Introduce

I am a fourth-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

2025
ICCV25 Thumbnail

Upsample What Matters: Region-Adaptive Latent Sampling for Accelerated Diffusion Transformers [arXiv] [code]

Under-Review

Wongi Jeong*, Kyungryeol Lee*, Hoigi Seo, Se Young Chun (*co-first)

ICCV25 Thumbnail

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

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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)

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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)

ISMRM25 Thumbnail

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
ICCV23 Thumbnail

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)

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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)

Recent posts