Gue-bin Choi
- Major
- Geometric Deep Learning
- Position
- Associate Professor
- Tel
- +82-63-270-3387
- guebin@jbnu.ac.kr
- Office
- Room 205, College of Natural Sciences Main Building
research achievements
Grants
This section introduces only the research projects I personally led. Collaborative projects where I was not the Principal Investigator (PI) are excluded.
·Geometric Deep Learning: Statistical Methodology for Non-Euclidean Data
생애 첫 연구 (2021.09–2022.08), Project No. 2021R1G1A1094937
·A Study of Multiscale Methods in Non-Euclidean Data
지역대학우수과학자 (2023.06–2029.05), Project No. RS-2023-00249743
Full Paper List
For a complete list of publications, click Google Scholar.
Packages
· EPT — Ensemble Patch Transformation
Language: R
Repository: CRAN
Summary: Framework for multiscale signal decomposition and filtering via ensemble patch
transformations.
This section introduces only the research projects I personally led. Collaborative projects where I was not the Principal Investigator (PI) are excluded.
·Geometric Deep Learning: Statistical Methodology for Non-Euclidean Data
생애 첫 연구 (2021.09–2022.08), Project No. 2021R1G1A1094937
·A Study of Multiscale Methods in Non-Euclidean Data
지역대학우수과학자 (2023.06–2029.05), Project No. RS-2023-00249743
Full Paper List
For a complete list of publications, click Google Scholar.
Packages
· EPT — Ensemble Patch Transformation
Language: R
Repository: CRAN
Summary: Framework for multiscale signal decomposition and filtering via ensemble patch
transformations.
Representative Publications
This section highlights select research accomplishments that directly align with my core research.
Choi, G., & Oh, H. S. (2025). Exploring multiscale methods: reviews and insights. Journal of the Korean Statistical Society, 1–38.
Choi, S., & Choi, G. (2025). Gode: graph Fourier transform based outlier detection using empirical Bayesian thresholding. Journal of the Korean Statistical Society, 1–21.
Choi, G., & Oh, H. S. (2024). Decomposition via elastic-band transform. Pattern Recognition Letters, 182, 76–82.
Choi, G., & Oh, H. S. (2023). Elastic-band transform for visualization and detection. Pattern Recognition Letters, 166, 119–125.
Kim, D., Choi, G., & Oh, H. S. (2020). Ensemble patch transformation: a flexible framework for decomposition and filtering of signal. EURASIP Journal on Advances in Signal Processing, 2020(1), 1–27.
Choi, G., Oh, H. S., & Kim, D. (2018). Enhancement of variational mode decomposition with missing values. Signal Processing, 142, 75–86
Choi, G., & Oh, H. S. (2025). Exploring multiscale methods: reviews and insights. Journal of the Korean Statistical Society, 1–38.
Choi, S., & Choi, G. (2025). Gode: graph Fourier transform based outlier detection using empirical Bayesian thresholding. Journal of the Korean Statistical Society, 1–21.
Choi, G., & Oh, H. S. (2024). Decomposition via elastic-band transform. Pattern Recognition Letters, 182, 76–82.
Choi, G., & Oh, H. S. (2023). Elastic-band transform for visualization and detection. Pattern Recognition Letters, 166, 119–125.
Kim, D., Choi, G., & Oh, H. S. (2020). Ensemble patch transformation: a flexible framework for decomposition and filtering of signal. EURASIP Journal on Advances in Signal Processing, 2020(1), 1–27.
Choi, G., Oh, H. S., & Kim, D. (2018). Enhancement of variational mode decomposition with missing values. Signal Processing, 142, 75–86
Books
Not applicable.
Workshop & Conference Papers
· Heavy-Snow Transform: A New Multiscale Method for Time Series
The 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting, National University of Singapore, June 2018.
· Elastic-Band Transform: A New Approach to Multiscale Visualization
Joint Meeting of the 10th Asian Regional Section (ARS) of the International Association for Statistical Computing (IASC) and the NZ Statistical Association (NZSA), The University of Auckland, December 2017.
· Modified Variational Mode Decomposition using Ebayesthresh
The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, The Chinese University of Hong Kong, June 2016.
The 5th Institute of Mathematical Statistics Asia Pacific Rim Meeting, National University of Singapore, June 2018.
· Elastic-Band Transform: A New Approach to Multiscale Visualization
Joint Meeting of the 10th Asian Regional Section (ARS) of the International Association for Statistical Computing (IASC) and the NZ Statistical Association (NZSA), The University of Auckland, December 2017.
· Modified Variational Mode Decomposition using Ebayesthresh
The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, The Chinese University of Hong Kong, June 2016.