Joo Seong Jeong

15 papers A* 1A 5Misc 1Journal 8

Year	Rank	Type	Title / Venue / Authors
2022	A	`conf`	Band: coordinated multi-DNN inference on heterogeneous mobile processors. MobiSys Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun
2022	J	`jnl`	Hippo: Sharing Computations in Hyper-Parameter Optimization. Proc. VLDB Endow. Ahnjae Shin, Joo Seong Jeong, Do Yoon Kim, Soyoung Jung, Byung-Gon Chun
2022	A*	`conf`	Orca: A Distributed Serving System for Transformer-Based Generative Models. OSDI Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun
2020	J	`jnl`	Accelerating Multi-Model Inference by Merging DNNs of Different Weights. CoRR Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Yunseong Lee, Byung-Gon Chun
2020	J	`jnl`	Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees. CoRR Ahnjae Shin, Do Yoon Kim, Joo Seong Jeong, Byung-Gon Chun
2019	A	`conf`	Automating System Configuration of Distributed Machine Learning. ICDCS 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
2019	Misc	`conf`	JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. NSDI Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun
2019	A	`conf`	Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks. EuroSys Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun
2019	J	`jnl`	Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. ACM SIGOPS Oper. Syst. Rev. Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Taebum Kim, Byung-Gon Chun
2018	J	`jnl`	Improving the Expressiveness of Deep Learning Frameworks with Recursion. CoRR Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun
2018	A	`conf`	Improving the expressiveness of deep learning frameworks with recursion. EuroSys Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun
2018	J	`jnl`	JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. CoRR Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun
2018	J	`jnl`	Parallax: Automatic Data-Parallel Training of Deep Neural Networks. CoRR Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun
2017	J	`jnl`	Apache REEF: Retainable Evaluator Execution Framework. ACM Trans. Comput. Syst. 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
2015	A	`conf`	Elastic Memory: Bring Elasticity Back to In-Memory Big Data Analytics. HotOS Joo Seong Jeong, Woo-Yeon Lee, Yunseong Lee, Youngseok Yang, Brian Cho, Byung-Gon Chun