| 2024 | NOMS | S-Witch: Switch Configuration Assistant with LLM and Prompt Engineering. | Eui-Dong Jeong, Heegon Kim, Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2024 | NOMS | SFC Consolidation: Energy-aware SFC Management using Deep Reinforcement Learning. | Eui-Dong Jeong, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2024 | NOMS | AI-based Network Function Virtualization Orchestration. | Heegon Kim, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2024 | NOMS | Log-TF-IDF for Anomaly Detection in Network Switches. | Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2024 | NOMS | Towards Intent-based Configuration for Network Function Virtualization using In-context Learning in Large Language Models. | Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2023 | APNOMS | Network Traffic Prediction and Auto-Scaling of SFC using Temporal Fusion Transformer. | Minji Choi, Heegon Kim, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2023 | CNSM | SDN Lullaby: VM Consolidation for SDN using Transformer-Based Deep Reinforcement Learning. | Eui-Dong Jeong, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2023 | CNSM | Log Analysis and Prediction for Anomaly Detection in Network Switches. | Sukhyun Nam, Euidong Jeong, Jibum Hong, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2022 | APNOMS | Adaptive Ensemble Learning-based Network Resource Workload Prediction for VNF Lifecycle Management. | Khizar Abbas, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2022 | APNOMS | Updating VNF deployment with Scaling Actions using Reinforcement Algorithms. | Namjin Seo, DongNyeong Heo, Jibum Hong, Heegon Kim, Jae-Hyoung Yoo, James Won-Ki Hong, Heeyoul Choi |
| 2022 | CNSM | VM Failure Prediction with Log Analysis using BERT-CNN Model. | Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2021 | APNOMS | Virtual Machine Failure Prediction using Log Analysis. | Sukhyun Nam, Jibum Hong, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2021 | CNSM | Proactive Live Migration for Virtual Network Functions using Machine Learning. | Seyeon Jeong, Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2021 | CNSM | EdgeDQN: Multiple SFC Placement in Edge Computing Environment. | Suman Pandey, Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2021 | IM | Streaming Pattern Based Feature Extraction for Training Neural Network Classifier to Predict Quality of VOD services. | Suman Pandey, Mi-Jung Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2021 | NetSoft | Reinforcement Learning based Load Balancing for Data Center Networks. | Jiyoon Lim, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2021 | NetSoft | GRU and EdgeQ-Learning based Traffic Prediction and Scaling of SFC. | Suman Pandey, James Won-Ki Hong, Jae-Hyoung Yoo |
| 2020 | APNOMS | Graph Neural Network-based Virtual Network Function Management. | Heegon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, DongNyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2020 | APNOMS | Q-learning based Service Function Chaining using VNF Resource-aware Reward Model. | Doyoung Lee, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2020 | APNOMS | Load Balancing Algorithm with Programmable Switch. | Jiyoon Lim, Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2020 | APNOMS | Q-Learning based SFC deployment on Edge Computing Environment. | Suman Pandey, James Won-Ki Hong, Jae-Hyoung Yoo |
| 2020 | APNOMS | Machine Learning-based Optimal VNF Deployment. | Suhyun Park, Heegon Kim, Jibum Hong, Stanislav Lange, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2020 | APNOMS | Real-time Monitoring of Packet Processing Time for Virtual Network Functions. | Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2020 | CNSM | Machine Learning based SLA-Aware VNF Anomaly Detection for Virtual Network Management. | Jibum Hong, Suhyun Park, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2020 | CNSM | Graph Neural Network-based Virtual Network Function Deployment Prediction. | Heegon Kim, Suhyun Park, DongNyeong Heo, Stanislav Lange, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2020 | CNSM | Deep Q-Networks based Auto-scaling for Service Function Chaining. | Doyoung Lee, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2020 | CNSM | Best nexthop Load Balancing Algorithm with Inband network telemetry. | Jiyoon Lim, Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2020 | CNSM | Environment Aware Adaptive Q-Learning to Deploy SFC on Edge Computing. | Suman Pandey, James W. Hong, Jae-Hyoung Yoo |
| 2020 | CNSM | Measuring End-to-end Packet Processing Time in Service Function Chaining. | Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | APNOMS | Design and Implementation of Container-based M-CORD Monitoring System. | Jibum Hong, Woojoong Kim, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | APNOMS | Machine Learning based Link State Aware Service Function Chaining. | Seyeon Jeong, Heegon Kim, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | APNOMS | Machine Learning-based Prediction of VNF Deployment Decisions in Dynamic Networks. | Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | APNOMS | eVNF - Hybrid Virtual Network Functions with Linux eXpress Data Path. | Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | CNSM | Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions. | Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | CNSM | Building Hybrid Virtual Network Functions with eXpress Data Path. | Nguyen Van Tu, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | IM | Design and Implementation of Virtual TAP for SDN-based OpenStack networking. | Seyeon Jeong, Jae-Hyoung Yoo, James W. Hong |
| 2019 | NetSoft | A Deep Learning Approach to VNF Resource Prediction using Correlation between VNFs. | Heegon Kim, Seyeon Jeong, Doyoung Lee, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | NetSoft | Machine Learning-Based Method for Prediction of Virtual Network Function Resource Demands. | Heegon Kim, Doyoung Lee, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2018 | CNSM | Design and Implementation of eBPF-based Virtual TAP for Inter-VM Traffic Monitoring. | Jibum Hong, Seyeon Jeong, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2018 | CNSM | INTCollector: A High-performance Collector for In-band Network Telemetry. | Nguyen Van Tu, Jonghwan Hyun, Ga Yeon Kim, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2016 | APNOMS | ICBMS SM: A Smart Mediator for mashup service development. | Doyoung Lee, Seyeon Jeong, Taeyeol Jeong, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2016 | CNSM | An intent-based network virtualization platform for SDN. | Yoonseon Han, Jian Li, Doan Hoang, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2016 | NetSoft | FLAME: Flow level traffic matrix estimation using poisson shot-noise process for SDN. | Yoonseon Han, Taeyeol Jeong, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2016 | NetSoft | Measurement and analysis of application-level crowd-sourced LTE and LTE-A networks. | Jonghwan Hyun, Youngjoon Won, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2016 | NOMS | Is LTE-Advanced really advanced? | Jonghwan Hyun, Youngjoon Won, Eunji Kim, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2015 | APNOMS | IPv4 and IPv6 performance comparison in IPv6 LTE network. | Jonghwan Hyun, Jian Li, Hwankuk Kim, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2015 | APNOMS | PID-based adaptive control plane management method for software-defined networks. | Jian Li, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2015 | IM | Poisson shot-noise process based flow-level traffic matrix generation for data center networks. | Yoonseon Han, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2015 | IM | A high performance VoLTE traffic classification method using HTCondor. | Jonghwan Hyun, Jian Li, ChaeTae Im, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2015 | NetSoft | SAVE: Energy-aware Virtual Data Center embedding and Traffic Engineering using SDN. | Yoonseon Han, Jian Li, Jae Yoon Chung, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2015 | NetSoft | Experience on the development of LISP-enabled services: An ISP perspective. | Taeyeol Jeong, Jian Li, Jonghwan Hyun, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2014 | APNOMS | Software defined networking-based traffic engineering for data center networks. | Yoonseon Han, Sin-Seok Seo, Jian Li, Jonghwan Hyun, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2014 | APNOMS | A VoLTE traffic classification method in LTE network. | Jonghwan Hyun, Jian Li, ChaeTae Im, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2014 | APNOMS | Multi-objective optimization-based traffic engineering for data center networks. | Taeyeol Jeong, Sin-Seok Seo, Jae Yoon Chung, Bernard Niyonteze, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2014 | NOMS | Flow-level traffic matrix generation for various data center networks. | Yoonseon Han, Sin-Seok Seo, Chan Kyou Hwang, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2014 | NOMS | Scalable failover method for Data Center Networks using OpenFlow. | Jian Li, Jonghwan Hyun, Jae-Hyoung Yoo, Seongbok Baik, James Won-Ki Hong |
| 2011 | APNOMS | User-friendly bottleneck detection algorithm. | Ju-Won Park, Hakgyun Roh, Chan Kyou Hwang, Jae-Hyoung Yoo |
| 2011 | ICCCN | Opportunistic Fair Parallel Download Protocol. | Ju-Won Park, Chan Kyou Hwang, Jae-Hyoung Yoo, Roger P. Karrer |
| 2009 | APNOMS | Experience in Developing a Prototype for WiBro Service Quality Management System. | Dae-Woo Kim, Hyun-Min Lim, Jae-Hyoung Yoo, Sang-Ha Kim |
| 2009 | APNOMS | Volume Traffic Anomaly Detection Using Hierarchical Clustering. | Choonho Son, Seok-Hyung Cho, Jae-Hyoung Yoo |
| 2007 | APNOMS | A Mechanism of KEDB-Centric Fault Management to Optimize the Realization of ITIL Based ITSM. | Bom Soo Kim, Young Dae Kim, Chan Kyou Hwang, Jae-Hyoung Yoo |
| 2006 | APNOMS | Intelligent Home Network Service Management Platform Design Based on OSGi Framework. | Choon-Gul Park, Jae-Hyoung Yoo, Seunghak Seok, Ju-Hee Park, Hoen-In Lim |
| 2002 | NOMS | Distributed networking system for Internet access service. | Daniel Won-Kyu Hong, Joong-Goo Song, Jae-Hyoung Yoo, Woo-Sung Kim, Choong Seon Hong |
| 2002 | NOMS | An integrated service and network management system for point-to-multipoint reservation service in an ATM network. | Daniel Won-Kyu Hong, Jae-Hyoung Yoo, Woo-Sung Kim, Choong Seon Hong |