Conducted research on Sign Language Video Anonymization using landmark-based, color-encoded video-to-video translation with GAN-based models
Fine-tuned Stable Diffusion models to generate artist-specific images reflecting unique artistic styles using custom instance and class datasets
Participated in the VCDW @ CVPR 2023 Video Similarity Challenge, ranked 5th place, developing models to detect whether a query video contains content from a reference video set
Designed and implemented a Safety Harness Detection system using YOLOv5 and Gaussian Mixture Models; collected, labeled, and preprocessed data for pre-training and fine-tuning
Visiting Research Scholar
Carnegie Mellon School Of Computer Science
07.2023 - 02.2024
Korea Institute for Information & Communications Technology Promotion (IITP) AI Intensive Program, AI scholarship program funded by the Korean government
Completed graduate-level courses including:
- Introduction to Deep Learning
- Scalable Multimedia Data Analysis
- Natural Language Processing
- AIER Studio Project (Applied AI Research)
Conducted collaborative research, resulting in the following publications:
- Main Conference of EMNLP 2024 (Accepted)
- 4th Multilingual Representation Learning Workshop @ EMNLP 2024 (Accepted)
- Trustworthy AI Workshop @ IJCAI 2024 (Oral Presentation Accepted)
Internship, Software Engineering
LG Electronics Inc
07.2024 - 08.2024
Built H2-based internal DB and implemented Spring Boot webserver for Android module binary management
Contributed to automation tools for Android build and binary release infrastructure
Internship, Machine Learning Engineer
Korea Institute of Science and Technology
03.2022 - 08.2022
Achieved 93.1% accuracy in Drum Sound Classification using CNNs (VGG19, ResNet-50, EfficientNet-B) on Mel-spectrogram data.
Developed an algorithm to generate music transcriptions for drum-playing robots
Internship, AI Researcher
VAIV
06.2021 - 08.2021
Applied statistical analysis on 20+ years of Korean stock data to discover profitable Stock Pairs for trading strategies.
Extracurricular Activities
Attended CVPR 2023 (June 2023), CES 2024 (January 2024) and IJCAI 2024 (July 2024)
LG Electronics Industry–University Scholarship | Sep 2022 – 2025
Awarded the Sogang Convergence Technology Contest (Android App) | Aug 2022 – Dec 2022
Distributed Computing & OS Lab R&D Activities | Dec 2021 – Jun 2022
Military Service in South Korea | Jul 2018 – Mar 2020
Education
Master of Science - Artificial Intelligence
Sogang University
Seoul, South Korea
04.2001 -
Bachelor of Science - Computer Science & Engineering
Sogang University
Seoul, South Korea
04.2001 -
Skills
Machine learning
Publications
Sohn, J., Jung, H., Cheng, A., Kang, J., Du, Y., & Mortensen, D. R. (2024). Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
Jung, H., Oh, C., Kang, J., Sohn, J., Song, K., Kim, J., & Mortensen, D. R. (2024). Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer.
Jung, J., Lee, S., Kang, J., & Na, Y. (2024). WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake Detection.
Jooeon Kang, & Jongho Nang (2024-12-18). Efficient Fine-Tuning Method for Learning Unique Artist Styles Based on Stable Diffusion. 한국정보과학회 학술발표논문집, 전남.
Timeline
Internship, Software Engineering
LG Electronics Inc
07.2024 - 08.2024
Visiting Research Scholar
Carnegie Mellon School Of Computer Science
07.2023 - 02.2024
Graduate Research Assistant
Multimedia System Lab. in Sogang University
09.2022 - Current
Internship, Machine Learning Engineer
Korea Institute of Science and Technology
03.2022 - 08.2022
Internship, AI Researcher
VAIV
06.2021 - 08.2021
Master of Science - Artificial Intelligence
Sogang University
04.2001 -
Bachelor of Science - Computer Science & Engineering