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ORCIDJanghwan Lee
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2020 – today
- 2024
[c11]Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi:
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. ACL (1) 2024: 11346-11364- [c10]Dong-eon Won, Yeeun Kim, Janghwan Lee, Minjae Lee, Jonghyun Bae, Jongjoo Park, Jeongyong Song, Jungwook Choi:
ISP2DLA: Automated Deep Learning Accelerator Design for On-Sensor Image Signal Processing. ASAP 2024: 237-238 - [c9]Youngdeok Hwang, Janghwan Lee, Jiwoong Park, Jieun Lim, Jungwook Choi:
Searching Optimal Floating-Point Format for Sub-8-Bit Large Language Model Inference. ICEIC 2024: 1-4 - [c8]Minjae Lee, Seongmin Park, Hyungmin Kim, Minyong Yoon, Janghwan Lee, Jun Won Choi, Nam Sung Kim, Mingu Kang, Jungwook Choi:
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. HPCA 2024: 454-467 - [i5]Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi:
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment. CoRR abs/2407.03051 (2024) - 2023
- [c7]Janghyeon Kim, Janghwan Lee, Jungwook Choi, JeongHo Han, Sangheon Lee:
Range-Invariant Approximation of Non-Linear Operations for Efficient BERT Fine-Tuning. DAC 2023: 1-6 - [c6]Janghwan Lee, Minsoo Kim, Seungcheol Baek, Seok Joong Hwang, Wonyong Sung, Jungwook Choi:
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization. EMNLP 2023: 14726-14739 - [c5]Janghwan Lee, Youngdeok Hwang, Jungwook Choi:
Finding Optimal Numerical Format for Sub-8-Bit Post-Training Quantization of Vision Transformers. ICASSP 2023: 1-5 - [c4]Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi:
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models. NeurIPS 2023 - [i4]Minjae Lee, Hyungmin Kim, Seongmin Park, Minyong Yoon, Janghwan Lee, Junwon Choi, Mingu Kang, Jungwook Choi:
PillarAcc: Sparse PointPillars Accelerator for Real-Time Point Cloud 3D Object Detection on Edge Devices. CoRR abs/2305.07522 (2023) - [i3]Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi:
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models. CoRR abs/2308.06744 (2023) - [i2]Qisen Cheng, Shuhui Qu, Janghwan Lee:
SHAPNN: Shapley Value Regularized Tabular Neural Network. CoRR abs/2309.08799 (2023) - [i1]Janghwan Lee, Minsoo Kim, Seungcheol Baek
, Seok Joong Hwang, Wonyong Sung, Jungwook Choi:
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization. CoRR abs/2311.05161 (2023) - 2022
- [c3]Janghwan Lee, Jungwook Choi:
Optimizing Exponent Bias for Sub-8bit Floating-Point Inference of Fine-tuned Transformers. AICAS 2022: 98-101 - 2021
- [c2]Shuhui Qu, Yan Kang, Janghwan Lee:
Efficient Multi-Modal Fusion with Diversity Analysis. ACM Multimedia 2021: 2663-2670
2010 – 2019
- 2010
- [j2]Janghwan Lee, Hyunsoo Yoon, Ikjun Yeom:
Distributed Fair Scheduling for Wireless Mesh Networks Using IEEE 802.11. IEEE Trans. Veh. Technol. 59(9): 4467-4475 (2010)
2000 – 2009
- 2008
- [c1]Janghwan Lee, Ikjun Yeom:
Achieving throughput fairness in Wireless Mesh Networks based on IEEE 802.11. MASS 2008: 507-508 - 2006
- [j1]Janghwan Lee:
A video browser based on closed cap. IEEE Trans. Consumer Electron. 52(3): 1124-1128 (2006)
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