Deep Reinforcement Learning Driven Aggregate Flow Entries Eviction in Software Defined Networking. - Junhan Zang 001; Syed M. Raza; Hyunseung Choo; Gyurin Byun; Moonseong Kim (ICOIN, 2023)

GAN vs. LSTM: Network State Prediction. - Gyurin Byun; Syed M. Raza; Huigyu Yang; Moonseong Kim; Hyunseung Choo (IMCOM, 2023)

Proactive Network Traffic Prediction using Generative Adversarial Network. - Gyurin Byun; Van Vi Vo; Syed M. Raza; Duc-Tai Le; Huigyu Yang; Hyunseung Choo (ICOIN, 2024)

Data Augmentation Framework for Improving Image Recognition Using cycleGAN. - Sangmin Kim; Selome Tesfaye Deribe; Gyurin Byun; Kyeongjin Joo; Jeongwon Pyo 001; Taeyong Kuc 001; Hyunseung Choo (IMCOM, 2024)

AI-Driven Traffic-Aware Dynamic TDD Configuration in B5G Networks. - Sanguk Jeong; Dahyun Mok; Gyurin Byun; Lusungu Josh Mwasinga; Hyunseung Choo (NOMS, 2024)

Generative spatiotemporal image exploitation for datacenter traffic prediction. - Gyurin Byun; Huigyu Yang; Syed M. Raza; Moonseong Kim; Min Young Chung; Hyunseung Choo (Comput. Networks, 2024)

Dynamic Network Optimization with Deep Learning and Deployment of Intelligent Reflecting Surfaces. - Nayeon Jang; Jeonghoon Bae; Tao Tianyu; Gyurin Byun; Phuoc-Nguyen Bui; Tae-Jin Lee 001; Hyunseung Choo (IMCOM, 2025)

Spatiotemporal Traffic Analysis: Deep Hybrid Approach for Resource and Cyberattacks Prediction. - Hyeonmin Lee; Dongchan Kim; Donggyu Beom; Gyurin Byun; Van Vi Vo; Hyunseung Choo (IMCOM, 2025)

Respiratory Anomaly and Disease Detection Using Multi-Level Temporal Convolutional Networks. - Kim-Ngoc Thi Le; Gyurin Byun; Syed M. Raza; Duc-Tai Le; Hyunseung Choo (IEEE J. Biomed. Health Informatics, 2025)