Breaking Ad-hoc Runtime Integrity Protection Mechanisms in Android Financial Apps. - Taehun Kim; Hyeonmin Ha; Seoyoon Choi; Jaeyeon Jung; Byung-Gon Chun (AsiaCCS, 2017)

Parallax: Automatic 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 (CoRR, 2018)

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 (EuroSys, 2019)

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 (USENIX ATC, 2021)

SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search. - Hyeonmin Ha; Ji-Hoon Kim 002; Semin Park; Byung-Gon Chun (ICLR, 2022)

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 (ACL (Findings), 2023)

Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service. - Hyeonmin Ha; Jihye Lee; Wookje Han; Byung-Gon Chun (EMNLP (Findings), 2023)