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Le Song
Le Song
Biomap, Mohamed bin Zayed University of Artificial Intelligence
Verified email at biomap.com - Homepage
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
27722017
Learning combinatorial optimization algorithms over graphs
E Khalil, H Dai, Y Zhang, B Dilkina, L Song
Advances in neural information processing systems 30, 2017
12292017
A Hilbert space embedding for distributions
A Smola, A Gretton, L Song, B Schölkopf
Algorithmic Learning Theory: 18th International Conference, ALT 2007, Sendai …, 2007
9222007
A kernel statistical test of independence
A Gretton, K Fukumizu, C Teo, L Song, B Schölkopf, A Smola
Advances in neural information processing systems 20, 2007
8712007
Discriminative embeddings of latent variable models for structured data
H Dai, B Dai, L Song
International conference on machine learning, 2702-2711, 2016
6852016
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
6062016
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
5992018
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
5652017
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
5362017
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
4512018
Stochastic training of graph convolutional networks with variance reduction
J Chen, J Zhu, L Song
arXiv preprint arXiv:1710.10568, 2017
4452017
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
4142013
Feature Selection via Dependence Maximization.
L Song, A Smola, A Gretton, J Bedo, K Borgwardt
Journal of Machine Learning Research 13 (5), 2012
4122012
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
4082007
Know-evolve: Deep temporal reasoning for dynamic knowledge graphs
R Trivedi, H Dai, Y Wang, L Song
international conference on machine learning, 3462-3471, 2017
3782017
Variational reasoning for question answering with knowledge graph
Y Zhang, H Dai, Z Kozareva, A Smola, L Song
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
3702018
Estimating time-varying networks
M Kolar, L Song, A Ahmed, EP Xing
The Annals of Applied Statistics, 94-123, 2010
3382010
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
3342009
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
3232015
Syntax-directed variational autoencoder for structured data
H Dai, Y Tian, B Dai, S Skiena, L Song
arXiv preprint arXiv:1802.08786, 2018
3132018
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