Le Song

According to our database1, Le Song authored at least 159 papers between 2004 and 2019.

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Bibliography

2019
Dynamic Force Transducer Calibration Based on Electrostatic Force.
IEEE Access, 2019

Learning From Networks: Algorithms, Theory, and Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Large Scale Evolving Graphs with Burst Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Particle Flow Bayes' Rule.
Proceedings of the 36th International Conference on Machine Learning, 2019

Generative Adversarial User Model for Reinforcement Learning Based Recommendation System.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning a Meta-Solver for Syntax-Guided Program Synthesis.
Proceedings of the 7th International Conference on Learning Representations, 2019

L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data.
Proceedings of the 7th International Conference on Learning Representations, 2019

Kernel Exponential Family Estimation via Doubly Dual Embedding.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Language Modeling with Shared Grammar.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

GeniePath: Graph Neural Networks with Adaptive Receptive Paths.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Latent Dirichlet Allocation for Internet Price War.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Optimization of Electrostatic Force System Based on Newton Interpolation Method.
J. Sensors, 2018

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Learning Loop Invariants for Program Verification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning towards Minimum Hyperspherical Energy.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Coupled Variational Bayes via Optimization Embedding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Temporal Point Processes via Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Black-box Iterative Machine Teaching.
Proceedings of the 35th International Conference on Machine Learning, 2018

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Adversarial Attack on Graph Structured Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Steady-States of Iterative Algorithms over Graphs.
Proceedings of the 35th International Conference on Machine Learning, 2018

Stochastic Training of Graph Convolutional Networks with Variance Reduction.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Syntax-Directed Variational Autoencoder for Structured Data.
Proceedings of the 6th International Conference on Learning Representations, 2018

Boosting the Actor with Dual Critic.
Proceedings of the 6th International Conference on Learning Representations, 2018

Iterative Learning With Open-Set Noisy Labels.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Decoupled Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Heterogeneous Graph Neural Networks for Malicious Account Detection.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Multi-scale Nystrom Method.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Variational Reasoning for Question Answering With Knowledge Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Conditional Generative Models for Temporal Point Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Deep Semi-Random Features for Nonlinear Function Approximation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Detecting Changes in Dynamic Events Over Networks.
IEEE Trans. Signal and Information Processing over Networks, 2017

Design and Implementation of a Communication-Optimal Classifier for Distributed Kernel Support Vector Machines.
IEEE Trans. Parallel Distrib. Syst., 2017

The Differential Method for Force Measurement Based on Electrostatic Force.
J. Sensors, 2017

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution.
J. Mach. Learn. Res., 2017

Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks.
J. Mach. Learn. Res., 2017

Sequence2Vec: a novel embedding approach for modeling transcription factor binding affinity landscape.
Bioinformatics, 2017

Distilling Information Reliability and Source Trustworthiness from Digital Traces.
Proceedings of the 26th International Conference on World Wide Web, 2017

Wasserstein Learning of Deep Generative Point Process Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predicting User Activity Level In Point Processes With Mass Transport Equation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

On the Complexity of Learning Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Hyperspherical Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Combinatorial Optimization Algorithms over Graphs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

GRAM: Graph-based Attention Model for Healthcare Representation Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Variational Policy for Guiding Point Processes.
Proceedings of the 34th International Conference on Machine Learning, 2017

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Iterative Machine Teaching.
Proceedings of the 34th International Conference on Machine Learning, 2017

Fake News Mitigation via Point Process Based Intervention.
Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Generative Hashing.
Proceedings of the 34th International Conference on Machine Learning, 2017

Recurrent Hidden Semi-Markov Model.
Proceedings of the 5th International Conference on Learning Representations, 2017

SphereFace: Deep Hypersphere Embedding for Face Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, Dallas, TX, USA, October 30, 2017

POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, CCS 2017, Dallas, TX, USA, October 30, 2017

Linking Micro Event History to Macro Prediction in Point Process Models.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Learning from Conditional Distributions via Dual Embeddings.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Diverse Neural Network Learns True Target Functions.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Learning Continuous-Time Hidden Markov Models for Event Data.
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016
Influence Estimation and Maximization in Continuous-Time Diffusion Networks.
ACM Trans. Inf. Syst., 2016

Reduction of Kinematic Short Baseline Multipath Effects Based on Multipath Hemispherical Map.
Sensors, 2016

Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm.
J. Mach. Learn. Res., 2016

Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation.
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Multistage Campaigning in Social Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Smart Broadcasting: Do You Want to be Seen?
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Recurrent Marked Temporal Point Processes: Embedding Event History to Vector.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Communication Efficient Distributed Kernel Principal Component Analysis.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Isotonic Hawkes Processes.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Discriminative Embeddings of Latent Variable Models for Structured Data.
Proceedings of the 33nd International Conference on Machine Learning, 2016

The Nonparametric Kernel Bayes Smoother.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Provable Bayesian Inference via Particle Mirror Descent.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning to Branch in Mixed Integer Programming.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Spiral tool path generation for diamond turning optical freeform surfaces of quasi-revolution.
Computer-Aided Design, 2015

Diffusion in Social and Information Metworks: Research Problems; Probabilistic Models & Machine Learning Methods.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Co-evolutionary Dynamics of Information Diffusion and Network Structure.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

NetCodec: Community Detection from Individual Activities.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

M-Statistic for Kernel Change-Point Detection.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Time-Sensitive Recommendation From Recurrent User Activities.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

CA-SVM: Communication-Avoiding Support Vector Machines on Distributed Systems.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Deep Fried Convnets.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A la Carte - Learning Fast Kernels.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Shaping Social Activity by Incentivizing Users.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning Time-Varying Coverage Functions.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Scalable Kernel Methods via Doubly Stochastic Gradients.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Active Learning and Best-Response Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Scalable diffusion-aware optimization of network topology.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Nonparametric Estimation of Multi-View Latent Variable Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Influence Function Learning in Information Diffusion Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm.
Proceedings of the 31th International Conference on Machine Learning, 2014

Least Squares Revisited: Scalable Approaches for Multi-class Prediction.
Proceedings of the 31th International Conference on Machine Learning, 2014

Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models.
IEEE Signal Process. Mag., 2013

Kernel Bayes' rule: Bayesian inference with positive definite kernels.
J. Mach. Learn. Res., 2013

Calibration Method for Stereovision Measurement of High-Temperature Components Using Two Infrared Cameras.
IJAT, 2013

A biologically-inspired embedded monitoring network system for moving target detection in panoramic view.
EURASIP J. Wireless Comm. and Networking, 2013

Poly(A) motif prediction using spectral latent features from human DNA sequences.
Bioinformatics, 2013

Robust Low Rank Kernel Embeddings of Multivariate Distributions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Scalable Influence Estimation in Continuous-Time Diffusion Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning Triggering Kernels for Multi-dimensional Hawkes Processes.
Proceedings of the 30th International Conference on Machine Learning, 2013

Hierarchical Tensor Decomposition of Latent Tree Graphical Models.
Proceedings of the 30th International Conference on Machine Learning, 2013

Unfolding Latent Tree Structures using 4th Order Tensors.
Proceedings of the 30th International Conference on Machine Learning, 2013

Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Uncover Topic-Sensitive Information Diffusion Networks.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Feature Selection via Dependence Maximization.
J. Mach. Learn. Res., 2012

A Spectral Algorithm for Latent Junction Trees.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Learning Networks of Heterogeneous Influence.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Adaptive control of a quadruped robot based on Central Pattern Generators.
Proceedings of the IEEE 10th International Conference on Industrial Informatics, 2012

2011
Kernel Belief Propagation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Multiscale Community Blockmodel for Network Exploration.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

TVNViewer: An interactive visualization tool for exploring networks that change over time or space.
Bioinformatics [ISMB/ECCB], 2011

Kernel Embeddings of Latent Tree Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Kernel Bayes' Rule.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Spectral Methods for Learning Multivariate Latent Tree Structure.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Spectral Algorithm for Latent Tree Graphical Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Discriminative frequent subgraph mining with optimality guarantees.
Statistical Analysis and Data Mining, 2010

Kernelized Sorting.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Nonparametric Tree Graphical Models.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning Nonlinear Dynamic Models from Non-sequenced Data.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Research on sentiment classification of Blog based on PMI-IR.
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010

Hilbert Space Embeddings of Hidden Markov Models.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Relative Novelty Detection.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

KELLER: estimating time-varying interactions between genes.
Bioinformatics, 2009

Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

Time-Varying Dynamic Bayesian Networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Sparsistent Learning of Varying-coefficient Models with Structural Changes.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Hilbert space embeddings of conditional distributions with applications to dynamical systems.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Dynamic mixed membership blockmodel for evolving networks.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Kernel Measures of Independence for non-iid Data.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Kernelized Sorting.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Tailoring density estimation via reproducing kernel moment matching.
Proceedings of the Machine Learning, 2008

2007
Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features.
Comp. Int. and Neurosc., 2007

Colored Maximum Variance Unfolding.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Kernel Statistical Test of Independence.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Gene selection via the BAHSIC family of algorithms.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Study on the Vision Reading Algorithm based on Template Matching and Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2007

Method for Automatic Image Recognition based on Algorithm Fusion.
Proceedings of the Third International Conference on Natural Computation, 2007

Supervised feature selection via dependence estimation.
Proceedings of the Machine Learning, 2007

A dependence maximization view of clustering.
Proceedings of the Machine Learning, 2007

A Hilbert Space Embedding for Distributions.
Proceedings of the Discovery Science, 10th International Conference, 2007

A Hilbert Space Embedding for Distributions.
Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007

2006
The 'when' and 'where' of perceiving signals of threat versus non-threat.
NeuroImage, 2006

Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features.
Proceedings of the Machine Learning, 2006

Improving Separability of Eeg Signals During Motor Imagery With An Efficient Circular Laplacian.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Visualisation and Analysis of Large and Complex Scale-free Networks.
Proceedings of the EuroVis05: Joint Eurographics, 2005

Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Visualisation and Analysis of Network Motifs.
Proceedings of the 9th International Conference on Information Visualisation, 2005

Real-time 3D Finger Pointing for an Augmented Desk.
Proceedings of the User Interfaces 2005, 2005

Crossing Minimization Problems of Drawing Bipartite Graphs in Two Clusters.
Proceedings of the Asia-Pacific Symposium on Information Visualisation, 2005

2004
WilmaScope Graph Visualisation.
Proceedings of the 10th IEEE Symposium on Information Visualization (InfoVis 2004), 2004


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