CV

Affiliation: Nota AI, Seoul, South Korea
Email: dhwjdgns1002@gmail.com
Google scholar: profile

Education

Integrated Ph.D. program in Department of Electrical and Computer Engineering (Mar. 2020 – Aug. 2026)
Seoul National University (SNU), Seoul, South Korea
Advisor: Prof. Kyoung Mu Lee

B.S. in Department of ECE (Mar. 2016 – Feb. 2020)
Seoul National University (SNU), Seoul, South Korea

Work Experience

Nota AI, Seoul, South Korea (Oct. 2026 – Present)
Position: Quantization Research Engineer

Publications

• Junghun Oh, Sungyong Baik, and Kyoung Mu Lee, “SDS-LoRA: Overcoming Anisotropic Gradient Scaling in Low-Rank Adaptation”, In Neural Information Processing Systems (NeurIPS), 2026. [PDF]
• Jaeha Kim, Junghun Oh, and Kyoung Mu Lee, “Exploiting Diffusion Prior for Task-driven Image Restoration”, In International Conference on Computer Vision (ICCV), 2025. [PDF]
• Junghun Oh, Sungyong Baik, and Kyoung Mu Lee, “Find A Winning Sign: Sign Is All We Need to Win the Lottery”, In International Conference on Learning Representations (ICLR), 2025. [PDF]
• Cheeun Hong*, Sungyong Baik*, Junghun Oh, and Kyoung Mu Lee, “Difficulty, Diversity, and Plausibility: Dynamic Data-Free Quantization”, In Winter Conference on Applications of Computer Vision (WACV), 2025. [PDF]
• Junghun Oh*, Sungyong Baik*, and Kyoung Mu Lee, “CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning”, In European Conference on Computer Vision (ECCV), 2024. [PDF]
• Jaeha Kim, Junghun Oh, and Kyoung Mu Lee, “Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss”, In Computer Vision and Pattern Recognition (CVPR), 2024. [PDF]
• Junghun Oh, Heewon Kim, Seungjun Nah, Cheeun Hong, Jonghyun Choi and Kyoung Mu Lee, “Attentive Fine-Grained Structured Sparsity for Image Restoration”, In Computer Vision and Pattern Recognition (CVPR), 2022. [PDF], [SUPP], [CODE]
• Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, and Kyoung Mu Lee, “Batch Normalization Tells You Which Filter is Important”, Winter Conference on Applications of Computer Vision (WACV), 2022. [PDF], [SUPP]
• Cheeun Hong*, Heewon Kim*, Sungyong Baik, Junghun Oh, and Kyoung Mu Lee, “DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks”, Winter Conference on Applications of Computer Vision (WACV), 2022. [PDF]
• Sungyong Baik, Junghun Oh, Seokil Hong, and Kyoung Mu Lee, “Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation”, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), accepted. [PDF], [SUPP]