Heeyoul Choi

Orcid: 0000-0002-0855-8725

According to our database1, Heeyoul Choi authored at least 58 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Graph neural network-based virtual network function deployment optimization.
Int. J. Netw. Manag., 2023

Fast Training of NMT Model with Data Sorting.
CoRR, 2023

Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation.
CoRR, 2023

Advanced Scaling Methods for VNF deployment with Reinforcement Learning.
CoRR, 2023

Building a Parallel Corpus and Training Translation Models Between Luganda and English.
CoRR, 2023

Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Fine-Tuning BERT on Twitter and Reddit Data in Luganda and English.
Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023

Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda.
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

2022
End-to-End Training of Both Translation Models in the Back-Translation Framework.
CoRR, 2022

Partitioning Image Representation in Contrastive Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Updating VNF deployment with Scaling Actions using Reinforcement Algorithms.
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.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022

2021
Systematic Review for AI-based Language Learning Tools.
CoRR, 2021

Adversarial Training with Contrastive Learning in NLP.
CoRR, 2021

Deep Neural Networks and End-to-End Learning for Audio Compression.
CoRR, 2021

Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2020
Understanding dropout as an optimization trick.
Neurocomputing, 2020

Reinforcement Learning of Graph Neural Networks for Service Function Chaining.
CoRR, 2020

Graph Neural Network-based Virtual Network Function Deployment Prediction.
Proceedings of the 16th International Conference on Network and Service Management, 2020

Graph Neural Network-based Virtual Network Function Management.
Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020

Graph Neural Network based Service Function Chaining for Automatic Network Control.
Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020

2019
Persistent hidden states and nonlinear transformation for long short-term memory.
Neurocomputing, 2019

Active Search for Nearest Neighbors.
CoRR, 2019

Network Intrusion Detection based on LSTM and Feature Embedding.
CoRR, 2019

Self-Knowledge Distillation in Natural Language Processing.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Machine Learning-Based Method for Prediction of Virtual Network Function Resource Demands.
Proceedings of the 5th IEEE Conference on Network Softwarization, 2019

A Deep Learning Approach to VNF Resource Prediction using Correlation between VNFs.
Proceedings of the 5th IEEE Conference on Network Softwarization, 2019

Disentangling Latent Factors of Variational Auto-encoder with Whitening.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions.
Proceedings of the 15th International Conference on Network and Service Management, 2019

Machine Learning-based Prediction of VNF Deployment Decisions in Dynamic Networks.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

2018
Fine-grained attention mechanism for neural machine translation.
Neurocomputing, 2018

Disentangling Latent Factors with Whitening.
CoRR, 2018

Alpha-Pooling for Convolutional Neural Networks.
CoRR, 2018

Gradient Acceleration in Activation Functions.
CoRR, 2018

Fast Depthwise Separable Convolution for Embedded Systems.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Context-dependent word representation for neural machine translation.
Comput. Speech Lang., 2017

2016
A Neural Knowledge Language Model.
CoRR, 2016

2015
RNNDROP: A novel dropout for RNNS in ASR.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014
Localization and regularization of normalized transfer entropy.
Neurocomputing, 2014

Data visualization for asymmetric relations.
Neurocomputing, 2014

2013
Parameter Learning for Alpha Integration.
Neural Comput., 2013

Sound-based real-time context recognition on smartphone.
Proceedings of the IEEE International Conference on Consumer Electronics, 2013

2012
Dynamic learning for visual representation of asymmetric proximity.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
From Data Streams to Information Flow: Information Exchange in Child-Parent Interaction.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Manifold Alpha-Integration.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Alpha-integration of multiple evidence.
Proceedings of the IEEE International Conference on Acoustics, 2010

Learning alpha-integration with partially-labeled data.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection.
Proceedings of the International Joint Conference on Neural Networks, 2009

Probabilistic Combination of Multiple Evidence.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Gesture Recognition Based on Manifold Learning.
Proceedings of the Structural, 2008

Kernel oriented discriminant analysis for speaker-independent phoneme spaces.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Sketch Recognition Based on Manifold Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Manifold Integration with Markov Random Walks.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Robust kernel Isomap.
Pattern Recognit., 2007

A relative trust-region algorithm for independent component analysis.
Neurocomputing, 2007

2006
Relative Gradient Learning for Independent Subspace Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Relative trust region learning for ICA.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


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