Minseon Kim

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I am a PhD student in Computer Science at North Carolina State University, advised by Prof. Jung-Eun Kim. My research focuses on developing adaptive AI models that can learn and evolve efficiently. I study Continual Learning, designing cost-efficient algorithms that enable neural networks to acquire new knowledge sequentially without catastrophic forgetting. In parallel, I explore Machine Unlearning and efficient post-training strategies for Multimodal Large Language Models (MLLMs), aiming to build trustworthy and responsible AI systems.

Prior to joining NC State, I received both my MSc in Data Science and BSc in Industrial Engineering [Information Technology Management] from Seoul National University of Science and Technology (Seoul Tech), under the supervision of Prof. Hyuk-Yoon Kwon. I was also a visiting student at the Distributed Data Intensive Systems Lab at Georgia Institute of Technology (Georgia Tech) in 2024, hosted by Prof. Ling Liu. My long-term goal is to build systems that can reliably connect humans with machine learning technologies in alignment with their intentions.

News

Dec 26, 2025 [Top Journal] One paper accepted at IEEE TKDE (Impact Factor: 10.4, Top 2.3%).
Oct 31, 2025 [New Patent] Granted a patent by the Korean Intellectual Property Office (Registration No. 10-2881735).
Aug 18, 2025 [Award] Started the PhD program in Computer Science at NC State University, awarded the Graduate Merit Award.
Oct 27, 2024 [Top Conference] Two papers accepted at IEEE BigData 2024 (Acceptance rate: 18.8%), to be presented in Washington, D.C.
Jun 29, 2024 [Visiting] Joined Georgia Tech as a visiting scholar from June 2024 to August 2024.
Jun 01, 2023 [New Paper] One paper published in Information Sciences (Impact Factor: 8.233, Top 7.9%).
Jan 31, 2023 [Award] Selected for the Innovation Talent Scholarship by the Korean Ministry of Education.

Selected Publications

  1. sprint.png
    SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory Replay
    Min-Seon Kim, Ling Liu, and Hyuk-Yoon Kwon
    IEEE BigData, 2024
  2. ol4tex.png
    OL4TeX: Adaptive Online Learning for Text Classification under Distribution Shifts
    Min-Seon Kim, Ling Liu, and Hyuk-Yoon Kwon
    IEEE BigData, 2024
  3. movie.png
    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
  4. effective.png
    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