Publication

Journal (our lab members at the time are in bold)

    • Sangchul 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, "신경망 기반 기계번역 모델의 이해", 정보과학회지 vol.37, no. 2, pp.16-24, Feb. 2019 (in Korean)
    • Cheongwoong Kang, Youngheon Ro, Jisu Kim, and Heeyoul Choi, " 숫자 기호화를 통한 신경기계번역 성능 향상", 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, 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)

    • Stanislav Lange, Heegon Kim, Seyeon Jeong, Heeyoul Choi, Jae-Hyoung Yoo, 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, 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, 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, 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, Heeyoul Choi, Jae-Hyoung Yoo, 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, Heeyoul Choi, Jae-Hyoung Yoo, 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 or Magazine

    • 최희열, "인공지능이 마음을 가질까?" 칼럼 in "계간 철학과 현실", 철학문화연구소, 제124호, 봄 2020.
    • 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)