Publication

Yu-Bin Hong, Kyungjun Lee, DongNyeong Heo, H. Choi, "New Transformer Model to Generate Molecules for Drug Discovery" Journal of KIISE, KCI, (in press)

Daniela N. Rim, Richard Kimera, H. Choi, "Mini-Batching with Similar-Length Sentences to Quickly Train NMT Models" Journal of KIISE, Vol. 50, No. 7, pp.614-620, Jul. 2023. (KCI)

J.S. Yoo, Y. S. Cho, C.-J. Kim, H. Choi, Y.S. Kim, "Time and Accuracy Trade-Off of LPI Radar Classification Technology Based on Time-Frequency Analysis and Deep Learning," The Journal of Korean Institute of Electromagnetic Engineering and Science, Vol. 34, No. 1, pp. 25-32, Jan. 2023. http://dx.doi.org/10.5515/KJKIEES.2022.34.1.25 (KCI, in Korean)

J.H. Kim, J.M. Heo, J.W. Kim, and H. Choi, "Korean-English Neural Machine Translation Using Korean Alphabet Characteristics and Honorific Expressions", Journal of KIISE, Vol. 49, No. 11, pp. 1017-1025, Nov. 2022. https://doi.org/10.5626/JOK.2022.49.11.1017 (KCI, in Korean)

R. Kimera, D. N. Rim and H. Choi, "Building a Parallel Corpus and Training Translation Models Between Luganda and English", Journal of KIISE, Vol. 49, No. 11, pp. 1009-1016, Nov. 2022. https://doi.org/10.5626/JOK.2022.49.11.1009 (KCI). Available at https://arxiv.org/abs/2301.02773 

S.G. Choi, Y.P. Kim, S.J. Hwang, and H. Choi, "Improvement of Deep Learning Models to Predict the Knowledge Level of Learners based on the EdNet Data," Journal of KIISE, Vol. 48, No. 12, pp. 1335-1342, 2021. https://doi.org/10.5626/JOK.2021.48.12.1335 (KCI, in Korean)

J. H. Woo and H. Choi, "Systematic Review for AI-based Language Learning Tools," Journal of Digital Contents Society, Vol. 22, No. 11, pp. 1783-1792, Nov. 2021. (KCI). Available at https://arxiv.org/abs/2111.04455 

M.J. Kim, J.Y. Nam, H.S. Jung, and H. Choi, "Kor-Eng NMT using Symbolization of Proper Nouns", Journal of KIISE, Vol. 48, No. 10, pp. 1084-1089, 2021. (KCI, in Korean)

D. N. Rim, I. Jang and H. Choi, "Deep Neural Networks and End-to-End Learning for Audio Compression",  Journal of KIISE, Vol. 48, No. 8, pp. 940-946, 2021. (KCI). Available at https://arxiv.org/abs/2105.11681 

H.-G. Kim, S. Park, S. Lange, D. Lee, D. Heo, H. Choi, J.-H. Yoo, J. W.-K. Hong, "Graph neural network-based virtual network function deployment optimization" International Journal of Network Management, Vol. 31, No. 6, pp. e2164, May 2021. https://doi.org/10.1002/nem.2164 (SCIE) (Top Cited Article 2021-2022)

J. Joo, and H. Choi, "Improving Parallelism for Video Action Recognition Model Using One-dimensional Convolutional Neural Network", KIISE Transactions on Computing Practices, Vol. 27, No. 4, pp. 216-220, 2021. (KCI)

H. Gwon, C. Lee, R. Keum, and H. Choi, "Improvement in Network Intrusion Detection based on LSTM and Feature Embedding,"  Journal of KIISE, Vol. 48, No. 4, pp. 418-424, 2021. (KCI)

S. H. Park, E. H. Lee, H. Choi, and J. Y. Lee, "A Thermal–Elastic–Plastic Constitutive Model using the Radial Basis Function Neural Network and Application for an Energy Efficient Warm Forming Process," International Journal of Precision Engineering and Manufacturing, 1-15, Jan. 2021. (SCIE)

J. H. Woo and H. Choi, "Utilizing Machine Translation Systems to Generate Word Lists for Learning Vocabulary in English," Journal of Digital Contents Society, Vol. 22, No. 1, pp. 71-75, Jan. 2021. (KCI)

Sangchul Hahn, and Heeyoul Choi, "Understanding Dropout as an Optimization Trick", Neurocomputing, Vol. 398, pp. 64-70, Jul. 2020. (SCIE)

Hayoung Eom, Jeonghwan Kim, Seungyun Ji, and  Heeyoul Choi, "Autonomous Parking Simulator for Reinforcement Learning", Journal of Digital Contents Society, Vol. 21, No. 2, pp. 381-386, Feb. 2020. (KCI)

Jengei Hong, Heeyoul Choi, and Woo-sung Kim, "A House Price Valuation Based On The Random Forest Approach: The Mass Appraisal Of Residential Property In South Korea" International Journal of Strategic Property Management, Vol. 24, No. 3, pp. 140-152, Feb. 2020. https://doi.org/10.3846/ijspm.2020.11544 (SSCI)

Sang Jun Lee, Heeyoul Choi, and Sung Soo Hwang, "Real-time Depth Estimation Using Recurrent CNN with Sparse Depth Cues for SLAM System", International Journal of Control, Automation and Systems, Vol. 18, No. 1, pp.206--216, Jan. 2020. (SCIE)

Chanung Jeong, and Heeyoul Choi, "Neural Machine Translation with Word Embedding Transferred from Language Model", Journal of Digital Contents Society, Vol. 20, No. 11, pp. 2211-2216, Dec. 2019 (KCI)

Heeyoul Choi, "Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory", Neurocomputing, Vol. 331, pp. 458-464, Feb. 2019. (SCIE)

Heeyoul Choi, "Understanding Neural Machine Translation", Communications of the Korean Institute of Information Scientists and Engineers, Vol.37, No. 2, pp.16-24, Feb. 2019 (in Korean)

Cheongwoong Kang, Youngheon Ro, Jisu Kim, and Heeyoul Choi, "Symbolizing Numbers to Improve Neural Machine Translation", Journal of Digital Contents Society, Vol. 19, No. 6, pp. 1161-1167, Jun. 2018 (KCI, in Korean)

Heeyoul Choi, Kyunghyun Cho, and Yoshua Bengio, "Fine-Grained Attention Mechanism for Neural Machine Translation", Neurocomputing, Vol. 284, pp. 171-176, Apr. 2018. (SCIE)

Sangchul Hahn, Seokjin Hong, and Heeyoul Choi, "Application of Improved Variational Recurrent Auto-Encoder for Korean Sentence Generation", Journal of KIISE, Vol. 45, No. 2, pp. 157-164, Feb. 2018. (KCI)

Heeyoul Choi, Yunhee Kang, and Myungju Kang, "Pet Shop Recommendation System based on Implicit Feedback", Journal of Digital Contents Society, Vol. 18, No. 8, pp. 1561-1566, Dec. 2017. (KCI) 

Heeyoul Choi, Kyunghyun Cho, and Yoshua Bengio, "Context-Dependent Word Representation for Neural Machine Translation", Computer Speech and Language, Vol. 45, pp. 149-160, Sep. 2017. (SCIE)

Richard Kimera, Daniela N. Rim, H. Choi, "Fine-Tuning BERT on Twitter and Reddit Data in Luganda and English", International Conference onNatural Language Processing and Information Retrieval, Seoul, Korea, Dec. 15-17, 2023. 

Richard Kimera, Daniela N. Rim, Joseph Kirabira, Ubong Godwin Udomah, H. Choi, "Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda", International Conference on ICT Convergence, Jeju, Korea, Oct. 11-13, 2023.

M. Fernando, R. Senanayake, H. Choi, and M. Swany, “Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility”, Robotics: Science and Systems (RSS), Daegu, Republic of Korea, Jul. 10-14, 2023.

D. Heo, D. Lee, H. Kim, S. Park, and H. Choi, "Reinforcement Learning of Graph Neural Networks for Service Function Chaining in Computer Network Management", APNOMS, Takamatsu, Japan, Sep. 28-30, 2022.

N. Seo, D. Heo, J. Hong, H. Kim, J. Yoo, J. W. Hong, and H. Choi, "Updating VNF Deployment with Scaling Actions Using Reinforcement Algorithms", APNOMS, Takamatsu, Japan, Sep. 28-30, 2022.

H. Lee, and H. Choi, "Partitioning Image Representation in Contrastive Learning", ICPR, Aug 21-25 ,2022.

C. Lee, J. Hong, D. Heo, and H. Choi, "Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains", ICTC, Oct. 20-22, 2021. (Excellent Paper Award)

H. Kim, S. Park, D. Heo, S. Lange, H.  Choi, J. Yoo, and J. W. Hong, "Graph Neural Network-based Virtual Network Function Deployment Prediction", CNSM, Nov. 2-6, 2020. 

D. Heo, H. Kim, S. Lange, and H.  Choi, "Graph Neural Network Based Service Function Chaining for Automatic Network Control", APNOMS, Sep. 22-25, 2020. 

H. Kim, S. Park, S. Lange, D. Lee, D. Heo, H.  Choi, J. Yoo, and J. W. Hong, "Graph Neural Network-based Virtual Network Function Management", APNOMS, Sep. 22-25, 2020. (Student Paper Award)

Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, and James W. Hong, "Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions", 15th International Conference on Network and Service Management (CNSM 2019), Halifax, Canada, Oct. 21-25, 2019.

Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, and James W. Hong, “Machine Learning-based Prediction of VNF Deployment Decisions in Dynamic Networks”, The 20th Asia-Pacific Network Operations and Management Symposium (APNOMS), Matsue, Japan, September 18-20, 2019. (Best Paper Award)

Sangchul Hahn, and Heeyoul Choi, “Disentangling Latent Factors of Variational Auto-Encoder with Whitening”, Intl Conf. on Artificial Neural Networks (ICANN), Munich, Germany, September 17-19, 2019.

Sangchul Hahn, and Heeyoul Choi, “Self-Knowledge Distillation in Natural Language Processing”, Recent Advances in Natural Language Processing (RANLP), Varna, Bulgaria, September 2-4, 2019. 

Heegon Kim, Seyeon Jeong, Doyoung Lee, and Heeyoul Choi, Jae-Hyoung Yoo, and James W. Hong, "A Deep Learning Approach to VNF Resource Prediction using Correlation between VNFs", IEEE Conf. on Network Softwarization (NetSoft), Paris, France, June 24-28, 2019 

Heegon Kim, Doyoung Lee, Seyeon Jeong, and Heeyoul Choi, Jae-Hyoung Yoo, and James W. Hong, "Machine Learning-Based Method for Prediction of Virtual Network Function Resource Demands", IEEE Conf. on Network Softwarization (Netsoft 2019), Paris, France, June 24-28, 2019

Byeongheon Yoo, Yongjun Choi, and Heeyoul Choi, “Fast Depthwise Separable Convolution for Embedded Systems,” in Proc. Int’l Conf. On Neural Information Processing (ICONIP), Cambodia, December 13-16, 2018.

최희열, "인공지능이 마음을 가질까?" 칼럼 in "계간 철학과 현실", 철학문화연구소, 제124호, 봄 2020. (ISSN 1976-1376) [글보기]

최희열, “딥러닝이란 무엇인가,” Chap. 2 in “포스트휴먼사이언스06: 인공지능의 이론과 실제,” 아카넷, 2019. (ISBN 978-89-5733-524-6)

최희열, “인공지능기반 학술정보서비스,” Chap. 6, in “지능정보시대 학술정보서비스(RISS) 발전 방안 수립 이슈리포트,” 한국교육학술정보원, 2018.  (ISBN 978-89-5984-867-6)

I will post them here. later :) 

see https://scholar.google.com/citations?user=j3ck5XUAAAAJ&hl=en