Sunghwan Kim

Orcid: 0000-0002-0442-7795

Affiliations:

Konkuk University, Department of Applied Statistics, Seoul, South Korea
Korea University, Department of Statistics, Seoul, South Korea (former)
Keimyung University, Department of Statistics, Daegu, South Korea (former)

According to our database¹, Sunghwan Kim authored at least 18 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Selective Audio Perturbations for Targeting Specific Phrases in Speech Recognition Systems.

[BibT_eX]

[DOI]

Kyoungmin Ko

Sunghwan Kim

Hyun Kwon

Int. J. Comput. Intell. Syst., December, 2025

Dual-Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks.

[BibT_eX]

[DOI]

Hyun Kwon

Sunghwan Kim

IEEE Access, 2025

2024

Automated Technology for Strawberry Size Measurement and Weight Prediction Using AI.

[BibT_eX]

[DOI]

IEEE Access, 2024

2023

Multi-targeted audio adversarial example for use against speech recognition systems.

[BibT_eX]

[DOI]

Kyoungmin Ko

Sunghwan Kim

Hyun Kwon

Comput. Secur., May, 2023

CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation.

[BibT_eX]

[DOI]

IEEE Access, 2023

2022

Optimized Adversarial Example With Classification Score Pattern Vulnerability Removed.

[BibT_eX]

[DOI]

Hyun Kwon

Kyoungmin Ko

Sunghwan Kim

IEEE Access, 2022

2021

Weighted Mask R-CNN for Improving Adjacent Boundary Segmentation.

[BibT_eX]

[DOI]

J. Sensors, 2021

SqueezeFace: Integrative Face Recognition Methods with LiDAR Sensors.

[BibT_eX]

[DOI]

J. Sensors, 2021

Reinforcement Learning Guided by Double Replay Memory.

[BibT_eX]

[DOI]

J. Sensors, 2021

2020

Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior.

[BibT_eX]

[DOI]

J. Sensors, 2020

Penalized log-density estimation using Legendre polynomials.

[BibT_eX]

[DOI]

Commun. Stat. Simul. Comput., 2020

2019

Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data.

[BibT_eX]

[DOI]

J. Sensors, 2019

Integrative Deep Learning for Identifying Differentially Expressed (DE) Biomarkers.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2019

Predictive Models of Fire via Deep learning Exploiting Colorific Variation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

2018

Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2018

2017

Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2017

Erratum to: Meta-analytic support vector machine for integrating multiple omics data.

[BibT_eX]

[DOI]

BioData Min., 2017

Meta-analytic support vector machine for integrating multiple omics data.

[BibT_eX]

[DOI]

BioData Min., 2017

Sunghwan Kim

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