Meta Variance Transfer: Learning to Augment from the Others. - Seong-Jin Park; Seungju Han 001; Ji-Won Baek; Insoo Kim; Juhwan Song; Haebeom Lee; Jae-Joon Han; Sung Ju Hwang (ICML, 2020)

O-RAN AI/ML Workflow Implementation of Personalized Network Optimization via Reinforcement Learning. - Hoejoo Lee; Youngcheol Jang; Juhwan Song; Hunje Yeon (GLOBECOM (Workshops), 2021)

Scenario Compaction and Ensemble with RAN Digital Twin for Efficient and Robust Learning. - Minsuk Choi; Yujin Nam; Juhwan Song; Haksung Kim; Jongwoo Choi; Seungyeon Lee; Seungku Han; Gihyun Kim; Seowoo Jang (GLOBECOM (Workshops), 2022)

Adaptive Generalized Proportional Fair Scheduling with Deep Reinforcement Learning. - Juhwan Song; Yujin Nam; Hyungtae Kwon; Ilsong Sim; Seung Joo Maeng; Seowoo Jang (GLOBECOM (Workshops), 2022)

C-DRX parameters optimization using Multi-Agent Reinforcement Learning with Self-attention. - Juhwan Song; Yujin Nam; Minsuk Choi; Yonghee Jo; Seungyeon Lee; Sanghyun Lee; Nakyoung Kim; Junghwan Lee; Seungmo Kim; Haksung Kim; Seowoo Jang (GLOBECOM, 2023)