Le Song

Le Song's AcademicInfluence.com Rankings

Le Song

Computer Science

#12361

World Rank

#13201

Historical Rank

Algorithms

#502

World Rank

#508

Historical Rank

Machine Learning

#5677

World Rank

#5755

Historical Rank

Artificial Intelligence

#6128

World Rank

#6223

Historical Rank

computer-science Degrees

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Computer Science

Le Song's Degrees

PhD Computer Science Carnegie Mellon University
Masters Computer Science Carnegie Mellon University
Bachelors Computer Science Tsinghua University

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Le Song's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

A Hilbert Space Embedding for Distributions (2007) (834)
A Kernel Statistical Test of Independence (2007) (715)
Stochastic Training of Graph Convolutional Networks with Variance Reduction (2017) (357)
Feature Selection via Dependence Maximization (2012) (347)
Supervised feature selection via dependence estimation (2007) (332)
Hilbert space embeddings of conditional distributions with applications to dynamical systems (2009) (304)
Estimating time-varying networks (2008) (280)
Hilbert Space Embeddings of Hidden Markov Models (2010) (229)
A state-space mixed membership blockmodel for dynamic network tomography (2008) (228)
Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models (2013) (210)
Dynamic mixed membership blockmodel for evolving networks (2009) (183)
Time-Varying Dynamic Bayesian Networks (2009) (183)
Kernel Bayes' rule: Bayesian inference with positive definite kernels (2013) (179)
Scalable diffusion-aware optimization of network topology (2014) (124)
Near-optimal Supervised Feature Selection among Frequent Subgraphs (2009) (119)
A dependence maximization view of clustering (2007) (117)
Colored Maximum Variance Unfolding (2007) (109)
KELLER: estimating time-varying interactions between genes (2009) (107)
Kernelized Sorting (2008) (101)
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks (2011) (97)
Kernel Belief Propagation (2011) (85)
A Spectral Algorithm for Latent Tree Graphical Models (2011) (80)
Relative Novelty Detection (2009) (73)
Sparsistent Learning of Varying-coefficient Models with Structural Changes (2009) (63)
Gene selection via the BAHSIC family of algorithms (2007) (61)
Tailoring density estimation via reproducing kernel moment matching (2008) (60)
Kernel Bayes' Rule (2010) (57)
Discriminative frequent subgraph mining with optimality guarantees (2010) (56)
Spectral Methods for Learning Multivariate Latent Tree Structure (2011) (53)
Nonparametric Tree Graphical Models (2010) (48)
A Multiscale Community Blockmodel for Network Exploration (2011) (44)
Kernel Embeddings of Latent Tree Graphical Models (2011) (43)
Hierarchical Tensor Decomposition of Latent Tree Graphical Models (2013) (35)
Kernel Measures of Independence for non-iid Data (2008) (32)
A Spectral Algorithm for Latent Junction Trees (2012) (22)
TVNViewer: An interactive visualization tool for exploring networks that change over time or space (2011) (19)
Time-Varying Networks: Recovering Temporally Rewiring Genetic Networks During the Life Cycle of Drosophila melanogaster (2008) (18)
Kernel Embeddings of Conditional Distributions (2013) (17)
Nonparametric Tree Graphical Models via Kernel Embeddings (2010) (15)
Characterizing Malicious Edges targeting on Graph Neural Networks (2018) (14)
A Biased Graph Neural Network Sampler with Near-Optimal Regret (2021) (13)
Large Scale Evolving Graphs with Burst Detection (2019) (13)
Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning (2014) (8)
Learning Nonlinear Dynamic Models from Non-sequenced Data (2010) (7)
Infinite Hierarchical MMSB Model for Nested Communities/Groups in Social Networks (2010) (3)
Combining near-optimal feature selection with gSpan (2008) (3)
Overlapping Clustering of Contextual Bandits with NMF techniques (2017) (1)
DGE : Influence Minimization in Networks (2013) (1)
The BAHSIC family of gene selection algorithms (2006) (1)
Discriminative Estimation of f-Divergence (2008) (1)
Scalable Kernel Embedding of Latent Variable Models (2014) (0)
Supplemental for Spectral Algorithm For Latent Tree Graphical Models (2012) (0)
Appendix to Supervised Feature Selection via Dependence Estimation (2006) (0)
Modeling Rich Structured Data via Kernel Distribution Embeddings (2011) (0)
A Spectral Algorithm For Latent Junction Trees-Supplementary Material (2012) (0)

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Le Song's Academic­Influence.com Rankings

Le Song's Degrees

Similar Degrees You Can Earn

Why Is Le Song Influential?

Le Song's Published Works

Published Works

Le Song's AcademicInfluence.com Rankings