Hyeyoon Lee

According to our database, Hyeyoon Lee authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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 Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2026

2025

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic.

Kanghyun Choi, Hyeyoon Lee, SunJong Park, Dain Kwon, Jinho Lee

CoRR, October, 2025

FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic.

Kanghyun Choi, Hyeyoon Lee, Sunjong Park, Dain Kwon, Jinho Lee

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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, Jinho Lee

CoRR, 2024

DataFreeShield: Defending Adversarial Attacks without Training Data.

Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Fast Adversarial Training with Dynamic Batch-level Attack Control.

Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Enabling hard constraints in differentiable neural network and accelerator co-exploration.

Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.

Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.

Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2020

Deep Composer Classification Using Symbolic Representation.

Sunghyeon Kim, Hyeyoon Lee, Sunjong Park, Jinho Lee, Keunwoo Choi

CoRR, 2020