Kibum Kim
Ph.D student majoring Machine Learning
Hello, I’m Kibum Kim!
Currently, I’m a Ph.D student in Industrial & Systems Engineering at KAIST, where i am fortunate to be advised by Prof. Chanyoung Park.
I’m actively on research with my best teammates at DSAIL@KAIST.
I’m interested in addressing the issue of long-tailedness in various domain such as Scene Understanding, Recommendation, and Graph Neural Networks.
- Scene Understanding: Predicate long-tailedness
- Recommendation: User & Item long-tailedness
- Graph Neural Networks: Class & Degree long-tailedness
Large Language Models (LLMs) shows the exceptional generalizability in NLP. I’m currently interested in leveraging them to address the practical challenges.
Feel free to contact me through kb.kim@kaist.ac.kr email.
News
| Feb 27, 2024 | A paper got accepted at CVPR 2024. |
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| Jan 23, 2024 | A paper got accepted at WWW 2024 (Oral). |
| Jan 6, 2024 | A paper got accepted at ICLR 2024. |
| Sep 1, 2023 | I started a Ph.D student in DSAIL at KAIST |
| Jul 1, 2023 | I graduated a master student in DSAIL at KAIST |
| Apr 4, 2023 | A paper got accepted at SIGIR 2023. |
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
- AI Development for reasoning, extraction, understanding of Common-sense Jun. 2022 - Present
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- Reasoning the visual context based on common-sense
- Visual Intelligence Technique Development (ETRI) Jun. 2021 - Present
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- Scene graph generation for reasoning the visual context
- Recommending Financial Product based on Graph Embeddings (Hana Bank) Dec. 2020 - June. 2021
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- Pre-processing the customer & financial product features
- Modeling the customer & financial product features by graph embedding (TransE, TransD)
Teaching Experience
- KSE801: Recommender System and Graph Machine Learning Fall 2022
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- Teaching Assistant Review session
- KSE527: Machine Learning for Knowledge Service Spring 2022
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- Teaching Assistant