A Comparative Study of the Use of Coresets for Clustering Large Datasets. - Nguyen Le Hoang; Tran Khanh Dang; Le Hong Trang (FDSE, 2019)

An Elastic Data Conversion Framework for Data Integration System. - Tran Khanh Dang; Manh Huy Ta; Nguyen Le Hoang (FDSE (CCIS Volume), 2020)

A Farthest First Traversal based Sampling Algorithm for k-clustering. - Le Hong Trang; Nguyen Le Hoang; Tran Khanh Dang (IMCOM, 2020)

A Comparative Study of the Some Methods Used in Constructing Coresets for Clustering Large Datasets. - Nguyen Le Hoang; Le Hong Trang; Tran Khanh Dang (SN Comput. Sci., 2020)

Intermediate Data Format for the Elastic Data Conversion Framework. - Tran Khanh Dang; Manh Huy Ta; Nguyen Le Hoang (IMCOM, 2021)

An Elastic Data Conversion Framework: A Case Study for MySQL and MongoDB. - Tran Khanh Dang; Manh Huy Ta; Ly Hoang Dang; Nguyen Le Hoang (SN Comput. Sci., 2021)

Implement the Data Conversion System by Using α-Lightweight Coreset for Validation Process. - Nguyen Le Hoang; Tran Khanh Dang; Thai San Dang (FDSE (CCIS Volume), 2022)

Alpha Lightweight Coreset for k-Means Clustering. - Nguyen Le Hoang; Tran Khanh Dang (IMCOM, 2022)

Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game. - Nguyen Le Hoang; Tadahiro Taniguchi; Yoshinobu Hagiwara; Akira Taniguchi (Frontiers Robotics AI, 2023)

Emergent communication through Metropolis-Hastings naming game with deep generative models. - Tadahiro Taniguchi; Yuto Yoshida; Yuta Matsui; Nguyen Le Hoang; Akira Taniguchi; Yoshinobu Hagiwara (Adv. Robotics, 2023)

Enhancing Big Data Conversion Validation with Alpha-Lightweight Coreset. - Nguyen Le Hoang; Tran Khanh Dang (SN Comput. Sci., 2023)

Compositionality and Generalization in Emergent Communication Using Metropolis-Hastings Naming Game. - Nguyen Le Hoang; Yuta Matsui; Yoshinobu Hagiwara; Akira Taniguchi; Tadahiro Taniguchi (ICDL, 2024)

SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication. - Nguyen Le Hoang; Tadahiro Taniguchi; Fang Tianwei; Akira Taniguchi (CoRR, 2024)