Seunghak Lee

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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Qirong HoPetuum, IncVerified email at petuum.com
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie MellonVerified email at vectorinstitute.ai
Wei DaiApple; Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jinliang WeiGoogle; Carnegie Mellon UniversityVerified email at alumni.cmu.edu
Henggang CuiMotionalVerified email at motional.com
Phillip GibbonsCarnegie Mellon UniversityVerified email at cs.cmu.edu
Abhimanu KumarDataScientist/Trader @IMC Financial Markets; past --- Carnegie Mellon University, UT-Austin, IITVerified email at cs.cmu.edu
Michael BrudnoProfessor of Computer Science, University of Toronto; Director, Chief Data Scientist, UHNVerified email at cs.toronto.edu
Pengtao XieAssistant Professor, UC San DiegoVerified email at eng.ucsd.edu
Yaoliang YuUniversity of WaterlooVerified email at uwaterloo.ca
Can AlkanBilkent University, Ankara, TurkeyVerified email at cs.bilkent.edu.tr
Fereydoun HormozdiariAssistant Professor at University of California - DavisVerified email at ucdavis.edu
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Seungjin ChoiProfessor of Computer Science, Pohang University of Science and TechnologyVerified email at postech.ac.kr
Kriti PuniyaniCarnegie Mellon UniversityVerified email at cs.cmu.edu
Wei WuSenior Systems Scientist, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Peter KinnairdPhD Student in Human Computer Interaction Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Soonho KongToyota Research InstituteVerified email at tri.global
Aurelie LozanoResearch Staff Member, IBM ResearchVerified email at us.ibm.com

Seunghak Lee

Research Scientist at Facebook

Verified email at cs.cmu.edu

Machine Learning Systems Computational Biology


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More effective distributed ml via a stale synchronous parallel parameter server Q Ho, J Cipar, H Cui, JK Kim, S Lee, PB Gibbons, GA Gibson, GR Ganger, ... Advances in neural information processing systems 2013, 1223, 2013	587	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, ... IEEE Transactions on Big Data 1 (2), 49-67, 2015	451	2015
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	158	2009
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	147	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	116	2017
On model parallelization and scheduling strategies for distributed machine learning S Lee, JK Kim, X Zheng, Q Ho, G Gibson, E P Xing Carnegie Mellon University, 2014	109	2014
Adaptive multi-task lasso: with application to eQTL detection S Lee, J Zhu, E P Xing Carnegie Mellon University, 2010	103	2010
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	100	2013
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	75	2016
A robust framework for detecting structural variations in a genome S Lee, E Cheran, M Brudno Bioinformatics 24 (13), i59-i67, 2008	75	2008
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	68	2005
Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs S Lee, EP Xing Bioinformatics 28 (12), i137-i146, 2012	58	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	38	2013
MoGUL: detecting common insertions and deletions in a population S Lee, E Xing, M Brudno Annual International Conference on Research in Computational Molecular …, 2010	19	2010
Dynamically Weighted Hidden Markov Model for Spam Deobfuscation. S Lee, I Jeong, S Choi IJCAI 7, 2523-2529, 2007	18	2007
Screening rules for overlapping group lasso S Lee, EP Xing arXiv preprint arXiv:1410.6880, 2014	15	2014
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	7	2017
Primitives for dynamic big model parallelism S Lee, JK Kim, X Zheng, Q Ho, GA Gibson, EP Xing arXiv preprint arXiv:1406.4580, 2014	7	2014
A network-driven approach for genome-wide association mapping S Lee, S Kong, EP Xing Bioinformatics 32 (12), i164-i173, 2016	6	2016
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	6	2014

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