Hyun-Kyo Lim

Orcid: 0000-0002-8807-1158

According to our database1, Hyun-Kyo Lim authored at least 21 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Virtual Network Embedding Based on Hierarchical Cooperative Multiagent Reinforcement Learning.
IEEE Internet Things J., 2024

Graph-Powered Reinforcement Learning for Intelligent Task Offloading in Vehicular Networks.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

2023
Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach.
J. Cloud Comput., December, 2023

Reinforcement learning-based virtual network embedding: A comprehensive survey.
ICT Express, October, 2023

Dual Policy-Based TD-Learning for Model Predictive Control.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

2022
Deep RNN-based network traffic classification scheme in edge computing system.
Comput. Sci. Inf. Syst., 2022

Optimal Task Offloading with Deep Q-Network for Edge-Cloud Computing Environment.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

2021
Federated Reinforcement Learning Acceleration Method for Precise Control of Multiple Devices.
IEEE Access, 2021

Feature Correlation-based Data Fusion using Dempster-Shafer Evidence Theory for WSN.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Ego Network-based Virtual Network Embedding Scheme for Revenue Maximization.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2021

2020
Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices.
Sensors, 2020

Federated Reinforcement Learning for Automatic Control in SDN-based IoT Environments.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Federated Reinforcement Learning for Controlling Multiple Rotary Inverted Pendulums in Edge Computing Environments.
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

2019
Imitation Reinforcement Learning-Based Remote Rotary Inverted Pendulum Control in OpenFlow Network.
IEEE Access, 2019

Packet-based Network Traffic Classification Using Deep Learning.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

Deep Q-Network Based Rotary Inverted Pendulum System and Its Monitoring on the EdgeX Platform.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

2017
A SDN-based distributed mobility management in LTE/EPC network.
J. Supercomput., 2017

Hierarchical Location Caching Scheme for Mobile Object Tracking in the Internet of Things.
J. Inf. Process. Syst., 2017

2016
Implementation of the Block2 Option Transfer for Resource Observing with the CoAPthon Library.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016

Finding Meaningful Chronological Pattern of Key Words in Computer Science Bibliography.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016

2015
A Distributed Mobility Support in SDN-Based LTE/EPC Architecture.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2015


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