Recursive Bayesian beamforming with uncertain projected steering vector and strong interferences. - Yubing Han; Vanha Tran (Signal Image Video Process., 2016)

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

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

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

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

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)

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)

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)

Discovering Prevalent Co-location Patterns Without Collecting Co-location Instances. - Vanha Tran; Caodai Pham; Thanhcong Do; Hoangnam Pham (ACIIDS (1), 2023)

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)

Prompt-Based Fashion Outfits Retrieval and Recommender System Using Binary Hashing (short paper). - Quocdung Nguyen; Hoangnam Pham; Duyhung Dao; Quangmanh Do; Vanha Tran (AIABI@AI*IA, 2023)

Vietnamese Voice2Text: A Web Application for Whisper Implementation in Vietnamese Automatic Speech Recognition Tasks: Vietnamese Voice2Text. - Quangphuoc Nguyen; Ngocminh Nguyen; Thanhluan Dang; Vanha Tran (CSAI, 2023)

Mining Maximal High Utility Co-location Patterns from Large-Scale Spatial Data. - Muquan Zou; Vanha Tran; Ducanh Khuat; Thanhcong Do; Jinpeng Zhang (DMBD (2), 2023)

Efficiently Discovering Spatial Prevalent Co-location Patterns Without Distance Thresholds. - Vanha Tran; Duyhai Tran; Anhthang Le; Trongnguyen Ha (iiWAS, 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)

δ-CHUCPM: A δ-closed high utility co-location pattern miner. - Vanha Tran; Caodai Pham; Thanhcong Do; Hoangnam Pham (MDM, 2023)

Discovering Maximal High Utility Co-location Patterns from Spatial Data. - Vanha Tran (PKAW, 2023)

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

Meta-PCP: A concise representation of prevalent co-location patterns discovered from spatial data. - Vanha Tran (Expert Syst. Appl., 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)

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)

An Algorithm for Discovering Prevalent Co-location Patterns with Considering Both Density and Connectivity. - Dinhsontung Ta; Phan Ha; Vanha Tran; Vanhieu Bui (ADMA (2), 2024)

MPCPM: Multi-level Prevalent Co-location Pattern Miner. - Vanluan Nguyen; Vanha Tran (APWeb/WAIM (5), 2024)

Density and Connectivity-Based Neighbor Relationship Materialization for Discovering Prevalent Co-location Patterns. - Vanha Tran; Thiloan Bui; Hoangan Le (BDA (Astronomy, Science, and Engineering), 2024)

An Efficient Clique-Based Level-Wise Search Algorithm for Spatial Prevalent Co-location Pattern Mining. - Muquan Zou; Vanha Tran; Thiloan Bui; Hoangan Le; Ducduong Pham (ICAISC (1), 2024)

Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets Without Generating Candidates. - Vanha Tran; Thiloan Bui; Ducanh Khuat (ICCCI (2), 2024)

MPCD: An Algorithm for Discovering Multilevel Prevalent Co-location Patterns from Heterogeneous Distribution of Spatial Datasets. - Vanha Tran; Thiloan Bui; Hoangan Le (ICCSA (2), 2024)

Efficiently Mining High Average Utility Co-location Patterns Using Maximal Cliques and Pruning Strategies. - Vanha Tran; Thiloan Bui; Thaigiang Do; Hoangan Le (MICAI (1), 2024)

Implementation of a License Plate Recognition System in Vietnam Using Embedding Devices. - Vanha Tran; Thiloan Bui (MIWAI (2), 2024)

A New Method of Mining High Utility Co-location Patterns from Spatial Data. - Vanha Tran; Thiloan Bui; Thaigiang Do; Hoangan Le (MIWAI (2), 2024)

Discovering High Average Utility Co-location Patterns Using an Upper Bound Utility and a Hierarchical Instance Tree. - Vanha Tran; Thiloan Bui; Hoangan Le (MIWAI (2), 2024)

Mining Prevalent Co-location Patterns with Multiple Minimum Prevalence Thresholds. - Vanha Tran; Thiloan Bui; Thaigiang Do; Hoangan Le (PKAW, 2024)

Efficient Redundancy Elimination to Discovering Concise Prevalent Co-location Patterns. - Vanha Tran; Vanluan Nguyen (PKAW, 2024)

Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-Wise Clustering and MC-Hash Structure. - Vanha Tran; Muquan Zou; Thiloan Bui; Thaigiang Do; Ducanh Khuat; Hoangan Le (ICSI, 2024)

A High Utility Co-location Pattern Mining Algorithm Using Multiple Utility Thresholds. - Vanha Tran; Thiloan Bui; Thaigiang Do; Hoangan Le (WISE (1), 2024)

MTRM: A Web-Miner Multi-Threshold Mining Co-location Patterns to Mitigate Redundancy. - Muquan Zou; Vanluan Nguyen; Vanha Tran; Ducanh Khuat; Thiloan Bui (WISE (PhD Symposium, Demos and Workshops), 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 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)

Celebrity Hairstyle Recommendation System with Hairstyle Transfer. - Long Vu Pham; Vanha Tran; Truongminh Ngo (ICIT, 2025)

A common and efficient algorithm for discovering high utility co-location patterns and their concise representation from massive spatial data. - Thiloan Bui; Vanha Tran; Thaigiang Do; Hoangan Le; Truongminh Ngo (J. Supercomput., 2025)