👨🏻💻 Work hard 🛫 Travel the World
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📬 ksn4397[at]kaist[dot]ac[dot]kr
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Hello! I am a Ph.D. student at the Optimization & Statistical Inference Lab at KAIST AI, advised by Prof. Se-Young Yun. In 2023, I visited AWS Computer Vision Science as an Applied Scientist Intern, mentored by Haofu Liao and Srikar Appalaraju. Before AWS, I worked at NAVER WEBTOON AI as a Research Intern, mentored by Junsoo Lee. My main research interests include Self-/Semi-/Un-Supervised Learning, Multimodal Representation Learning, Few-Shot Learning, and any fascinating topics in computer vision.
Sep 2024
🎉 One paper accepted to EMNLP 2024 (work from AWS internship). [link]
🎉 One paper accepted to SLT 2024. [link]
Jun 2024
🎉 One paper accepted to ICML 2024. [link]
🎉 One paper accepted to ICML 2024 Workshop. [link]
🎉 One paper accepted to KDD 2024 Workshop. [link]
Dec 2023
🎉 One paper accepted to ICASSP 2024. [link] 🏆 Selected as Best Student Paper Award!
🎉 One paper accepted to NeurIPS 2023 Workshop on SSL. [link]
May 2023
🎉 Two papers accepted to Interspeech 2023 (one as a corresponding author). [link]
🍀 I’m joining Amazon AWS AI Labs as an Applied Scientist Intern for Jul-Nov 2023!
Feb 2023
🎉 One paper accepted to CVPR 2023. [link] Also invited to CVPR Workshop on Fine-Grained Visual Categorization. (FGVC10)
Nov 2022
🎉 One paper accepted to AAAI 2023 (Oral). [link]
🎉 One paper accepted to NeurIPS 2022 Workshop on SSL. [link]
🍀 I’m joining NAVER WEBTOON AI as a Research Intern for Jan-Jun 2023!
🎙️ Invited to deliver a talk at VESSL AI NeurIPS Preview**! [page]**
Sep 2022
🎉 One paper accepted to NeurIPS 2022. [link]
🎉 One paper accepted to CIKM 2022. [link]
Jun 2022
🎉 Three papers accepted to ICML 2022 Workshops (including an oral presentation).
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