Inah Jeon
StatusM.S. Candidate (Advisor: U Kang)
OfficeData Mining Laboratory
Department of Computer Science, KAIST
LocationRoom 624, N1 building, KAIST
E-mailinahjeon at kaist.ac.kr
Tel+82-42-350-7865

  1. I. WHAT'S NEW
  2. - A paper on scaling up two important tensor decomposition methods is accepted to 31st IEEE International Conference on Data Engineering (ICDE).

    - Inah Jeon won the 2013 Qualcomm Innovation Award. (Sep 2013)
  3. II. RESEARCH INTERESTS
  4. Tensor Analysis
    Graph Generator
  5. III. ONGOING WORKS
  6. Scalable Tensor Decomposition
  7. IV. ACADEMIC BACKGROUNDS
  8. DegreeIntuitionYear
    M.Sc.Computer Science, KAIST2013 ~ Now
    B.Sc.Computer Science and Engineering, SungKyunKwan University2009 ~ 2013
  9. V. Publications
  10. HaTen2: Billion-scale Tensor Decompositions
    Inah Jeon, Evangelos E. Papalexakis, U Kang, and Christos Faloutsos
    31st IEEE International Conference on Data Engineering (ICDE) 2015, Seoul, Korea.
    [PDF] [Supplementary Document] [BIBTEX]

    대용량 텐서 마이닝: 알고리즘과 응용
    전인아, 강유
    정보과학회지, 2014
  11. VI. HONORS AND AWARDS
  12. 2013 Qualcomm Innovation Award : 2013
    Test Of Practical Competency in IT, Head of KPC Prize (2nd Place) : 2012
  13. VII. EXTRA ACTIVITIES
  14. Homepage administrator of Data Mining Lab.
    System Consultant Group (SKKU): 2009-2013
    2012 TV Application Contest (KCA) - SensiTV (Uploaded on Samsung smart TV): 2012
  15. VIII. ACADEMIC ACTIVITIES
  16. Attendence to 2013 KDD Conference held in Chicago. (Aug.11 ~ Aug.14, 2013)
    Attendence to 2013 KCC Conference held in Yeosu. (Jun.26 ~ Jun.28, 2013)
  17. IX. TEACHING EXPERIENCE
  18. Artificial Intelligence and Machine Learning, Teaching Assistant, KAIST (Spring 2014)
    Data Mining, Teaching Assistant, KAIST (Fall 2013, CS492)
Last Update: Jan 19, 2015