Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation. - Joongheon Kim; Yunseok Kwak; Soyi Jung; Jae-Hyun Kim (APWCS, 2021)

Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. - Yunseok Kwak; Won Joon Yun; Soyi Jung; Jong-Kook Kim; Joongheon Kim (ICTC, 2021)

Quantum Neural Networks: Concepts, Applications, and Challenges. - Yunseok Kwak; Won Joon Yun; Soyi Jung; Joongheon Kim (ICUFN, 2021)

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design. - Won Joon Yun; Yunseok Kwak; Jae Pyoung Kim; Hyunhee Cho; Soyi Jung; Jihong Park; Joongheon Kim (ICDCS, 2022)

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. - Hankyul Baek; Won Joon Yun; Yunseok Kwak; Soyi Jung; Mingyue Ji; Mehdi Bennis; Jihong Park; Joongheon Kim (INFOCOM, 2022)

Quantum Heterogeneous Distributed Deep Learning Architectures: Models, Discussions, and Applications. - Yunseok Kwak; Won Joon Yun; Jae Pyoung Kim; Hyunhee Cho; Minseok Choi; Soyi Jung; Joongheon Kim (CoRR, 2022)

Quantum distributed deep learning architectures: Models, discussions, and applications. - Yunseok Kwak; Won Joon Yun; Jae Pyoung Kim; Hyunhee Cho; Jihong Park; Minseok Choi; Soyi Jung; Joongheon Kim (ICT Express, 2023)

SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks. - Won Joon Yun; Yunseok Kwak; Hankyul Baek; Soyi Jung; Mingyue Ji; Mehdi Bennis; Jihong Park; Joongheon Kim (IEEE/ACM Trans. Netw., 2023)