CV (test1)


Education

Aug 2018 - Current

  • Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
  • M.S. student in Graduate School of Culture Technology

Mar 2014 - Aug 2018

  • Yonsei University, Seoul, South Korea
  • B.S. in Computer Science

Publications

Conference Proceedings

  • VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance
    • Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee and Juhan Nam
    • Proceedings of International Society of Music Information Retrieval Conference (ISMIR) 2019, [pdf]
  • Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
    • Dasaem Jeong, Taegyun Kwon, Yoojin Kim, and Juhan Nam
    • Proceedings of the 36th International Conference on Machine Learning (ICML), 2019 [pdf]
  • Score and Performance Features for Rendering Expressive Music Performances
    • Dasaem Jeong, Taegyun Kwon, Yoojin Kim, and Juhan Nam
    • Proceedings of the Music Encoding Conference, 2019[pdf]

Patent (in Korea)

  • 주어진 악보에 대하여 다양한 스타일의 표현력 있는 피아노 연주를 생성하는 방법 및 장치 (출원)
    • 남주한, 정다샘, 권태균, 김유진
    • 출원번호 10-2020-0070101, 2020

Projects

  • Emotional Symbolic Music Data Analysis
    • Samsung Research Funding Center, 2019 - Current

Research Interest

Data Analytics, Modeling, Statistics, Machine Learning, Deep Learning