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2020 – today
- 2024
[j12]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)- [c34]DongNyeong Heo, Heeyoul Choi:
End-To-End Training of Back-Translation Framework with Categorical Reparameterization Trick. ICANN (7) 2024: 177-193 - [i27]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 abs/2401.14240 (2024) - [i26]Richard Kimera, Yun-Seon Kim, Heeyoul Choi:
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation. CoRR abs/2404.01070 (2024) - [i25]Daniela N. Rim, Heeyoul Choi:
Empirical Study of Symmetrical Reasoning in Conversational Chatbots. CoRR abs/2407.05734 (2024) - [i24]DongNyeong Heo, Daniela Noemi Rim, Heeyoul Choi:
N-gram Prediction and Word Difference Representations for Language Modeling. CoRR abs/2409.03295 (2024) - 2023
- [j11]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) - [c33]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: 76-80 - [c32]Richard Kimera, Daniela N. Rim, Heeyoul Choi:
Fine-Tuning BERT on Twitter and Reddit Data in Luganda and English. NLPIR 2023: 63-70 - [c31]Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany:
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. Robotics: Science and Systems 2023 - [i23]Richard Kimera, Daniela N. Rim, Heeyoul Choi:
Building a Parallel Corpus and Training Translation Models Between Luganda and English. CoRR abs/2301.02773 (2023) - [i22]Namjin Seo, DongNyeong Heo, Heeyoul Choi:
Advanced Scaling Methods for VNF deployment with Reinforcement Learning. CoRR abs/2301.08325 (2023) - [i21]Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany:
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. CoRR abs/2302.07337 (2023) - [i20]DongNyeong Heo, Heeyoul Choi:
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation. CoRR abs/2305.03511 (2023) - [i19]Daniela N. Rim, Richard Kimera, Heeyoul Choi:
Fast Training of NMT Model with Data Sorting. CoRR abs/2308.08153 (2023) - 2022
- [c30]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 - [c29]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 - [c28]Hyunsub Lee, Heeyoul Choi:
Partitioning Image Representation in Contrastive Learning. ICPR 2022: 2864-2870 - [i18]DongNyeong Heo, Heeyoul Choi:
End-to-End Training of Both Translation Models in the Back-Translation Framework. CoRR abs/2202.08465 (2022) - [i17]Hyunsub Lee, Heeyoul Choi:
Partitioning Image Representation in Contrastive Learning. CoRR abs/2203.10454 (2022) - 2021
- [j10]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) - [c27]Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi:
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains. ICTC 2021: 1163-1168 - [i16]Daniela N. Rim, Inseon Jang, Heeyoul Choi:
Deep Neural Networks and End-to-End Learning for Audio Compression. CoRR abs/2105.11681 (2021) - [i15]Daniela N. Rim, DongNyeong Heo, Heeyoul Choi:
Adversarial Training with Contrastive Learning in NLP. CoRR abs/2109.09075 (2021) - [i14]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) - [i13]Jin Ha Woo, Heeyoul Choi:
Systematic Review for AI-based Language Learning Tools. CoRR abs/2111.04455 (2021) - 2020
- [j9]Sangchul Hahn, Heeyoul Choi:
Understanding dropout as an optimization trick. Neurocomputing 398: 64-70 (2020) - [c26]DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi:
Graph Neural Network based Service Function Chaining for Automatic Network Control. APNOMS 2020: 7-12 - [c25]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 - [c24]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 - [i12]DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi:
Graph Neural Network based Service Function Chaining for Automatic Network Control. CoRR abs/2009.05240 (2020) - [i11]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)
2010 – 2019
- 2019
- [j8]Heeyoul Choi:
Persistent hidden states and nonlinear transformation for long short-term memory. Neurocomputing 331: 458-464 (2019) - [c23]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: 1-6 - [c22]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: 1-9 - [c21]Sangchul Hahn, Heeyoul Choi:
Disentangling Latent Factors of Variational Auto-encoder with Whitening. ICANN (3) 2019: 590-603 - [c20]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: 405-413 - [c19]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: 444-449 - [c18]Sangchul Hahn, Heeyoul Choi:
Self-Knowledge Distillation in Natural Language Processing. RANLP 2019: 423-430 - [i10]Sangchul Hahn, Heeyoul Choi:
Self-Knowledge Distillation in Natural Language Processing. CoRR abs/1908.01851 (2019) - [i9]Hyeokmin Gwon, Chungjun Lee, Rakun Keum, Heeyoul Choi:
Network Intrusion Detection based on LSTM and Feature Embedding. CoRR abs/1911.11552 (2019) - [i8]Hayoung Um, Heeyoul Choi:
Active Search for Nearest Neighbors. CoRR abs/1912.00386 (2019) - 2018
- [j7]Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio:
Fine-grained attention mechanism for neural machine translation. Neurocomputing 284: 171-176 (2018) - [c17]Byeongheon Yoo, Yongjun Choi, Heeyoul Choi:
Fast Depthwise Separable Convolution for Embedded Systems. ICONIP (7) 2018: 656-665 - [i7]Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio:
Fine-Grained Attention Mechanism for Neural Machine Translation. CoRR abs/1803.11407 (2018) - [i6]Heeyoul Choi:
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory. CoRR abs/1806.08748 (2018) - [i5]Sangchul Hahn, Heeyoul Choi:
Gradient Acceleration in Activation Functions. CoRR abs/1806.09783 (2018) - [i4]Hayoung Eom, Heeyoul Choi:
Alpha-Pooling for Convolutional Neural Networks. CoRR abs/1811.03436 (2018) - [i3]Sangchul Hahn, Heeyoul Choi:
Disentangling Latent Factors with Whitening. CoRR abs/1811.03444 (2018) - 2017
- [j6]Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio:
Context-dependent word representation for neural machine translation. Comput. Speech Lang. 45: 149-160 (2017) - 2016
- [i2]Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio:
Context-Dependent Word Representation for Neural Machine Translation. CoRR abs/1607.00578 (2016) - [i1]Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, Yoshua Bengio:
A Neural Knowledge Language Model. CoRR abs/1608.00318 (2016) - 2015
- [c16]Taesup Moon, Heeyoul Choi, Hoshik Lee, Inchul Song:
RNNDROP: A novel dropout for RNNS in ASR. ASRU 2015: 65-70 - 2014
- [j5]Heeyoul Choi:
Data visualization for asymmetric relations. Neurocomputing 124: 97-104 (2014) - [j4]Heeyoul Choi:
Localization and regularization of normalized transfer entropy. Neurocomputing 139: 408-414 (2014) - 2013
- [j3]Heeyoul Choi, Seungjin Choi, Yoonsuck Choe:
Parameter Learning for Alpha Integration. Neural Comput. 25(6): 1585-1604 (2013) - [c15]Heeyoul Choi, Sunjae Lee, Jaemo Sung, Sangdo Park:
Sound-based real-time context recognition on smartphone. ICCE 2013: 669-670 - 2012
- [c14]Heeyoul Choi:
Dynamic learning for visual representation of asymmetric proximity. SMC 2012: 1972-1977 - 2011
- [c13]Heeyoul Choi, Chen Yu, Linda B. Smith, Olaf Sporns:
From Data Streams to Information Flow: Information Exchange in Child-Parent Interaction. CogSci 2011 - 2010
- [c12]Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe:
Learning alpha-integration with partially-labeled data. ICASSP 2010: 2058-2061 - [c11]Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe:
Alpha-integration of multiple evidence. ICASSP 2010: 2210-2213 - [c10]Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe:
Manifold Alpha-Integration. PRICAI 2010: 397-408
2000 – 2009
- 2009
- [c9]Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe:
Probabilistic Combination of Multiple Evidence. ICONIP (1) 2009: 302-311 - [c8]Donghyeop Han, Heeyoul Choi, Choonseog Park, Yoonsuck Choe:
Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection. IJCNN 2009: 1075-1082 - [c7]Choonseog Park, Heeyoul Choi, Yoonsuck Choe:
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties. WSOM 2009: 228-236 - 2008
- [c6]Heeyoul Choi, Seungjin Choi, Yoonsuck Choe:
Manifold Integration with Markov Random Walks. AAAI 2008: 424-429 - [c5]Heeyoul Choi, Tracy Hammond:
Sketch Recognition Based on Manifold Learning. AAAI 2008: 1786-1787 - [c4]Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe:
Kernel oriented discriminant analysis for speaker-independent phoneme spaces. ICPR 2008: 1-4 - [c3]Heeyoul Choi, Brandon Paulson, Tracy Hammond:
Gesture Recognition Based on Manifold Learning. SSPR/SPR 2008: 247-256 - 2007
- [j2]Heeyoul Choi, Seungjin Choi:
A relative trust-region algorithm for independent component analysis. Neurocomputing 70(7-9): 1502-1510 (2007) - [j1]Heeyoul Choi, Seungjin Choi:
Robust kernel Isomap. Pattern Recognit. 40(3): 853-862 (2007) - 2006
- [c2]Heeyoul Choi, Seungjin Choi:
Relative Gradient Learning for Independent Subspace Analysis. IJCNN 2006: 3919-3924 - 2005
- [c1]Heeyoul Choi, Seungjin Choi:
Relative trust region learning for ICA. ICASSP (5) 2005: 261-264
Coauthor Index
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last updated on 2024-10-10 22:13 CEST by the dblp team
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