Introduce
I am a fifth-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
2026
Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers
[arXiv]
[project]
[code]
CVPR 2026 (Highlight)
Wongi Jeong*, Kyungryeol Lee*, Hoigi Seo, Se Young Chun (*co-first)
Training-free, Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient Workflows of Diffusion Models
[arXiv]
[project]
CVPR 2026
Wongi Jeong*, Hoigi Seo*, Se Young Chun (*co-first)
2025
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
[arXiv]
[project]
[code]
ICCV 2025
Byung Hyun Lee, Wongi Jeong, Woojae Han, Kyoungbun Lee, Se Young Chun
Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation
[arXiv]
[project]
ICML 2025
Hoigi Seo*, Wongi Jeong*, Jae-sun Seo, Se Young Chun (*co-first)
Efficient Personalization of Quantized Diffusion Model without Backpropagation
[paper]
[arXiv]
[project]
[code]
CVPR 2025 / CVPRW (EDGE) 2025
Hoigi Seo*, Wongi Jeong*, Kyungryeol Lee, Se Young Chun (*co-first)
Harmonization for a black-box deep learning model
ISMRM 2025 (Oral, Summa cum laude)
Minjun Kim, Hwihun Jeong, Hoigi Seo, Wongi Jeong, Juhyung Park, Se Young Chun, Jongho Lee
2023
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors
[paper]
[arXiv]
[project]
[code]
ICCV 2023
Haechang Lee*, Dongwon Park*, Wongi Jeong*, Kijeong Kim, Hyunwoo Je, Dongil Ryu, Se Young Chun (*co-first)
Fully Quantized Always-on Face Detector Considering Mobile Image Sensors
[arXiv]
ICCVW 2023 (Oral)
Haechang Lee*, Wongi Jeong*, Dongil Ryu*, Hyunwoo Je, Albert No, Kijeong Kim**, Se Young Chun** (*co-first, **co-corresponding)
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