(most papers are available at arXiv. )
Journal (our lab members at the time are in bold)
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)
International Conference (peer reviewed)
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.
Book Chapter, Magazine
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 :)