28nm high- metal-gate heterogeneous quad-core CPUs for high-performance and energy-efficient mobile application processor. - Youngmin Shin; Ken Shin; Prashant Kenkare; Rajesh Kashyap; Hoi-Jin Lee; Dongjoo Seo; Brian Millar; Yohan Kwon; Ravi Iyengar; Min-Su Kim; Ahsan Chowdhury; Sung-il Bae; et al. (ISSCC, 2013)

23.1 20nm high-K metal-gate heterogeneous 64b quad-core CPUs and hexa-core GPU for high-performance and energy-efficient mobile application processor. - Jungyul Pyo; Youngmin Shin; Hoi-Jin Lee; Sung-il Bae; Min-Su Kim; Kwangil Kim; Ken Shin; Yohan Kwon; Heungchul Oh; Jaeyoung Lim; Dong-Wook Lee; Jongho Lee; et al. (ISSCC, 2015)

Efficient deep learning of image denoising using patch complexity local divide and deep conquer. - Inpyo Hong; Youngbae Hwang; Daeyoung Kim 001 (Pattern Recognit., 2019)

MRNet: Multifaceted Resilient Networks for Medical Image-to-Image Translation. - Hyojeong Lee; Youngwan Jo; Inpyo Hong; Sanghyun Park 003 (CoRR, 2024)

Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing. - Inpyo Hong; Youngwan Jo; Hyojeong Lee; Sunghyun Ahn; Sanghyun Park 003 (SAC, 2025)

AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM. - Sunghyun Ahn; Youngwan Jo; Kijung Lee; Sein Kwon; Inpyo Hong; Sanghyun Park 003 (CoRR, 2025)

GranQ: Granular Zero-Shot Quantization with Unified Layer-Channel Awareness. - Inpyo Hong; Youngwan Jo; Hyojeong Lee; Sunghyun Ahn; Sanghyun Park 003 (CoRR, 2025)

Knowledge distillation vulnerability of DeiT through CNN adversarial attack. - Inpyo Hong; Chang Choi (Neural Comput. Appl., 2025)

Correction: Knowledge distillation vulnerability of DeiT through CNN adversarial attack. - Inpyo Hong; Chang Choi (Neural Comput. Appl., 2025)