Sundong Kim (김선동, 金先东)

Research Fellow, IBS, Republic of Korea
E-mail: sundong (at) ibs.re.kr

[C.V.] [LinkedIn]

About Me

I am a research fellow in the Data Science Group at Institute for Basic Science, working with Meeyoung Cha. My research interests include predictive analytics by modeling effective features and architectures. Currently, I am working on customs fraud detection in collaboration with the World Customs Organization. I obtained my Ph.D. in Knowledge Service Engineering at Korea Advanced Institute of Science and Technology (KAIST), advised by Jae-Gil Lee. My thesis research focused on customer revisit prediction using in-store sensor data.


Selected Publications

  • Revisit Prediction by Deep Survival Analysis
    Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee
    The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2020, Singapore. (Full Paper - Acceptance Rate: 21%)
    (Invited to International Journal of Data Science and Analytics)
    [Link] [PDF]

  • Utilizing In-Store Sensors for Revisit Prediction
    Sundong Kim, Jae-Gil Lee
    The IEEE International Conference on Data Mining (ICDM) 2018, Singapore. (Full Paper - Acceptance Rate: 8.86%)
    (Selected as one of the best papers in ICDM 2018)
    [Link] [PDF] [Slides] [Poster] [Video] [Github]

  • Friend Recommendation with a Target User in Social Networking Services
    Sundong Kim
    The IEEE International Conference on Data Engineering (ICDEW) 2015, Seoul, Korea. (Ph.D. Symposium)
    [Link] [PDF] [Slides]

For the full list, please check my publication page, or check my C.V. including the list of working papers.


Recent News


Internships

If you are interested in predictive analytics projects using point-of-interest (POI) dataset, please contact me. Listed below are some projects I did with interns.

  • Hierarchical POI Embedding with Heterogeneuos Information [Slides]
  • Customer Revisit Prediction using Macroscale Mobility [PDF]

Contact Details

  • E-mail: sundong (at) ibs.re.kr
  • WWW: http://seondong.github.io
  • Office: B233 (Theory), Institute of Basic Science, 55 Expo-ro, Yuseong-gu, Daejeon, Republic of Korea