Heeyoul Choi - RankMe

88 papers A* 2A 2B 13C 7Misc 3Journal 47Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized Probabilistic Attention Mechanism in Transformers. Mach. Learn. DongNyeong Heo, Heeyoul Choi
2026	J	`jnl`	Joint Models for Sentence Segmentation and Named Entity Recognition in Literary Sinitic Text. J. Web Eng. DongNyeong Heo, Yunhee Kang, Chul Heo, Heeyoul Choi, Kyounghun Jung
2026	J	`jnl`	Sentence Curve Language Models. CoRR DongNyeong Heo, Heeyoul Choi
2025	J	`jnl`	Convolutional Lie Operator for Sentence Classification. CoRR Daniela N. Rim, Heeyoul Choi
2025	J	`jnl`	Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda. CoRR Richard Kimera, DongNyeong Heo, Daniela N. Rim, Heeyoul Choi
2025	J	`jnl`	Dynamic Preference Multi-Objective Reinforcement Learning for Internet Network Management. CoRR DongNyeong Heo, Daniela Noemi Rim, Heeyoul Choi
2025	—	`conf`	Harnessing EHRs for Diffusion-Based Anomaly Detection on Chest X-Rays. MICCAI (3) Harim Kim, Yuhan Wang, Minkyu Ahn, Heeyoul Choi, Yuyin Zhou, Charmgil Hong
2025	J	`jnl`	Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays. CoRR Harim Kim, Yuhan Wang, Minkyu Ahn, Heeyoul Choi, Yuyin Zhou, Charmgil Hong
2025	A	`conf`	Pre-trained Models for Bytecode Instructions. ICST Donggyu Kim, TaeMin Kim, Jiho Shin, Song Wang, Heeyoul Choi, Jaechang Nam
2025	B	`conf`	Shared Latent Space by Both Languages for Non-Autoregressive Neural Machine Translation. IJCNN DongNyeong Heo, Heeyoul Choi
2024	J	`jnl`	Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation. CoRR Richard Kimera, Yun-Seon Kim, Heeyoul Choi
2024	J	`jnl`	Anomaly detection based on system text logs of virtual network functions. Big Data Res. Daniela N. Rim, DongNyeong Heo, Chungjun Lee, Sukhyun Nam, Jae-Hyoung Yoo, James Won-Ki Hong, Heeyoul Choi
2024	—	`conf`	Convolutional Lie Operator for Sentence Classification. NLPIR Daniela Noemi Rim, Heeyoul Choi
2024	—	`conf`	Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda. NLPIR Richard Kimera, DongNyeong Heo, Daniela N. Rim, Heeyoul Choi
2024	J	`jnl`	Empirical Study of Symmetrical Reasoning in Conversational Chatbots. CoRR Daniela N. Rim, Heeyoul Choi
2024	—	`conf`	End-To-End Training of Back-Translation Framework with Categorical Reparameterization Trick. ICANN (7) DongNyeong Heo, Heeyoul Choi
2024	J	`jnl`	Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda. CoRR Richard Kimera, Daniela N. Rim, Joseph Kirabira, Ubong Godwin Udomah, Heeyoul Choi
2024	J	`jnl`	Generalized Probabilistic Attention Mechanism in Transformers. CoRR DongNyeong Heo, Heeyoul Choi
2024	A	`conf`	Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation. INTERSPEECH Tsun-An Hsieh, Heeyoul Choi, Minje Kim
2024	J	`jnl`	N-gram Prediction and Word Difference Representations for Language Modeling. CoRR DongNyeong Heo, Daniela Noemi Rim, Heeyoul Choi
2023	J	`jnl`	Advanced Scaling Methods for VNF deployment with Reinforcement Learning. CoRR Namjin Seo, DongNyeong Heo, Heeyoul Choi
2023	J	`jnl`	Building a Parallel Corpus and Training Translation Models Between Luganda and English. CoRR Richard Kimera, Daniela N. Rim, Heeyoul Choi
2023	—	`conf`	Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda. ICTC Richard Kimera, Daniela N. Rim, Joseph Kirabira, Ubong Godwin Udomah, Heeyoul Choi
2023	J	`jnl`	Fast Training of NMT Model with Data Sorting. CoRR Daniela N. Rim, Richard Kimera, Heeyoul Choi
2023	—	`conf`	Fine-Tuning BERT on Twitter and Reddit Data in Luganda and English. NLPIR Richard Kimera, Daniela N. Rim, Heeyoul Choi
2023	—	`conf`	Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. Robotics: Science and Systems Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany
2023	J	`jnl`	Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. CoRR Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany
2023	J	`jnl`	Graph neural network-based virtual network function deployment optimization. Int. J. Netw. Manag. Heegon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, DongNyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong
2023	J	`jnl`	Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation. CoRR DongNyeong Heo, Heeyoul Choi
2022	J	`jnl`	End-to-End Training of Both Translation Models in the Back-Translation Framework. CoRR DongNyeong Heo, Heeyoul Choi
2022	B	`conf`	Partitioning Image Representation in Contrastive Learning. ICPR Hyunsub Lee, Heeyoul Choi
2022	J	`jnl`	Partitioning Image Representation in Contrastive Learning. CoRR Hyunsub Lee, Heeyoul Choi
2022	C	`conf`	Reinforcement Learning of Graph Neural Networks for Service Function Chaining in Computer Network Management. APNOMS DongNyeong Heo, Doyoung Lee, Heegon Kim, Suhyun Park, Heeyoul Choi
2022	C	`conf`	Updating VNF deployment with Scaling Actions using Reinforcement Algorithms. APNOMS Namjin Seo, DongNyeong Heo, Jibum Hong, Heegon Kim, Jae-Hyoung Yoo, James Won-Ki Hong, Heeyoul Choi
2021	J	`jnl`	Adversarial Training with Contrastive Learning in NLP. CoRR Daniela N. Rim, DongNyeong Heo, Heeyoul Choi
2021	J	`jnl`	Deep Neural Networks and End-to-End Learning for Audio Compression. CoRR Daniela N. Rim, Inseon Jang, Heeyoul Choi
2021	J	`jnl`	Graph neural network-based virtual network function deployment optimization. Int. J. Netw. Manag. Heegon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, DongNyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong
2021	—	`conf`	Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains. ICTC Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi
2021	J	`jnl`	Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains. CoRR Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi
2021	J	`jnl`	Systematic Review for AI-based Language Learning Tools. CoRR Jin Ha Woo, Heeyoul Choi
2020	C	`conf`	Graph Neural Network based Service Function Chaining for Automatic Network Control. APNOMS DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi
2020	J	`jnl`	Graph Neural Network based Service Function Chaining for Automatic Network Control. CoRR DongNyeong Heo, Stanislav Lange, Heegon Kim, Heeyoul Choi
2020	B	`conf`	Graph Neural Network-based Virtual Network Function Deployment Prediction. CNSM Heegon Kim, Suhyun Park, DongNyeong Heo, Stanislav Lange, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong
2020	C	`conf`	Graph Neural Network-based Virtual Network Function Management. APNOMS Heegon Kim, Suhyun Park, Stanislav Lange, Doyoung Lee, DongNyeong Heo, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong
2020	J	`jnl`	Reinforcement Learning of Graph Neural Networks for Service Function Chaining. CoRR DongNyeong Heo, Doyoung Lee, Heegon Kim, Suhyun Park, Heeyoul Choi
2020	J	`jnl`	Understanding dropout as an optimization trick. Neurocomputing Sangchul Hahn, Heeyoul Choi
2019	B	`conf`	A Deep Learning Approach to VNF Resource Prediction using Correlation between VNFs. NetSoft Heegon Kim, Seyeon Jeong, Doyoung Lee, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong
2019	J	`jnl`	Active Search for Nearest Neighbors. CoRR Hayoung Um, Heeyoul Choi
2019	—	`conf`	Disentangling Latent Factors of Variational Auto-encoder with Whitening. ICANN (3) Sangchul Hahn, Heeyoul Choi
2019	B	`conf`	Machine Learning-Based Method for Prediction of Virtual Network Function Resource Demands. NetSoft Heegon Kim, Doyoung Lee, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong
2019	C	`conf`	Machine Learning-based Prediction of VNF Deployment Decisions in Dynamic Networks. APNOMS Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong
2019	J	`jnl`	Network Intrusion Detection based on LSTM and Feature Embedding. CoRR Hyeokmin Gwon, Chungjun Lee, Rakun Keum, Heeyoul Choi
2019	J	`jnl`	Persistent hidden states and nonlinear transformation for long short-term memory. Neurocomputing Heeyoul Choi
2019	B	`conf`	Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions. CNSM Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, James Won-Ki Hong
2019	Misc	`conf`	Self-Knowledge Distillation in Natural Language Processing. RANLP Sangchul Hahn, Heeyoul Choi
2019	J	`jnl`	Self-Knowledge Distillation in Natural Language Processing. CoRR Sangchul Hahn, Heeyoul Choi
2018	J	`jnl`	Alpha-Pooling for Convolutional Neural Networks. CoRR Hayoung Eom, Heeyoul Choi
2018	J	`jnl`	Disentangling Latent Factors with Whitening. CoRR Sangchul Hahn, Heeyoul Choi
2018	—	`conf`	Fast Depthwise Separable Convolution for Embedded Systems. ICONIP (7) Byeongheon Yoo, YongJun Choi, Heeyoul Choi
2018	J	`jnl`	Fine-Grained Attention Mechanism for Neural Machine Translation. CoRR Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio
2018	J	`jnl`	Fine-grained attention mechanism for neural machine translation. Neurocomputing Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio
2018	J	`jnl`	Gradient Acceleration in Activation Functions. CoRR Sangchul Hahn, Heeyoul Choi
2018	J	`jnl`	Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory. CoRR Heeyoul Choi
2017	J	`jnl`	Context-dependent word representation for neural machine translation. Comput. Speech Lang. Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio
2016	J	`jnl`	A Neural Knowledge Language Model. CoRR Sungjin Ahn, Heeyoul Choi, Tanel Pärnamaa, Yoshua Bengio
2016	J	`jnl`	Context-Dependent Word Representation for Neural Machine Translation. CoRR Heeyoul Choi, Kyunghyun Cho, Yoshua Bengio
2015	C	`conf`	RNNDROP: A novel dropout for RNNS in ASR. ASRU Taesup Moon, Heeyoul Choi, Hoshik Lee, Inchul Song
2014	J	`jnl`	Data visualization for asymmetric relations. Neurocomputing Heeyoul Choi
2014	J	`jnl`	Localization and regularization of normalized transfer entropy. Neurocomputing Heeyoul Choi
2013	J	`jnl`	Parameter Learning for Alpha Integration. Neural Comput. Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
2013	C	`conf`	Sound-based real-time context recognition on smartphone. ICCE Heeyoul Choi, Sunjae Lee, Jaemo Sung, Sangdo Park
2012	B	`conf`	Dynamic learning for visual representation of asymmetric proximity. SMC Heeyoul Choi
2011	B	`conf`	From Data Streams to Information Flow: Information Exchange in Child-Parent Interaction. CogSci Heeyoul Choi, Chen Yu, Linda B. Smith, Olaf Sporns
2010	Misc	`conf`	Alpha-integration of multiple evidence. ICASSP Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe
2010	Misc	`conf`	Learning alpha-integration with partially-labeled data. ICASSP Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe
2010	B	`conf`	Manifold Alpha-Integration. PRICAI Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe
2009	B	`conf`	Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection. IJCNN Donghyeop Han, Heeyoul Choi, Choonseog Park, Yoonsuck Choe
2009	—	`conf`	Probabilistic Combination of Multiple Evidence. ICONIP (1) Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe
2009	—	`conf`	Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties. WSOM Choonseog Park, Heeyoul Choi, Yoonsuck Choe
2008	—	`conf`	Gesture Recognition Based on Manifold Learning. SSPR/SPR Heeyoul Choi, Brandon Paulson, Tracy Hammond
2008	B	`conf`	Kernel oriented discriminant analysis for speaker-independent phoneme spaces. ICPR Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe
2008	A*	`conf`	Manifold Integration with Markov Random Walks. AAAI Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
2008	A*	`conf`	Sketch Recognition Based on Manifold Learning. AAAI Heeyoul Choi, Tracy Hammond
2007	J	`jnl`	A relative trust-region algorithm for independent component analysis. Neurocomputing Heeyoul Choi, Seungjin Choi
2007	J	`jnl`	Robust kernel Isomap. Pattern Recognit. Heeyoul Choi, Seungjin Choi
2006	B	`conf`	Relative Gradient Learning for Independent Subspace Analysis. IJCNN Heeyoul Choi, Seungjin Choi
2005	—	`conf`	Relative trust region learning for ICA. ICASSP (5) Heeyoul Choi, Seungjin Choi
2004	B	`conf`	Trust-region learning for ICA. IJCNN Heeyoul Choi, Sookjeong Kim, Seungjin Choi