| Deep learning-based limited feedback designs for MIMO systems J Jang, H Lee, S Hwang, H Ren, I Lee IEEE Wireless Communications Letters 9 (4), 558-561, 2019 | 33 | 2019 |
| Multi-agent deep reinforcement learning for distributed resource management in wirelessly powered communication networks S Hwang, H Kim, H Lee, I Lee IEEE Transactions on Vehicular Technology 69 (11), 14055-14060, 2020 | 21 | 2020 |
| Decentralized computation offloading with cooperative UAVs: Multi-agent deep reinforcement learning perspective S Hwang, H Lee, J Park, I Lee IEEE Wireless Communications 29 (4), 24-31, 2022 | 13 | 2022 |
| Deep reinforcement learning approach for uav-assisted mobile edge computing networks S Hwang, J Park, H Lee, M Kim, I Lee GLOBECOM 2022-2022 IEEE Global Communications Conference, 3839-3844, 2022 | 9 | 2022 |
| Time switching protocol for multi-antenna SWIPT systems S Kang, H Lee, S Hwang, I Lee 2020 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2020 | 6 | 2020 |
| Deep recurrent Q-network methods for Mmwave beam tracking systems J Park, S Hwang, H Lee, I Lee IEEE Transactions on Vehicular Technology 71 (12), 13429-13434, 2022 | 3 | 2022 |
| A codebook design for FD-MIMO systems with multi-panel array Z Fu, S Hwang, J Moon, H Ren, I Lee IEEE Transactions on Vehicular Technology 71 (12), 13366-13371, 2022 | 2 | 2022 |
| Covert Communications in Two-way Relay Systems with Energy Harvesting Z Fu, B Ju, J Moon, S Hwang, I Lee 2022 13th International Conference on Information and Communication …, 2022 | 1 | 2022 |
| Deep reinforcement learning approach for fairness-aware scheduling in wireless networks M Kim, S Hwang, I Lee 2022 13th International Conference on Information and Communication …, 2022 | 1 | 2022 |
| Decentralized Learning Framework for Hierarchical Wireless Networks: A Tree Neural Network Approach M Kim, H Lee, S Hwang, M Kim, M Debbah, I Lee IEEE Internet of Things Journal, 2024 | | 2024 |
Inkyu LeeSchool of Elec. Engeering, Korea UniversityVerified email at korea.ac.kr
