About myself

I received Master of Science from the EE Dept. at Korea Advanced Institute of Science and Technology (KAIST) under the supervision of Prof. Changho Suh and a member of Information System Laboratory. My major interest currently lay in utilizing computer simulation and deep learning to tackle real-world problems.

I received Bachelor of Science from Korea Advanced Institute of Science and Technology (KAIST) in february 2017 and double majored Computer Science and Electrical Engineering.

[Curriculum Vitae]


Publications (*=equal contribution)

International Conference & Workshop Proceedings

  1. Synthesizing Differentially Private Datasets using Random Mixing
    ISIT, Paris, France, July, 2019
    Kangwook Lee, Hoon Kim, Kyungmin Lee, Changho Suh, and Kannan Ramchandran

  2. Crash to Not Crash: Learn to Identify Dangerous Vehicles using a Simulator (Website)
    AAAI, Honolulu, Hawaii, USA, January, 2019 (acceptance rate: 16.2%, oral presentation)
    Hoon Kim*, Kangwook Lee*, Gyeongjo Hwang, and Changho Suh

  3. Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
    ICLR, BC, Canada, April, 2018
    Kangwook Lee*, Hoon Kim*, and Changho Suh

  4. SGD on Random Mixtures: Private Machine Learning under Data Breach Threats
    ICLR Workshop, BC, Canada, April, 2018
    Kangwook Lee, Kyoungmin Lee*, Hoon Kim*, Changho Suh, and Kannan Ramchandran

  5. SGD on Random Mixtures: Private Machine Learning under Data Breach Threats
    SysML, Stanford, CA, USA, February, 2018
    Kangwook Lee, Kyoungmin Lee*, Hoon Kim*, Changho Suh, and Kannan Ramchandran

  6. Crash to not crash: Playing video games to predict vehicle collisions
    ICML Workshop on Machine Learning for Autonomous Vehicles, Sydney, Australia, August, 2017
    Kangwook Lee*, Hoon Kim*, and Changho Suh


Invited Talks

  • Learning from Computer Simululations to Tackle Real World Problems
    (November 2018) Invited talk @ Naver
    (August 2018) Invited talk @ Samsung Advanced Institute of Technology (SAIT)
    (Mar 2019) Invited talk @ University of Oxford
    (Mar 2019) Invited talk @ Samsung Research AI Center - Cambridge

  • Simulated+Unsupervised Learning with Adaptive Data Generation and Birectional Mappings
    (June 2018) Invited talk @ Institute of Electronics Engineers of Korea (IEEK), Summer Conference


Educations

  • Master of Science (MS), 2017.03 - 2019.02
    Korea Advanced Institute of Science and Technology (KAIST)
    Major : Electrical Engineering

  • Bachelor of Science (BS), 2012.03 - 2017.02
    Korea Advanced Institute of Science and Technology (KAIST)
    Major : Electrical Engineering, Computer Science (Double Major)

  • Sangsan Highschool, 2009.03 - 2012.02


Work Experience

  • Research Scientist: Lunit, 2019.03 - Present
      Deep Learning Research (Alternative Military Service)

  • Software Engineer Intern: Naver D2 Startup Factory, 2015.07 - 2015.08
      Embedded System Development

  • Software Engineer Intern: Smilegate, 2015.07
    Server Development


Awards

  • 2nd place, KAIST E5 Start-up Challenge ($10,000), 2015
    Skatey, the Most Skateboard-like Electric Skateboard (Video)