| Machine learning-based method for prediction of virtual network function resource demands HG Kim, DY Lee, SY Jeong, H Choi, JH Yoo, JWK Hong 2019 IEEE conference on network softwarization (NetSoft), 405-413, 2019 | 50 | 2019 |
| Application-aware traffic engineering in software-defined network S Jeong, D Lee, J Hyun, J Li, JWK Hong 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2017 | 29 | 2017 |
| Deep q-networks based auto-scaling for service function chaining D Lee, JH Yoo, JWK Hong 2020 16th International Conference on Network and Service Management (CNSM), 1-9, 2020 | 26 | 2020 |
| A network intelligence architecture for efficient vnf lifecycle management S Lange, N Van Tu, SY Jeong, DY Lee, HG Kim, J Hong, JH Yoo, ... IEEE Transactions on Network and Service Management 18 (2), 1476-1490, 2020 | 26 | 2020 |
| Application-aware traffic management for openflow networks S Jeong, D Lee, J Choi, J Li, JWK Hong 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-5, 2016 | 18 | 2016 |
| A deep learning approach to vnf resource prediction using correlation between vnfs HG Kim, SY Jeong, DY Lee, H Choi, JH Yoo, JWK Hong 2019 IEEE Conference on Network Softwarization (NetSoft), 444-449, 2019 | 17 | 2019 |
| Deep Q‐network‐based auto scaling for service in a multi‐access edge computing environment DY Lee, SY Jeong, KC Ko, JH Yoo, JWK Hong International Journal of Network Management 31 (6), e2176, 2021 | 14 | 2021 |
| Q-learning based service function chaining using VNF resource-aware reward model D Lee, JH Yoo, JWK Hong 2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2020 | 10 | 2020 |
| Graph neural network‐based virtual network function deployment optimization HG Kim, S Park, S Lange, D Lee, D Heo, H Choi, JH Yoo, JWK Hong International Journal of Network Management 31 (6), e2164, 2021 | 7 | 2021 |
| Reinforcement learning of graph neural networks for service function chaining DN Heo, D Lee, HG Kim, S Park, H Choi arXiv preprint arXiv:2011.08406, 2020 | 7 | 2020 |
| Graph neural network-based virtual network function management HG Kim, S Park, S Lange, D Lee, D Heo, H Choi, JH Yoo, JWK Hong 2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2020 | 7 | 2020 |
| OpenFlow-based virtual TAP using open vSwitch and DPDK S Jeong, D Lee, J Li, JWK Hong NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2018 | 5 | 2018 |
| Icbms sm: A smart mediator for mashup service development D Lee, S Jeong, T Jeong, JH Yoo, JWK Hong 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-6, 2016 | 3 | 2016 |
| Machine learning-based auto-scaler for video conferencing systems P Gabriela, D Lee, N Van Tu, JWK Hong 2021 IEEE 7th International Conference on Network Softwarization (NetSoft …, 2021 | 1 | 2021 |
| Design of virtual gateway in virtual software defined networks D Lee, Y Han, JWK Hong 2017 13th International Conference on Network and Service Management (CNSM), 1-6, 2017 | 1 | 2017 |
| Graph neural network‐based virtual network function deployment optimization HG Kim, S Park, S Lange, D Lee, D Heo, H Choi, JH Yoo, JWK Hong International Journal of Network Management 33 (1), e2217, 2023 | | 2023 |
| Reinforcement Learning of Graph Neural Networks for Service Function Chaining in Computer Network Management DN Heo, D Lee, HG Kim, S Park, H Choi 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-6, 2022 | | 2022 |
| Auto-scaling of Network Services in Multi-access Edge Computing Environment D Lee | | 2021 |
| A hybrid live streaming mode for a reliable service D Son, D Lee, T Jeong, JWK Hong 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2017 | | 2017 |
| OpenAPI-based message router for mashup service development D Lee, S Jeong, JWK Hong 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2017 | | 2017 |
