박성래.jpg

 

 

Sungrae Park

Doctor's Course Student 

Applied Artificial Intelligence Laboratory

Department of Industrial and Systems Engineering, KAIST

Google Scholar

 

Office : KAIST E2-2 No.4101

Office Hour : 17:00~18:00

E-mail : SungraePark [at] kaist.ac.kr

Tel. +82-42-350-3158

 

 

RESEARCH INTEREST

 

·  Data Analysis

·  Probabilistic Models

·  Deep Neural Network

·  Natural Language Understanding

·  Image Recognition

 

 

 

PUBLICATION

 

- International Journal

  • Su-Jin Shin, Je-Yong Oh, Park, S.R., Minki Kim, and Il-Chul Moon. 2018.  Hierarchical Prescription Pattern Analysis with Symptom Labels, Pattern Recognition Letters
  • Park, S.R., D.S. Choi, M.K. Kim, W.C. Cha, J.H. Kim, and I.-C. Moon. 2017. Identifying Prescription Patterns with Probabilistic Graphical Model on Disease and Medicine. Journal of Biomedical Informatics
  • Park, S.R., Lee, W.S. and Moon, I.-C., 2015. Associative Topic Models with Numerical Time Series. Information Processing and Management. 
  • Park, S.R., Lee, W.S. and Moon, I.-C., 2015. Efficient Extraction of Domain-Specific Sentiment Lexicon with Active Learning. Pattern Recognition Letters, 56(4), pp.38–44.

 - International Conference 

  • Park, S.R., Park, J.K., Shin S.J., I.-C. Moon. Adversarial Dropout for Supervised and Semi-Supervised Learning. AAAI Conference on Artificial Intelligence (AAAI 2018). New Orleans. Feb 2-7. [acceptance rate: about 25%]
  • Shin, S.-J., J.Y. Oh, S.R. Park, M.K. Kim, and I.-C. Moon. 2015. "Hierarchical Prescription Pattern Analysis with Symptom Labels." In Workshop on Biological Mining and Its Applications in Healthcare, International Conference on Data Mining. Atlantic City, NJ.
  • Park, S.R., Lee, W.S. and Moon, I,-C., 2015. Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series. In Workshop on Topic Models: Post-Processing and Applications, ACM Conference on Information and Knowledge Management (CIKM), Melbourne, Australia.
  • Park, S.R., Choi, D.S., Jung, D., Kim, M. and Moon, I. -C., 2014. Disease-Medicine Topic Models for Prescription Record Mining, IEEE International Conference on SMC, San Diego, USA, Oct. 5-8, 2014 
  • Lee, W.S., Park, S.R. and Moon, I.-C., 2014. Modeling Multiple Fields of Collective Emotions with Brownian Agents. In AAMAS. Paris, France. [acceptance rate: about 24%]

 

EDUCATION

 

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, the Republic of Korea (From 2014)

· Course of Doctor's Degree in SESLab, ISysE ( Academic Advisor: Professor Il-Chul Moon )

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, the Republic of Korea (2012-2014)

  · Course of Master's Degree in SESLab, ISysE ( Academic Advisor: Professor Il-Chul Moon )

Hanyang University, Seoul, Republic of Korea (2007 – 2012)

· Bachelor of Science in Industrial Engineering

 

AWARD

 

     1st Place (Gold) - The 10th Annual SAS Mining Championship, 2012, Hosted by SAS Korea

 

 

EXTERNAL PROFESSIONAL ACTIVITIES

 

    Adhoc Reviewer - IJCAI 2017

    Adhoc Reviewer - IJCAI 2015

    Adhoc Reviewer - IEEE Transactions on Automation Science and Engineering (T-ASE) 2013

    Adhoc Reviewer - IEEE Intelligence and Security Informatics (ISI) 2013