Elastic Memory: Bring Elasticity Back to In-Memory Big Data Analytics. - Joo Seong Jeong; Woo-Yeon Lee; Yunseong Lee; Youngseok Yang; Brian Cho; Byung-Gon Chun (HotOS, 2015)

Apache REEF: Retainable Evaluator Execution Framework. - Byung-Gon Chun; Tyson Condie; Yingda Chen; Brian Cho; Andrew Chung; Carlo Curino; Chris Douglas; Matteo Interlandi; Beomyeol Jeon; Joo Seong Jeong; Gyewon Lee; Yunseong Lee; et al. (ACM Trans. Comput. Syst., 2017)

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)

Automating System Configuration of Distributed Machine Learning. - Woo-Yeon Lee; Markus Weimer; Brian Cho; Byung-Gon Chun; Yunseong Lee; Joo Seong Jeong; Gyeong-In Yu; Jooyeon Kim; Hojin Park; Beomyeol Jeon; Won Wook Song; Gunhee Kim (ICDCS, 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)

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)

Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees. - Ahnjae Shin; Do Yoon Kim; Joo Seong Jeong; Byung-Gon Chun (CoRR, 2020)

Accelerating Multi-Model Inference by Merging DNNs of Different Weights. - Joo Seong Jeong; Soojeong Kim; Gyeong-In Yu; Yunseong Lee; Byung-Gon Chun (CoRR, 2020)

Band: coordinated multi-DNN inference on heterogeneous mobile processors. - Joo Seong Jeong; Jingyu Lee; Donghyun Kim; Changmin Jeon; Changjin Jeong; Youngki Lee 001; Byung-Gon Chun (MobiSys, 2022)

Orca: A Distributed Serving System for Transformer-Based Generative Models. - Gyeong-In Yu; Joo Seong Jeong; Geon-Woo Kim; Soojeong Kim; Byung-Gon Chun (OSDI, 2022)

Hippo: Sharing Computations in Hyper-Parameter Optimization. - Ahnjae Shin; Joo Seong Jeong; Do Yoon Kim; Soyoung Jung; Byung-Gon Chun (Proc. VLDB Endow., 2022)