Members

Alumni

Wonsung LEE

PhD Alumni

SKT AI, Lab Tenure:2012-2018, Integrated MS-PhD

wonsung.lee@sk.com

Research Interest

  • Collaborative Filtering
  • Ad Tech
  • Deep Generative Models
  • Medical Informatics
  • Bayesian Nonparametrics

Education

    Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea (Mar. 2012 - Aug. 2018)

  • Integrated Master's and Doctoral Degree Program in Industrial and Systems Engineering(GPA: 3.88/4.3), AAILab
  • Academic Advisor: Professor Il-Chul Moon

    Yonsei University, Seoul, Republic of Korea (Mar. 2007 - Feb. 2012)

  • Bachelor of Science in Information & Industrial Engineering (GPA: 4.14/4.3 ,Rank: 1/38

    Daejeon Science High School, Daejeon, Republic of Korea (Mar. 2005 - Feb. 2007)

  • Early Graduation of Excellence

Publication

    International Journal

  • Park, S., Lee, W., & Moon, I. C. (2015). Associative topic models with numerical time series. Information Processing & Management, 51(5), 737-755.
  • Park, S., Lee, W., & Moon, I. C. (2015). Efficient extraction of domain-specific sentiment lexicon with active learning. Pattern Recognition Letters, 56, 38-44.

    International Conference

  • Joo, W., Lee, W., Park, W., & Moon, I. C. (2019). Dirichlet Variational Autoencoder. Submitted.
  • Park, S., Song, K., Ji. M., Lee, W., & Moon, I. C. (2019). Adversarial Dropout for Recurrent Neural Networks. In The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) [acceptance rate: 1,150/7,095=16.2%].
  • Lee, W., Park, S., Joo, W., & Moon, I. C. (2018). Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling (short paper). In 2018 IEEE International Conference on Data Mining (ICDM) [acceptance rate: 8.86% for full papers, 11.08% for short papers].
  • Kim, Y. Y., Lee, W., & Moon, I. C. (2018). Black-Box Expectation Maximization Algorithm for Estimating Latent States of High-Speed Vehicles. In The 18th International Conference on Control, Automation and Systems (ICCAS).
  • Song, K., Lee, W., & Moon, I. C. (2018). Neural Ideal Point Estimation Network. In The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) [acceptance rate: 933/3800=24.6%].
  • Lee, W., Song, K., & Moon, I. C. (2017). Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information. In The ACM International Conference on Information and Knowledge Management (CIKM) [acceptance rate: 171/820=21%].
  • Lee, W., Lee, Y., Kim, H., & Moon, I. C. (2016). Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. In The Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI) [acceptance rate: 551/2294=24%].
  • Park, S., Lee, W., & Moon, I. C. (2015). Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series. In The Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications
  • Lee, W., Yi, G., Jung, D., Kim, M., & Moon, I. C. (2014). Network analysis approach to study hospitals' prescription patterns focused on the impact of new healthcare policy. In The IEEE International Conference on Systems, Man and Cybernetics (SMC).
  • Park, S., Choi, D., Lee, W., Jung, D., Kim, M., & Moon, I. C. (2014). Disease-medicine topic model for prescription record mining. In The IEEE International Conference on Systems, Man and Cybernetics (SMC).
  • Lee, W., Park, S., & Moon, I. C. (2014). Modeling multiple fields of collective emotions with Brownian agent-based model. In The International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) [acceptance rate: 169/709=24%].

    Domestic Journal and Conference

  • Lee, S., Lee, W., Moon, I. C., & Kwon, H. (2015). Consumers Perceptions on Sodium Saccharin in Social Media. Journal of Food Hygiene and Safety, 30(4), 329-342.
  • Lee, W. and Moon, I. C. (2015). Stochastic Variational Inference for Nonparametric Mixture of Gaussian Processes. In The Proceedings of Korean Institute of Industrial Engineers Fall Conference.

Award

  • Runner-up Prize (2nd Prize), SK Data Analytics Competition, 2019
  • CIKM Student Travel Grant, 2017d
  • IJCAI Travel Grant, 2016
  • AAMAS Student Travel Grant, 2014
  • 1st Prize (Gold) - The 10th Annual SAS Mining Championship, SAS Korea, 2012
  • Kwanjeong Korean Graduate Students Scholarship, Kwanjeong Educational Foundation, 2012 - 2013
  • Honors and Awards, Yonsei University

    Honors: 1st Semester, 2008, 2nd Semester, 2008, 2nd Semester, 200

    High Honors: 1st Semester, 2007, 1st Semester, 2009

    Highest Honors: 2nd Semester, 2007

  • National Science & Technology Scholarship, Korea Student Aid Foundation, 2007 - 2012