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Hongmei Chen 0003
Person information
- affiliation: Yunnan University, Kunming, China
Other persons with the same name
- Hongmei Chen — disambiguation page
- Hongmei Chen 0001 — Southwest Jiaotong University, Chengdu, China
- Hongmei Chen 0002 — Beijing Institute of Graphic Communication, Beijing, China
- Hongmei Chen 0004 — Henan University of Technology, Zhengzhou, China
- Hongmei Chen 0005 — Hefei University of Technology, Hefei, China
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2020 – today
- 2025
- [j14]Junyi Li, Lizhen Wang, Hongmei Chen, Zhengbao Sun:
dGridED-SCPM: A grid-clique-based approach for efficiently mining spatial co-location patterns. Expert Syst. Appl. 261: 125471 (2025) - 2024
- [j13]Peizhong Yang, Lizhen Wang, Lihua Zhou, Hongmei Chen:
A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension. Inf. Sci. 666: 120407 (2024) - [j12]Han Chen, Hanchen Wang, Hongmei Chen, Ying Zhang, Wenjie Zhang, Xuemin Lin:
Denoising Variational Graph of Graphs Auto-Encoder for Predicting Structured Entity Interactions. IEEE Trans. Knowl. Data Eng. 36(3): 1016-1029 (2024) - [j11]Peizhong Yang, Lizhen Wang, Lihua Zhou, Hongmei Chen:
Mining Spatial Co-Location Patterns With a Mixed Prevalence Measure. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7845-7859 (2024) - [c41]Ziyi Yin, Lihua Zhou, Lizhen Wang, Hongmei Chen:
Dual-Contrastive Multi-view Clustering Under the Guidance of Global Similarity and Pseudo-label. APWeb/WAIM (4) 2024: 35-49 - [c40]Xinwang Ouyang, Hongmei Chen, Peizhong Yang, Lizhen Wang, Qing Xiao:
Attributed Heterogeneous Graph Embedding with Meta-graph Attention. APWeb/WAIM (3) 2024: 129-144 - [c39]Weijuan Zhao, Peizhong Yang, Lizhen Wang, Hongmei Chen:
Meeting Pattern Detection from Trajectories in Road Network. APWeb/WAIM (2) 2024: 405-420 - [c38]Bingchen Guo, Bing Kong, Lihua Zhou, Hongmei Chen, Chongming Bao:
Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-encoders. SpatialDI 2024: 3-14 - [c37]Meiyu Xiong, Hongmei Chen, Lizhen Wang, Qing Xiao:
Mining Regional High Utility Co-location Pattern. SpatialDI 2024: 97-107 - [c36]Jinyang Wei, Lihua Zhou, Lizhen Wang, Hongmei Chen, Qing Xiao:
Self-supervised Graph Neural Network Based Community Search over Heterogeneous Information Networks. SpatialDI 2024: 188-198 - 2023
- [c35]Yongchao Lu, Bing Kong, Guowang Du, Chongming Bao, Lihua Zhou, Hongmei Chen:
Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion. ADMA (4) 2023: 123-138 - [c34]Chao Liu, Bing Kong, Yiwei Yu, Lihua Zhou, Hongmei Chen:
Adaptive Heterogeneous Graph Contrastive Clustering with Multi-similarity. ADMA (4) 2023: 486-501 - [c33]Xiwen Jiang, Lizhen Wang, Junyi Li, Hongmei Chen, Vanha Tran:
A multi-view anomalous co-location detection framework considering both intra- and inter-feature couplings. MDM 2023: 132-137 - [c32]Yulong Ma, Bing Kong, Lihua Zhou, Hongmei Chen, Chongming Bao:
CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Large Graph Convolutional Networks. SpatialDI 2023: 128-139 - [c31]Qilong Wang, Hongmei Chen, Lizhen Wang:
Continuous Sub-prevalent Co-location Pattern Mining. SpatialDI 2023: 192-203 - 2022
- [j10]Jinhong Li, Lizhen Wang, Hongmei Chen, Zhengbao Sun:
Mining spatial high-average utility co-location patterns from spatial data sets. Intell. Data Anal. 26(4): 911-931 (2022) - [j9]Zisong Hu, Lizhen Wang, Vanha Tran, Hongmei Chen:
Efficiently mining spatial co-location patterns utilizing fuzzy grid cliques. Inf. Sci. 592: 361-388 (2022) - [j8]Xiaoxuan Wang, Le Lei, Lizhen Wang, Peizhong Yang, Hongmei Chen:
Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory. IEEE Trans. Fuzzy Syst. 30(6): 2055-2072 (2022) - [c30]Vanha Tran, Lizhen Wang, Muquan Zou, Hongmei Chen:
Discovering Prevalent Weighted Co-Location Patterns on Spatial Data Without Candidates. APWeb/WAIM (1) 2022: 417-425 - [c29]Kaifang Xiong, Hongmei Chen, Lizhen Wang, Qing Xiao:
Mining fuzzy sub-prevalent co-location pattern with dominant feature. SIGSPATIAL/GIS 2022: 36:1-36:10 - [c28]Shaokai Xu, Lihua Zhou, Jianfeng Xu, Lizhen Wang, Hongmei Chen:
MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion. IJCNN 2022: 1-10 - [c27]Jiahua Xie, Hongmei Chen, Lizhen Wang:
Diversified Top-k Spatial Pattern Matching. SpatialDI 2022: 87-98 - 2021
- [j7]Vanha Tran, Lizhen Wang, Hongmei Chen, Qing Xiao:
MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm. Expert Syst. Appl. 175: 114830 (2021) - [c26]Kunjie Dong, Tong Huang, Lihua Zhou, Lizhen Wang, Hongmei Chen:
Deep Attributed Network Embedding Based on the PPMI. DASFAA (Workshops) 2021: 251-266 - [c25]Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Lihua Zhou, Hongmei Chen:
Parallel Co-location Pattern Mining based on Neighbor-Dependency Partition and Column Calculation. SIGSPATIAL/GIS 2021: 365-374 - 2020
- [j6]Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang:
ESPM: Efficient Spatial Pattern Matching. IEEE Trans. Knowl. Data Eng. 32(6): 1227-1233 (2020) - [c24]Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang:
ESPM: Efficient Spatial Pattern Matching (Extended Abstract). ICDE 2020: 2038-2039
2010 – 2019
- 2019
- [j5]Lizhen Wang, Xuguang Bao, Lihua Zhou, Hongmei Chen:
Mining maximal sub-prevalent co-location patterns. World Wide Web 22(5): 1971-1997 (2019) - [c23]Guowang Du, Lihua Zhou, Lizhen Wang, Qing Xiao, Hongmei Chen:
Multi-View Clustering via Nonnegative Matrix Factorization with L21 Norm. FSDM 2019: 363-370 - [c22]Vanha Tran, Lizhen Wang, Hongmei Chen:
Discovering Spatial Co-Location Patterns by Automatically Determining the Instance Neighbor. FSDM 2019: 583-590 - [c21]Vanha Tran, Lizhen Wang, Hongmei Chen:
A Spatial Co-location Pattern Mining Algorithm Without Distance Thresholds. ICBK 2019: 242-249 - [c20]Yurui Li, Hongmei Chen, Lizhen Wang, Qing Xiao:
POI Representation Learning by a Hybrid Model. MDM 2019: 485-490 - 2018
- [j4]Lizhen Wang, Xuguang Bao, Hongmei Chen, Longbing Cao:
Effective lossless condensed representation and discovery of spatial co-location patterns. Inf. Sci. 436-437: 197-213 (2018) - [c19]Hongmei Chen, Peizhong Yang, Lizhen Wang, Qing Xiao:
Measuring the Spatio-Temporal Similarity Between Users. APWeb/WAIM Workshops 2018: 79-89 - [c18]Guowang Du, Lihua Zhou, Lizhen Wang, Hongmei Chen:
Multivariate Time Series Clustering via Multi-relational Community Detection in Networks. APWeb/WAIM (1) 2018: 138-145 - 2017
- [c17]Lizhen Wang, Wanguo Jiang, Hongmei Chen, Yuan Fang:
Efficiently Mining High Utility Co-location Patterns from Spatial Data Sets with Instance-Specific Utilities. DASFAA (2) 2017: 458-474 - [c16]Jiasong Zhao, Lizhen Wang, Peizhong Yang, Hongmei Chen:
Mining High Utility Co-location Patterns Based on Importance of Spatial Region. GSKI (2) 2017: 43-55 - [c15]Song Gao, Lihua Zhou, Xiaoxuan Wang, Hongmei Chen:
Link prediction via local structural information in complex networks. ICNC-FSKD 2017: 2247-2253 - [c14]Lizhen Wang, Xuguang Bao, Lihua Zhou, Hongmei Chen:
Maximal Sub-prevalent Co-location Patterns and Efficient Mining Algorithms. WISE (1) 2017: 199-214 - 2016
- [j3]Lizhen Wang, Jun Han, Hongmei Chen, Junli Lu:
Top-k probabilistic prevalent co-location mining in spatially uncertain data sets. Frontiers Comput. Sci. 10(3): 488-503 (2016) - [j2]Hongmei Chen, Weiyi Liu, Lizhen Wang:
Naïve Bayesian Classification of Uncertain Objects Based on the Theory of Interval Probability. Int. J. Artif. Intell. Tools 25(3): 1650012:1-1650012:31 (2016) - [c13]Peizhong Yang, Lihua Zhou, Hongmei Chen:
User-Dependent Multi-relational Community Detection in Social Networks. APWeb Workshops 2016: 152-163 - [c12]Xuguang Bao, Lizhen Wang, Hongmei Chen:
Ontology-Based Interactive Post-mining of Interesting Co-location Patterns. APWeb (2) 2016: 406-409 - 2015
- [c11]Lihua Zhou, Peizhong Yang, Kevin Lü, Lizhen Wang, Hongmei Chen:
A Fast Approach for Detecting Overlapping Communities in Social Networks Based on Game Theory. BICOD 2015: 62-73 - [c10]Zidong Zhang, Lihua Zhou, Lizhen Wang, Hongmei Chen, Peizhong Yang:
SQNR: A System for Querying Nodes and relations in multi-relational social networks. FSKD 2015: 1503-1507 - [c9]Lihua Zhou, Peizhong Yang, Kevin Lü, Zidong Zhang, Hongmei Chen:
A Coalition Formation Game Theory-Based Approach for Detecting Communities in Multi-relational Networks. WAIM 2015: 30-41 - 2014
- [c8]Hongmei Chen, Qing Xiao, Dandan Zhang, Lizhen Wang, Lihua Zhou:
Finding associations-between-groups in multimode networks. BESC 2014: 61-67 - 2013
- [j1]Lizhen Wang, Pingping Wu, Hongmei Chen:
Finding Probabilistic Prevalent Colocations in Spatially Uncertain Data Sets. IEEE Trans. Knowl. Data Eng. 25(4): 790-804 (2013) - [c7]Lihua Zhou, Kevin Lü, Chao Cheng, Hongmei Chen:
A Game Theory Based Approach for Community Detection in Social Networks. BNCOD 2013: 268-281 - [c6]Lizhen Wang, Peng Guan, Hongmei Chen, Qing Xiao:
Mining Co-locations from Spatially Uncertain Data with Probability Intervals. WAIM Workshops 2013: 301-314 - [c5]Lihua Zhou, Chao Cheng, Kevin Lü, Hongmei Chen:
Using Coalitional Games to Detect Communities in Social Networks. WAIM 2013: 326-331 - 2010
- [c4]Hongmei Chen, Lizhen Wang, Weiyi Liu, Qing Xiao:
Evaluating the Distance between Two Uncertain Categorical Objects. ADMA (2) 2010: 122-133 - [c3]Lizhen Wang, Hongmei Chen, Lihong Zhao, Lihua Zhou:
Efficiently Mining Co-Location Rules on Interval Data. ADMA (1) 2010: 477-488 - [c2]Hongmei Chen, Lizhen Wang, Weiyi Liu, Qing Xiao:
An efficient method of evaluating the distance between two uncertain objects. ICCA 2010: 1259-1264
2000 – 2009
- 2008
- [c1]Lihua Zhou, Weiyi Liu, Yufeng Xu, Hongmei Chen:
Behavior Observation-Based Rival's Private Information Inferring. NCM (1) 2008: 224-228
Coauthor Index
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