Ki-Ho Lee, Hyun-Ho Choi*, and Jung-Ryun Lee*,
"Embedding Multiplexing Gain from Semantic Similarity via Signed User-Wise Attention",
IEEE Transactions on Signal ProcessingSubmitted
Ki-Ho Lee, Hyun-Ho Choi*, and Jung-Ryun Lee*,
"Relevance-Aware Semantic Multiple Access via Meta-Learned User-Wise Cross-Attention",
IEEE Transactions on CommunicationsSubmitted
Ki-Ho Lee, Hyun-Ho Choi*, and Jung-Ryun Lee*,
"Semantic Multiplexing Gain in Wireless Systems via Expanded Embeddings: A BERT Case Study",
IEEE Communications LettersUnder Revision
Ki-Ho Lee, Hyun-Ho Choi*, and Jung-Ryun Lee*,
"AI-Native Multi-User Semantic Waveforms via Meta-Learned Attention for Channel Dynamics",
IEEE Transactions on CommunicationsSubmitted
Ki-Ho Lee, Hyun-Ho Choi*, and Jung-Ryun Lee*,
"Signed User-Wise Attention and Meta-Learning for 6G AI-RAN Multi-User Semantic Communications",
IEEE Journal on Selected Areas in CommunicationsSubmitted
Ki-Ho Lee, Hyun-Ho Choi*, and Jung-Ryun Lee*,
"Semantic Multiple Access via Structured Shared-Private Embeddings in Mobile Networks",
IEEE Transactions on Mobile ComputingUnder Revision
2026
Ki-Ho Lee, Hyun-Ho Choi*, and Jung-Ryun Lee*,
"Contrastive Embedding Multiplexing for Multi-User Semantic Communication Systems",
IEEE Signal Processing Letters,
vol. 33, pp. 3806-3810, Sep. 2026.
IF 3.6 · Top 39.1%
Ki-Ho Lee, Hyun-Ho Choi*, and Jung-Ryun Lee*,
"Context-Aware Embedding Masking Based on Reinforcement Learning for Semantic Multiplexing",
IEEE Wireless Communications Letters,
vol. 15, pp. 4459-4463, Aug. 2026.
IF 5.1 · Top 24.7%
Ki-Ho Lee, Hyun-Ho Choi*, and Jung-Ryun Lee*,
"Transformer-Based Shared Embedding for Scalable Multiple Access in Semantic Communications",
IEEE Journal on Selected Areas in Communications,
vol. 44, pp. 2622-2637, Feb. 2026.
IF 16.8 · Top 1.2%
2023
Junseung Lee, Hyun-Ho Choi*, Seung-Chan Lim, Hyungsub Kim, Jeehyeon Na, and Howon Lee*,
"Low-complexity Q-learning for Energy-aware Small-cell Networks with Integrated Access and Backhaul",
IEEE Access,
vol. 11, pp. 121529-121538, Oct. 2023.
IF 3.4 · Top 34.4%
Woongsup Lee, Howon Lee*, Hyun-Ho Choi*,
"Deep Learning-based Network-Wide Energy Efficiency Optimization in Ultra-Dense Small Cell Networks",
IEEE Trans. on Vehicular Technology,
vol. 72, no. 6, pp. 8244-8249, Jun. 2023.
IF 6.1 · Top 12.2%
2022
Howon Lee, Eunjin Kim, Hyungsub Kim, JeeHyeon Na, and Hyun-Ho Choi*,
"Multi-Agent Q-Learning Based Cell Breathing Considering SBS Collaboration for Maximizing Energy Efficiency in B5G Heterogeneous Networks",
Elsevier ICT Express,
vol. 8, no. 4, pp. 525-529, Dec. 2022.
IF 5.4 · Top 27.8%
Kyung-Seop Shin, Hyun-Ho Choi*, and Howon Lee*,
"Knowledge Transfer-based Multi-agent Q-learning for Medium Access in Dense Cellular Networks",
IEEE Wireless Communications Letters,
vol. 11, no. 12, pp. 2542-2545, Dec. 2022.
IF 6.3 · Top 17.6%
Kisong Lee, Hyun-Ho Choi*, Woongsup Lee*, and Victor C. M. Leung,
"Learning-Based Optimization of Wireless-Powered Two-Way Interference Channels With Imperfect CSI",
IEEE Internet of Things Journal,
vol. 9, no. 9, pp. 6934-6943, May. 2022.
IF 10.6 · Top 2.2%
Eunjin Kim, Hyun-Ho Choi*, Hyungsub Kim, JeeHyeon Na, and Howon Lee*,
"Optimal Resource Allocation Considering Non-Uniform Spatial Traffic Distribution in Ultra-Dense Networks: A Multi-Agent Reinforcement Learning Approach",
IEEE Access,
vol. 10, pp. 20455-20464, Feb. 2022.
IF 3.9 · Top 36.2%
2021
Woongsup Lee, Kisong Lee*, Hyun-Ho Choi*, and Victor C. M. Leung,
"Deep Learning for SWIPT: Optimization of Transmit-Harvest-Respond in Wireless-Powered Interference Channel",
IEEE Trans. on Wireless Communications,
vol. 20, no. 8, pp. 5018-5033, Aug. 2021.
IF 8.346 · Top 9.1%
2020
Kisong Lee, Jung-Ryun Lee*, and Hyun-Ho Choi*,
"Learning-based Joint Optimization of Transmit Power and Harvesting Time in Wireless-Powered Networks with Co-channel Interference",
IEEE Trans. on Vehicular Technology,
vol. 69, no. 3, pp. 3500-3504, Mar. 2020.
IF 5.978 · Top 11.5%