Nguyen Le Hoang

Orcid: 0000-0002-3351-8960

According to our database1, Nguyen Le Hoang authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

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Bibliography

2024
SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication.
CoRR, 2024

Compositionality and Generalization in Emergent Communication Using Metropolis-Hastings Naming Game.
Proceedings of the IEEE International Conference on Development and Learning, 2024

2023
Enhancing Big Data Conversion Validation with Alpha-Lightweight Coreset.
SN Comput. Sci., November, 2023

Emergent communication through Metropolis-Hastings naming game with deep generative models.
Adv. Robotics, October, 2023

Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game.
Frontiers Robotics AI, 2023

2022
Alpha Lightweight Coreset for k-Means Clustering.
Proceedings of the 16th International Conference on Ubiquitous Information Management and Communication, 2022

Implement the Data Conversion System by Using α-Lightweight Coreset for Validation Process.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

2021
An Elastic Data Conversion Framework: A Case Study for MySQL and MongoDB.
SN Comput. Sci., 2021

Intermediate Data Format for the Elastic Data Conversion Framework.
Proceedings of the 15th International Conference on Ubiquitous Information Management and Communication, 2021

2020
A Comparative Study of the Some Methods Used in Constructing Coresets for Clustering Large Datasets.
SN Comput. Sci., 2020

A Farthest First Traversal based Sampling Algorithm for k-clustering.
Proceedings of the 14th International Conference on Ubiquitous Information Management and Communication, 2020

An Elastic Data Conversion Framework for Data Integration System.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020

2019
A Comparative Study of the Use of Coresets for Clustering Large Datasets.
Proceedings of the Future Data and Security Engineering - 6th International Conference, 2019


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