Le Song
Le Song
Bestätigte E-Mail-Adresse bei cc.gatech.edu - Startseite
Zitiert von
Zitiert von
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
A Hilbert space embedding for distributions
A Smola, A Gretton, L Song, B Schölkopf
International Conference on Algorithmic Learning Theory, 13-31, 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
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
Discriminative embeddings of latent variable models for structured data
H Dai, B Dai, L Song
International conference on machine learning, 2702-2711, 2016
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
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
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
Estimating time-varying networks
M Kolar, L Song, A Ahmed, EP Xing
The Annals of Applied Statistics 4 (1), 94-123, 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
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
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
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
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
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
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
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
Hilbert space embeddings of hidden Markov models
L Song, B Boots, S Siddiqi, GJ Gordon, A Smola
Time-varying dynamic bayesian networks
L Song, M Kolar, EP Xing
Advances in neural information processing systems, 1732-1740, 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
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