Energy or Traffic: Which One to Transfer. - Hyun-Suk Lee 001; Duck-Hyun Bae; Jang-Won Lee 001 (VTC Fall, 2015)

Contextual learning for unit commitment with renewable energy sources. - Hyun-Suk Lee 001; Cem Tekin; Mihaela van der Schaar; Jang-Won Lee 001 (GlobalSIP, 2016)

Energy Cooperation and Traffic Management in Cellular Networks with Renewable Energy. - Hyun-Suk Lee 001; Jang-Won Lee 001 (GLOBECOM, 2016)

QoS and channel-aware distributed link scheduling for D2D communication. - Hyun-Suk Lee 001; Jang-Won Lee 001 (WiOpt, 2016)

QC2LinQ: QoS and Channel-Aware Distributed Link Scheduler for D2D Communication. - Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE Trans. Wirel. Commun., 2016)

Task Offloading in Heterogeneous Mobile Cloud Computing: Modeling, Analysis, and Cloudlet Deployment. - Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE Access, 2018)

SARA: Sparse Code Multiple Access-Applied Random Access for IoT Devices. - Seokjae Moon; Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE Internet Things J., 2018)

Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources. - Hyun-Suk Lee 001; Cem Tekin; Mihaela van der Schaar; Jang-Won Lee 001 (IEEE J. Sel. Top. Signal Process., 2018)

Resource and Task Scheduling for SWIPT IoT Systems With Renewable Energy Sources. - Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE Internet Things J., 2019)

Contextual Learning-Based Wireless Power Transfer Beam Scheduling for IoT Devices. - Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE Internet Things J., 2019)

Waveform Design for Fair Wireless Power Transfer With Multiple Energy Harvesting Devices. - Kyeongwon Kim; Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE J. Sel. Areas Commun., 2019)

Dual Amplitude Shift Keying With Double Half-Wave Rectifier for SWIPT. - Do-Yup Kim; Hyun-Suk Lee 001; Kyeongwon Kim; Jang-Won Lee 001 (IEEE Wirel. Commun. Lett., 2019)

Contextual Constrained Learning for Dose-Finding Clinical Trials. - Hyun-Suk Lee 001; Cong Shen 001; James Jordon; Mihaela van der Schaar (AISTATS, 2020)

Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. - Hyun-Suk Lee 001; Yao Zhang; William R. Zame; Cong Shen 001; Jang-Won Lee 001; Mihaela van der Schaar (NeurIPS, 2020)

Adaptive Wireless Power Transfer Beam Scheduling for Non-Static IoT Devices Using Deep Reinforcement Learning. - Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE Access, 2020)

Resource Allocation in Wireless Networks With Deep Reinforcement Learning: A Circumstance-Independent Approach. - Hyun-Suk Lee 001; Jin-Young Kim; Jang-Won Lee 001 (IEEE Syst. J., 2020)

Adaptive Traffic Management and Energy Cooperation in Renewable-Energy-Powered Cellular Networks. - Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE Syst. J., 2020)

EHLinQ: Distributed Scheduler for D2D Communication With RF Energy Harvesting. - Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE Syst. J., 2020)

Opportunistic Waveform Scheduling for Wireless Power Transfer With Multiple Devices. - Kyeongwon Kim; Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE Trans. Wirel. Commun., 2020)

SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. - Hyun-Suk Lee 001; Cong Shen 001; William R. Zame; Jang-Won Lee 001; Mihaela van der Schaar (AISTATS, 2021)

Enhanced Random Access for Massive-Machine-Type Communications. - Byung-Hyun Lee 001; Hyun-Suk Lee 001; Seokjae Moon; Jang-Won Lee 001 (IEEE Internet Things J., 2021)

Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning. - Hyun-Suk Lee 001; Jang-Won Lee 001 (IEEE J. Sel. Areas Commun., 2021)

Channel Metamodeling for Explainable Data-Driven Channel Model. - Hyun-Suk Lee 001 (IEEE Wirel. Commun. Lett., 2021)

System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy. - Hyun-Suk Lee 001 (AISTATS, 2022)

Resource allocation in wireless networks with federated learning: Network adaptability and learning acceleration. - Hyun-Suk Lee 001; Da-Eun Lee (ICT Express, 2022)

Contextual-Learning-Based Waveform Scheduling for Wireless Power Transfer With Limited Feedback. - Kyeongwon Kim; Hyun-Suk Lee 001; Rui Zhang 006; Jang-Won Lee 001 (IEEE Internet Things J., 2022)

Device Selection and Resource Allocation for Layerwise Federated Learning in Wireless Networks. - Hyun-Suk Lee 001 (IEEE Syst. J., 2022)

Radio and Energy Resource Management in Renewable Energy-Powered Wireless Networks With Deep Reinforcement Learning. - Hyun-Suk Lee 001; Do-Yup Kim; Jang-Won Lee 001 (IEEE Trans. Wirel. Commun., 2022)

Efficient Federated Digital Twin Synchronization in Edge-Cloud Collaborative System. - Ji-Wan Kim; Hong Je-Gal; Hyun-Suk Lee 001 (MetaCom, 2023)

Dynamic Joint Scheduling of Anycast Transmission and Modulation in Hybrid Unicast-Multicast SWIPT-Based IoT Sensor Networks. - Do-Yup Kim; Chae-Bong Sohn; Hyun-Suk Lee 001 (CoRR, 2023)

Robust Energy Management System With Safe Reinforcement Learning Using Short-Horizon Forecasts. - Seong-Hyun Hong; Hyun-Suk Lee 001 (IEEE Trans. Smart Grid, 2023)

Packet-Based Fronthauling in 5G Networks: Network Slicing-Aware Packetization. - Hyun-Suk Lee 001; Seokjae Moon; Do-Yup Kim; Jang-Won Lee 001 (IEEE Commun. Stand. Mag., 2023)

Meta-Scheduling Framework With Cooperative Learning Toward Beyond 5G. - Kyungsik Min; Yunjoo Kim; Hyun-Suk Lee 001 (IEEE J. Sel. Areas Commun., 2023)

Multi-Residential Energy Scheduling Under Time-of-Use and Demand Charge Tariffs With Federated Reinforcement Learning. - Jae-Hoon Lee; Ji-Yoon Park; Hoon-Seong Sim; Hyun-Suk Lee 001 (IEEE Trans. Smart Grid, 2023)

LAB-CNN: LoD-specific Attention-based Branch Convolutional Neural Network for Digital Twin. - Ji-Wan Kim; Kyu-Sik Kim; Hyun-Suk Lee 001 (MetaCom, 2024)

A Novel Data-Driven Soft Sensor in Metaverse Provisioning Predictive Credibility Based on Uncertainty Quantification. - Seong-Ho Park; Hong Je-Gal; Hyun-Suk Lee 001 (MetaCom, 2024)

Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification. - Hyun-Suk Lee 001; Do-Yup Kim; Kyungsik Min (CoRR, 2024)

A review on label cleaning techniques for learning with noisy labels. - Jongmin Shin; Jonghyeon Won; Hyun-Suk Lee 001; Jang-Won Lee 001 (ICT Express, 2024)

Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning. - Do-Yup Kim; Da-Eun Lee; Ji-Wan Kim; Hyun-Suk Lee 001 (IEEE Internet Things J., 2024)

Universal Dynamic Pilot Allocation for Beam Alignment Based on Multi-Armed Bandits. - Hyun-Suk Lee 001; Do-Yup Kim; Kyungsik Min (IEEE Wirel. Commun. Lett., 2024)

Early Exiting-Aware Joint Resource Allocation and DNN Splitting for Multisensor Digital Twin in Edge-Cloud Collaborative System. - Ji-Wan Kim; Hyun-Suk Lee 001 (IEEE Internet Things J., 2024)

A review on multi-fidelity hyperparameter optimization in machine learning. - Jonghyeon Won; Hyun-Suk Lee 001; Jang-Won Lee 001 (ICT Express, 2025)

Beam Alignment for Non-Stationary Environments Using a Novel Time-Varying Structured Bandit. - Kyungsik Min; Hyun-Seo Park; Hyun-Suk Lee 001 (IEEE Trans. Veh. Technol., 2025)