Jin Kyu Kim

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 9

Top Topics

Machine Learning

Logistic Regression

Top Venues

USENIX Annual Technical Conference

Publications

Chen Cao, Tomas Simon, Jin Kyu Kim, Gabe Schwartz, Michael Zollhöfer, Shunsuke Saito, Stephen Lombardi, Shih-En Wei, Danielle Belko, Shoou-I Yu, Yaser Sheikh, Jason M. Saragih
Authentic volumetric avatars from a phone scan. ACM Trans. Graph. 41 (4) (2022)
Jin Kyu Kim, Abutalib Aghayev, Garth A. Gibson, Eric P. Xing
STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming Model. USENIX Annual Technical Conference (2019)
Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing
Cavs: An Efficient Runtime System for Dynamic Neural Networks. USENIX Annual Technical Conference (2018)
Pengtao Xie, Jin Kyu Kim, Qirong Ho, Yaoliang Yu, Eric P. Xing
Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design. SoCC (2018)
Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth A. Gibson, Eric P. Xing
STRADS: a distributed framework for scheduled model parallel machine learning. EuroSys (2016)
Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. UAI (2016)
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data 1 (2) (2015)
Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
Distributed Machine Learning via Sufficient Factor Broadcasting. CoRR (2015)
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD (2015)
Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX Annual Technical Conference (2014)
Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
Primitives for Dynamic Big Model Parallelism. CoRR (2014)
Xun Zheng, Jin Kyu Kim, Qirong Ho, Eric P. Xing
Model-Parallel Inference for Big Topic Models. CoRR (2014)
Pengtao Xie, Jin Kyu Kim, Eric P. Xing
Large Scale Distributed Multiclass Logistic Regression. CoRR (2014)
Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning. NIPS (2014)
Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing
Petuum: A Framework for Iterative-Convergent Distributed ML. CoRR (2013)
Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Garth A. Gibson, Gregory R. Ganger, Eric P. Xing
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server. NIPS (2013)
James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Gregory R. Ganger, Garth Gibson, Kimberly Keeton, Eric P. Xing
Solving the Straggler Problem with Bounded Staleness. HotOS (2013)
Seunghak Lee, Jin Kyu Kim, Qirong Ho, Garth A. Gibson, Eric P. Xing
Structure-Aware Dynamic Scheduler for Parallel Machine Learning. CoRR (2013)
Min Kook Song, Jin Bae Park, Young Hoon Joo, Jin Kyu Kim
State feedback fuzzy-model-based control for discrete-time markovian jump nonlinear systems with time-varying delays. FUZZ-IEEE (2009)
Jin Kyu Kim, Hyung Gyu Lee, Shinho Choi, Kyoung Il Bahng
A PRAM and NAND flash hybrid architecture for high-performance embedded storage subsystems. EMSOFT (2008)