26 citations · 39 across the 6 of their papers we have counts for
14 papers
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains
Chungjun Lee, Jibum Hong, DongNyeong Heo +1
Software-defined networking (SDN) and network function virtualization (NFV) have enabled the efficient provision of network service. However, they also raised new tasks to monitor…
Adversarial Training with Contrastive Learning in NLP
Daniela N. Rim, DongNyeong Heo, Heeyoul Choi
For years, adversarial training has been extensively studied in natural language processing (NLP) settings. The main goal is to make models robust so that similar inputs derive in…
Deep Neural Networks and End-to-End Learning for Audio Compression
Daniela N. Rim, Inseon Jang, Heeyoul Choi
Recent achievements in end-to-end deep learning have encouraged the exploration of tasks dealing with highly structured data with unified deep network models. Having such models fo…
Reinforcement Learning of Graph Neural Networks for Service Function Chaining
DongNyeong Heo, Doyoung Lee, Hee-Gon Kim +2
In the management of computer network systems, the service function chaining (SFC) modules play an important role by generating efficient paths for network traffic through physical…
Graph Neural Network based Service Function Chaining for Automatic Network Control
DongNyeong Heo, Stanislav Lange, Hee-Gon Kim +1
Software-defined networking (SDN) and the network function virtualization (NFV) led to great developments in software based control technology by decreasing expenditures. Service f…
Active Search for Nearest Neighbors
Hayoung Um, Heeyoul Choi
In pattern recognition or machine learning, it is a very fundamental task to find nearest neighbors of a given point. All the methods for the task work basically by comparing the g…