DongNyeong Heo

According to our database, DongNyeong Heo authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generalized Probabilistic Attention Mechanism in Transformers.

DongNyeong Heo, Heeyoul Choi

CoRR, 2024

N-gram Prediction and Word Difference Representations for Language Modeling.

DongNyeong Heo, Daniela Noemi Rim, Heeyoul Choi

CoRR, 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

End-To-End Training of Back-Translation Framework with Categorical Reparameterization Trick.

DongNyeong Heo, Heeyoul Choi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation.

DongNyeong Heo, Heeyoul Choi

CoRR, 2023

Advanced Scaling Methods for VNF deployment with Reinforcement Learning.

Namjin Seo, DongNyeong Heo, Heeyoul Choi

CoRR, 2023

2022

End-to-End Training of Both Translation Models in the Back-Translation Framework.

DongNyeong Heo, Heeyoul Choi

CoRR, 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

Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

Reinforcement Learning of Graph Neural Networks for Service Function Chaining in Computer Network Management.

DongNyeong Heo, Doyoung Lee, Heegon Kim, Suhyun Park, Heeyoul Choi

Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

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

Adversarial Training with Contrastive Learning in NLP.

Daniela N. Rim, DongNyeong Heo, Heeyoul Choi

CoRR, 2021

Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains.

Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2020

Reinforcement Learning of Graph Neural Networks for Service Function Chaining.

DongNyeong Heo, Doyoung Lee, Heegon Kim, Suhyun Park, Heeyoul Choi

CoRR, 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

Proceedings of the 16th International Conference on Network and Service Management, 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

Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020

Graph Neural Network based Service Function Chaining for Automatic Network Control.

DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi

Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020