Hyeyoon Lee

14 papers A* 5B 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
DANCE++: Differentiable Accelerator/Network Co-Exploration With Hard Constraints and Data-Free Training for Real-World Scenarios.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Kanghyun Choi, Deokki Hong, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2025 J jnl
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic.
CoRR
Kanghyun Choi, Hyeyoon Lee, Sunjong Park, Dain Kwon, Jinho Lee
2025 A* conf
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity.
AAAI
Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jonghyun Choi, Jinho Lee
2024 A* conf
DataFreeShield: Defending Adversarial Attacks without Training Data.
ICML
Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
2024 J jnl
DataFreeShield: Defending Adversarial Attacks without Training Data.
CoRR
Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
2024 J jnl
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity.
CoRR
Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jinho Lee
2023 J jnl
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration.
CoRR
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2023 A* conf
Fast Adversarial Training with Dynamic Batch-level Attack Control.
DAC
Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee
2023 J jnl
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.
CoRR
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2022 A* conf
Enabling hard constraints in differentiable neural network and accelerator co-exploration.
DAC
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 A* conf
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
CVPR
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 J jnl
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
CoRR
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 B conf
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.
PACT
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2020 J jnl
Deep Composer Classification Using Symbolic Representation.
CoRR
Sunghyeon Kim, Hyeyoon Lee, Sunjong Park, Jinho Lee, Keunwoo Choi