Myungjae Shin

Orcid: 0000-0001-6505-1448

According to our database1, Myungjae Shin authored at least 20 papers between 2018 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023
Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset.
Comput. Biol. Medicine, April, 2023

2022
Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles.
J. Commun. Networks, December, 2022

Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control.
IEEE Trans. Ind. Informatics, 2022

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control.
CoRR, 2022

2021
Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems.
IEEE Trans. Veh. Technol., 2021

Dynamic video delivery using deep reinforcement learning for device-to-device underlaid cache-enabled Internet-of-vehicle networks.
J. Commun. Networks, 2021

Adversarial Imitation Learning via Random Search in Lane Change Decision-Making.
CoRR, 2021

Bitcoin Price Forecasting via Ensemble-based LSTM Deep Learning Networks.
Proceedings of the International Conference on Information Networking, 2021

Joint Behavioral Cloning and Reinforcement Learning Method for Propofol and Remifentanil Infusion in Anesthesia.
Proceedings of the International Conference on Information Networking, 2021

Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms.
Proceedings of the International Conference on Information Networking, 2021

2020
Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach.
IEEE Trans. Ind. Informatics, 2020

XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning.
CoRR, 2020

2019
Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks.
IEEE Trans. Veh. Technol., 2019

Adversarial Imitation Learning via Random Search.
Proceedings of the International Joint Conference on Neural Networks, 2019

Randomized Adversarial Imitation Learning for Autonomous Driving.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Joint Offloading and Streaming in Mobile Edges: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2019

2018
Recipient-Oriented Transaction for Preventing Double Spending Attacks in Private Blockchain.
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

Neural Network Syntax Analyzer for Embedded Standardized Deep Learning.
Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018

Top-down parsing for Neural Network Exchange Format (NNEF) in TensorFlow-based deep learning computation.
Proceedings of the 2018 International Conference on Information Networking, 2018


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