Task offloading in heterogeneous mobile cloud computing: Modeling, analysis, and cloudlet deployment HS Lee, JW Lee Ieee Access 6, 14908-14925, 2018 | 61 | 2018 |
SARA: Sparse code multiple access-applied random access for IoT devices S Moon, HS Lee, JW Lee IEEE Internet of Things Journal 5 (4), 3160-3174, 2018 | 47 | 2018 |
Machine learning for clinical trials in the era of COVID-19 WR Zame, I Bica, C Shen, A Curth, HS Lee, S Bailey, J Weatherall, ... Statistics in Biopharmaceutical Research 12 (4), 506-517, 2020 | 45 | 2020 |
Resource and task scheduling for SWIPT IoT systems with renewable energy sources HS Lee, JW Lee IEEE Internet of Things Journal 6 (2), 2729-2748, 2018 | 32 | 2018 |
Waveform design for fair wireless power transfer with multiple energy harvesting devices KW Kim, HS Lee, JW Lee IEEE Journal on Selected Areas in Communications 37 (1), 34-47, 2018 | 26 | 2018 |
Resource allocation in wireless networks with deep reinforcement learning: A circumstance-independent approach HS Lee, JY Kim, JW Lee IEEE Systems Journal 14 (2), 2589-2592, 2019 | 23 | 2019 |
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning HS Lee, JW Lee IEEE Journal on Selected Areas in Communications 39 (12), 3673-3687, 2021 | 21 | 2021 |
Method for transmitting and receiving data in wireless communication system, and device therefor E Lee, H Lee, BAE Duckhyun, J Lee US Patent 10,609,696, 2020 | 15 | 2020 |
Contextual learning-based wireless power transfer beam scheduling for IoT devices HS Lee, JW Lee IEEE Internet of Things Journal 6 (6), 9606-9620, 2019 | 14 | 2019 |
Adaptive contextual learning for unit commitment in microgrids with renewable energy sources HS Lee, C Tekin, M Van Der Schaar, JW Lee IEEE Journal of Selected Topics in Signal Processing 12 (4), 688-702, 2018 | 14 | 2018 |
Opportunistic waveform scheduling for wireless power transfer with multiple devices KW Kim, HS Lee, JW Lee IEEE Transactions on Wireless Communications 19 (9), 5651-5665, 2020 | 13 | 2020 |
Contextual constrained learning for dose-finding clinical trials HS Lee, C Shen, J Jordon, M Schaar International Conference on Artificial Intelligence and Statistics, 2645-2654, 2020 | 11 | 2020 |
Robust recursive partitioning for heterogeneous treatment effects with uncertainty quantification HS Lee, Y Zhang, W Zame, C Shen, JW Lee, M van der Schaar Advances in Neural Information Processing Systems 33, 2282-2292, 2020 | 11 | 2020 |
Adaptive traffic management and energy cooperation in renewable-energy-powered cellular networks HS Lee, JW Lee IEEE Systems Journal 14 (1), 132-143, 2019 | 11 | 2019 |
Enhanced random access for massive-machine-type communications BH Lee, HS Lee, S Moon, JW Lee IEEE Internet of Things Journal 8 (8), 7046-7064, 2020 | 7 | 2020 |
Adaptive wireless power transfer beam scheduling for non-static IoT devices using deep reinforcement learning HS Lee, JW Lee IEEE Access 8, 206659-206673, 2020 | 7 | 2020 |
Energy cooperation and traffic management in cellular networks with renewable energy HS Lee, JW Lee 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016 | 7 | 2016 |
EHLinQ: Distributed scheduler for D2D communication with RF energy harvesting HS Lee, JW Lee IEEE Systems Journal 14 (2), 2281-2292, 2019 | 6 | 2019 |
Dual amplitude shift keying with double half-wave rectifier for SWIPT DY Kim, HS Lee, KW Kim, JW Lee IEEE Wireless Communications Letters 8 (4), 1020-1023, 2019 | 6 | 2019 |
SDF-Bayes: cautious optimism in safe dose-finding clinical trials with drug combinations and heterogeneous patient groups HS Lee, C Shen, W Zame, JW Lee, M van der Schaar International Conference on Artificial Intelligence and Statistics, 2980-2988, 2021 | 5 | 2021 |