Development of beam rotating actuator based on voice coil motor type for multi-beam optical disc system. - Cheong Hee Lee; Jung Hyun Lee; Soo-Hyun Kim; Yoon Keun Kwak (IROS, 1999)

Wireless skin temperature sensing patch. - Zia Mohy-Ud-Din; Sang Hyo Woo; Jung Hyun Lee; Sang Heon Lee; Park Soo Young; Chul-Ho Won; Jin-Ho Cho (MFI, 2008)

Robotic system for eye contact training of children with autism. - Jung Hyun Lee; Hae Yong Kang; Dong Hwan Kim; JongSuk Choi; Sung-Kee Park (ISR, 2013)

A Hough-Space-Based Automatic Online Calibration Method for a Side-Rear-View Monitoring System. - Jung Hyun Lee; Dong-Wook Lee (Sensors, 2020)

Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. - Jung Hyun Lee; Jihun Yun; Sung Ju Hwang; Eunho Yang (ICCV, 2021)

Compressed Sensing via Measurement-Conditional Generative Models. - Kyungsu Kim 002; Jung Hyun Lee; Eunho Yang (IEEE Access, 2021)

A Novel AVM Calibration Method Using Unaligned Square Calibration Boards. - Jung Hyun Lee; Dong-Wook Lee (Sensors, 2021)

FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. - Jung Hyun Lee; Jeonghoon Kim; Se Jung Kwon; Dongsoo Lee (ICML, 2023)

Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization. - Jeonghoon Kim; Jung Hyun Lee; Sungdong Kim; Joonsuk Park; Kang Min Yoo; Se Jung Kwon; Dongsoo Lee (NeurIPS, 2023)

Label-Noise Robust Diffusion Models. - Byeonghu Na; Yeongmin Kim; HeeSun Bae; Jung Hyun Lee; Se Jung Kwon; Wanmo Kang; Il-Chul Moon (ICLR, 2024)

Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kang Min Yoo (CoRR, 2024)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models. - Jung Hyun Lee; June Yong Yang; Byeongho Heo; Dongyoon Han; Kyungsu Kim; Eunho Yang; Kang Min Yoo (ICLR, 2025)

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. - Jung Hyun Lee; Jeonghoon Kim; June Yong Yang; Se Jung Kwon; Eunho Yang; Kang Min Yoo; Dongsoo Lee (NAACL (Long Papers), 2025)

Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs. - Jung Hyun Lee; Seungjae Shin; Vinnam Kim; Jaeseong You; An Chen (CoRR, 2025)