Le Song - Google Scholar

Cited by

	All	Since 2015
Citations	13037	10661
h-index	62	54
i10-index	149	141

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2007200820092010201120122013201420152016201720182019202034 77 141 221 285 355 492 644 796 1152 1392 2122 3048 2108

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Alex SmolaAmazon Web ServicesVerified email at smola.org
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Hongyuan Zha 査宏远College of Computing, Georgia Institute of TechnologyVerified email at cc.gatech.edu
NAN DUGoogle BrainVerified email at google.com
Mehrdad FarajtabarResearch Scientist, Google DeepMindVerified email at google.com
Manuel Gomez RodriguezTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Niao HeUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Yichen WangQuantitative Researcher, Citadel LLCVerified email at gatech.edu
Bo XieFacebookVerified email at fb.com
Karsten BorgwardtProfessor of Machine Learning in the Life Sciences at ETH ZurichVerified email at bsse.ethz.ch
Yingyu LiangUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Maria-Florina BalcanAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Mladen KolarThe University of Chicago, Booth School of BusinessVerified email at chicagobooth.edu
Choon Hui TeoAmazonVerified email at amazon.com
Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.edu
James M. RehgProfessor of Computer Science, Georgia Institute of TechnologyVerified email at gatech.edu
Ankur P ParikhResearch Scientist at Google AIVerified email at google.com
Bistra DilkinaAssociate Professor and Assoc. Dir of CAIS, University of Southern CaliforniaVerified email at usc.edu
Justin BedoThe Walter and Eliza Hall InstituteVerified email at cua0.org

Le Song

Georgia Institute of Technology

Verified email at cc.gatech.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sphereface: Deep hypersphere embedding for face recognition W Liu, Y Wen, Z Yu, M Li, B Raj, L Song Proceedings of the IEEE conference on computer vision and pattern …, 2017	963	2017
A Hilbert space embedding for distributions A Smola, A Gretton, L Song, B Schölkopf International Conference on Algorithmic Learning Theory, 13-31, 2007	600	2007
A kernel statistical test of independence A Gretton, K Fukumizu, CH Teo, L Song, B Schölkopf, AJ Smola Advances in neural information processing systems, 585-592, 2008	482	2008
Learning combinatorial optimization algorithms over graphs E Khalil, H Dai, Y Zhang, B Dilkina, L Song Advances in Neural Information Processing Systems, 6348-6358, 2017	328	2017
Feature selection via dependence maximization L Song, A Smola, A Gretton, J Bedo, K Borgwardt The Journal of Machine Learning Research 13 (1), 1393-1434, 2012	294	2012
Supervised feature selection via dependence estimation L Song, A Smola, A Gretton, KM Borgwardt, J Bedo Proceedings of the 24th international conference on Machine learning, 823-830, 2007	280	2007
Discriminative embeddings of latent variable models for structured data H Dai, B Dai, L Song International conference on machine learning, 2702-2711, 2016	279	2016
Estimating time-varying networks M Kolar, L Song, A Ahmed, EP Xing The Annals of Applied Statistics 4 (1), 94-123, 2010	269	2010
The ‘when’and ‘where’of perceiving signals of threat versus non-threat LM Williams, D Palmer, BJ Liddell, L Song, E Gordon Neuroimage 31 (1), 458-467, 2006	265	2006
Recurrent marked temporal point processes: Embedding event history to vector N Du, H Dai, R Trivedi, U Upadhyay, M Gomez-Rodriguez, L Song Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016	263	2016
Learning social infectivity in sparse low-rank networks using multi-dimensional hawkes processes K Zhou, H Zha, L Song Artificial Intelligence and Statistics, 641-649, 2013	250	2013
Scalable influence estimation in continuous-time diffusion networks N Du, L Song, MG Rodriguez, H Zha Advances in neural information processing systems, 3147-3155, 2013	250	2013
Deep fried convnets Z Yang, M Moczulski, M Denil, N de Freitas, A Smola, L Song, Z Wang Proceedings of the IEEE International Conference on Computer Vision, 1476-1483, 2015	227	2015
Influence estimation and maximization in continuous-time diffusion networks M Gomez-Rodriguez, L Song, N Du, H Zha, B Schölkopf ACM Transactions on Information Systems (TOIS) 34 (2), 1-33, 2016	216	2016
GRAM: graph-based attention model for healthcare representation learning E Choi, MT Bahadori, L Song, WF Stewart, J Sun Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	214	2017
A state-space mixed membership blockmodel for dynamic network tomography EP Xing, W Fu, L Song The Annals of Applied Statistics 4 (2), 535-566, 2010	210	2010
Hilbert space embeddings of conditional distributions with applications to dynamical systems L Song, J Huang, A Smola, K Fukumizu Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	207	2009
Hilbert space embeddings of hidden Markov models L Song, B Boots, S Siddiqi, GJ Gordon, A Smola	204	2010
Time-varying dynamic bayesian networks L Song, M Kolar, EP Xing Advances in neural information processing systems, 1732-1740, 2009	192	2009
Dynamic mixed membership blockmodel for evolving networks W Fu, L Song, EP Xing Proceedings of the 26th annual international conference on machine learning …, 2009	176	2009

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