AISys Lab. ECE, Seoul National University
member portrait Dain Kwon MS/PhD Student
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Search for Dain Kwon's papers on the Publications page

I am a graduate student in the Department of Electrical and Computer Engineering at Seoul National University. My current research interests lie in efficient AI, neural network quantization, and innovative methodologies for deploying AI in resource-constrained environments while preserving high task performance.

Publication

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
Kanghyun Choi, Hyeyoon Lee, SunJong Park, Dain Kwon, Jinho Lee
Neural Information Processing Systems (NeurIPS)   ·   Dec 2025
GitHub
Top Conf. AI/ML
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
Kanghyun Choi, Hyeyoon Lee, Dain Kwon, SunJong Park, Kyuyeun Kim, Noseong Park, Jonghyun Choi, Jinho Lee
AAAI Conference on Artificial Intelligence (AAAI)   ·   Feb 2025
ArXiv
GitHub
Slide
Poster
Top Conf. AI/ML
DataFreeShield: Defending Adversarial Attacks without Training Data
DataFreeShield: Defending Adversarial Attacks without Training Data
Hyeyoon Lee, Kanghyun Choi, Dain Kwon, SunJong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
International Conference on Machine Learning (ICML)   ·   May 2024
Top Conf. AI/ML

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