Graph Neural Network based Service Function Chaining for Automatic Network Control. - DongNyeong Heo; Stanislav Lange; Heegon Kim; Heeyoul Choi (APNOMS, 2020)

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 (APNOMS, 2020)

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 (CNSM, 2020)

Reinforcement Learning of Graph Neural Networks for Service Function Chaining. - DongNyeong Heo; Doyoung Lee; Heegon Kim; Suhyun Park; Heeyoul Choi (CoRR, 2020)

Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains. - Chungjun Lee; Jibum Hong; DongNyeong Heo; Heeyoul Choi (ICTC, 2021)

Adversarial Training with Contrastive Learning in NLP. - Daniela N. Rim; DongNyeong Heo; Heeyoul Choi (CoRR, 2021)

Graph neural network-based virtual network function deployment optimization. - Heegon Kim; Suhyun Park; Stanislav Lange; Doyoung Lee; DongNyeong Heo; Heeyoul Choi; Jae-Hyoung Yoo; James Won-Ki Hong (Int. J. Netw. Manag., 2021)

Reinforcement Learning of Graph Neural Networks for Service Function Chaining in Computer Network Management. - DongNyeong Heo; Doyoung Lee; Heegon Kim; Suhyun Park; Heeyoul Choi (APNOMS, 2022)

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 (APNOMS, 2022)

End-to-End Training of Both Translation Models in the Back-Translation Framework. - DongNyeong Heo; Heeyoul Choi (CoRR, 2022)

Advanced Scaling Methods for VNF deployment with Reinforcement Learning. - Namjin Seo; DongNyeong Heo; Heeyoul Choi (CoRR, 2023)

Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation. - DongNyeong Heo; Heeyoul Choi (CoRR, 2023)

End-To-End Training of Back-Translation Framework with Categorical Reparameterization Trick. - DongNyeong Heo; Heeyoul Choi (ICANN (7), 2024)

Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda. - Richard Kimera; DongNyeong Heo; Daniela N. Rim; Heeyoul Choi (NLPIR, 2024)

Anomaly detection based on system text logs of virtual network functions. - Daniela N. Rim; DongNyeong Heo; Chungjun Lee; Sukhyun Nam; Jae-Hyoung Yoo; James Won-Ki Hong; Heeyoul Choi (Big Data Res., 2024)

N-gram Prediction and Word Difference Representations for Language Modeling. - DongNyeong Heo; Daniela Noemi Rim; Heeyoul Choi (CoRR, 2024)

Generalized Probabilistic Attention Mechanism in Transformers. - DongNyeong Heo; Heeyoul Choi (CoRR, 2024)

Dynamic Preference Multi-Objective Reinforcement Learning for Internet Network Management. - DongNyeong Heo; Daniela Noemi Rim; Heeyoul Choi (CoRR, 2025)