About

YeongHyeon Park, Ph.D.

yeonghyeon@sk.com / yeonghyeon@g.skku.edu

Research Interests

Anomaly Detection, Computer Vision, Signal Processing

Education

Ph.D. in Electrical and Computer Engineering (Feb.2022 - Feb.2025)
SungKyunKwan University, Rep. of Korea

Dissertation: Effective Anomaly Detection Towards Edge Computing by Leveraging Pre-trained Attention Mechanisms
Advisor: Prof. Juneho Yi

M.S. in Computer and Electronic Systems Engineering (Mar.2018 - Feb.2020)
Hankuk University of Foreign Studies, Rep. of Korea

Thesis: Performance Improvement based on Preprocessing Method in CNN-based STEIM Detection
Advisor: Prof. Il Dong Yun

B.S. in Digital Information Engineering, Minor in International Business (Feb.2012 - Feb.2018)
Hankuk University of Foreign Studies (HUFS), Rep. of Korea

Experience

Research Engineer
SK Planet Co., Ltd., Rep. of Korea (Sep.2019 - )

Research and Develop the Anomaly Detection System
Publications: 4 SCIE papers, 12 international conference papers (including work from research at SungKyunKwan University)
Patents: 4 registered patents

Research Assistant
Computer Vision Lab. SungKyunKwan University, Rep. of Korea (Oct.2021 - Jan.2025)

Research on Biosignal Analysis, Medical Image Analysis, and Anomaly Detection
Publications: 2 SCIE papers, 6 international conference papers

Research Assistant
Vision & Signal Processing Lab. Hankuk University of Foreign Studies, Rep. of Korea (Sep.2017 - Aug.2019)

Research on Biosignal Analysis, Medical Image Analysis, and Anomaly Detection
Publications: 4 SCIE papers
Patents: 2 registered patents

Research Intern
StoryAnt INC., Rep. of Korea (Jan.2017 - Feb.2017)

Research and Develop the Intelligent Archive

Publications

International Journal

[2024] YeongHyeon Park, Sungho Kang, Myung Jin Kim, Yeonho Lee, Hyeong Seok Kim, and Juneho Yi. “Visual Defect Obfuscation Based Self-Supervised Anomaly Detection” Scientific Reports [paper][poster]
[2023] YeongHyeon Park, Myung Jin Kim, Uju Gim, and Juneho Yi. “Boost-up Efficiency of Defective Solar Panel Detection with Pre-trained Attention Recycling” IEEE T-IA [paper][slide]
[2022] YeongHyeon Park and JongHee Jung. “Efficient Non-Compression Auto-Encoder for Driving Noise-Based Road Surface Anomaly Detection” IEEJ T-EEE [paper]
[2020] YeongHyeon Park, Won Seok Park, and Yeong Beom Kim. “Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network” ETRI Journal [paper]
[2020] YeongHyeon Park, Il Dong Yun, and Si-Hyuck Kang. “The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method” IEEJ T-EEE [paper]
[2019] YeongHyeon Park, Il Dong Yun, and Si-Hyuck Kang. “Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG” IEEE Access [paper]
[2019] YeongHyeon Park and Il Dong Yun. “Arrhythmia detection in electrocardiogram based on recurrent neural network encoder–decoder with Lyapunov exponent” IEEJ T-EEE [paper]
[2018] YeongHyeon Park and Il Dong Yun. “Fast Adaptive RNN Encoder–Decoder for Anomaly Detection in SMD Assembly Machine” Sensors [paper]

International Conference

[2025] YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeong Seok Kim, and Juneho Yi. “Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection” CVPR-W VAND3.0 (Accepted) [arXiv]
[2025] YeongHyeon Park, Myung Jin Kim, and Hyeong Seok Kim. “Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection” IEEE ISBI (Accepted) [arXiv][poster]
[2025] Myung Jin Kim YeongHyeon Park. “Encouraging LLM Thought Improvements for Medical Diagnosis Consistency” IEEE ISBI (1-Page Paper) (Accepted)
[2024] YeongHyeon Park, Sungho Kang, Myung Jin Kim, Yeonho Lee, and Juneho Yi. “Exploiting Connection-Switching U-Net for Enhancing Surface Anomaly Detection” IEEE ICECIE [paper][slide]
[2024] YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeonho Jeong, Hyunkyu Park, Hyeong Seok Kim, and Juneho Yi. “Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification” IEEE ICASSP [paper][poster]
[2024] Hanbyul Lee*, YeongHyeon Park*, and Juneho Yi. “Enhancing Defective Solar Panel Detection with Attention-guided Statistical Features using Pre-trained Neural Networks” IEEE BigComp [paper] (* Equal contribution)
[2023] YeongHyeon Park, Uju Gim, and Myung Jin Kim. “Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection” IEEE ICTC [paper][slide]
[2023] Sungho Kang, Hyunkyu Park, YeongHyeon Park, Yeonho Lee, Hanbyul Lee, Seho Bae, and Juneho Yi. “Exploiting Monocular Depth Estimation for Style Harmonization in Landscape Painting” IEEE ICKII [paper]
[2023] Hyunkyu Park, Sungho Kang, YeongHyeon Park, Yeonho Lee, Hanbyul Lee, Seho Bae, and Juneho Yi. “Unsupervised Image-to-Image Translation Based on Bidirectional Style Transfer” IEEE ICKII [paper]
[2023] YeongHyeon Park, Myung Jin Kim, Won Seok Park, and Juneho Yi. “Recycling for Recycling: RoI Cropping by Recycling a Pre-trained Attention Mechanism for Accurate Classification of Recyclables” IEEE SIST [paper][slide]
[2023] YeongHyeon Park, Myung Jin Kim, and Won Seok Park. “Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance” IEEE BigComp [paper][slide]
[2022] YeongHyeon Park, Myung Jin Kim, and Uju Gim. “Attention! Is Recycling Artificial Neural Network Effective for Maintaining Renewable Energy Efficiency?” IEEE TPEC [paper][slide]
[2021] YeongHyeon Park and JongHee Jung. “Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise” IEEE ICACEH [paper]
[2021] YeongHyeon Park and Myung Jin Kim. “Design of Cost-Effective Auto-Encoder for Electric Motor Anomaly Detection in Resource Constrained Edge Device” IEEE ECICE [paper]

Preprints

[2024] YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeong Seok Kim, and Juneho Yi. “Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection” [arXiv]
[2024] Dongeon Kim, YeongHyeon Park. “Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods” [arXiv]
[2022] YeongHyeon Park. “Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model” [arXiv]
[2018] YeongHyeon Park and Il Dong Yun. “Comparison of RNN Encoder-Decoder Models for Anomaly Detection” [arXiv]

Patents

Several pending status patents exist in environmental and industrial fields.
KR Patent 1027374770000, Management Method of Foreign Matter for Liquid Products based on a Graph and an Device Supporting the Same, Nov.2024.
KR Patent 1027374760000, Management Method of Foreign Matter for Liquid Products and an Device Supporting the Same, Nov.2024.
KR Patent 1024517510000, ECG preprocessing method and STEMI detection method, Sep.2022.
KR Patent 1023465330000, Road condition detection device and system, road condition detection method using the same, Dec.2021.
KR Patent 1021790400000, Apparatus and Method for Anomaly Detection of SMD Assembly Device Operation based on Deeplearnig, Nov.2020.

Certifications

NVIDIA DLI Certificate - Deep Learning for Industrial Inspection. NVIDIA
Big Data Analysis Engineer. KOREA Data Agency
NVIDIA DLI Certificate - Applications of AI for Anomaly Detection. NVIDIA
Advanced Data Analytics Semi-Professional. KOREA Data Agency
COVID19 Data Analysis Using Python. Coursera
Deep Learning Specialization. Coursera
Graphic Technical Qualification. Korea Productivity Center

Professional Activities

Editorial Board

Computers and Electrical Engineering, Elsevier (Feb.2025 - )

Journal Reviewer

International Journal of Computational Intelligence Systems (Dec.2024 - )
Multimedia Systems (Dec.2024 - )
Discover Artificial Intelligence (Oct.2024 - )
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) (Sep.2024 - )
IEEE Signal Processing Letters (Aug.2024 - )
Journal of Nondestructive Evaluation (Mar.2024 - )
Electronics Letters (Jan.2024 - )
Signal, Image and Video Processing (Jan.2024 - )
Scientific Reports (Sep.2023 - )
The Journal of Supercomputing (Aug.2023 - )
IEEE Access (Jun.2021 - )

Conference Reviewer

Additional Activities

NVIDIA University Ambassador [certificate]
NVIDIA DLI Instructor [certificate]
Kaggle Notebooks Expert [profile]