Minseon Kim

I am a PhD student in Computer Science at North Carolina State University, advised by Prof. Jung-Eun Kim. My research focuses on trustworthy and efficient machine learning, encompassing areas such as safety, privacy, and fairness in artificial intelligence systems.

I received both my BSc in Industrial Engineering [Information Technology Management] and MSc in Data Science from Seoul National University of Science and Technology, advised by Prof. Hyuk-Yoon Kwon. My long-term goal is to build systems that can reliably connect humans with machine learning technologies in alignment with their intentions.

News

Aug 18, 2025	Started the PhD program in Computer Science at NC State University, awarded the Graduate Merit Award.
Oct 27, 2024	Two papers accepted at IEEE BigData 2024 and presented in Washington, D.C.
Jun 29, 2024	Joined Georgia Tech as a visiting scholar from June 2024 to August 2024.
Jun 01, 2023	One paper published in Information Sciences (JCR Q1, Top 7.9%).
Jan 31, 2023	Selected for the Innovation Talent Scholarship by the Korean Ministry of Education.

Selected Publications

SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory Replay

Min-Seon Kim, Ling Liu, and Hyuk-Yoon Kwon

IEEE BigData, 2024

Bib PDF Video Code

@article{kim2024sprint,
  title = {SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory Replay},
  author = {Kim, Min-Seon and Liu, Ling and Kwon, Hyuk-Yoon},
  journal = {IEEE BigData},
  year = {2024}
}

OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts

Min-Seon Kim, Ling Liu, and Hyuk-Yoon Kwon

IEEE BigData, 2024

Bib PDF Video Code

@article{kim2024ol4tex,
  title = {OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts},
  author = {Kim, Min-Seon and Liu, Ling and Kwon, Hyuk-Yoon},
  journal = {IEEE BigData},
  year = {2024}
}

Historical credibility for movie reviews and its application to weakly supervised classification

Min-Seon Kim, Bo-Young Lim, Han-Sub Shin, and 1 more author

Information Sciences, 2023

Bib PDF

@article{kim2023historical,
  title = {Historical credibility for movie reviews and its application to weakly supervised classification},
  author = {Kim, Min-Seon and Lim, Bo-Young and Shin, Han-Sub and Kwon, Hyuk-Yoon},
  journal = {Information Sciences},
  year = {2023}
}

Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment

Min-Seon Kim, Bo-Young Lim, Kisung Lee, and 1 more author

Sensors, 2022

Bib PDF

@article{kim2022effective,
  title = {Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment},
  author = {Kim, Min-Seon and Lim, Bo-Young and Lee, Kisung and Kwon, Hyuk-Yoon},
  journal = {Sensors},
  year = {2022}
}