| 2023 | ACL | Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning. | Hyeonmin Ha, Soyoung Jung, Jinsol Park, Minjoon Seo, Seung-won Hwang, Byung-Gon Chun |
| 2023 | EMNLP | Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service. | Hyeonmin Ha, Jihye Lee, Wookje Han, Byung-Gon Chun |
| 2022 | ICLR | SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search. | Hyeonmin Ha, Ji-Hoon Kim, Semin Park, Byung-Gon Chun |
| 2021 | USENIX | Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training. | Gyewon Lee, Irene Lee, Hyeonmin Ha, Kyung-Geun Lee, Hwarim Hyun, Ahnjae Shin, Byung-Gon Chun |
| 2019 | EuroSys | Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks. | Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun |
| 2017 | CCS | Breaking Ad-hoc Runtime Integrity Protection Mechanisms in Android Financial Apps. | Taehun Kim, Hyeonmin Ha, Seoyoon Choi, Jaeyeon Jung, Byung-Gon Chun |