| 2025 | IJCNN | Shared Latent Space by Both Languages for Non-Autoregressive Neural Machine Translation. | DongNyeong Heo, Heeyoul Choi |
| 2025 | ICST | Pre-trained Models for Bytecode Instructions. | Donggyu Kim, Taemin Kim, Jiho Shin, Song Wang, Heeyoul Choi, Jaechang Nam |
| 2025 | MICCAI | Harnessing EHRs for Diffusion-Based Anomaly Detection on Chest X-Rays. | Harim Kim, Yuhan Wang, Minkyu Ahn, Heeyoul Choi, Yuyin Zhou, Charmgil Hong |
| 2025 | PACLIC | Diverse Target Representations for Language Models with Word Difference Representations. | DongNyeong Heo, Daniela Noemi Rim, Heeyoul Choi |
| 2024 | ICANN | End-To-End Training of Back-Translation Framework with Categorical Reparameterization Trick. | DongNyeong Heo, Heeyoul Choi |
| 2024 | Interspeech | Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation. | Tsun-An Hsieh, Heeyoul Choi, Minje Kim |
| 2022 | APNOMS | Reinforcement Learning of Graph Neural Networks for Service Function Chaining in Computer Network Management. | DongNyeong Heo, Doyoung Lee, Heegon Kim, Suhyun Park, Heeyoul Choi |
| 2022 | APNOMS | 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 |
| 2022 | ICPR | Partitioning Image Representation in Contrastive Learning. | Hyunsub Lee, Heeyoul Choi |
| 2020 | APNOMS | Graph Neural Network based Service Function Chaining for Automatic Network Control. | DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi |
| 2020 | APNOMS | 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 |
| 2020 | CNSM | 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 |
| 2019 | APNOMS | Machine Learning-based Prediction of VNF Deployment Decisions in Dynamic Networks. | Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | CNSM | Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions. | Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | ICANN | Disentangling Latent Factors of Variational Auto-encoder with Whitening. | Sangchul Hahn, Heeyoul Choi |
| 2019 | NetSoft | A Deep Learning Approach to VNF Resource Prediction using Correlation between VNFs. | Heegon Kim, Seyeon Jeong, Doyoung Lee, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | NetSoft | Machine Learning-Based Method for Prediction of Virtual Network Function Resource Demands. | Heegon Kim, Doyoung Lee, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong |
| 2019 | RANLP | Self-Knowledge Distillation in Natural Language Processing. | Sangchul Hahn, Heeyoul Choi |
| 2018 | ICONIP | Fast Depthwise Separable Convolution for Embedded Systems. | Byeongheon Yoo, Yongjun Choi, Heeyoul Choi |
| 2015 | ASRU | RNNDROP: A novel dropout for RNNS in ASR. | Taesup Moon, Heeyoul Choi, Hoshik Lee, Inchul Song |
| 2012 | SMC | Dynamic learning for visual representation of asymmetric proximity. | Heeyoul Choi |
| 2011 | CogSci | From Data Streams to Information Flow: Information Exchange in Child-Parent Interaction. | Heeyoul Choi, Chen Yu, Linda B. Smith, Olaf Sporns |
| 2010 | ICASSP | Learning alpha-integration with partially-labeled data. | Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe |
| 2010 | ICASSP | Alpha-integration of multiple evidence. | Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe |
| 2010 | PRICAI | Manifold Alpha-Integration. | Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe |
| 2009 | ICONIP | Probabilistic Combination of Multiple Evidence. | Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe |
| 2009 | IJCNN | Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection. | Donghyeop Han, Heeyoul Choi, Choonseog Park, Yoonsuck Choe |
| 2008 | AAAI | Manifold Integration with Markov Random Walks. | Heeyoul Choi, Seungjin Choi, Yoonsuck Choe |
| 2008 | AAAI | Sketch Recognition Based on Manifold Learning. | Heeyoul Choi, Tracy Hammond |
| 2008 | ICPR | Kernel oriented discriminant analysis for speaker-independent phoneme spaces. | Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe |
| 2008 | SSPR | Gesture Recognition Based on Manifold Learning. | Heeyoul Choi, Brandon Paulson, Tracy Hammond |
| 2006 | IJCNN | Relative Gradient Learning for Independent Subspace Analysis. | Heeyoul Choi, Seungjin Choi |
| 2005 | ICASSP | Relative trust region learning for ICA. | Heeyoul Choi, Seungjin Choi |
| 2004 | IJCNN | Trust-region learning for ICA. | Heeyoul Choi, Sookjeong Kim, Seungjin Choi |