Introduce
I am a third-year MS/Ph.D student in electrical and computer engineering (ECE) at Seoul National University (SNU), advised by Prof. Se Young Chun. I earned my B.S degree in electrical and computer engineering (ECE) from Seoul National University (SNU).
Research Interests
My research interests broadly lie in "efficient" AI. I aim to make AI systems resource-, computation-, and parameter-efficient across all stages of development and deployment. While I am interested in both Natural Language Processing (NLP) and Computer Vision (CV), my current focus is on CV tasks. Specifically, my research explores, but is not limited to, the following areas:
- Efficient Deep Learning
- Model Compression Techniques
- Quantization and Pruning
Researches
ICCV 2025 Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
Byung Hyun Lee, Wongi Jeong, Woojae Han, Kyoungbun Lee, Se Young Chun
ICML 2025 Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation [arXiv]
Hoigi Seo*, Wongi Jeong*, Jae-sun Seo, Se Young Chun (*co-first)
ISMRM 2025 (Oral) Harmonization for a black-box deep learning model
Minjun Kim, Hwihun Jeong, Hoigi Seo, Wongi Jeong, Juhyung Park, Se Young Chun, Jongho Lee
ICCVW 2023 (Oral) Fully Quantized Always-on Face Detector Considering Mobile Image Sensors [arXiv]
Haechang Lee*, Wongi Jeong*, Dongil Ryu*, Hyunwoo Je, Albert No, Kijeong Kim**, Se Young Chun** (*co-first, **co-corresponding)