| Quantum neural networks: Concepts, applications, and challenges Y Kwak, WJ Yun, S Jung, J Kim 2021 Twelfth International Conference on Ubiquitous and Future Networks …, 2021 | 66 | 2021 |
| Introduction to quantum reinforcement learning: Theory and pennylane-based implementation Y Kwak, WJ Yun, S Jung, JK Kim, J Kim 2021 international conference on information and communication technology …, 2021 | 46 | 2021 |
| Quantum multi-agent reinforcement learning via variational quantum circuit design WJ Yun, Y Kwak, JP Kim, H Cho, S Jung, J Park, J Kim 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 40 | 2022 |
| Quantum distributed deep learning architectures: Models, discussions, and applications Y Kwak, WJ Yun, JP Kim, H Cho, J Park, M Choi, S Jung, J Kim ICT Express 9 (3), 486-491, 2023 | 31 | 2023 |
| Joint superposition coding and training for federated learning over multi-width neural networks H Baek, WJ Yun, Y Kwak, S Jung, M Ji, M Bennis, J Park, J Kim IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 1729-1738, 2022 | 27 | 2022 |
| Quantum scheduling for millimeter-wave observation satellite constellation J Kim, Y Kwak, S Jung, JH Kim 2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS), 1-5, 2021 | 19 | 2021 |
| SlimFL: Federated learning with superposition coding over slimmable neural networks WJ Yun, Y Kwak, H Baek, S Jung, M Ji, M Bennis, J Park, J Kim IEEE/ACM Transactions on Networking, 2023 | 13 | 2023 |
| Quantum Heterogeneous Distributed Deep Learning Architectures: Models, Discussions, and Applications Y Kwak, WJ Yun, JP Kim, H Cho, M Choi, S Jung, J Kim CoRR, abs/2202.11200, 2022 | 2 | 2022 |
