We stand with Ukraine  

Dohyun Kim

Orcid: 0000-0003-1669-6746

Affiliations:
  • Myongji University, Department of Industrial and Management Engineering, Yongin, Korea
  • Korea Advanced Institute of Science and Technology, KAIST, Department of Industrial Engineering, Korea (PhD 2007)


According to our database1, Dohyun Kim authored at least 14 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning.
[BibTeX]
[DOI]
Jeongjoon Hwang
,
Somi Ha
,
Dohyun Kim
IEEE Access, 2025

2024
Analysis of tabular data based on graph neural network using supervised contrastive loss.
[BibTeX]
[DOI]
Seungyeon Lee
,
Minyoung Park
,
Younggeun Ahn
,
Gyeong Bok Jung
,
Dohyun Kim
Neurocomputing, February, 2024

2022
Deep learning based recommender system using cross convolutional filters.
[BibTeX]
[DOI]
Seungyeon Lee
,
Dohyun Kim
Inf. Sci., 2022

Decision Tree Algorithm Considering Distances Between Classes.
[BibTeX]
[DOI]
Sangyong Lee
,
Chulhee Lee
,
Kwon Gi Mun
,
Dohyun Kim
IEEE Access, 2022

2021
Similarity based Deep Neural Networks.
[BibTeX]
[DOI]
Seungyeon Lee
,
Eunji Jo
,
Sangheum Hwang
,
Gyeong Bok Jung
,
Dohyun Kim
Int. J. Fuzzy Log. Intell. Syst., 2021

2020
Additive Ensemble Neural Networks.
[BibTeX]
[DOI]
Minyoung Park
,
Seungyeon Lee
,
Sangheum Hwang
,
Dohyun Kim
IEEE Access, 2020

2018
A Scalable Feature Based Clustering Algorithm for Sequences with Many Distinct Items.
[BibTeX]
[DOI]
Sangheum Hwang
,
Dohyun Kim
Int. J. Fuzzy Log. Intell. Syst., 2018

2017
Embedded variable selection method using signomial classification.
[BibTeX]
[DOI]
Kyoungmi Hwang
,
Dohyun Kim
,
Kyungsik Lee
,
Chungmok Lee
,
Sungsoo Park
Ann. Oper. Res., 2017

2016
A robust support vector regression with a linear-log concave loss function.
[BibTeX]
[DOI]
Dohyun Kim
,
Chungmok Lee
,
Sangheum Hwang
,
Myong K. Jeong
J. Oper. Res. Soc., 2016

2015
Robust kernel-based regression with bounded influence for outliers.
[BibTeX]
[DOI]
Sangheum Hwang
,
Dohyun Kim
,
Myong K. Jeong
,
Bong-Jin Yum
J. Oper. Res. Soc., 2015

A Network Structural Approach to the Link Prediction Problem.
[BibTeX]
[DOI]
Chungmok Lee
,
Minh Pham
,
Myong Kee Jeong
,
Dohyun Kim
,
Dennis K. J. Lin
,
Wanpracha Art Chaovalitwongse
INFORMS J. Comput., 2015

2014
Inter-cluster connectivity analysis for technology opportunity discovery.
[BibTeX]
[DOI]
Byunghoon Kim
,
Gianluca Gazzola
,
Jae-Min Lee
,
Dohyun Kim
,
Kanghoe Kim
,
Myong K. Jeong
Scientometrics, 2014

A Graph Kernel Approach for Detecting Core Patents and Patent Groups.
[BibTeX]
[DOI]
Dohyun Kim
,
Bangrae Lee
,
Hyuck Jai Lee
,
Sang Pil Lee
,
Yeongho Moon
,
Myong Kee Jeong
IEEE Intell. Syst., 2014

2012
Automated Detection of Influential Patents Using Singular Values.
[BibTeX]
[DOI]
Dohyun Kim
,
Bangrae Lee
,
Hyuck Jai Lee
,
Sang Pil Lee
,
Yeongho Moon
,
Myong K. Jeong
IEEE Trans Autom. Sci. Eng., 2012


  Loading...