Le Song

Nan Du, Le Song, Alex J. Smola, Ming Yuan: Learning Networks of Heterogeneous Influence. NIPS 2012: 2789-2797

Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing: A Spectral Algorithm for Latent Junction Trees. UAI 2012: 675-684

Mariya Ishteva, Haesun Park, Le Song: Unfolding Latent Tree Structures using 4th Order Tensors. CoRR abs/1210.1258 (2012)

Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing: A Spectral Algorithm for Latent Junction Trees. CoRR abs/1210.4884 (2012)

Ross E. Curtis, Amos Yuen, Le Song, Anuj Goyal, Eric P. Xing: TVNViewer: An interactive visualization tool for exploring networks that change over time or space. Bioinformatics [ISMB/ECCB] 27(13): 1880-1881 (2011)

Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing: Multiscale Community Blockmodel for Network Exploration. Journal of Machine Learning Research - Proceedings Track 15: 333-341 (2011)

Qirong Ho, Le Song, Eric P. Xing: Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks. Journal of Machine Learning Research - Proceedings Track 15: 342-350 (2011)

Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin: Kernel Belief Propagation. Journal of Machine Learning Research - Proceedings Track 15: 707-715 (2011)

Ankur P. Parikh, Le Song, Eric P. Xing: A Spectral Algorithm for Latent Tree Graphical Models. ICML 2011: 1065-1072

Kenji Fukumizu, Le Song, Arthur Gretton: Kernel Bayes' Rule. NIPS 2011: 1737-1745

Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu, Sham M. Kakade, Le Song, Tong Zhang: Spectral Methods for Learning Multivariate Latent Tree Structure. NIPS 2011: 2025-2033

Le Song, Ankur P. Parikh, Eric P. Xing: Kernel Embeddings of Latent Tree Graphical Models. NIPS 2011: 2708-2716

Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin: Kernel Belief Propagation. CoRR abs/1105.5592 (2011)

Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu, Sham M. Kakade, Le Song, Tong Zhang: Spectral Methods for Learning Multivariate Latent Tree Structure. CoRR abs/1107.1283 (2011)

Tzu-Kuo Huang, Le Song, Jeff G. Schneider: Learning Nonlinear Dynamic Models from Non-sequenced Data. Journal of Machine Learning Research - Proceedings Track 9: 350-357 (2010)

Le Song, Arthur Gretton, Carlos Guestrin: Nonparametric Tree Graphical Models. Journal of Machine Learning Research - Proceedings Track 9: 765-772 (2010)

Novi Quadrianto, Alex J. Smola, Le Song, Tinne Tuytelaars: Kernelized Sorting. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1809-1821 (2010)

Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt: Discriminative frequent subgraph mining with optimality guarantees. Statistical Analysis and Data Mining 3(5): 302-318 (2010)

Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola: Hilbert Space Embeddings of Hidden Markov Models. ICML 2010: 991-998

Le Song, Mladen Kolar, Eric P. Xing: KELLER: estimating time-varying interactions between genes. Bioinformatics 25(12) (2009)

Alexander J. Smola, Le Song, Choon Hui Teo: Relative Novelty Detection. Journal of Machine Learning Research - Proceedings Track 5: 536-543 (2009)

Wenjie Fu, Le Song, Eric P. Xing: Dynamic mixed membership blockmodel for evolving networks. ICML 2009: 42

Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu: Hilbert space embeddings of conditional distributions with applications to dynamical systems. ICML 2009: 121

Mladen Kolar, Le Song, Eric P. Xing: Sparsistent Learning of Varying-coefficient Models with Structural Changes. NIPS 2009: 1006-1014

Le Song, Mladen Kolar, Eric P. Xing: Time-Varying Dynamic Bayesian Networks. NIPS 2009: 1732-1740

Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt: Near-optimal Supervised Feature Selection among Frequent Subgraphs. SDM 2009: 1075-1086

Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton, Bernhard Schölkopf: Tailoring density estimation via reproducing kernel moment matching. ICML 2008: 992-999

Novi Quadrianto, Le Song, Alex J. Smola: Kernelized Sorting. NIPS 2008: 1289-1296

Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smola: Kernel Measures of Independence for non-iid Data. NIPS 2008: 1937-1944

Alex J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf: A Hilbert Space Embedding for Distributions. ALT 2007: 13-31

Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf: A Hilbert Space Embedding for Distributions. Discovery Science 2007: 40-41

Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt: A dependence maximization view of clustering. ICML 2007: 815-822

Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo: Supervised feature selection via dependence estimation. ICML 2007: 823-830

Le Song, Yuchi Lin: Study on the Vision Reading Algorithm based on Template Matching and Neural Network. IJCNN 2007: 967-972

Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola: Gene selection via the BAHSIC family of algorithms. ISMB/ECCB (Supplement of Bioinformatics) 2007: 490-498

Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alex J. Smola: A Kernel Statistical Test of Independence. NIPS 2007

Le Song, Alex J. Smola, Karsten M. Borgwardt, Arthur Gretton: Colored Maximum Variance Unfolding. NIPS 2007

Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo: Supervised Feature Selection via Dependence Estimation. CoRR abs/0704.2668 (2007)

Le Song, Julien Epps: Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features. ICML 2006: 857-864

Lanbo Zheng, Le Song, Peter Eades: Crossing Minimization Problems of Drawing Bipartite Graphs in Two Clusters. APVIS 2005: 33-37

Le Song, Masahiro Takatsuka: Real-time 3D Finger Pointing for an Augmented Desk. AUIC 2005: 99-108

Weidong Huang, Colin Murray, Xiaobin Shen, Le Song, Ying Xin Wu, Lanbo Zheng: Visualisation and Analysis of Network Motifs. IV 2005: 697-702

Le Song, Evian Gordon, Elly Gysels: Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface. NIPS 2005

Adel Ahmed, Tim Dwyer, Seok-Hee Hong, Colin Murray, Le Song, Ying Xin Wu: Visualisation and Analysis of Large and Complex Scale-free Networks. EuroVis 2005: 239-246

Adel Ahmed, Tim Dwyer, Colin Murray, Le Song, Ying Xin Wu: WilmaScope Graph Visualisation. INFOVIS 2004