Seunghak Lee
Seunghak Lee
Research Scientist at Facebook
Verified email at
Cited by
Cited by
More effective distributed ml via a stale synchronous parallel parameter server
Q Ho, J Cipar, H Cui, S Lee, JK Kim, PB Gibbons, GA Gibson, G Ganger, ...
Advances in neural information processing systems 26, 2013
Petuum: A new platform for distributed machine learning on big data
EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ...
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Exploiting bounded staleness to speed up big data analytics
H Cui, J Cipar, Q Ho, JK Kim, S Lee, A Kumar, J Wei, W Dai, GR Ganger, ...
2014 USENIX Annual Technical Conference (USENIX ATC 14), 37-48, 2014
Identification of individuals by trait prediction using whole-genome sequencing data
C Lippert, R Sabatini, MC Maher, EY Kang, S Lee, O Arikan, A Harley, ...
Proceedings of the National Academy of Sciences 114 (38), 10166-10171, 2017
Solving the straggler problem with bounded staleness
J Cipar, Q Ho, JK Kim, S Lee, GR Ganger, G Gibson, K Keeton, E Xing
14th Workshop on Hot Topics in Operating Systems (HotOS XIV), 2013
MoDIL: detecting small indels from clone-end sequencing with mixtures of distributions
S Lee, F Hormozdiari, C Alkan, M Brudno
Nature methods 6 (7), 473-474, 2009
On model parallelization and scheduling strategies for distributed machine learning
S Lee, JK Kim, X Zheng, Q Ho, GA Gibson, EP Xing
Advances in neural information processing systems 27, 2014
Adaptive multi-task lasso: with application to eQTL detection
S Lee, J Zhu, E Xing
Advances in neural information processing systems 23, 2010
Strads: A distributed framework for scheduled model parallel machine learning
JK Kim, Q Ho, S Lee, X Zheng, W Dai, GA Gibson, EP Xing
Proceedings of the Eleventh European Conference on Computer Systems, 1-16, 2016
SDD: high performance code clone detection system for large scale source code
S Lee, I Jeong
Companion to the 20th annual ACM SIGPLAN conference on Object-oriented …, 2005
A robust framework for detecting structural variations in a genome
S Lee, E Cheran, M Brudno
Bioinformatics 24 (13), i59-i67, 2008
Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs
S Lee, EP Xing
Bioinformatics 28 (12), i137-i146, 2012
Petuum: A framework for iterative-convergent distributed ml
W Dai, J Wei, X Zheng, JK Kim, S Lee, J Yin, Q Ho, EP Xing
arXiv preprint arXiv:1312.7651 1 (2.1), 2013
Dynamically Weighted Hidden Markov Model for Spam Deobfuscation.
S Lee, I Jeong, S Choi
IJCAI 7, 2523-2529, 2007
MoGUL: detecting common insertions and deletions in a population
S Lee, E Xing, M Brudno
Annual International Conference on Research in Computational Molecular …, 2010
Ensembles of Lasso screening rules
S Lee, N Görnitz, EP Xing, D Heckerman, C Lippert
IEEE transactions on pattern analysis and machine intelligence 40 (12), 2841 …, 2017
Screening rules for overlapping group lasso
S Lee, EP Xing
arXiv preprint arXiv:1410.6880, 2014
A network-driven approach for genome-wide association mapping
S Lee, S Kong, EP Xing
Bioinformatics 32 (12), i164-i173, 2016
Primitives for dynamic big model parallelism
S Lee, JK Kim, X Zheng, Q Ho, GA Gibson, EP Xing
arXiv preprint arXiv:1406.4580, 2014
GWAS in a box: statistical and visual analytics of structured associations via GenAMap
EP Xing, RE Curtis, G Schoenherr, S Lee, J Yin, K Puniyani, W Wu, ...
PLoS One 9 (6), e97524, 2014
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