Joo Seong Jeong

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 15

Top Topics

Parameter Optimization

Weakly Supervised

Generative And Discriminative Models

Top Venues

Proc. VLDB Endow.

Publications

Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun
Band: coordinated multi-DNN inference on heterogeneous mobile processors. MobiSys (2022)
Ahnjae Shin, Joo Seong Jeong, Do Yoon Kim, Soyoung Jung, Byung-Gon Chun
Hippo: Sharing Computations in Hyper-Parameter Optimization. Proc. VLDB Endow. 15 (5) (2022)
Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun
Orca: A Distributed Serving System for Transformer-Based Generative Models. OSDI (2022)
Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Yunseong Lee, Byung-Gon Chun
Accelerating Multi-Model Inference by Merging DNNs of Different Weights. CoRR (2020)
Ahnjae Shin, Do Yoon Kim, Joo Seong Jeong, Byung-Gon Chun
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees. CoRR (2020)
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
Automating System Configuration of Distributed Machine Learning. ICDCS (2019)
Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks. EuroSys (2019)
Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun
JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. NSDI (2019)
Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Taebum Kim, Byung-Gon Chun
Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. ACM SIGOPS Oper. Syst. Rev. 53 (1) (2019)
Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun
Parallax: Automatic Data-Parallel Training of Deep Neural Networks. CoRR (2018)
Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun
Improving the expressiveness of deep learning frameworks with recursion. EuroSys (2018)
Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun
JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. CoRR (2018)
Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun
Improving the Expressiveness of Deep Learning Frameworks with Recursion. CoRR (2018)
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, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Mariia Mykhailova, Shravan M. Narayanamurthy, Joseph Noor, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Taegeon Um, Julia Wang, Markus Weimer, Youngseok Yang
Apache REEF: Retainable Evaluator Execution Framework. ACM Trans. Comput. Syst. 35 (2) (2017)
Joo Seong Jeong, Woo-Yeon Lee, Yunseong Lee, Youngseok Yang, Brian Cho, Byung-Gon Chun
Elastic Memory: Bring Elasticity Back to In-Memory Big Data Analytics. HotOS (2015)