Gyumin Lee

Assistant Professor
Department of Management Information Systems, Dongguk University
(+82) 02-2260-3841
gyuminlee@dgu.ac.kr

prof_pic_glee6.jpg

L429, Building of Business Administration

30, Pildong-ro 1-gil, Jung-gu

Seoul, 04620, Republic of Korea

Bio

Gyumin Lee is an assistant professor at the Department of Management Information Systems, Dongguk Business School, Dongguk University. He received his Ph.D. degree in Management Science from Ulsan National Institute of Science and Technology (UNIST) in August 2023. He won the best research award for his thesis titled “Development of decision support systems for technology and business opportunity analysis”. Before he joined Dongguk University, he was a postdoctoral researcher at the Department of Statistics of Korea University.

His research interests encompass the development of data analytics methods with a focus on language models and their applications in practical domains, including patent analysis-based technology management, intelligent manufacturing systems, and drug discovery. Currently, he is interested in utilizing language models to uncover relationships among heterogeneous data in the latent space with the goal of generating new insights.

Selected publications

  1. Journal (SSCI/SCIE)
    Technological impact‑guided technology opportunity analysis using a generative‑predictive machine learning model
    Gyumin Lee, and Changyong Lee
    Scientometrics, 2025
    PDF
  2. Conference
    Repurformer: Transformers for Repurposing-Aware Molecule Generation
    Changhun Lee, and Gyumin Lee
    Language+Molecules @ ACL 2024 (Oral), 2024
    PDF
  3. Journal (SSCI/SCIE)
    Inventor–Licensee Matchmaking for University Technology Licensing: A fastText Approach
    Gyumin Lee, Sungjun Lee, and Changyong Lee
    Technovation, 2023
    PDF
  4. Journal (SCIE)
    A Convolutional Neural Network Model for SOH Estimation of Li-ion Batteries with Physical Interpretability
    Gyumin Lee, Daeil Kwon, and Changyong Lee
    Mechanical Systems and Signal Processing, 2023
    PDF
  5. Journal (SSCI)
    Towards Expert–Machine Collaborations for Technology Valuation: An Interpretable Machine Learning Approach
    Juram Kim, Gyumin Lee, Seungbin Lee, and 1 more author
    Technological Forecasting and Social Change, 2022
    PDF
  6. Journal (SCIE)
    State-of-Health Estimation of Li-ion Batteries in the Early Phases of Qualification Tests: An Interpretable Machine Learning Approach
    Gyumin Lee, Juram Kim, and Changyong Lee
    Expert Systems with Applications, 2022
    PDF
  7. Journal (SCIE)
    A Convolutional Neural Network Model for Abnormality Diagnosis in a Nuclear Power Plant
    Gyumin Lee, Seung Jun Lee, and Changyong Lee
    Applied Soft Computing, 2021
    PDF
  8. Conference
    Development of a method for identifying new drug candidates based on generative and predictive deep learning models considering the possibility of drug repurposing
    Gyumin Lee, and Changhun Lee
    2021 Spring Conference of Korean Institute of Industrial Engineers, 2021
    PDF
  9. Conference
    Development of a context-aware serendipitous recommender system
    Changhun Lee, and Gyumin Lee
    INFORMS Annual Meeting 2018, 2018
    PDF