Interactive and Immersive Learning Using 360° Virtual Reality Contents on Mobile Platforms. - Kanghyun Choi; Yeo-Jin Yoon; Oh-Young Song; Soo-Mi Choi (Mob. Inf. Syst., 2018)

Nonlinear Mixed Model and Reliability Prediction for OLED Luminance Degradation. - Kanghyun Choi; Jongwon Lee; Jongwoo Park 001 (IRPS, 2019)

DANCE: Differentiable Accelerator/Network Co-Exploration. - Kanghyun Choi; Deokki Hong; Hojae Yoon; Joonsang Yu; Youngsok Kim; Jinho Lee (DAC, 2021)

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. - Kanghyun Choi; Deokki Hong; Noseong Park; Youngsok Kim; Jinho Lee (NeurIPS, 2021)

Performance Modeling and Practical Use Cases for Black-Box SSDs. - Joonsung Kim; Kanghyun Choi; Wonsik Lee; Jangwoo Kim (ACM Trans. Storage, 2021)

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. - Kanghyun Choi; Hyeyoon Lee; Deokki Hong; Joonsang Yu; Noseong Park; Youngsok Kim; Jinho Lee (CVPR, 2022)

Enabling hard constraints in differentiable neural network and accelerator co-exploration. - Deokki Hong; Kanghyun Choi; Hyeyoon Lee; Joonsang Yu; Noseong Park; Youngsok Kim; Jinho Lee (DAC, 2022)

Fast Adversarial Training with Dynamic Batch-level Attack Control. - Jaewon Jung 001; Jaeyong Song; Hongsun Jang; Hyeyoon Lee; Kanghyun Choi; Noseong Park; Jinho Lee (DAC, 2023)

DataFreeShield: Defending Adversarial Attacks without Training Data. - Hyeyoon Lee; Kanghyun Choi; Dain Kwon; Sunjong Park; Mayoore Selvarasa Jaiswal; Noseong Park; Jonghyun Choi; Jinho Lee (ICML, 2024)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. - Kanghyun Choi; Hyeyoon Lee; Dain Kwon; Sunjong Park; Kyuyeun Kim; Noseong Park; Jinho Lee (CoRR, 2024)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. - Kanghyun Choi; Hyeyoon Lee; Dain Kwon; Sunjong Park; Kyuyeun Kim; Noseong Park; Jonghyun Choi; Jinho Lee (AAAI, 2025)