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ORCIDHyun-Suk Lee 0001
Person information
- affiliation: Sejong University, Department of Artificial Intelligence and Robotics, Seoul, South Korea
- affiliation (former): University of Cambridge, Department of Applied Mathematics and Theoretical Physics, Cambridge, UK
- affiliation (former, PhD 2018): Yonsei University, Seoul, South Korea
Other persons with the same name
- Hyunsuk Lee (aka: Hyun-suk Lee, Hyun-Suk Lee, Hyun Suk Lee) — disambiguation page
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2020 – today
- 2026
[j32]Hyun-Suk Lee
, Seong-Ho Park, Sung-Yeon Kim:
Cost-Efficient Sensing With Self-Improving Soft Sensor Based on Predictive Uncertainty Estimation in IoT Environments. IEEE Internet Things J. 13(2): 3055-3068 (2026)- 2025
- [j31]Jonghyeon Won, Hyun-Suk Lee, Jang-Won Lee:
A review on multi-fidelity hyperparameter optimization in machine learning. ICT Express 11(1): 245-257 (2025) - [j30]Kyungsik Min, Hyun-Seo Park, Hyun-Suk Lee:
Beam Alignment for Non-Stationary Environments Using a Novel Time-Varying Structured Bandit. IEEE Trans. Veh. Technol. 74(4): 6727-6732 (2025) - [j29]Hyun-Suk Lee, Do-Yup Kim, Kyungsik Min:
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification. IEEE Trans. Veh. Technol. 74(12): 19927-19932 (2025) - 2024
- [j28]Jongmin Shin, Jonghyeon Won, Hyun-Suk Lee, Jang-Won Lee:
A review on label cleaning techniques for learning with noisy labels. ICT Express 10(6): 1315-1330 (2024) - [j27]Do-Yup Kim, Da-Eun Lee, Ji-Wan Kim, Hyun-Suk Lee:
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning. IEEE Internet Things J. 11(6): 10133-10149 (2024) - [j26]Ji-Wan Kim, Hyun-Suk Lee:
Early Exiting-Aware Joint Resource Allocation and DNN Splitting for Multisensor Digital Twin in Edge-Cloud Collaborative System. IEEE Internet Things J. 11(22): 36933-36949 (2024) - [j25]Hyun-Suk Lee, Do-Yup Kim, Kyungsik Min:
Universal Dynamic Pilot Allocation for Beam Alignment Based on Multi-Armed Bandits. IEEE Wirel. Commun. Lett. 13(3): 756-760 (2024) - [c11]Seong-Ho Park, Hong Je-Gal, Hyun-Suk Lee:
A Novel Data-Driven Soft Sensor in Metaverse Provisioning Predictive Credibility Based on Uncertainty Quantification. MetaCom 2024: 285-290 - [c10]Ji-Wan Kim, Kyu-Sik Kim, Hyun-Suk Lee:
LAB-CNN: LoD-specific Attention-based Branch Convolutional Neural Network for Digital Twin. MetaCom 2024: 310-315 - [i8]Hyun-Suk Lee, Do-Yup Kim, Kyungsik Min:
Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification. CoRR abs/2401.13206 (2024) - 2023
- [j24]Hyun-Suk Lee, Seokjae Moon, Do-Yup Kim, Jang-Won Lee:
Packet-Based Fronthauling in 5G Networks: Network Slicing-Aware Packetization. IEEE Commun. Stand. Mag. 7(2): 56-63 (2023) - [j23]Kyungsik Min, Yunjoo Kim, Hyun-Suk Lee:
Meta-Scheduling Framework With Cooperative Learning Toward Beyond 5G. IEEE J. Sel. Areas Commun. 41(6): 1810-1824 (2023) - [j22]Seong-Hyun Hong, Hyun-Suk Lee:
Robust Energy Management System With Safe Reinforcement Learning Using Short-Horizon Forecasts. IEEE Trans. Smart Grid 14(3): 2485-2488 (2023) - [j21]Jae-Hoon Lee, Ji-Yoon Park, Hoon-Seong Sim, Hyun-Suk Lee:
Multi-Residential Energy Scheduling Under Time-of-Use and Demand Charge Tariffs With Federated Reinforcement Learning. IEEE Trans. Smart Grid 14(6): 4360-4372 (2023) - [c9]Ji-Wan Kim, Hong Je-Gal, Hyun-Suk Lee:
Efficient Federated Digital Twin Synchronization in Edge-Cloud Collaborative System. MetaCom 2023: 714-719 - [i7]Do-Yup Kim, Da-Eun Lee, Ji-Wan Kim, Hyun-Suk Lee:
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning. CoRR abs/2307.00541 (2023) - [i6]Do-Yup Kim, Chae-Bong Sohn, Hyun-Suk Lee:
Dynamic Joint Scheduling of Anycast Transmission and Modulation in Hybrid Unicast-Multicast SWIPT-Based IoT Sensor Networks. CoRR abs/2307.10263 (2023) - 2022
- [j20]Hyun-Suk Lee, Da-Eun Lee:
Resource allocation in wireless networks with federated learning: Network adaptability and learning acceleration. ICT Express 8(1): 31-36 (2022) - [j19]Kyeongwon Kim, Hyun-Suk Lee, Rui Zhang, Jang-Won Lee:
Contextual-Learning-Based Waveform Scheduling for Wireless Power Transfer With Limited Feedback. IEEE Internet Things J. 9(17): 15578-15592 (2022) - [j18]Hyun-Suk Lee:
Device Selection and Resource Allocation for Layerwise Federated Learning in Wireless Networks. IEEE Syst. J. 16(4): 6441-6444 (2022) - [j17]Hyun-Suk Lee, Do-Yup Kim, Jang-Won Lee:
Radio and Energy Resource Management in Renewable Energy-Powered Wireless Networks With Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. 21(7): 5435-5449 (2022) - [c8]Hyun-Suk Lee:
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy. AISTATS 2022: 169-187 - [i5]Hyun-Suk Lee:
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy. CoRR abs/2201.07051 (2022) - 2021
- [j16]Byung-Hyun Lee, Hyun-Suk Lee, Seokjae Moon, Jang-Won Lee:
Enhanced Random Access for Massive-Machine-Type Communications. IEEE Internet Things J. 8(8): 7046-7064 (2021) - [j15]Hyun-Suk Lee, Jang-Won Lee:
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning. IEEE J. Sel. Areas Commun. 39(12): 3673-3687 (2021) - [j14]Hyun-Suk Lee:
Channel Metamodeling for Explainable Data-Driven Channel Model. IEEE Wirel. Commun. Lett. 10(12): 2678-2682 (2021) - [c7]Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar:
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. AISTATS 2021: 2980-2988 - [i4]Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar:
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. CoRR abs/2101.10998 (2021) - [i3]Hyun-Suk Lee, Jang-Won Lee:
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning. CoRR abs/2103.01422 (2021) - 2020
- [j13]Hyun-Suk Lee, Jang-Won Lee:
Adaptive Wireless Power Transfer Beam Scheduling for Non-Static IoT Devices Using Deep Reinforcement Learning. IEEE Access 8: 206659-206673 (2020) - [j12]Hyun-Suk Lee, Jang-Won Lee:
Adaptive Traffic Management and Energy Cooperation in Renewable-Energy-Powered Cellular Networks. IEEE Syst. J. 14(1): 132-143 (2020) - [j11]Hyun-Suk Lee, Jang-Won Lee:
EHLinQ: Distributed Scheduler for D2D Communication With RF Energy Harvesting. IEEE Syst. J. 14(2): 2281-2292 (2020) - [j10]Hyun-Suk Lee, Jin-Young Kim, Jang-Won Lee:
Resource Allocation in Wireless Networks With Deep Reinforcement Learning: A Circumstance-Independent Approach. IEEE Syst. J. 14(2): 2589-2592 (2020) - [j9]Kyeongwon Kim, Hyun-Suk Lee, Jang-Won Lee:
Opportunistic Waveform Scheduling for Wireless Power Transfer With Multiple Devices. IEEE Trans. Wirel. Commun. 19(9): 5651-5665 (2020) - [c6]Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar:
Contextual Constrained Learning for Dose-Finding Clinical Trials. AISTATS 2020: 2645-2654 - [c5]Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar:
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. NeurIPS 2020 - [i2]Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar:
Contextual Constrained Learning for Dose-Finding Clinical Trials. CoRR abs/2001.02463 (2020) - [i1]Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar:
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. CoRR abs/2006.07917 (2020)
2010 – 2019
- 2019
- [j8]Hyun-Suk Lee, Jang-Won Lee:
Resource and Task Scheduling for SWIPT IoT Systems With Renewable Energy Sources. IEEE Internet Things J. 6(2): 2729-2748 (2019) - [j7]Hyun-Suk Lee, Jang-Won Lee:
Contextual Learning-Based Wireless Power Transfer Beam Scheduling for IoT Devices. IEEE Internet Things J. 6(6): 9606-9620 (2019) - [j6]Kyeongwon Kim, Hyun-Suk Lee, Jang-Won Lee:
Waveform Design for Fair Wireless Power Transfer With Multiple Energy Harvesting Devices. IEEE J. Sel. Areas Commun. 37(1): 34-47 (2019) - [j5]Do-Yup Kim, Hyun-Suk Lee, Kyeongwon Kim, Jang-Won Lee:
Dual Amplitude Shift Keying With Double Half-Wave Rectifier for SWIPT. IEEE Wirel. Commun. Lett. 8(4): 1020-1023 (2019) - 2018
- [j4]Hyun-Suk Lee, Jang-Won Lee:
Task Offloading in Heterogeneous Mobile Cloud Computing: Modeling, Analysis, and Cloudlet Deployment. IEEE Access 6: 14908-14925 (2018) - [j3]Seokjae Moon, Hyun-Suk Lee, Jang-Won Lee:
SARA: Sparse Code Multiple Access-Applied Random Access for IoT Devices. IEEE Internet Things J. 5(4): 3160-3174 (2018) - [j2]Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee:
Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources. IEEE J. Sel. Top. Signal Process. 12(4): 688-702 (2018) - 2016
- [j1]Hyun-Suk Lee, Jang-Won Lee:
QC2LinQ: QoS and Channel-Aware Distributed Link Scheduler for D2D Communication. IEEE Trans. Wirel. Commun. 15(12): 8565-8579 (2016) - [c4]Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee:
Contextual learning for unit commitment with renewable energy sources. GlobalSIP 2016: 866-870 - [c3]Hyun-Suk Lee, Jang-Won Lee:
Energy Cooperation and Traffic Management in Cellular Networks with Renewable Energy. GLOBECOM 2016: 1-6 - [c2]Hyun-Suk Lee, Jang-Won Lee:
QoS and channel-aware distributed link scheduling for D2D communication. WiOpt 2016: 131-138 - 2015
- [c1]Hyun-Suk Lee, Duck-Hyun Bae, Jang-Won Lee:
Energy or Traffic: Which One to Transfer. VTC Fall 2015: 1-5
Coauthor Index
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