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ORCIDJin Kyu Kim
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2020 – today
- 2022
[j2]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): 163:1-163:19 (2022)
2010 – 2019
- 2019
- [c12]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 ATC 2019: 207-222 - 2018
- [c11]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: 1-13 - [c10]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 ATC 2018: 937-950 - 2016
- [c9]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: 5:1-5:16 - [c8]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 - 2015
- [j1]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): 49-67 (2015) - [c7]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: 1335-1344 - [i6]Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing:
Distributed Machine Learning via Sufficient Factor Broadcasting. CoRR abs/1511.08486 (2015) - 2014
- [c6]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: 2834-2842 - [c5]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 ATC 2014: 37-48 - [i5]Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing:
Primitives for Dynamic Big Model Parallelism. CoRR abs/1406.4580 (2014) - [i4]Pengtao Xie, Jin Kyu Kim, Eric P. Xing:
Large Scale Distributed Multiclass Logistic Regression. CoRR abs/1409.5705 (2014) - [i3]Xun Zheng, Jin Kyu Kim, Qirong Ho, Eric P. Xing:
Model-Parallel Inference for Big Topic Models. CoRR abs/1411.2305 (2014) - 2013
- [c4]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 - [c3]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: 1223-1231 - [i2]Seunghak Lee, Jin Kyu Kim, Qirong Ho, Garth A. Gibson, Eric P. Xing:
Structure-Aware Dynamic Scheduler for Parallel Machine Learning. CoRR abs/1312.5766 (2013) - [i1]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 abs/1312.7651 (2013)
2000 – 2009
- 2009
- [c2]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: 2105-2108 - 2008
- [c1]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: 31-40
Coauthor Index
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