OS-less dynamic binary instrumentation for embedded firmware. - JinSeok Oh; Sungyu Kim; Eunji Jeong; Soo-Mook Moon (COOL Chips, 2015)

Improving the expressiveness of deep learning frameworks with recursion. - Eunji Jeong; Joo Seong Jeong; Soojeong Kim; Gyeong-In Yu; Byung-Gon Chun (EuroSys, 2018)

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)

JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. - Eunji Jeong; Sungwoo Cho; Gyeong-In Yu; Joo Seong Jeong; Dongjin Shin; Byung-Gon Chun (NSDI, 2019)

Stage-based Hyper-parameter Optimization for Deep Learning. - Ahnjae Shin; Dongjin Shin; Sungwoo Cho; Do Yoon Kim; Eunji Jeong; Gyeong-In Yu; Byung-Gon Chun (CoRR, 2019)

Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. - Eunji Jeong; Sungwoo Cho; Gyeong-In Yu; Joo Seong Jeong; Dongjin Shin; Taebum Kim; Byung-Gon Chun (ACM SIGOPS Oper. Syst. Rev., 2019)

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. - Woosuk Kwon; Gyeong-In Yu; Eunji Jeong; Byung-Gon Chun (NeurIPS, 2020)

Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. - Taebum Kim; Eunji Jeong; Geon-Woo Kim; Yunmo Koo; Sehoon Kim 001; Gyeong-In Yu; Byung-Gon Chun (NeurIPS, 2021)