이한진 · Hanjin Lee · Computer Vision Engineer

I am

I'm Lee Han Jin, an AI engineer
with a passion for deep thinking.

4+

Years
Experience
with AI

Research Area

ML / DL
CV (Computer-Vision)
Security for AI & AI for Security

I'm Lee HanJin
an AI Engineer.

I'm Lee Han Jin, an AI engineer with a passion for deep thinking.

I am currently a graduate student in the Department of Computer Science at Yonsei University, focusing on advancing my knowledge and research in artificial intelligence.
Alongside my studies, I am also a dedicated researcher at AISLab where I contribute to groundbreaking projects and collaborate with a team of experts to explore new frontiers in AI technology.

Education

2023.03 ~ Present

Yonsei University,
Integrated Master's and Bachelor's Program in Computer Science.

2020.03 ~ 2024.02

Yonsei University Mirae Campus,
Bachelor of Science in Computer Engineering.

2016.03 ~ 2019.02

Sangmoon High School.

Publications

International Journal (SCI)

Tae-wook Kim, Han-Jin Lee, Hyeon-Jin Jung, Ji-Woong Yang & Ellen J. Hong (2024) -
SST-GCN: The Sequential based Spatio-Temporal Graph Convolutional networks for
Minute-level and Road-level Traffic Accident Risk Prediction.
arXiv preprint.

International Conference

Han-Jin Lee, Min-Su Joo, & Ellen J. Hong (2022) -
Pre-Processing Method for Improving Performance of Port Hole Datasets.
KICSP Summer Academic Conference.

Domestic Journal (KCI)

Han-Jin Lee, In-Woong Jeong, Jae-Hwan Jeong and Seok-Hwan Choi. (2024) -
Improving Graph-Based Malware Detection Performance using Centrality Features.
Journal of Korean Institute of Intelligent Systems, 34(2), 95-101.
Han-Jin Lee, Ji-Woong Yang and Ellen J. Hong. (2022) -
Proposed Pre-Processing Method for Improving Pothole Dataset Performance in
Deep Learning Model and Verification by YOLO Model. JISPS, 23(4), 249-255.

Domestic Conference

이한진, 이한주, 정현진, 강동혁 & 최석환 (2024) - Data-Localization 환경에서의 White-Box Model Inversion Attack 시나리오. KCC 한국컴퓨터종합학술대회
이한진, 정현진 & 홍정희 (2023) - Eigenvector Centrality를 활용한 악성코드 Function Call Graph의 Node Feature 추가 방안. KICSP 동계학술대회
이한진, 정재환, 정인웅 & 최석환 (2023) - Centrality를 활용한 그래프 기반 악성코드 탐지 성능 향상 방안. KIIS 추계학술대회
이한진, 정현진 & 홍정희 (2023) - LSTM을 활용한 도로 수준의 교통 사고 위험 예측. KICSP 하계학술대회
정현진, 정태원, 이한진 & 최석환 (2023) - 쿼리 기반 블랙박스 적대적 공격 방어 기법의 한계에 관한 연구. KIIS 춘계학술대회
이한진, 현승민, & 홍정희 (2021) - CycleGan을 이용한 증강현실 구현의 효율성 증가. KAICTS 추계학술대회
이한진, 박찬홍, & 홍정희 (2021) - 딥러닝 표정 인식을 활용한 고통 강도 예측. KAICTS 하계학술대회