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Wonsung Lee

 

Data Biz Platform Development Team, Data Labs

ICT R&D Center, SK Telecom

 

E-mail : wonsung.lee [at] 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, Ph.D. candidate (Mar. 2012 - Aug. 2018)

Applied Artificial Intelligence Laboratory (AAILab)

Department of Industrial & Systems Engineering (ISysE)

GPA: 3.88/4.3

Course of Integrated Master/Ph.D. Program in AAILab, ISysE (from Mar. 2013)

Academic Advisor: Professor Il-Chul Moon

Yonsei University, Seoul, B.S. (Mar. 2007 - Feb. 2012)

Department of Information & Industrial Engineering
GPA: 4.14/4.3 Rank: 1/38

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

Early Graduation of Excellence

 

PUBLICATIONS

 

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. (2016). Consumers Perceptions on Monosodium L-glutamate in Social Media. Journal of Food Hygiene and Safety, 31(3), 153-166.

• 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.

 

EXTERNAL PROFESSIONAL ACTIVITIES

• Ad-hoc Reviewer for IJCAI 2017
• Ad-hoc Reviewer for IEEE Intelligence and Security Informatics (ISI) 2013
• Ad-hoc Reviewer for IEEE Transaction on Knowledge and Data Engineering
• Ad-hoc Reviewer for IJCAI 2015

 

AWARDS & SCHOLARSHIPS

• 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, 2009
  High Honors: 1st Semester, 2007, 1st Semester, 2009
  Highest Honors: 2nd Semester, 2007
• National Science & Technology Scholarship, Korea Student Aid Foundation, 2007 - 2012