Robust Contrastive Learning with Dynamic Mixed Margin von So, Junhyuk, Lim, Yongtaek, Kim, Yewon, Oh, Changdae, Song, Kyungwoo

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Exploiting Activation Sparsity for Fast CNN Inference on Mobile GPUs von Oh, Chanyoung, So, Junhyuk, Kim, Sumin, Yi, Youngmin

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FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models von So, Junhyuk, Lee, Jungwon, Park, Eunhyeok

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Temporal Dynamic Quantization for Diffusion Models von So, Junhyuk, Lee, Jungwon, Ahn, Daehyun, Kim, Hyungjun, Park, Eunhyeok

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FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models von So, Junhyuk, Lee, Jungwon, Park, Eunhyeok

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Learning Fair Representation via Distributional Contrastive Disentanglement von Oh, Changdae, Won, Heeji, So, Junhyuk, Kim, Taero, Kim, Yewon, Choi, Hosik, Song, Kyungwoo

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NIPQ: Noise proxy-based Integrated Pseudo-Quantization von Shin, Juncheol, So, Junhyuk, Park, Sein, Kang, Seungyeop, Yoo, Sungjoo, Park, Eunhyeok

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Geodesic Multi-Modal Mixup for Robust Fine-Tuning von Oh, Changdae, So, Junhyuk, Byun, Hoyoon, Lim, YongTaek, Shin, Minchul, Jeon, Jong-June, Song, Kyungwoo

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Temporal Dynamic Quantization for Diffusion Models von So, Junhyuk, Lee, Jungwon, Ahn, Daehyun, Kim, Hyungjun, Park, Eunhyeok

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Geodesic Multi-Modal Mixup for Robust Fine-Tuning von Oh, Changdae, So, Junhyuk, Byun, Hoyoon, Lim, YongTaek, Shin, Minchul, Jong-June Jeon, Song, Kyungwoo

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NIPQ: Noise proxy-based Integrated Pseudo-Quantization von Shin, Juncheol, So, Junhyuk, Park, Sein, Kang, Seungyeop, Yoo, Sungjoo, Park, Eunhyeok

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Learning Fair Representation via Distributional Contrastive Disentanglement von Oh, Changdae, Heeji Won, So, Junhyuk, Kim, Taero, Kim, Yewon, Choi, Hosik, Song, Kyungwoo

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Professional Identity of Physical Education Teachers : What Does It Consist Of? von Junhyuk Park, Euichang Choi

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Radiation effect on the corrosion of disposal canister materials von Minsoo Lee, Junhyuk Jang, Jin Seop Kim

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Prediction of turbulent heat transfer using convolutional neural networks von Kim, Junhyuk, Lee, Changhoon

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Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers von Kim, Junhyuk, Lee, Changhoon

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Unsupervised deep learning for super-resolution reconstruction of turbulence von Kim, Hyojin, Kim, Junhyuk, Won, Sungjin, Lee, Changhoon

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Review on innovative small refrigeration methods for sub-Kelvin cooling von Dohoon, Kwon, Junhyuk, Bae, Sangkwon, Jeong

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Development of a TGC-based growth model for the olive flounder, Paralichthys olivaceus, and its application in developing a fish growth simulator architecture von Seo, Junhyuk, Park, Jeonghwan

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Video Object Segmentation Using Kernelized Memory Network With Multiple Kernels von Seong, Hongje, Hyun, Junhyuk, Kim, Euntai

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