Wongi Jeong

MS / Ph.D student ICL @ ECE, SNU

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 focus on making AI resource-efficient, computation-efficient, and model size-efficient in all aspects. I am interested in both Natural Language Processing (NLP) and Computer Vision (CV), but my current focus is on CV tasks. Specifically, my work explores the following areas:

  • Efficient AI
  • Model Compression
  • Quantization & Pruning

but not limited to.

Researches

2025
ICML25 Thumbnail

arXiv 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)

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CVPR25 Efficient Personalization of Quantized Diffusion Model without Backpropagation [arXiv] [project] [code]

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

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ISMRM25 (Oral) Harmonization for a black-box deep learning model

Minjun Kim, Hwihun Jeong, Hoigi Seo, Wongi Jeong, Juhyung Park, Se Young Chun, Jongho Lee

2023
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ICCV23 Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors [paper] [arXiv] [project] [code]

Haechang Lee*, Dongwon Park*, Wongi Jeong*, Kijeong Kim, Hyunwoo Je, Dongil Ryu, Se Young Chun (*co-first)

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ICCVW23 (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)

Recent posts