AISys Lab. ECE, Seoul National University
member portrait Hyeyoon Lee PhD Student
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I am a Ph.D. student in the Department of Electrical and Computer Engineering at Seoul National University. I am interested in building safe and efficient AI, where the applications include building adversarially robust AI, and accelerating heavy generative AI.

Publication

Refined classification of YSOs and AGB stars by IR magnitudes, colors, and time-domain analysis with machine learning
Refined classification of YSOs and AGB stars by IR magnitudes, colors, and time-domain analysis with machine learning
Hyunwook Jheonn, Jeong-Eun Lee, Jinho Lee, Seonjae Lee, Hyeyoon Lee, ShinGeon Kim, Carlos Contreras Peña, Mi-Ryang Kim
The Astrophysical Journal (ApJ)   ·   May 2026
ArXiv
SCI 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
GitHub
Top Conf. AI/ML
DANCE++: Differentiable Accelerator/Network Co-Exploration with Hard Constraints and Data-Free Training for Real-World Scenarios
DANCE++: Differentiable Accelerator/Network Co-Exploration with Hard Constraints and Data-Free Training for Real-World Scenarios
Kanghyun Choi, Deokki Hong, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)   ·   Jun 2025
Paper
SCI AI/ML Arch.
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
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
Mingi Yoo1, Jaeyong Song1, Hye Yoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
PACT (Best Paper Award)   ·   Oct 2022
ArXiv
Paper
Top Conf. Arch. AI/ML
Deep Composer Classification Using Symbolic Representation
Deep Composer Classification Using Symbolic Representation
Sunghyeon Kim1, Hyeyoon Lee1, Sunjong Park1, Jinho Lee, Keunwoo Choi
LBD@ISMIR   ·   Oct 2020
Paper
ArXiv
Poster
AI/ML
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration
Deokki Hong, Kanghyun Choi, Hye Yoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
Design Automation Conference (DAC)   ·   Jan 2023
ArXiv
Top Conf. AI/ML Arch.
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher
Kanghyun Choi, Hye Yoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
Computer Vision and Pattern Recognition Conference (CVPR)   ·   Apr 2022
ArXiv
Slide
GitHub
Top Conf. AI/ML
Fast Adversarial Training with Dynamic Batch-level Attack Control
Fast Adversarial Training with Dynamic Batch-level Attack Control
Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee
Design Automation Conference (DAC)   ·   Jul 2023
Top Conf. AI/ML

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