Changhun Lee

30 papers A* 8A 1Misc 3Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
K-EXAONE Technical Report.
CoRR
LG AI Research, Yejin Choi, Jiwon Ham, Kijeong Jeon, Gerrard Jeongwon Jo, Yonghwan Jo, Jiyeon Jung, Naeun Kang, Dohoon Kim, Euisoon Kim, Hayeon Kim, Hyosang Kim, Hyunseo Kim, Jieun Kim, Minu Kim, Myoungshin Kim, Unsol Kim, Youchul Kim, Youngjin Kim, Chaeeun Lee, Chaeyoon Lee, Changhun Lee, Dahm Lee, Edward Hwayoung Lee, Honglak Lee, Jinsang Lee
2025 A* conf
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models.
EMNLP
Sangjun Lee, Seung-taek Woo, Jungyu Jin, Changhun Lee, Eunhyeok Park
2025 J jnl
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models.
CoRR
Sangjun Lee, Seung-taek Woo, Jungyu Jin, Changhun Lee, Eunhyeok Park
2025 J jnl
Cost-Effective Extension of DRAM-PIM for Group-Wise LLM Quantization.
IEEE Comput. Archit. Lett.
Byeori Kim, Changhun Lee, Gwangsun Kim, Eunhyeok Park
2025 A conf
PTQ4VM: Post-Training Quantization for Visual Mamba.
WACV
Younghyun Cho, Changhun Lee, Seonggon Kim, Eunhyeok Park
2025 A* conf
PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality.
EMNLP
Byeongho Yu, Changhun Lee, Jungyu Jin, Eunhyeok Park
2025 J jnl
PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality.
CoRR
Byeongho Yu, Changhun Lee, Jungyu Jin, Eunhyeok Park
2025 — conf
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval.
ACL (1)
Changhun Lee, Minsang Seok, Jungyu Jin, Younghyun Cho, Eunhyeok Park
2025 J jnl
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval.
CoRR
Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park
2024 A* conf
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models.
AAAI
Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
2024 J jnl
PTQ4VM: Post-Training Quantization for Visual Mamba.
CoRR
Younghyun Cho, Changhun Lee, Seonggon Kim, Eunhyeok Park
2024 — conf
QEFT: Quantization for Efficient Fine-Tuning of LLMs.
EMNLP (Findings)
Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park
2024 J jnl
QEFT: Quantization for Efficient Fine-Tuning of LLMs.
CoRR
Changhun Lee, Jungyu Jin, Younghyun Cho, Eunhyeok Park
2024 J jnl
Repurformer: Transformers for Repurposing-Aware Molecule Generation.
CoRR
Changhun Lee, Gyumin Lee
2024 — conf
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout.
EMNLP (Findings)
Changhun Lee, Chiehyeon Lim
2023 J jnl
A Bi-objective Perspective on Controllable Language Models: Reward Dropout Improves Off-policy Control Performance.
CoRR
Changhun Lee, Chiehyeon Lim
2023 A* conf
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold.
ICCV
Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim
2023 J jnl
OWQ: Lessons learned from activation outliers for weight quantization in large language models.
CoRR
Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park
2022 J jnl
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold.
CoRR
Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim
2022 A* conf
Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor Shopping.
KDD
Jongkyung Shin, Changhun Lee, Chiehyeon Lim, Yunmo Shin, Junseok Lim
2021 A* conf
Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement.
KDD
Changhun Lee, Soohyeok Kim, Chiehyeon Lim, Jayun Kim, Yeji Kim, Minyoung Jung
2021 A* conf
Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution.
CVPR
Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim
2021 — conf
MIND dataset for diet planning and dietary healthcare with machine learning: Dataset creation using combinatorial optimization and controllable generation with domain experts.
NeurIPS Datasets and Benchmarks
Changhun Lee, Soohyeok Kim, Sehwa Jeong, Chiehyeon Lim, Jayun Kim, Yeji Kim, Minyoung Jung
2020 J jnl
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution.
CoRR
Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim
2018 — conf
Underactuated Tendon-driven Finger Design with Bio-inspired Ligamentous Joint mechanism.
CBS
Hyeryon Son, Geon Lee, Changhun Lee, Youngjin Choi
2016 Misc conf
PADA: power-aware development assistant for mobile sensing applications.
UbiComp
Chulhong Min, Seungchul Lee, Changhun Lee, Youngki Lee, Seungwoo Kang, Seungpyo Choi, Wonjung Kim, Junehwa Song
2015 Misc conf
Demo: User Support for Power Management of Continuous Sensing Applications.
SenSys
Chulhong Min, Chungkuk Yoo, Sangwon Choi, Pillsoon Park, Seungchul Lee, Changhun Lee, Seungpyo Choi, Seungwoo Kang, Youngki Lee, Inseok Hwang, Younghyun Ju, Junehwa Song
2015 Misc conf
Sandra helps you learn: the more you walk, the more battery your phone drains.
UbiComp
Chulhong Min, Chungkuk Yoo, Inseok Hwang, Seungwoo Kang, Youngki Lee, Seungchul Lee, Pillsoon Park, Changhun Lee, Seungpyo Choi, Junehwa Song
2014 A* conf
Hooked on smartphones: an exploratory study on smartphone overuse among college students.
CHI
Uichin Lee, Joonwon Lee, Minsam Ko, Changhun Lee, Yuhwan Kim, Subin Yang, Koji Yatani, Gahgene Gweon, Kyong-Mee Chung, Junehwa Song
2012 — conf
Design and Implementation of Packet Analyzer for IEC 61850 Communication Networks in Smart Grid.
FGIT-FGCN/DCA
Changhun Lee, Myungoh Park, Jiyoung Lee, Inwhee Joe