| 2025 | AAAI | RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy. | Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn, Du-Seong Chang, Jungwook Choi |
| 2025 | ACL | AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference. | Janghwan Lee, Jiwoong Park, Jinseok Kim, Yongjik Kim, Jungju Oh, Jinwook Oh, Jungwook Choi |
| 2024 | ACL | Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. | Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi |
| 2024 | HPCA | SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. | Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi |
| 2024 | ICTAI | Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection. | Qisen Cheng, Shuhui Qu, Janghwan Lee |
| 2023 | DAC | Range-Invariant Approximation of Non-Linear Operations for Efficient BERT Fine-Tuning. | Janghyeon Kim, Janghwan Lee, Jungwook Choi, JeongHo Han, Sangheon Lee |
| 2023 | EMNLP | Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization. | Janghwan Lee, Minsoo Kim, Seungcheol Baek, Seok Joong Hwang, Wonyong Sung, Jungwook Choi |
| 2023 | ICASSP | Finding Optimal Numerical Format for Sub-8-Bit Post-Training Quantization of Vision Transformers. | Janghwan Lee, Youngdeok Hwang, Jungwook Choi |
| 2008 | MASS | Achieving throughput fairness in Wireless Mesh Networks based on IEEE 802.11. | Janghwan Lee, Ikjun Yeom |