DANCE: Differentiable Accelerator/Network Co-Exploration. - Kanghyun Choi; Deokki Hong; Hojae Yoon; Joonsang Yu; Youngsok Kim; Jinho Lee (DAC, 2021)

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. - Kanghyun Choi; Deokki Hong; Noseong Park; Youngsok Kim; Jinho Lee (NeurIPS, 2021)

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 (CVPR, 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 (DAC, 2022)

Tech Report: One-stage Lightweight Object Detectors. - Deokki Hong (CoRR, 2022)

Online Boundary-Free Continual Learning by Scheduled Data Prior. - Hyunseo Koh; Minhyuk Seo; Jihwan Bang; Hwanjun Song; Deokki Hong; Seulki Park; Jung-Woo Ha 001; Jonghyun Choi (ICLR, 2023)

Enhancing Generalization in Data-free Quantization via Mixup-class Prompting. - Jiwoong Park; Chaeun Lee; Yongseok Choi; Sein Park; Deokki Hong; Jungwook Choi (CoRR, 2025)