Towards ONOS-based SDN monitoring using in-band network telemetry. - Nguyen Van Tu; Jonghwan Hyun; James Won-Ki Hong (APNOMS, 2017)

Architecture for building hybrid kernel-user space virtual network functions. - Nguyen Van Tu; Kyungchan Ko; James Won-Ki Hong (CNSM, 2017)

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 (CNSM, 2018)

Towards knowledge-defined networking using in-band network telemetry. - Jonghwan Hyun; Nguyen Van Tu; James Won-Ki Hong (NOMS, 2018)

eVNF - Hybrid Virtual Network Functions with Linux eXpress Data Path. - Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (APNOMS, 2019)

Building Hybrid Virtual Network Functions with eXpress Data Path. - Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (CNSM, 2019)

Real-time and fine-grained network monitoring using in-band network telemetry. - Jonghwan Hyun; Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (Int. J. Netw. Manag., 2019)

Real-time Monitoring of Packet Processing Time for Virtual Network Functions. - Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (APNOMS, 2020)

Measuring End-to-end Packet Processing Time in Service Function Chaining. - Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (CNSM, 2020)

Accelerating Virtual Network Functions With Fast-Slow Path Architecture Using eXpress Data Path. - Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (IEEE Trans. Netw. Serv. Manag., 2020)

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

EdgeDQN: Multiple SFC Placement in Edge Computing Environment. - Suman Pandey; Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (CNSM, 2021)

Machine Learning-Based Auto-Scaler for Video Conferencing Systems. - Petra Gabriela; Doyoung Lee; Nguyen Van Tu; James Won-Ki Hong (NetSoft, 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)

PPTMon: Real-Time and Fine-Grained Packet Processing Time Monitoring in Virtual Network Functions. - Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (IEEE Trans. Netw. Serv. Manag., 2021)

Supervised Anomaly Detection in Crude Oil Stabilization. - Mattia Silvestri; Michele Lombardi 001; Emiliano Mucchi; Luca Cadei; Giovanna Magnago; Marco Piantanida; Valentina D'Ottavio; Nguyen Van Tu; Simona Duma; Silvia Taddei; Annagiulia Tiozzo; Andrea Corneo; et al. (PAIS@ECAI, 2022)

Autonomous DRL-based energy efficient VM consolidation for cloud data centers. - Khizar Abbas; Jibum Hong; Nguyen Van Tu; Jae-Hyoung Yoo; James Won-Ki Hong (Phys. Commun., 2022)

Improve Video Conferencing Quality with Deep Reinforcement Learning. - Nguyen Van Tu; Kyungchan Ko; Sangwoo Ryu; Sangtae Ha; James Won-Ki Hong (NOMS, 2023)

Optimizing Video Conferencing QoS: A DRL-based Bitrate Allocation Framework. - Kyungchan Ko; Sangwoo Ryu; Nguyen Van Tu; James Won-Ki Hong (NOMS, 2024)

Towards Effective Reinforcement Learning in Video Conferencing using Network Status Data and Model Analysis. - Sangwoo Ryu; Kyungchan Ko; Nguyen Van Tu; James Won-Ki Hong (NOMS, 2024)

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 (NOMS, 2024)

LLM-Based AI Agent for VNF Deployment in OpenStack Environment. - Sukhyun Nam; Nguyen Van Tu; James Won-Ki Hong (NOMS, 2025)

Intent-Based Network Configuration Using Large Language Models. - Nguyen Van Tu; Sukhyun Nam; James Won-Ki Hong (Int. J. Netw. Manag., 2025)

DRAFAS: Dynamic Resource Allocation for AI-Native Services. - Nguyen Van Tu; Sukhyun Nam; Lizhuang Tan; James Won-Ki Hong (J. Netw. Syst. Manag., 2025)