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. I am interested in efficient AI, quantization, and innovative ideas to deploy AI in resource-constrained environments while preserving task performance.

Publication

SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision
SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision
Dain Kwon, Changmin Shin, Sunjong Park, Kanghyun Choi, Hyeyoon Lee, Jaewon Jang, Minseok Choi, Jinho Lee
Design Automation Conference (DAC)   ·   Jul 2026
Top Conf. AI/ML
TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information
TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Information
Dain Kwon, Kanghyun Choi, Hyeyoon Lee, Sunjong Park, Seoyong Lee, Sukjin Kim, Jinho Lee
Design Automation Conference (DAC)   ·   Jul 2026
Top Conf. AI/ML
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
ArXiv
Poster
Slide
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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