Heeyoul Choi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 50

Top Topics

Machine Translation

Reinforcement Learning

Top Venues

Publications

Richard Kimera, Daniela N. Rim, Joseph Kirabira, Ubong Godwin Udomah, Heeyoul Choi
Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda. CoRR (2024)
Daniela N. Rim, Heeyoul Choi
Empirical Study of Symmetrical Reasoning in Conversational Chatbots. CoRR (2024)
Richard Kimera, Yun-Seon Kim, Heeyoul Choi
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation. CoRR (2024)
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 (2024)
Daniela N. Rim, Richard Kimera, Heeyoul Choi
Fast Training of NMT Model with Data Sorting. CoRR (2023)
DongNyeong Heo, Heeyoul Choi
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation. CoRR (2023)
Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. CoRR (2023)
Richard Kimera, Daniela N. Rim, Heeyoul Choi
Building a Parallel Corpus and Training Translation Models Between Luganda and English. CoRR (2023)
Richard Kimera, Daniela N. Rim, Joseph Kirabira, Ubong Godwin Udomah, Heeyoul Choi
Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda. ICTC (2023)
Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. Robotics: Science and Systems (2023)
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)
Namjin Seo, DongNyeong Heo, Heeyoul Choi
Advanced Scaling Methods for VNF deployment with Reinforcement Learning. CoRR (2023)
Richard Kimera, Daniela N. Rim, Heeyoul Choi
Fine-Tuning BERT on Twitter and Reddit Data in Luganda and English. NLPIR (2023)
DongNyeong Heo, Heeyoul Choi
End-to-End Training of Both Translation Models in the Back-Translation Framework. CoRR (2022)
Hyunsub Lee, Heeyoul Choi
Partitioning Image Representation in Contrastive Learning. CoRR (2022)
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)
Hyunsub Lee, Heeyoul Choi
Partitioning Image Representation in Contrastive Learning. ICPR (2022)
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)
Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains. ICTC (2021)
Daniela N. Rim, DongNyeong Heo, Heeyoul Choi
Adversarial Training with Contrastive Learning in NLP. CoRR (2021)
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)
Jin Ha Woo, Heeyoul Choi
Systematic Review for AI-based Language Learning Tools. CoRR (2021)
Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains. CoRR (2021)
Daniela N. Rim, Inseon Jang, Heeyoul Choi
Deep Neural Networks and End-to-End Learning for Audio Compression. CoRR (2021)
Sangchul Hahn, Heeyoul Choi
Understanding dropout as an optimization trick. Neurocomputing 398 (2020)
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)
DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi
Graph Neural Network based Service Function Chaining for Automatic Network Control. CoRR (2020)
DongNyeong Heo, Doyoung Lee, Heegon Kim, Suhyun Park, Heeyoul Choi
Reinforcement Learning of Graph Neural Networks for Service Function Chaining. CoRR (2020)
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)
DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi
Graph Neural Network based Service Function Chaining for Automatic Network Control. APNOMS (2020)
Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyung Yoo, James Won-Ki Hong
Machine Learning-based Prediction of VNF Deployment Decisions in Dynamic Networks. APNOMS (2019)
Heegon Kim, Seyeon Jeong, Doyoung Lee, Heeyoul Choi, Jae-Hyung Yoo, James Won-Ki Hong
A Deep Learning Approach to VNF Resource Prediction using Correlation between VNFs. NetSoft (2019)
Heegon Kim, Doyoung Lee, Seyeon Jeong, Heeyoul Choi, Jae-Hyung Yoo, James Won-Ki Hong
Machine Learning-Based Method for Prediction of Virtual Network Function Resource Demands. NetSoft (2019)
Hyeokmin Gwon, Chungjun Lee, Rakun Keum, Heeyoul Choi
Network Intrusion Detection based on LSTM and Feature Embedding. CoRR (2019)
Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyung Yoo, James Won-Ki Hong
Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions. CNSM (2019)
Sangchul Hahn, Heeyoul Choi
Self-Knowledge Distillation in Natural Language Processing. RANLP (2019)
Heeyoul Choi
Persistent hidden states and nonlinear transformation for long short-term memory. Neurocomputing 331 (2019)
Hayoung Um, Heeyoul Choi
Active Search for Nearest Neighbors. CoRR (2019)
Sangchul Hahn, Heeyoul Choi
Self-Knowledge Distillation in Natural Language Processing. CoRR (2019)
Sangchul Hahn, Heeyoul Choi
Disentangling Latent Factors of Variational Auto-encoder with Whitening. ICANN (3) (2019)
Byeongheon Yoo, Yongjun Choi, Heeyoul Choi
Fast Depthwise Separable Convolution for Embedded Systems. ICONIP (7) (2018)
Sangchul Hahn, Heeyoul Choi
Gradient Acceleration in Activation Functions. CoRR (2018)
Sangchul Hahn, Heeyoul Choi
Disentangling Latent Factors with Whitening. CoRR (2018)
Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio
Fine-grained attention mechanism for neural machine translation. Neurocomputing 284 (2018)
Hayoung Eom, Heeyoul Choi
Alpha-Pooling for Convolutional Neural Networks. CoRR (2018)
Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio
Fine-Grained Attention Mechanism for Neural Machine Translation. CoRR (2018)
Heeyoul Choi
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory. CoRR (2018)
Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio
Context-dependent word representation for neural machine translation. Comput. Speech Lang. 45 (2017)
Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio
Context-Dependent Word Representation for Neural Machine Translation. CoRR (2016)
Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, Yoshua Bengio
A Neural Knowledge Language Model. CoRR (2016)
Taesup Moon, Heeyoul Choi, Hoshik Lee, Inchul Song
RNNDROP: A novel dropout for RNNS in ASR. ASRU (2015)
Heeyoul Choi
Data visualization for asymmetric relations. Neurocomputing 124 (2014)
Heeyoul Choi
Localization and regularization of normalized transfer entropy. Neurocomputing 139 (2014)
Heeyoul Choi, Sunjae Lee, Jaemo Sung, Sangdo Park
Sound-based real-time context recognition on smartphone. ICCE (2013)
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
Parameter Learning for Alpha Integration. Neural Comput. 25 (6) (2013)
Heeyoul Choi
Dynamic learning for visual representation of asymmetric proximity. SMC (2012)
Heeyoul Choi, Chen Yu, Linda B. Smith, Olaf Sporns
From Data Streams to Information Flow: Information Exchange in Child-Parent Interaction. CogSci (2011)
Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe
Learning alpha-integration with partially-labeled data. ICASSP (2010)
Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe
Manifold Alpha-Integration. PRICAI (2010)
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe
Alpha-integration of multiple evidence. ICASSP (2010)
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe
Probabilistic Combination of Multiple Evidence. ICONIP (1) (2009)
Choonseog Park, Heeyoul Choi, Yoonsuck Choe
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties. WSOM (2009)
Donghyeop Han, Heeyoul Choi, Choonseog Park, Yoonsuck Choe
Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection. IJCNN (2009)
Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe
Kernel oriented discriminant analysis for speaker-independent phoneme spaces. ICPR (2008)
Heeyoul Choi, Brandon Paulson, Tracy Hammond
Gesture Recognition Based on Manifold Learning. SSPR/SPR (2008)
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
Manifold Integration with Markov Random Walks. AAAI (2008)
Heeyoul Choi, Tracy Hammond
Sketch Recognition Based on Manifold Learning. AAAI (2008)
Heeyoul Choi, Seungjin Choi
Robust kernel Isomap. Pattern Recognit. 40 (3) (2007)
Heeyoul Choi, Seungjin Choi
A relative trust-region algorithm for independent component analysis. Neurocomputing 70 (7-9) (2007)
Heeyoul Choi, Seungjin Choi
Relative Gradient Learning for Independent Subspace Analysis. IJCNN (2006)
Heeyoul Choi, Seungjin Choi
Relative trust region learning for ICA. ICASSP (5) (2005)