Minseong Kim
Minseong Kim
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About Me
About Me
My research spans computer vision, computer graphics, 3D modeling, computational science, and AI for Science. I develop AI models for understanding and generating geometric structures, with applications in 3D CAD and engineering. I also explore AI for biodiversity and agriculture, including insect recognition and species distribution modeling. I am currently a Ph.D. student in the DeLab at Yonsei University, advised by Prof. Sanghyun Park. I received both my M.S. and B.S. degrees in Computer Science and Engineering from Incheon National University (INU), under the supervision of Prof. Jibum Kim.
Email / CV / Google Scholar / ORCID / GitHub
News
News
[Jul. 2026] A paper entitled "HIVE: Hierarchical Identification in Visual Entomology for Pest Recognition" has been accepted to Ecological Informatics.
[Jul. 2026] Started my Ph.D. journey in Computer Science at Yonsei University.
[Sep. 2025] A paper entitled "GuideCAD: A lightweight multimodal framework for 3D CAD model generation via prefix embedding" has been accepted to IEEE ACCESS. Â
[Nov. 2024] I work as a AI Research Engineer at CRCIV(Convergence Research Center for Insect Vectors) as part of my Military Service (Technical Research Personnel).Â
[Jun. 2024] A paper entitled "ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models" has been accepted to IEEE ACCESS.
[Oct. 2023] A paper entitled "Generating 3D CAD Models using a Transformer Autoencoders and a Diffusion Model" has been accepted to Journal of the Institute of Electronics and Information Engineers (IEIE).
[Mar. 2023] A paper entitled "GMR-Net: GCN-based Mesh Refinement Framework for Elliptic PDE problems" has been accepted to Engineering with Computers.
[Mar. 2023] I work as a Software Engineer at CareSquare as part of my Military Service (Technical Research Personnel).Â
[Feb. 2023] I completed my Master's degree at Incheon National University (INU).
[Oct. 2022] A paper entitled "A Data-driven Mesh Refinement Framework for Generating Non-Uniform Meshes" has been accepted to Journal of the Institute of Electronics and Information Engineers (IEIE).
[Mar. 2022] A paper entitled "A deep-learning-based mesh refinement framework for solving PDEs" has been accepted for oral presentation at the International Conference on Computational Science (ICCS) 2022.Â
[Feb. 2021] After completing my B.S. at Incheon National University (INU), I continued directly into my M.S. studies.
Work Experience
Work Experience
Nov. 2024 -May 2026, AI Research Engineer at CRCIV (Convergence Research Center for Insect Vectors) as Military Service (Technical Research Personnel)
Mar. 2023 - Nov. 2024, Software Engineer at CareSquare as Military Service (Technical Research Personnel)
Design and implement Golang-based backend systems, develop REST APIs, and manage database architecture and server deployments, focusing on performance optimization and feature enhancements
Integrated in-app purchases and payment systems, including Bootpay and Hecto Financial
Publications
Publications
International
M. Kim, J. Choi, J. Park, O. Frunze, S. Kahng, B. Choi, W. Kang, H. Kwon, "HIVE: Hierarchical Identification in Visual Entomology for Pest Recognition", Ecological Informatics, 2026. (JCR Top 3.7%, IF:8.5)
M. Kim, J. Park, S. Park, J. Kim, GuideCAD: A lightweight multimodal framework for 3D CAD model generation via prefix embedding, IEEE Access, vol. 13, pp. 153406-153419, 2025 (IF=3.6)
M. Jung, M. Kim, J. Kim, ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models, IEEE Access, vol. 12, pp. 84830-84842, 2024 (IF=3.4).
M. Kim, J. Lee, J. Kim, GMR-Net: GCN-based Mesh Refinement Framework for Elliptic PDE problems, Engineering with Computers, vol. 39, pp. 3721-3737, 2023 (JCRÂ Top 2.6%, IF=8.7).
M. Kim, J. Lee, J. Kim, A deep-learning-based mesh refinement framework for solving PDEs, International Conference on Computational Science (ICCS), Oral Presentation (Abstract), United Kingdom, 2022.Â
Domestic (Korea)
S. Jung, J. Kim, J. Park, M. Kim, M. Jung, J. Kim, ViPCAD: A Vision and Prompt-based Multimodal Model for CAD Command Sequence Generation, Korea Computer Congress (KCC), 2025, Oral.
M. Jung, M. Kim, J. Kim, Generating 3D CAD Models using a Transformer Autoencoders and a Diffusion Model, Journal of the Institute of Electronics and Information Engineers (IEIE), pp. 25-28, 2023.
M. Kim, J. Lee, J. Kim, A Data-driven Mesh Refinement Framework for Generating Non-Uniform Meshes, Journal of the Institute of Electronics and Information Engineers (IEIE), pp. 75-85, 2022.Â
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