Kibum Kim

Ph.D student majoring Machine Learning

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Hello, I’m Kibum Kim!

Currently, I’m a third-year Ph.D student in Industrial & Systems Engineering at KAIST, where i am fortunate to be advised by Prof. Chanyoung Park. I’m holding a position of visiting scholar at University of California SanDiego (UCSD), mentored by Prof. Julian McAuley.

During my visit, I am focusing on Video Large Language Models to address their limitations in visual grounding capability. Previously, my research interests lay in scene understanding in the image and video domains, where I worked on challenges such as long-tailed distributions, data scarcity, and recommender systems.

If you are interested or have any question, please don’t hesitate to reach out to me at kb.kim@kaist.ac.kr email.


News

Aug 22, 2025 A paper got accepted at EMNLP 2025.
May 15, 2025 A paper got accepted at KDD 2025.
Mar 23, 2025 A paper got accepted at SGIR 2025.
Jan 23, 2025 A paper got accepted at ICLR 2025.
Dec 10, 2024 A paper got accepted at AAAI 2025.
Jul 16, 2024 A paper got accepted at CIKM 2024.

Educations

Korea Advanced Institute of Science and Technology (link)Sep. 2023 - Present
  • Ph.d in Industrial and Systems Engineering
  • Research interest: Scene Understanding, Recommender Systems, Graph Neural Networks
  • Advisor: Chanyoung Park
  • Korea Advanced Institute of Science and Technology (link)Sep. 2021 - Jul. 2023
  • M.S in Industrial and Systems Engineering
  • Research interest: Scene Understanding, Recommender Systems, Graph Neural Networks
  • Advisor: Chanyoung Park
  • Hanyang University (link) Mar. 2015 - Aug. 2021
  • B.S., Industrial Engineering (major) & Computer Science (minor)

  • Project

    NAVER-Intel-KAIST (NIK) AI Collaboration Project Jul. 2024 - Present
  • Building a new AI ecosystem for increasing usability and applicability of Gaudi-v2 (link)
  • AI Development for reasoning, extraction, understanding of Common-sense Jun. 2022 - Present
  • Reasoning the visual context based on common-sense
  • Visual Intelligence Technique Development (ETRI) Jun. 2021 - Present
  • Scene graph generation for reasoning the visual context

  • Teaching Experience

    KSE801: Recommender System and Graph Machine Learning Fall 2022
  • Teaching Assistant Review session
  • KSE527: Machine Learning for Knowledge Service Spring 2022
  • Teaching Assistant