publications

2025

1. ArXiv

   SEAL: Scaling to Emphasize Attention for Long-Context Retrieval

   Changhun Lee, Jun-gyu Jin, Younghyun Cho, and 1 more author

   2025
2. CAL

   Cost-effective Extension of DRAM-PIM for Group-wise LLM Quantization

   Byeori Kim, Changhun Lee, Gwangsun Kim, and 1 more author

   IEEE Computer Architecture Letters, 2025
3. WACV Oral

   PTQ4VM: Post-Training Quantization for Visual Mamba

   Younghyun Cho^*, Changhun Lee^*, Seonggon Kim, and 1 more author

   In Proceedings of the Winter Conference on Applications of Computer Vision (WACV), Feb 2025

2024

1. EMNLP Findings

   QEFT: Quantization for Efficient Fine-Tuning of LLMs

   Changhun Lee^*, Jun-gyu Jin^*, YoungHyun Cho, and 1 more author

   In Findings of the Association for Computational Linguistics: EMNLP 2024, Feb 2024
2. AAAI Oral

   Owq: Outlier-aware weight quantization for efficient fine-tuning and inference of large language models

   Changhun Lee^*, Jungyu Jin^*, Taesu Kim, and 2 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence, Feb 2024

2023

1. ICCV

   INSTA-BNN: Binary neural network with instance-aware threshold

   Changhun Lee, Hyungjun Kim, Eunhyeok Park, and 1 more author

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, Feb 2023

2021

1. CVPR

   Improving accuracy of binary neural networks using unbalanced activation distribution

   Hyungjun Kim, Jihoon Park, Changhun Lee, and 1 more author

   In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, Feb 2021