Hyo Seo (Claudia) Kim

About Me

Hi!  I'm a first-year Ph.D. student in Computer Engineering at Illinois Tech, advised by Prof. Ren Wang. I received my M.S. in Computer Science and Engineering from Sogang University, advised by Prof. Junsuk Choe. My research focuses on developing reliable and scalable machine learning, especially in Model Editing and Continual Learning. Feel free to reach out to chat more about this.

In addition, this is my cute dog named Star! :)

Publications

[ICML 2025 & NeurIPS 2024 Workshop] NegMerge: Sign-Consensual Weight Merging for Machine Unlearning  [link]

Hyo Seo Kim, Dongyoon Han*, Junsuk Choe* (* corresponding author)

• Internship project at NAVER AI Lab.
  
  

[PRL 2025] Curriculum Learning with Class-label Composition for Weakly Supervised Semantic Segmentation [link]

Dongjun Hwang, Hyo Seo Kim, Doyeol Baek, Hyunbin Kim, Inhye Kye, Junsuk Choe

[PRL 2024] Weakly-supervised Incremental learning for Semantic segmentation with Class Hierarchy  [link]

Hyo Seo Kim, Junsuk Choe

Education

Illinois Institute of Technology, Illinois, USA (Aug. 2025 - now)

• Ph.D. in Computer Engineering

• Advisor: Ren Wang

Sogang University, Seoul, Korea (Aug. 2022 - Aug. 2025)

• M.S. in Computer Science and Engineering

• Advisor: Junsuk Choe

Philipps-University, Marburg, Germany (Mar. 2021 - Aug. 2021)

• Exchange program

Sogang University, Seoul, Korea (Feb. 2018 - Aug. 2022)

• B.A. in Economics 

• B.S. in Computer Science and Engineering

• Graduated with Cum laude

Academic Services

• Conference Volunteer: IEEE MASS 2025

• Conference Reviewer: CPAL 2025

• Journal Reviewer: Pattern Recognition Letters (Elsevier), 2025

Interests

• Computer Vision

• Object Segmentation

• Semantic Segmentation

• Weakly-Supervised Learning

• Incremental Learning

• Machine Unlearning