Jung Hyun Lee

20 papers A* 5A 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices.
NAACL (Long Papers)
Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2025 A* conf
Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models.
ICLR
Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo
2025 J jnl
Unifying Block-wise PTQ and Distillation-based QAT for Progressive Quantization toward 2-bit Instruction-Tuned LLMs.
CoRR
Jung Hyun Lee, Seungjae Shin, Vinnam Kim, Jaeseong You, An Chen
2024 J jnl
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices.
CoRR
Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee
2024 A* conf
Label-Noise Robust Diffusion Models.
ICLR
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2024 J jnl
Label-Noise Robust Diffusion Models.
CoRR
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2024 J jnl
Token-Supervised Value Models for Enhancing Mathematical Reasoning Capabilities of Large Language Models.
CoRR
Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kang Min Yoo
2023 A* conf
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization.
ICML
Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee
2023 J jnl
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization.
CoRR
Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee
2023 A* conf
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization.
NeurIPS
Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
2023 J jnl
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization.
CoRR
Jeonghoon Kim, Jung Hyun Lee, Sungdong Kim, Joonsuk Park, Kang Min Yoo, Se Jung Kwon, Dongsoo Lee
2021 J jnl
A Novel AVM Calibration Method Using Unaligned Square Calibration Boards.
Sensors
Jung Hyun Lee, Dong-Wook Lee
2021 A* conf
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss.
ICCV
Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
2021 J jnl
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss.
CoRR
Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
2021 J jnl
Compressed Sensing via Measurement-Conditional Generative Models.
IEEE Access
Kyungsu Kim, Jung Hyun Lee, Eunho Yang
2020 J jnl
A Hough-Space-Based Automatic Online Calibration Method for a Side-Rear-View Monitoring System.
Sensors
Jung Hyun Lee, Dong-Wook Lee
2020 J jnl
Compressed Sensing via Measurement-Conditional Generative Models.
CoRR
Kyungsu Kim, Jung Hyun Lee, Eunho Yang
2013 — conf
Robotic system for eye contact training of children with autism.
ISR
Jung Hyun Lee, Hae Yong Kang, Dong Hwan Kim, Jongsuk Choi, Sung-Kee Park
2008 — conf
Wireless skin temperature sensing patch.
MFI
Zia Mohy-Ud-Din, Sang Hyo Woo, Jung Hyun Lee, Sang Heon Lee, Park Soo Young, Chul-Ho Won, Jin-Ho Cho
1999 A conf
Development of beam rotating actuator based on voice coil motor type for multi-beam optical disc system.
IROS
Cheong Hee Lee, Jung Hyun Lee, Soo-Hyun Kim, Yoon Keun Kwak