Hyeyoon Lee

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

Youngsok Kim, Joonsang Yu, Deokki Hong, 2022, Design Automation Conference.

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

Jinho Lee, Namhyung Kim, Youngsok Kim, 2022, PACT.

Fast Adversarial Training with Dynamic Batch-level Attack Control

Kanghyun Choi, Hyeyoon Lee, Jaeyong Song, 2023, 2023 60th ACM/IEEE Design Automation Conference (DAC).

Deep Composer Classification Using Symbolic Representation pdf

Jinho Lee, Keunwoo Choi, Sunghyeon Kim, 2020, ArXiv.

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity

Kanghyun Choi, Hyeyoon Lee, Noseong Park, 2024, 2407.20021.

DataFreeShield: Defending Adversarial Attacks without Training Data

Mayoore S. Jaiswal, Kanghyun Choi, Hyeyoon Lee, 2024, 2406.15635.