CV

YeongHyeon Park

yeonghyeon@sk.com / young200405@gmail.com (for personal)
[LinkedIn] [Google Scholar] [Github]

Education

Ph.D. in Electrical and Computer Engineering (2022.02 - )
SungKyunKwan University (SKKU), Rep. of Korea

M.S. in Computer and Electronic Systems Engineering (2018.03 - 2020.02)
Hankuk University of Foreign Studies (HUFS), Rep. of Korea

B.S. in Digital Information Engineering, Minor in International Business (2012.02 - 2018.02)
Hankuk University of Foreign Studies (HUFS), Rep. of Korea

Research Interests

Anomaly Detection, Computer Vision, Signal Processing, Edge Computing

Experience

Research Engineer
SK Planet Co., Ltd., Rep. of Korea (2019.09 - )

• Research and Develop the Anomaly Detection System
• Publications: 3 SCIE papers, 9 international conference papers

Research Assistant
Vision & Signal Processing Lab. Hankuk University of Foreign Studies (HUFS), Rep. of Korea (2017.09 - 2019.08)

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

Research Engineer
StoryAnt INC., Rep. of Korea (2017.01 - 2017.02)

• Research and Develop the Intelligent Archive

Publications

SCIE

• [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.” ETRIJ [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

• [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] (* The first two authors equally contributed to this work.) [paper]
• [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]

Domestic Conference

• [2023] 김재선, 박춘우, 박원석, 박영현, 조창현, 김동주. “공정 매개변수 및 열화상 이미지를 기반으로 한 다공성 결함 감지를 위한 고압 다이캐스팅 결함 예측 딥러닝 알고리즘에 관한 연구” [paper]
• [2023] 박영현, 김명진, 박원석, 이준호. “재활용품 분류 자동화 효율증대를 위한 어텐션 메커니즘 기반 객체분할 방법”
• [2023] 강성호, 박현규, 정현호, 박영현, 배세호, 이준호. “단안 영상 깊이 추정을 활용하는 객체 변환 합성”
• [2023] 박현규, 배세호, 박영현, 강성호, 이준호. “양방향 스타일 변환 네트워크를 사용하는 비지도 학습 기반의 도메인 간 영상 변환”
• [2023] 김명진, 박영현, 윤일동. “적대적 학습에서 긍정 샘플의 선정에 대한 기법”
• [2022] 김우주, 박영현. “이상 탐지를 위한 오토인코더 기반 잠재 벡터 확장” [arXiv]
• [2022] 박영현, 이준성, 김명진, 박원석. “주행 소음 기반 도로 이상탐지 성능 향상을 위한 주행 이벤트 추출 및 노이즈 감쇄 방법” [arXiv]
• [2022] 김명진, 박영현. “Attention 기반의 이상 부위 자동 labeling 기법”
• [2021] 박영현, 이준성, 박원석. “신뢰도 기반 개별 모델 영향력을 조정하는 자체 가중치 앙상블 방법” [arXiv]

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]

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

Patents

• Several pending status patents exist in environmental and industrial fields.
• ECG Preprocessing Method and STEMI Detection method. Republic of Korea. 2021
• A System and Method for Early Diagnosing Dental Caries base on The Deep Learning. Republic of Korea. 2020
• Apparatus and Method for Anomaly Detection of SMD Assembly Device Operation based on Deeplearnig. Republic of Korea. 2020

Additional Activities

• Reviewer in Scientific Reports, Springer (2023.09 - ) [reviewer list]
• NVIDIA University Ambassador [certificate]
• NVIDIA DLI Instructor [certificate]
• Kaggle Notebooks Expert [profile]