Application-aware Traffic Management for OpenFlow networks. - Seyeon Jeong; Doyoung Lee; Junemuk Choi; Jian Li 024; James Won-Ki Hong (APNOMS, 2016)

ICBMS SM: A Smart Mediator for mashup service development. - Doyoung Lee; Seyeon Jeong; Taeyeol Jeong; Jae-Hyoung Yoo; James Won-Ki Hong (APNOMS, 2016)

Application-aware traffic engineering in software-defined network. - Seyeon Jeong; Doyoung Lee; Jonghwan Hyun; Jian Li 024; James Won-Ki Hong (APNOMS, 2017)

OpenAPI-based message router for mashup service development. - Doyoung Lee; Seyeon Jeong; James Won-Ki Hong (APNOMS, 2017)

Design and Implementation of eBPF-based Virtual TAP for Inter-VM Traffic Monitoring. - Jibum Hong; Seyeon Jeong; Jae-Hyoung Yoo; James Won-Ki Hong (CNSM, 2018)

OpenFlow-based virtual TAP using open vSwitch and DPDK. - Seyeon Jeong; Doyoung Lee; Jian Li 024; James Won-Ki Hong (NOMS, 2018)

Machine Learning based Link State Aware Service Function Chaining. - Seyeon Jeong; Heegon Kim; Jae-Hyoung Yoo; James Won-Ki Hong (APNOMS, 2019)

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 (APNOMS, 2019)

Poster: Evaluating Code Coverage for System Call Fuzzers. - Seoyoung Kim; Seyeon Jeong; Mingi Cho; Soochang Chung; Taekyoung Kwon 002 (CCS, 2019)

Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions. - Stanislav Lange; Heegon Kim; Seyeon Jeong; Heeyoul Choi; Jae-Hyoung Yoo; James Won-Ki Hong (CNSM, 2019)

Design and Implementation of Virtual TAP for SDN-based OpenStack networking. - Seyeon Jeong; Jae-Hyoung Yoo; James W. Hong (IM, 2019)

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 (NetSoft, 2019)

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 (NetSoft, 2019)

Proactive Live Migration for Virtual Network Functions using Machine Learning. - Seyeon Jeong; Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (CNSM, 2021)

Toward Fast and Scalable Firmware Fuzzing With Dual-Level Peripheral Modeling. - Eunbi Hwang; Hyunseok Lee; Seyeon Jeong; Mingi Cho; Taekyoung Kwon 002 (IEEE Access, 2021)

Towards bidirectional LUT-level detection of hardware Trojans. - Mingi Cho; Jaedong Jang; Yezee Seo; Seyeon Jeong; Soochang Chung; Taekyoung Kwon 002 (Comput. Secur., 2021)

Deep Q-network-based auto scaling for service in a multi-access edge computing environment. - Doyoung Lee; Seyeon Jeong; Kyungchan Ko; Jae-Hyoung Yoo; James Won-Ki Hong (Int. J. Netw. Manag., 2021)

A Network Intelligence Architecture for Efficient VNF Lifecycle Management. - Stanislav Lange; Nguyen Van Tu; Seyeon Jeong; Doyoung Lee; Heegon Kim; Jibum Hong; Jae-Hyoung Yoo; James Won-Ki Hong (IEEE Trans. Netw. Serv. Manag., 2021)

PHI: Pseudo-HAL Identification for Scalable Firmware Fuzzing. - Seyeon Jeong; Eunbi Hwang; Yeongpil Cho; Taekyoung Kwon 002 (ICISC (2), 2023)

Fuzzing JavaScript Interpreters with Coverage-Guided Reinforcement Learning for LLM-Based Mutation. - Jueon Eom; Seyeon Jeong; Taekyoung Kwon 002 (ISSTA, 2024)

CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation. - Jueon Eom; Seyeon Jeong; Taekyoung Kwon 002 (CoRR, 2024)