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ORCIDDongNyeong Heo
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2020 – today
- 2024
[j3]Daniela N. Rim
, DongNyeong Heo, Chungjun Lee, Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong, Heeyoul Choi:
Anomaly detection based on system text logs of virtual network functions. Big Data Res. 38: 100485 (2024)- [c7]DongNyeong Heo, Heeyoul Choi:
End-To-End Training of Back-Translation Framework with Categorical Reparameterization Trick. ICANN (7) 2024: 177-193 - [i9]DongNyeong Heo, Daniela Noemi Rim, Heeyoul Choi:
N-gram Prediction and Word Difference Representations for Language Modeling. CoRR abs/2409.03295 (2024) - [i8]DongNyeong Heo, Heeyoul Choi:
Generalized Probabilistic Attention Mechanism in Transformers. CoRR abs/2410.15578 (2024) - 2023
- [j2]Heegon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, DongNyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong:
Graph neural network-based virtual network function deployment optimization. Int. J. Netw. Manag. 33(1) (2023) - [i7]Namjin Seo, DongNyeong Heo, Heeyoul Choi:
Advanced Scaling Methods for VNF deployment with Reinforcement Learning. CoRR abs/2301.08325 (2023) - [i6]DongNyeong Heo, Heeyoul Choi:
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation. CoRR abs/2305.03511 (2023) - 2022
- [c6]DongNyeong Heo, Doyoung Lee, Heegon Kim, Suhyun Park, Heeyoul Choi:
Reinforcement Learning of Graph Neural Networks for Service Function Chaining in Computer Network Management. APNOMS 2022: 1-6 - [c5]Namjin Seo, DongNyeong Heo, Jibum Hong, Heegon Kim, Jae-Hyoung Yoo, James Won-Ki Hong, Heeyoul Choi:
Updating VNF deployment with Scaling Actions using Reinforcement Algorithms. APNOMS 2022: 1-4 - [i5]DongNyeong Heo, Heeyoul Choi:
End-to-End Training of Both Translation Models in the Back-Translation Framework. CoRR abs/2202.08465 (2022) - 2021
- [j1]Heegon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, DongNyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong:
Graph neural network-based virtual network function deployment optimization. Int. J. Netw. Manag. 31(6) (2021) - [c4]Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi:
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains. ICTC 2021: 1163-1168 - [i4]Daniela N. Rim, DongNyeong Heo, Heeyoul Choi:
Adversarial Training with Contrastive Learning in NLP. CoRR abs/2109.09075 (2021) - [i3]Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi:
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains. CoRR abs/2109.14276 (2021) - 2020
- [c3]DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi:
Graph Neural Network based Service Function Chaining for Automatic Network Control. APNOMS 2020: 7-12 - [c2]Heegon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, DongNyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong:
Graph Neural Network-based Virtual Network Function Management. APNOMS 2020: 13-18 - [c1]Heegon Kim, Suhyun Park, DongNyeong Heo, Stanislav Lange, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong:
Graph Neural Network-based Virtual Network Function Deployment Prediction. CNSM 2020: 1-7 - [i2]DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi:
Graph Neural Network based Service Function Chaining for Automatic Network Control. CoRR abs/2009.05240 (2020) - [i1]DongNyeong Heo, Doyoung Lee, Heegon Kim, Suhyun Park, Heeyoul Choi:
Reinforcement Learning of Graph Neural Networks for Service Function Chaining. CoRR abs/2011.08406 (2020)
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