Students

We are currently working on the following topics of machine and deep learnings.

PhD Students

  • Kimin Lee (since 2015 and BS, MS from KAIST) - Confident deep learning

  • Hyungwon Choi (since 2015 and BS, MS from KAIST) - Data compression

  • Yunhun Jang (since 2015 and BS, MS from KAIST) - Transfer learning

  • Insu Han (since 2017 and BS, MS from KAIST) - Large-scale machine learning

PhD+MS Students

  • Sejun Park (since 2014 and BS from KAIST) - Graphical models

  • Sungsoo Ahn (since 2015 and BS from KAIST) - Approximate inference, generative models

  • Junhyun Nam (since 2017 and BS from KAIST) - Interpretable machine learning

  • Sukmin Yoo (since 2018 and BS from KAIST) - Adversarial learning

MS Students

  • Hankook Lee (since 2016 and BS from KAIST) - Scalable deep learning

  • Sangwoo Mo (since 2016 and BS from POSTECH) - Transfer learning

  • Jaehyung Kim (since 2017 and BS from KAIST) - Data compression

  • Jongheon Jung (since 2017 and BS from KAIST) - Automated machine learning

  • Jongjin Park (since 2018 and BS from SNU) - Active learning