| 2026 | DATE | Efficient Down-sampling in Hybrid Neural Networks using Adversarial Autoencoders. | Jonghyeon Nam, JoonSeok Kim, Eunji Kwon, Seokhyeong Kang |
| 2024 | DAC | RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers. | Eunji Kwon, Minxuan Zhou, Weihong Xu, Tajana Rosing, Seokhyeong Kang |
| 2024 | DATE | ViT- ToGo: Vision Transformer Accelerator with Grouped Token Pruning. | Seungju Lee, Kyumin Cho, Eunji Kwon, Sejin Park, Seojeong Kim, Seokhyeong Kang |
| 2023 | DATE | Mobile Accelerator Exploiting Sparsity of Multi-Heads, Lines, and Blocks in Transformers in Computer Vision. | Eunji Kwon, Haena Song, Jihye Park, Seokhyeong Kang |
| 2023 | DATE | FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks. | Haena Song, Jongho Yoon, Dohun Kim, Eunji Kwon, Tae-Hyun Oh, Seokhyeong Kang |
| 2022 | ACCV | Adaptive FSP: Adaptive Architecture Search with Filter Shape Pruning. | Aeri Kim, Seungju Lee, Eunji Kwon, Seokhyeong Kang |
| 2021 | DATE | Approach to Improve the Performance Using Bit-level Sparsity in Neural Networks. | Yesung Kang, Eunji Kwon, Seunggyu Lee, Younghoon Byun, Youngjoo Lee, Seokhyeong Kang |
| 2021 | DATE | MDARTS: Multi-objective Differentiable Neural Architecture Search. | Sunghoon Kim, Hyun-jeong Kwon, Eunji Kwon, Youngchang Choi, Tae-Hyun Oh, Seokhyeong Kang |
| 2020 | DAC | Late Breaking Results: Reinforcement Learning-based Power Management Policy for Mobile Device Systems. | Eunji Kwon, Sodam Han, Yoonho Park, Young Hwan Kim, Seokhyeong Kang |
| 2020 | DATE | Analysis and Solution of CNN Accuracy Reduction over Channel Loop Tiling. | Yesung Kang, Yoonho Park, Sunghoon Kim, Eunji Kwon, Taeho Lim, Sangyun Oh, Mingyu Woo, Seokhyeong Kang |
| 2020 | ISLPED | GRLC: grid-based run-length compression for energy-efficient CNN accelerator. | Yoonho Park, Yesung Kang, Sunghoon Kim, Eunji Kwon, Seokhyeong Kang |