Le Song
Le Song
Verified email at cc.gatech.edu - Homepage
Cited by
Cited by
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
Learning combinatorial optimization algorithms over graphs
H Dai, EB Khalil, Y Zhang, B Dilkina, L Song
arXiv preprint arXiv:1704.01665, 2017
A kernel statistical test of independence.
A Gretton, K Fukumizu, CH Teo, L Song, B Schölkopf, AJ Smola
Nips 20, 585-592, 2007
Discriminative embeddings of latent variable models for structured data
H Dai, B Dai, L Song
International conference on machine learning, 2702-2711, 2016
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
Feature Selection via Dependence Maximization.
L Song, A Smola, A Gretton, J Bedo, K Borgwardt
Journal of Machine Learning Research 13 (5), 2012
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
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
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
Estimating time-varying networks
M Kolar, L Song, A Ahmed, EP Xing
The Annals of Applied Statistics, 94-123, 2010
Adversarial attack on graph structured data
H Dai, H Li, T Tian, X Huang, L Wang, J Zhu, L Song
International conference on machine learning, 1115-1124, 2018
Neural network-based graph embedding for cross-platform binary code similarity detection
X Xu, C Liu, Q Feng, H Yin, L Song, D Song
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
Scalable influence estimation in continuous-time diffusion networks
N Du, L Song, M Gomez-Rodriguez, H Zha
Advances in neural information processing systems 26, 3147, 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
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
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
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
Learning to explain: An information-theoretic perspective on model interpretation
J Chen, L Song, M Wainwright, M Jordan
International Conference on Machine Learning, 883-892, 2018
A state-space mixed membership blockmodel for dynamic network tomography
EP Xing, W Fu, L Song
The Annals of Applied Statistics, 535-566, 2010
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