Hyun-Suk Lee
Orcid: 0000-0001-5885-1711Affiliations:
- Sejong University, Department of Artificial Intelligence and Robotics, Seoul, South Korea
- University of Cambridge, Department of Applied Mathematics and Theoretical Physics, Cambridge, UK (former)
- Yonsei University, Seoul, South Korea (former, PhD 2018)
According to our database1,
Hyun-Suk Lee
authored at least 43 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on mainlab.kr
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Bibliography
2025
Beam Alignment for Non-Stationary Environments Using a Novel Time-Varying Structured Bandit.
IEEE Trans. Veh. Technol., April, 2025
ICT Express, 2025
2024
Early Exiting-Aware Joint Resource Allocation and DNN Splitting for Multisensor Digital Twin in Edge-Cloud Collaborative System.
IEEE Internet Things J., November, 2024
IEEE Wirel. Commun. Lett., March, 2024
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning.
IEEE Internet Things J., March, 2024
ICT Express, 2024
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification.
CoRR, 2024
A Novel Data-Driven Soft Sensor in Metaverse Provisioning Predictive Credibility Based on Uncertainty Quantification.
Proceedings of the IEEE International Conference on Metaverse Computing, 2024
LAB-CNN: LoD-specific Attention-based Branch Convolutional Neural Network for Digital Twin.
Proceedings of the IEEE International Conference on Metaverse Computing, 2024
2023
Multi-Residential Energy Scheduling Under Time-of-Use and Demand Charge Tariffs With Federated Reinforcement Learning.
IEEE Trans. Smart Grid, November, 2023
IEEE J. Sel. Areas Commun., June, 2023
IEEE Commun. Stand. Mag., June, 2023
Robust Energy Management System With Safe Reinforcement Learning Using Short-Horizon Forecasts.
IEEE Trans. Smart Grid, May, 2023
Dynamic Joint Scheduling of Anycast Transmission and Modulation in Hybrid Unicast-Multicast SWIPT-Based IoT Sensor Networks.
CoRR, 2023
Proceedings of the IEEE International Conference on Metaverse Computing, 2023
2022
Radio and Energy Resource Management in Renewable Energy-Powered Wireless Networks With Deep Reinforcement Learning.
IEEE Trans. Wirel. Commun., 2022
Device Selection and Resource Allocation for Layerwise Federated Learning in Wireless Networks.
IEEE Syst. J., 2022
Contextual-Learning-Based Waveform Scheduling for Wireless Power Transfer With Limited Feedback.
IEEE Internet Things J., 2022
Resource allocation in wireless networks with federated learning: Network adaptability and learning acceleration.
ICT Express, 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE Wirel. Commun. Lett., 2021
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning.
IEEE J. Sel. Areas Commun., 2021
IEEE Internet Things J., 2021
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
IEEE Trans. Wirel. Commun., 2020
IEEE Syst. J., 2020
Adaptive Traffic Management and Energy Cooperation in Renewable-Energy-Powered Cellular Networks.
IEEE Syst. J., 2020
Resource Allocation in Wireless Networks With Deep Reinforcement Learning: A Circumstance-Independent Approach.
IEEE Syst. J., 2020
Adaptive Wireless Power Transfer Beam Scheduling for Non-Static IoT Devices Using Deep Reinforcement Learning.
IEEE Access, 2020
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
IEEE Wirel. Commun. Lett., 2019
Waveform Design for Fair Wireless Power Transfer With Multiple Energy Harvesting Devices.
IEEE J. Sel. Areas Commun., 2019
IEEE Internet Things J., 2019
IEEE Internet Things J., 2019
2018
Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources.
IEEE J. Sel. Top. Signal Process., 2018
IEEE Internet Things J., 2018
Task Offloading in Heterogeneous Mobile Cloud Computing: Modeling, Analysis, and Cloudlet Deployment.
IEEE Access, 2018
2016
QC<sup>2</sup>LinQ: QoS and Channel-Aware Distributed Link Scheduler for D2D Communication.
IEEE Trans. Wirel. Commun., 2016
Proceedings of the 14th International Symposium on Modeling and Optimization in Mobile, 2016
Energy Cooperation and Traffic Management in Cellular Networks with Renewable Energy.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
2015
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015