du; Qing Xiao; Lizhen Wang 001 (APWeb/WAIM (2), 2018)

A Parallel Spatial Co-location Pattern Mining Approach Based on Ordered Clique Growth. - Peizhong Yang; Lizhen Wang 001; Xiaoxuan Wang (DASFAA (1), 2018)

Basic and Optimization Algorithms for Mining High Utility Co-Location Patterns from Fuzzy Datasets. - Yubing Chen; Lizhen Wang 001; Jialong Wang (FSDM, 2018)

Interactive Probabilistic Post-Mining of User-Preferred Spatial Co-Location Patterns. - Lizhen Wang 001; Xuguang Bao; Longbing Cao (ICDE, 2018)

A Co-Location-Based Approach for Business Site Selection Using Ontologies. - Xuguang Bao; Lizhen Wang 001 (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

A Business Site Selection System Using Co-Locations and Ontologies. - Xuguang Bao; Lizhen Wang 001 (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 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 001 (KSEM (1), 2018)

A Parallel Joinless Algorithm for Co-location Pattern Mining Based on Group-Dependent Shard. - Peizhong Yang; Lizhen Wang 001; Xiaoxuan Wang; Yuan Fang (WISE (2), 2018)

Effective lossless condensed representation and discovery of spatial co-location patterns. - Lizhen Wang 001; Xuguang Bao; Hongmei Chen 003; Longbing Cao (Inf. Sci., 2018)

Redundancy Reduction for Prevalent Co-Location Patterns. - Lizhen Wang 001; Xuguang Bao; Lihua Zhou (IEEE Trans. Knowl. Data Eng., 2018)

Multi-View Clustering via Nonnegative Matrix Factorization with L21 Norm. - Guowang Du; Lihua Zhou; Lizhen Wang 001; Qing Xiao; Hongmei Chen 003 (FSDM, 2019)

Discovering Spatial Co-Location Patterns by Automatically Determining the Instance Neighbor. - Vanha Tran; Lizhen Wang 001; Hongmei Chen 003 (FSDM, 2019)

Incremental Mining of Spatial Co-Location Patterns Based on the Fuzzy Neighborhood Relationship. - Meijiao Wang; Lizhen Wang 001; Yanjun Qian; Dianwu Fang (FSDM, 2019)

Spatial Colocation Pattern Mining with the Maximum Membership Threshold. - Meijiao Wang; Lizhen Wang 001; Lihua Zhou (FSDM, 2019)

Mining Spatial Co-location Patterns by the Fuzzy Technology. - Le Lei; Lizhen Wang 001; Xiaoxuan Wang (ICBK, 2019)

A Spatial Co-location Pattern Mining Algorithm Without Distance Thresholds. - Vanha Tran; Lizhen Wang 001; Hongmei Chen 003 (ICBK, 2019)

Vector-Degree: A General Similarity Measure for Co-location Patterns. - Pingping Wu; Lizhen Wang 001; Muquan Zou (ICBK, 2019)

POI Representation Learning by a Hybrid Model. - Yurui Li 001; Hongmei Chen 003; Lizhen Wang 001; Qing Xiao (MDM, 2019)

Mining Significant Co-Location Patterns From Spatial Regional Objects. - yurong Long; Peizhong Yang; Lizhen Wang 001 (MDM, 2019)

Mining Spatial Co-Location Patterns Based on Overlap Maximal Clique Partitioning. - Vanha Tran; Lizhen Wang 001; Lihua Zhou (MDM, 2019)

Mining Prevalent Co-Location Patterns Based on Global Topological Relations. - Jialong Wang; Lizhen Wang 001; Xiaoxu Wang (MDM, 2019)

Prevalent Co-Visiting Patterns Mining from Location-Based Social Networks. - Xiaoxuan Wang; Lizhen Wang 001; Peizhong Yang (MDM, 2019)

An Effective Approach on Mining Co-Location Patterns from Spatial Databases with Rare Features. - Peizhong Yang; Lizhen Wang 001; Xiaoxuan Wang; Dianwu Fang (MDM, 2019)

A clique-based approach for co-location pattern mining. - Xuguang Bao; Lizhen Wang 001 (Inf. Sci., 2019)

Spatial Co-location Pattern Mining Based on Fuzzy Neighbor Relationship. - Meijiao Wang; Lizhen Wang 001; Lihong Zhao (J. Inf. Sci. Eng., 2019)

A tensor framework for geosensor data forecasting of significant societal events. - Lihua Zhou; Guowang Du; Ruxin Wang 002; Dapeng Tao; Lizhen Wang 001; Jun Cheng 002; Jing Wang (Pattern Recognit., 2019)

Domain-Weighted Majority Voting for Crowdsourcing. - Dapeng Tao; Jun Cheng 002; Zhengtao Yu 001; Kun Yue; Lizhen Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Mining maximal sub-prevalent co-location patterns. - Lizhen Wang 001; Xuguang Bao; Lihua Zhou; Hongmei Chen 003 (World Wide Web, 2019)

Multi-view Clustering via Multiple Auto-Encoder. - Guowang Du; Lihua Zhou; Yudi Yang; Kevin Lü 001; Lizhen Wang 001 (APWeb/WAIM (1), 2020)

Attributed Network Embedding with Community Preservation. - Tong Huang; Lihua Zhou; Lizhen Wang 001; Guowang Du; Kevin Lü 001 (DSAA, 2020)

The Coupling Co-Location Pattern: A New Spatial Pattern for Spatial Data Sets. - Shiran Zhou; Lizhen Wang 001; Pingping Wu (FSDM, 2020)

ESPM: Efficient Spatial Pattern Matching (Extended Abstract). - Hongmei Chen 003; Yixiang Fang; Ying Zhang 001; Wenjie Zhang 001; Lizhen Wang 001 (ICDE, 2020)

An efficient architecture for medical high-resolution images transmission in mobile telemedicine systems. - Lijun Liu; Lizhen Wang 001; Qingsong Huang; Lihua Zhou; Xiaodong Fu; Li Liu 032 (Comput. Methods Programs Biomed., 2020)

A MapReduce approach for spatial co-location pattern mining via ordered-clique-growth. - Peizhong Yang; Lizhen Wang 001; Xiaoxuan Wang (Distributed Parallel Databases, 2020)

Mining high influence co-location patterns from instances with attributes. - Dianwu Fang; Lizhen Wang 001; Peizhong Yang; Lan Chen (Evol. Intell., 2020)

Mining traffic congestion propagation patterns based on spatio-temporal co-location patterns. - Lu Yang; Lizhen Wang 001 (Evol. Intell., 2020)

Delaunay triangulation-based spatial colocation pattern mining without distance thresholds. - Vanha Tran; Lizhen Wang 001 (Stat. Anal. Data Min., 2020)

ESPM: Efficient Spatial Pattern Matching. - Hongmei Chen 003; Yixiang Fang; Ying Zhang 001; Wenjie Zhang 001; Lizhen Wang 001 (IEEE Trans. Knowl. Data Eng., 2020)

NRCP-Miner: Towards the Discovery of Non-redundant Co-location Patterns. - Xuguang Bao; Jinjie Lu; Tianlong Gu; Liang Chang 003; Lizhen Wang 001 (DASFAA (3), 2021)

Deep Attributed Network Embedding Based on the PPMI. - Kunjie Dong; Tong Huang; Lihua Zhou; Lizhen Wang 001; Hongmei Chen 003 (DASFAA (Workshops), 2021)

EHUCM: An Efficient Algorithm for Mining High Utility Co-location Patterns from Spatial Datasets with Feature-specific Utilities. - Yinqiao Li; Lizhen Wang 001; Peizhong Yang; Junyi Li (DEXA (1), 2021)

Parallel Co-location Pattern Mining based on Neighbor-Dependency Partition and Column Calculation. - Peizhong Yang; Lizhen Wang 001; Xiaoxuan Wang; Lihua Zhou; Hongmei Chen 003 (SIGSPATIAL/GIS, 2021)

Deep Multiple Auto-Encoder-Based Multi-view Clustering. - Guowang Du; Lihua Zhou; Yudi Yang; Kevin Lü 001; Lizhen Wang 001 (Data Sci. Eng., 2021)

MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm. - Vanha Tran; Lizhen Wang 001; Hongmei Chen 003; Qing Xiao (Expert Syst. Appl., 2021)

A network-based sparse and multi-manifold regularized multiple non-negative matrix factorization for multi-view clustering. - Lihua Zhou; Guowang Du; Kevin Lü 001; Lizhen Wang 001 (Expert Syst. Appl., 2021)

High Influencing Pattern Discovery over Time Series Data. - Dianwu Fang; Lizhen Wang 001; Jialong Wang; Meijiao Wang (ISPRS Int. J. Geo Inf., 2021)

Efficient discovery of co-location patterns from massive spatial datasets with or without rare features. - Peizhong Yang; Lizhen Wang 001; Xiaoxuan Wang; Lihua Zhou (Knowl. Inf. Syst., 2021)

Preference-based Spatial Co-location Pattern Mining - Lizhen Wang 001; Yuan Fang; Lihua Zhou (Springer, 2022)

Mining Maximal Sub-prevalent Co-location Patterns Based on k-hop. - Yingbi Chen; Lizhen Wang 001; Lihua Zhou (ADMA (1), 2022)

Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-Influence Ordered-Pair Patterns. - Juanjuan Shu; Lizhen Wang 001; Peizhong Yang; Vanha Tran (ADMA (1), 2022)

Mining ε-Closed High Utility Co-location Patterns from Spatial Data. - Vanha Tran; Lizhen Wang 001; Shiyu Zhang 001; Jinpeng Zhang; SonTung Pham (ADMA (1), 2022)

Discovering Prevalent Weighted Co-Location Patterns on Spatial Data Without Candidates. - Vanha Tran; Lizhen Wang 001; Muquan Zou; Hongmei Chen 003 (APWeb/WAIM (1), 2022)

OESCPM: An Online Extended Spatial Co-location Pattern Mining System. - Jinpeng Zhang; Lizhen Wang 001; Wenlu Lou; Vanha Tran (APWeb/WAIM (3), 2022)

Spatial Feature Evolutionary Relationship Discovery Based on Tree Structure Pattern Mining and Spatial Co-Location Pattern Mining in Spatial Cliques. - Kaishuo Lin; Lizhen Wang 001; Vanha Tran (FSDM, 2022)

Reconstructing NDVI Time Series by Spatio-temporal Feature Fusion. - Zhengbao Sun; Kun Yue; Lizhen Wang 001; Siyang Guo (GCCE, 2022)

Mining fuzzy sub-prevalent co-location pattern with dominant feature. - Kaifang Xiong; Hongmei Chen 003; Lizhen Wang 001; Qing Xiao (SIGSPATIAL/GIS, 2022)

MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion. - Shaokai Xu; Lihua Zhou; Jianfeng Xu; Lizhen Wang 001; Hongmei Chen 003 (IJCNN, 2022)

Heterogeneous Network Representation Learning Based on Adaptive Multi-channel Graph Convolution. - Jingwei Du; Lihua Zhou; Guowang Du; Lizhen Wang 001; Yiting Jiang (SpatialDI, 2022)

Diversified Top-k Spatial Pattern Matching. - Jiahua Xie; Hongmei Chen 003; Lizhen Wang 001 (SpatialDI, 2022)

Information Diffusion Prediction Based on Deep Attention in Heterogeneous Networks. - Xingzhu Zou; Lihua Zhou; Guowang Du; Lizhen Wang 001; Yiting Jiang (SpatialDI, 2022)

TCPMS-FCP: A Traffic Congestion Pattern Mining System Based on Spatio-Temporal Fuzzy Co-location Patterns. - Xiaoxu Wang; Jialong Wang; Lizhen Wang 001; Shan Wang; Lei Ding (WISE, 2022)

Mining spatial high-average utility co-location patterns from spatial data sets. - Jinhong Li; Lizhen Wang 001; Hongmei Chen 003; Zhengbao Sun (Intell. Data Anal., 2022)

Mining Type-β Co-Location Patterns on Closeness Centrality in Spatial Data Sets. - Muquan Zou; Lizhen Wang 001; Pingping Wu; Vanha Tran (ISPRS Int. J. Geo Inf., 2022)

Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques. - Zisong Hu; Lizhen Wang 001; Vanha Tran; Hongmei Chen 003 (Inf. Sci., 2022)

A maximal ordered ego-clique based approach for prevalent co-location pattern mining. - Pingping Wu; Lizhen Wang 001; Muquan Zou (Inf. Sci., 2022)

Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory. - Xiaoxuan Wang; Le Lei; Lizhen Wang 001; Peizhong Yang; Hongmei Chen 003 (IEEE Trans. Fuzzy Syst., 2022)

SCPM-CR: A Novel Method for Spatial Co-Location Pattern Mining With Coupling Relation Consideration. - Peizhong Yang; Lizhen Wang 001; Xiaoxuan Wang; Lihua Zhou (IEEE Trans. Knowl. Data Eng., 2022)

Mining Non-Redundant Co-Location Patterns. - Xuguang Bao; Jinjie Lu; Tianlong Gu; Liang Chang 003; Zhoubo Xu; Lizhen Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Efficient Mining of High Utility Co-location Patterns Based on a Query Strategy. - Vanha Tran; Lizhen Wang 001; Jinpeng Zhang; Thanhcong Do (ADMA (1), 2023)

ODSS-RCPM: An Online Decision Support System Based on Regional Co-location Pattern Mining. - Dongsheng Wang; Lizhen Wang 001; Peizhong Yang (DASFAA (4), 2023)

A multi-view anomalous co-location detection framework considering both intra- and inter-feature couplings. - Xiwen Jiang; Lizhen Wang 001; Junyi Li; Hongmei Chen 003; Vanha Tran (MDM, 2023)

Fast Mining Prevalent Co-location Patterns Over Dense Spatial Datasets. - Junyi Li; Lizhen Wang 001; Vanha Tran; Xiwen Jiang (SpatialDI, 2023)

Influential Community Search Over Large Heterogeneous Information Networks. - Xingyu Li; Lihua Zhou; Bing Kong; Lizhen Wang 001 (SpatialDI, 2023)

Continuous Sub-prevalent Co-location Pattern Mining. - Qilong Wang; Hongmei Chen 003; Lizhen Wang 001 (SpatialDI, 2023)

Spatial-Aware Community Search Over Heterogeneous Information Networks. - Yi Zhou; Lihua Zhou; Jialong Wang; Lizhen Wang 001; Bing Kong (SpatialDI, 2023)

Spatial co-location pattern mining over extended objects based on cell-relation operations. - Jinpeng Zhang; Lizhen Wang 001; Vanha Tran; Lihua Zhou (Expert Syst. Appl., 2023)

Efficiently mining maximal l-reachability co-location patterns from spatial data sets. - Muquan Zou; Lizhen Wang 001; Pingping Wu; Vanha Tran (Intell. Data Anal., 2023)

Neighbor-aware deep multi-view clustering via graph convolutional network. - Guowang Du; Lihua Zhou; Zhongxue Li; Lizhen Wang 001; Kevin Lü 001 (Inf. Fusion, 2023)

A spatial co-location pattern mining framework insensitive to prevalence thresholds based on overlapping cliques. - Vanha Tran; Lizhen Wang 001; Lihua Zhou (Distributed Parallel Databases, 2023)

Strong Co-Location Pattern Mining Incorporating Multi-Path and Distance Decay Effects. - Yonggui He; Peizhong Yang; Lizhen Wang 001; Hongmei Chen 003 (ACAI, 2024)

Attributed Heterogeneous Graph Embedding with Meta-graph Attention. - Xinwang Ouyang; Hongmei Chen 003; Peizhong Yang; Lizhen Wang 001; Qing Xiao (APWeb/WAIM (3), 2024)

Dual-Contrastive Multi-view Clustering Under the Guidance of Global Similarity and Pseudo-label. - Ziyi Yin 005; Lihua Zhou; Lizhen Wang 001; Hongmei Chen 003 (APWeb/WAIM (4), 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 001; Peizhong Yang; Lihua Zhou (APWeb/WAIM (5), 2024)

Meeting Pattern Detection from Trajectories in Road Network. - Weijuan Zhao; Peizhong Yang; Lizhen Wang 001; Hongmei Chen 003 (APWeb/WAIM (2), 2024)

Top-k Local Co-Location Pattern Mining Based on Weighted Voronoi Diagram. - Can Jin; Lizhen Wang 001; Peizhong Yang; Xiaoxu Wang (FSDM, 2024)

Self-supervised Graph Neural Network Based Community Search over Heterogeneous Information Networks. - Jinyang Wei; Lihua Zhou; Lizhen Wang 001; Hongmei Chen 003; Qing Xiao (SpatialDI, 2024)

Mining Regional High Utility Co-location Pattern. - Meiyu Xiong; Hongmei Chen 003; Lizhen Wang 001; Qing Xiao (SpatialDI, 2024)

An approach based on maximal cliques and multi-density clustering for regional co-location pattern mining. - Dongsheng Wang; Lizhen Wang 001; Xiaoxu Wang; Vanha Tran (Expert Syst. Appl., 2024)

A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension. - Peizhong Yang; Lizhen Wang 001; Lihua Zhou; Hongmei Chen 003 (Inf. Sci., 2024)

Representative co-location pattern post-mining based on maximal row instances representation model. - Pingping Wu; Lizhen Wang 001; Peizhong Yang; Xin Hu 008 (Knowl. Based Syst., 2024)

Attribute-sensitive community search over attributed heterogeneous information networks. - Jialong Wang; Lihua Zhou; Xiaoxu Wang; Lizhen Wang 001; Shijin Li (Expert Syst. Appl., 2024)

A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates. - Lizhen Wang 001; Vanha Tran; Thanhcong Do (ACM Trans. Knowl. Discov. Data, 2024)

RCPM_CFI: A regional core pattern mining method based on core feature influence. - Dongsheng Wang; Lizhen Wang 001; Xiwen Jiang; Peizhong Yang (Inf. Sci., 2024)

Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure. - Peizhong Yang; Lizhen Wang 001; Lihua Zhou; Hongmei Chen 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey and an Empirical Evaluation of Multi-View Clustering Approaches. - Lihua Zhou; Guowang Du; Kevin Lü 001; Lizhen Wang 001; Jingwei Du (ACM Comput. Surv., 2024)

A Novel Algorithm for Efficiently Mining Spatial Multi-Level Co-Location Patterns. - Junyi Li; Lizhen Wang 001; Peizhong Yang; Lihua Zhou (IEEE Trans. Knowl. Data Eng., 2024)

CS-DAHIN: Community Search Over Dynamic Attribute Heterogeneous Network. - Yixin Song; Lihua Zhou; Peizhong Yang; Jialong Wang; Lizhen Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Mining Interpretable Regional Co-location Patterns Based on Urban Functional Region Division. - Yuqing Liu; Lizhen Wang 001; Peizhong Yang; Lihua Zhou (Data Sci. Eng., 2024)

Learning User Embeddings from LBSN Augmented by Spatial-Temporal Constraints. - Qun Zhang; Hongmei Chen 003; Peizhong Yang; Lizhen Wang 001; Lihua Zhou (DSDE, 2025)

dGridED-SCPM: A grid-clique-based approach for efficiently mining spatial co-location patterns. - Junyi Li; Lizhen Wang 001; Hongmei Chen 003; Zhengbao Sun (Expert Syst. Appl., 2025)

HinMAD3R: Representation learning on heterogeneous information networks via multiple attentions with dual dropout and dual residual. - Ting Zhang; Lihua Zhou; Xinchao Lu; Pei Zhang; Lizhen Wang 001 (Expert Syst. Appl., 2025)

Self-supervised learning of invariant causal representation in heterogeneous information network. - Pei Zhang; Lihua Zhou; Yong Li; Hongmei Chen 003; Lizhen Wang 001 (Inf. Fusion, 2025)

Incomplete multi-view semi-supervised classification via dual-graph structure and dual-contrastive completion. - Xinchao Lu; Lihua Zhou; Ting Zhang; Lizhen Wang 001 (Signal Process., 2025)

An Empirical Evaluation of Algorithms for Link Prediction. - Tong Huang; Lihua Zhou; Kevin Lü 001; Lizhen Wang 001; Hongmei Chen 003; Guowang Du (Inf. Syst. Frontiers, 2025)