@article{LiuSon04,
title = {The numerical analysis of Lobster stomatogastric nervous system},
author = {S.Q. Liu and L. Song},
journal = {Acta Biophysica Sinica},
volume = {20},
number = {3},
year = {2004}
}
@inproceedings{AhmDywHonetal04,
title = {Wilmascope graph visualization},
author = {A. Ahmed and T. Dywer and S.H. Hong and C. Murray and L. Song and Y. Wu},
booktitle = {IEEE Symposium on Information Visualization (InfoVis)},
year = {2004},
pdf = {papers/AhmDywHonetal04.pdf}
}
@article{LiuSon05,
title = {Curvature relation of wave front and wave changing in external field},
author = {S.Q. Liu and L. Song},
journal = {Applied Mathematics and Mechanics},
volume = {26},
number = {7},
year = {2005}
}
@inproceedings{ZheSonEad05,
title = {Crossing minimization problems of drawing bipartite graphs in two clusters},
author = {L. Zheng and L. Song and P. Eades},
booktitle = {Asian-Pacific Symposium on Information Visualization},
year = {2005},
pdf = {papers/ZheSonEad05.pdf}
}
@inproceedings{SonTak05,
title = {Real-time 3d finger pointing for an augmented desk},
author = {L. Song and M. Takatsuka},
booktitle = {Australasian User Interface Conference},
year = {2005},
pdf = {papers/SonTak05.pdf}
}
@inproceedings{AhmDywHonetal05,
title = {Visualization and analysis of large and complex scale-free networks},
author = {A. Ahmed and T. Dywer and S. Hong and C. Murray and L. Song and Y.X. Wu},
booktitle = {IEEE VGTC Symposium on Visualization (EUROGRAPHICS)},
year = {2005},
pdf = {papers/AhmDywHonetal05.pdf}
}
@inproceedings{HuaMurSheetal05,
title = {Visualization and analysis of network motifs},
author = {W. Huang and C. Murray and X. Shen and L. Song and Y.X. Wu and L. Zheng},
booktitle = {International Conference on Information Visualization},
year = {2005},
pdf = {papers/HuaMurSheetal05.pdf}
}
@inproceedings{Son05,
title = {Desynchronization network analysis for the recognition of imagined movement},
author = {L. Song},
booktitle = {IEEE EMBS Annual International Conference},
year = {2005},
pdf = {papers/Son05.pdf}
}
@incollection{SonGorGys06,
title = {Phase Synchrony Rate for the Recognition of Motor Imagery in BCIs},
author = {L. Song and E. Gordon and E. Gysels},
booktitle = {Advances in Neural Information Processing Systems 18},
publisher = {MIT Press},
address = {Cambridge, MA},
year = {2006},
pdf = {papers/SonGorGys06.pdf}
}
@inproceedings{SonEpp06a,
title = {Improving the separability of EEG signals during motor imagery with an efficient circular Laplacian},
author = {L. Song and J. Epps},
booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing},
year = {2006},
pdf = {papers/SonEpp06a.pdf}
}
@inproceedings{SonEpp06,
title = {Classifying {EEG} for brain-computer interfaces: learning optimal filters for dynamical system features},
author = {L. Song and J. Epps},
booktitle = {International Conference on Machine Learning},
year = {2006},
pdf = {papers/SonEpp06.pdf}
}
@article{WilPalLidetal06,
title = {The when and where of perceiving signals of threat versus non-threat},
author = {L. Williams and D. Palmer and B. Liddell and L. Song and E. Gordon},
journal = {NeuroImage},
volume = {31},
pages = {458-467},
year = {2006},
url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16460966&dopt=Citation}
}
@inproceedings{SonSmoGreBog07,
title = {A dependence maximization view of clustering},
author = {L. Song and A. Smola and A. Gretton and K. Borgwardt},
booktitle = {International Conference on Machine Learning},
year = {2007},
pdf = {papers/SonSmoGreBog07.pdf}
}
@inproceedings{SonSmoGreetal07a,
author = {L. Song and A. Smola and A. Gretton and K. Borgwardt and J. Bedo},
title = {Supervised Feature Selection via Dependence Estimation},
booktitle = {International Conference on Machine Learning},
year = {2007},
editor = {C. Sammut and Z. Ghahramani},
pdf = {papers/SonSmoGreetal07a.pdf}
}
@article{SonBedBoretal07,
author = {L. Song and J. Bedo and K. Borgwardt and A. Gretton and A. Smola},
title = {Gene Selection via the BAHSIC Family of Algorithms},
journal = {Bioinformatics (ISMB)},
volume = {23},
number = {13},
pages = {i490--i498},
year = {2007},
pdf = {papers/SonBedBoretal07.pdf}
}
@inproceedings{SmoGreSonSch07,
author = {A. Smola and A. Gretton and L. Song and B. Sch\"{o}lkopf},
title = {A Hilbert Space Embedding for Distributions},
booktitle = {Algorithmic Learning Theory},
year = {2007},
publisher = {Springer},
note = {Invited paper},
pdf = {papers/SmoGreSonSch07.pdf}
}
@article{KuaGatDobetal08,
author = {L. Williams and J. Gatt and S. Kuan and C. Dobson-Stone and D. Palmer and R. Paul and L. Song and P. Costa and P. Schofield and E. Gordon},
title = {A polymorphism of the maoa gene is associated with emotional brain markers and personality traits on an antisocial index},
journal = {Nature Neuropsychopharmacology},
volume = {34},
pages = {1797--1809},
year = {2009},
url = {http://www.nature.com/npp/journal/v34/n7/abs/npp20091a.html}
}
@incollection{GreFukTeoetal08,
title = {A Kernel Statistical Test of Independence},
author = {A. Gretton and K. Fukumizu and C. Teo and L. Song and
B. Sch\"{o}lkopf and A. Smola},
booktitle = {Advances in Neural Information Processing Systems 20},
editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
publisher = {MIT Press},
address = {Cambridge, MA},
year = {2008},
pdf = {papers/GreFukTeoetal08.pdf}
}
@incollection{SonSmoBorGre08,
title = {Colored Maximum Variance Unfolding},
author = {L. Song and A. Smola and K. Borgwardt and A. Gretton},
booktitle = {Advances in Neural Information Processing Systems 20},
editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
publisher = {MIT Press},
address = {Cambridge, MA},
year = {2008},
pdf = {papers/SonSmoBorGre08.pdf}
}
@inproceedings{SonZhaSmoetal08,
author = {L. Song and X. Zhang and A. Smola and A. Gretton and B. Sch\"{o}lkopf},
title = {Tailoring Density Estimation via Reproducing Kernel Moment Matching},
year = {2008},
booktitle = {International Conference on Machine Learning},
pdf = {papers/SonZhaSmoetal08.pdf}
}
@inproceedings{BorYanThoetal08,
author = {K. Borgwardt and X. Yan and M. Thoma and H. Cheng and A. Gretton and L. Song and A. Smola and J. Han and P. Yu and H. Kriegel},
title = {Combining near-optimal feature selection with gSpan},
booktitle = {Workshop on Mining and Learning with Graphs},
year = {2008},
url = {http://www.cis.hut.fi/MLG08/papers/session1/paper9.pdf}
}
@inproceedings{Song08,
author = {L. Song},
title = {Learning via Hilbert space embedding of distributions},
school = {National ICT Austraila and University of Sydney},
booktitle = {PhD Thesis},
year = {2008},
pdf = {papers/lesong_thesis.pdf}
}
@inproceedings{QuaSonSmo09,
author = {N. Quadrianto and L. Song and A. Smola},
title = {Kernelized Sorting},
booktitle = {Advances in Neural Information Processing Systems 21},
year = {2009},
pdf = {papers/QuaSonSmo09.pdf}
}
@inproceedings{ZhaSonGreSmo09,
author = {X. Zhang and L. Song and A. Gretton and A. Smola},
title = {Kernel Measures of Independence for non-iid Data},
booktitle = {Advances in Neural Information Processing Systems 21},
year = {2009},
pdf = {papers/ZhaSonGreSmo09.pdf}
}
@inproceedings{ThoCheGreetal09,
title = {Near-optimal supervised feature selection among frequent subgraphs},
author = {M. Thoma and H. Cheng and A. Gretton and J. Han and H. Kriegel and
A. Smola and L. Song and P. Yu and X. Yan and K. Borgwardt},
booktitle = {SIAM International Conference on Data Mining (SDM)},
year = {2009},
pdf = {papers/ThoCheGreetal09.pdf}
}
@inproceedings{SmoSonTeo09,
title = {Relative Novelty Detection},
author = {A. Smola and L. Song and C. Teo},
booktitle = {AI and Statistics},
year = {2009},
pdf = {papers/SmoSonTeo09.pdf}
}
@article{SonKolXin09a,
title = {KELLER: Estimating Time-Evolving Interactions between Genes},
author = {L. Song and M. Kolar and E. Xing},
journal = {Bioinformatics (ISMB)},
volume = {25},
number = {12},
pages = {i128--i136},
year = {2009},
pdf = {papers/SonKolXin09.pdf}
}
@inproceedings{FuSonXin09,
title = {Dynamic mixed membership blockmodel for evolving networks},
author = {W. Fu and L. Song and E. Xing},
booktitle = {International Conference on Machine Learning},
year = {2009},
pdf = {papers/FuSonXin09.pdf}
}
@inproceedings{SonHuaSmoFuk09,
title = {Hilbert space embeddings of conditional distributions},
author = {L. Song and J. Huang and A. Smola and K. Fukumizu},
booktitle = {International Conference on Machine Learning},
year = {2009},
pdf = {papers/SonHuaSmoetal09.pdf}
}
@inproceedings{KolSonXin10,
author = {M. Kolar and L. Song and E. Xing},
title = {Sparsistent learning of varying-coefficient models with structural changes},
booktitle = {Advances in Neural Information Processing Systems 22 (NIPS)},
year = {2010},
pdf = {papers/KolSonXin10.pdf}
}
@inproceedings{SonKolXin10,
author = {L. Song and M. Kolar and E. Xing},
title = {Time-varying dynamic Bayesian networks},
booktitle = {Advances in Neural Information Processing Systems 22 (NIPS)},
year = {2010},
pdf = {papers/SonKolXin10.pdf}
}
@article{XinFuSon10,
author = {E. Xing and W. Fu and L. Song},
title = {A State-Space Mixed Membership Blockmodel for Dynamic Network Tomography},
journal = {Annals of Applied Statistics},
year = {2010},
pdf = {papers/XinFuSon10.pdf}
}
@article{KolSonAhmXin10,
author = {M. Kolar and L. Song and A. Ahmed and E. Xing},
title = {Estimating Time-Varying Networks},
journal = {Annals of Applied Statistics},
year = {2010},
pdf = {papers/KolSonAhmXin10.pdf}
}
@article{QuaSmoSonTuy10,
author = {N. Quadrianto and A. Smola and L. Song and T. Tuytelaars},
title = {Kernelized Sorting},
journal = {IEEE Trans. on Pattern Analysis and Machine Intelligence},
year = {2010},
pdf = {papers/QuaSmoSonTuy10.pdf}
}
@inproceedings{HuaSonSch10,
author = {T. Huang and L. Song and J. Schneider},
title = {Learning Nonlinear Dynamic Models from Non-sequenced Data},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2010},
pdf = {papers/HuaSonSch10.pdf}
}
@inproceedings{SonGreGue10,
author = {L. Song and A. Gretton and C. Guestrin},
title = {Nonparametric Tree Graphical Models},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2010},
pdf = {papers/SonGreGue10.pdf}
}
@inproceedings{SonBooSidetal10,
author = {L. Song and B. Boots and S. Siddiqi and G. Gordon and A. Smola},
title = {Hilbert Space Embeddings of Hidden Markov Models},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2010},
pdf = {papers/SonBooSidetal10.pdf}
}
@inproceedings{HoParSonXin11,
author = {Q. Ho and A. Parikh and L. Song and E. Xing},
title = {Multiscale Community Blockmodel for Network Exploration},
booktitle = {International Conference on Artifical Intelligence and Statistics (AISTATS)},
year = {2011},
pdf = {papers/HoParSonXin11.pdf}
}
@inproceedings{HoSonXin11,
author = {Q. Ho and L. Song and E. Xing},
title = {Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks},
booktitle = {International Conference on Artifical Intelligence and Statistics (AISTATS)},
year = {2011},
pdf = {papers/HoSonXin11.pdf}
}
@inproceedings{SonGreBicLowGue11,
author = {L. Song and A. Gretton and D. Bickson and Y. Low and C. Guestrin},
title = {Kernel Belief Propagation},
booktitle = {International Conference on Artifical Intelligence and Statistics (AISTATS)},
year = {2011},
pdf = {paper/SonGreBicLowGue11.pdf}
}
@article{CurYueSonEtal11,
author = {R. Curtis and A. Yuen and L. Song and A. Goyal and E. Xing},
title = {TVNViewer: An interactive visualization tool for exploring networks that change over time and space},
journal = {Bioinformatics},
volume = {27},
number = {13},
pages = {1880-1},
year = {2011},
pdf = {papers/CurYueSonEtal11.pdf}
}
@inproceedings{AnaChaHsuKakEtAl11,
title = {Spectral Methods for Learning Multivariate Latent Tree Structure},
author = {A. Anandkumar and K. Chaudhuri and D. Hsu and S. Kakade and L. Song and T. Zhang},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2011},
pdf = {papers/AnaChaHsuKakEtAl11.pdf}
}
@inproceedings{FukSonGre11,
author = {K. Fukumizu and L. Song and A. Gretton},
title = {Kernel Bayes Rule},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2011},
pdf = {papers/FukSonGre11.pdf}
}
@inproceedings{SonParXin11,
author = {L. Song and A. Parikh and E. Xing},
title = {Kernel Embeddings of Latent Tree Graphical Models},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2011},
pdf = {papers/SonParXin11.pdf}
}
@inproceedings{ParSonXin11,
title = {A Spectral Algorithm for Latent Tree Graphical Models},
author = {A. Parikh and L. Song and E. P. Xing},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2011},
pdf = {papers/ParSonXin11.pdf}
}
@inproceedings{ParSonIshXin12,
title = {A Spectral Algorithm for Latent Junction Trees},
author = {Parikh, A.P. and Song, L. and Ishteva, M. and Teodoru, G. and Xing, E.P.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2012},
pdf = {papers/ParSonIshXin12.pdf}
}
@inproceedings{DuSonSmoYua12,
title = {Estimating heterogeneous social influence},
author = {N. Du and L. Song and A. Smola and M. Yuan},
booktitle = {Neural Information Processing Systems (NIPS)},
volume = {26},
year = {2012},
pdf = {papers/DuSonSmoYua12.pdf}
}
@article{SonSmoGreBedetal12,
author = {L. Song and A. Smola and A. Gretton and J. Bedo and K. Borgwardt},
title = {Feature Selection via Dependence Maximization},
journal = {Journal of Machine Learning Research (JMLR)},
year = {2012},
volume = {13},
pages = {1393--1434},
pdf = {papers/SonSmoGreBedetal12.pdf}
}
@inproceedings{FukSonGre12,
author = {K. Fukumizu and L. Song and A. Gretton},
title = {Kernel Bayes Rule: Bayesian inference with positive definite kernels},
booktitle = {Journal of Machine Learning Research (JMLR)},
year = {2012},
pdf = {papers/FukSonGre12.pdf}
}
@article{IshParSon12,
title = {Unfolding latent tree structures using 4th order tensors},
author = {M. Ishteva and H. Park and L. Song},
journal = {arxiv.org/pdf/1210.1258},
year = {2012},
pdf = {papers/IshParSon12.pdf}
}
@inproceedings{DuSonWooZha13,
title = {Uncover Topic-Sensitive Information Diffusion Networks},
author = {N. Du and L. Song and H. Woo and H. Zha},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2013},
pdf = {papers/DuSonWooZha13.pdf}
}
@inproceedings{ZhoZhaSon13,
title = {Learning Social Infectivity in Sparse Low-rank Networks Using
Multi-dimensional Hawkes Processes},
author = {K. Zhou and H. Zha and L. Song},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2013},
pdf = {papers/ZhoZhaSon13.pdf}
}
@article{SonFukGre13,
title = {Kernel Embeddings of Conditional Distributions},
author = {L. Song and A. Gretton and K. Fukumizu},
journal = {IEEE Signal Processing Magazine},
year = {2013},
pdf = {papers/SonFukGre13.pdf}
}
@inproceedings{IshSonPar13,
title = {Unfolding latent tree structures using 4th order tensors},
author = {M. Ishteva and L. Song and H. Park},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2013},
pdf = {papers/IshParSon13.pdf}
}
@inproceedings{SonIshParEtAl13,
title = {Hierarchical Tensor Decomposition of Latent Tree Graphical Models},
author = {L. Song and M. Ishteva and H. Park and A. Parikh and E. Xing},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2013},
pdf = {papers/SonIshParEtAl13.pdf}
}
@inproceedings{ZhoZhaSon13b,
title = {Learning Triggering Kernels for Multi-dimensional Hawkes Processes},
author = {K. Zhou and H. Zha and L. Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2013},
pdf = {papers/ZhoZhaSon13b.pdf}
}
@inproceedings{XieJanBajEtAl13,
title = {PolyA motif prediction using spectral latent features
from human DNA sequences},
author = {B. Xie and B. Jankovic and V. Bajic and L. Song and X. Gao},
booktitle = {ISMB},
year = {2013},
pdf = {papers/XieJanBajEtAl13.pdf}
}
@inproceedings{DuSonZhaRod13,
title = {Scalable influence estimation in continuous time diffusion networks},
author = {N. Du and L. Song and M. Rodriguez and H. Zha},
booktitle = {Neural Information Processing Systems (NIPS)},
volume = {27},
year = {2013},
pdf = {papers/DuSonRodZha13.pdf}
}
@inproceedings{SonDai13,
title = {Robust low rank kernel embedding of multivariate distributions},
author = {L. Song and B. Dai},
booktitle = {Neural Information Processing Systems (NIPS)},
volume = {27},
year = {2013},
pdf = {papers/SonDai13.pdf}
}
@inproceedings{DuLiaBalSon14,
title = {Influence Function Learning in Information Diffusion Networks },
author = {N. Du and Y. Liang and N. Balcan and L. Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2014},
pdf = {papers/DuLiaBalSon14.pdf}
}
@inproceedings{DanRodSonSch14,
title = {Estimating Diffusion Network Structure: Recovery Conditions, Sample Complexity, and a Soft-thresholding algorithm},
author = {N. Daneshmand and M. Rodriguez and L. Song and B. Scholkpof},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2014},
pdf = {papers/DanRodSonSch14.pdf}
}
@inproceedings{SonAnaDaiXie14,
title = {Nonparametric Estimation of Multi-View Latent Variable Models},
author = {L. Song and A. Anamdakumar and B. Dai and B. Xie},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2014},
pdf = {papers/SonAnaDaiXie14.pdf}
}
@inproceedings{AgaKakKarSonVal14,
title = {Least Squares Revisited: Scalable Approaches for Multi-class Prediction},
author = {A. Agarwal and S. Kakade and N. Karampatziakis and L. Song and G. Valiant},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2014},
pdf = {papers/AgaKakKarSonVal14.pdf}
}
@inproceedings{KhaDilSon14,
title = {Scalable Diffusion-Aware Optimization of Network Topology},
author = {E. Khalil and B. Dilkina and L. Song},
booktitle = {Knowledge Discovery and Data Mining (KDD)},
year = {2014},
pdf = {papers/KhaDilSon14.pdf}
}
@inproceedings{RodSonSch14,
title = {Finding Good Cascade Sampling Processes for the Network Inference Problem (Open Problem)},
author = {M. Rodriguez and L. Song and B. Scholkpof},
booktitle = {Conference on Learning Theory (COLT)},
year = {2014},
pdf = {papers/RodSonSch14.pdf}
}
@inproceedings{FarDuRodValZhaSon14,
title = {Shaping Social Activity by Incentivizing Users},
author = {M. Farajtabar and N. Du and M. Rodriguez and I. Valera and H. Zha and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2014},
pdf = {papers/FarDuRodValZhaSon14.pdf}
}
@inproceedings{DaiXieHeLiaRajBalSon14,
title = {Scalable Kernel Methods via Doubly Stochastic Gradients},
author = {B. Dai and B. Xie and N. He and Y. Liang and A. Raj and M. Balcan and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2014},
pdf = {papers/DaiXieHeLiaRajBalSon14.pdf}
}
@inproceedings{DuLiaBalSon14a,
title = {Learning Time-Varying Coverage Functions},
author = {N. Du and Y. Liang and M. Balcan and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2014},
pdf = {papers/DuLiaBalSon14a.pdf}
}
@inproceedings{BalBerBluCohPatSon14,
title = {Active Learning and Best-Response Dynamics},
author = {M. Balcan and C. Berlind and A. Blum and E. Cohen and K. Patnaik and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2014},
pdf = {papers/BalBerBluCohPatSon14.pdf}
}
@inproceedings{LonFarSonZha15,
title = {NetCodec: Community Detection from Individual Activities},
author = {T. Long and M. Farajtabar and L. Song and H. Zha},
booktitle = {SIAM International Conference on Data Mining (SDM)},
year = {2015},
pdf = {papers/LonFarSonZha15.pdf}
}
@inproceedings{YouDemCzeSonVud15,
title = {CA-SVM: Communication-Avoiding Support Vector Machines on Clusters},
author = {Y. You and J. Demmel and K. Czechowski and L. Song and R. Vuduc},
booktitle = {IEEE International Parallel &
Distributed Processing Symposium (IPDPS)},
year = {2015},
pdf = {papers/YouDemCzeSonVud15.pdf}
}
@inproceedings{YanSmoSonWil15,
title = {A la Carte -- Learning Fast Kernels},
author = {Z. Yang and A. Smola and L. Song and A. Wilson},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2015},
pdf = {papers/YanSmoSonWil15.pdf}
}
@inproceedings{FarDuZamRodSong15,
title = {Back to the Past: Source Identification in Diffusion Networks},
author = {M. Farajtabar and N. Du and M. Zamani and M. Rodriguez and L. Song},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2015},
pdf = {papers/FarDuZamRodSong15.pdf}
}
@inproceedings{RodSonDanSch15,
title = {Estimating Diffusion Network Structure: Recovery Conditions, Sample Complexity, and a Soft-thresholding algorithm},
author = {M. Rodriguez and L. Song and N. Daneshmand and B. Sch\"{o}lkpof},
booktitle = {Journal of Machine Learning Researches (JMLR)},
year = {2015},
pdf = {papers/RodSonDanSch15.pdf}
}
@inproceedings{XieLiaSon15,
title = {Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients},
author = {B. Xie, Y. Liang and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2015},
url = {papers/XieLiaSon15.pdf}
}
@inproceedings{ShaFarXieSonBoo15,
title = {Learning Latent Variable Models via Method of Moments and Exterior Point Optimization},
author = {A. Shaban and M. Farajtabar and B. Xie and L. Song and B. Boots},
booktitle = {Uncerntainty in Artificial Intelligence (UAI)},
year = {2015},
pdf = {papers/ShaFarXieSonBoo15.pdf}
}
@inproceedings{DuFarAhmSmoSon15,
title = {Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams},
author = {N. Du and M. Farajtabar and A. Ahmed and A. Smola and L. Song},
booktitle = {Knowledge Discovery and Data Mining (KDD)},
year = {2015},
pdf = {papers/DuFarAhmSmoSon15.pdf}
}
@inproceedings{FarWanRodLiZhaSon15,
title = {COEVOLVE: A Joint Point Process Model for Information
Diffusion and Network Co-evolution},
author = {M. Farajtabar and Y. Wang and M. Rodriguez and S. Li and H. Zha and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2015},
url = {http://arxiv.org/abs/1507.02293}
}
@inproceedings{LiXieDaiSon15,
title = {M-Statistic for Kernel Change-Point Detection},
author = {S. Li and Y. Xie and H. Dai and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2015},
url = {http://arxiv.org/abs/1507.01279}
}
@inproceedings{YanMocDenFreSmoSonWan15,
title = {Deep Fried Convnets},
author = {Z. Yang and M. Moczulski and M. Denil and N. de Freitas and A. Smola and L. Song and Z. Wang},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2015},
url = {http://arxiv.org/abs/1412.7149}
}
@inproceedings{ChoDuCheSonSun15,
title = {Constructing Disease Network and Temporal Progression Model
via Context-Sensitive Hawkes Process},
author = {E. Choi and N. Du and R. Chen and L. Song and J. Sun},
booktitle = {International Conference on Data Mining (ICDM)},
year = {2015},
pdf = {papers/ChoDuCheSonSun15.pdf}
}
@inproceedings{DuWanHeSon15,
title = {Time-Sensitive Recommendation},
author = {N. Du and Y. Wang and N. He and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2015},
pdf = {papers/DuWanHeSon15.pdf}
}
@inproceedings{LiuSonLiLiReh15,
title = {Efficient Continuous-Time Hidden Markov Model for Disease Modeling},
author = {Y. Liu and L. Song and F. Li and S. Li and J. Rehg},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2015},
pdf = {papers/LiuSonLiLiReh15}
}
@article{RodSonDuZhaSch16,
title = {Influence estimation and maximization in continuous time diffusion networks},
author = {M. Rodriguez and L. Song and N. Du and H. Zha and B. Sch\"{o}lkopf},
journal = {ACM Transactions on Information System},
year = {2016},
pdf = {http://tois.acm.org/}
}
@inproceedings{KhaBodSonNemDil16,
title = {Learning to Branch in Mixed Integer Programming},
author = {E. Khalil and P. Le Bodic and L. Song and G. Nemhauser and B. Dilkina},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2016},
pdf = {papers/KhaBodSonNemDil16.pdf}
}
@inproceedings{DaiHeDaiSon16,
title = {Scalable Bayesian Inference via Particle Mirror Descent},
author = {B. Dai and N. He and H. Dai and L. Song},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2016},
url = {http://arxiv.org/abs/1506.03101}
}
@inproceedings{NisAfsBooSon16,
title = {Nonparametric Kernel Bayes Smoother},
author = {Y. Nishiyama and A. Afsharinejad and B. Boots and L. Song},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2016},
url = {http://arxiv.org/abs/1506.03101}
}
@inproceedings{BalLiaSonWooXie16,
title = {Communication Efficient Distributed Kernel Principal Component Analysis},
author = {M. Balcan and Y. Liang and L. Song and D. Woodruff and B. Xie},
booktitle = {Knowledge Discovery and Data Mining (KDD)},
year = {2016},
url = {http://arxiv.org/abs/1503.06858}
}
@inproceedings{DuLiaBalRodZhaSon16,
title = {Scalable influence maximization for multiple products},
author = {N. Du and Y. Liang and M. Balcan and M. Rodriguez and H. Zha and L. Song},
booktitle = {Journal of Machine Learning Research (JMLR)},
year = {2016},
url = {http://arxiv.org/abs/1312.2164}
}
@inproceedings{DaiDaiSon16,
title = {Discriminative Embeddings of Latent Variable Models for Structured Data},
author = {H. Dai and B. Dai and L. Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2016},
url = {papers/DaiDaiSon16.pdf}
}
@inproceedings{WanTheVerSon16,
title = {Steering Opinion Dynamics in Information Diffusion Networks},
author = {Y. Wang and E. Theodorou and A. Verma and L. Song},
booktitle = {Arxiv},
year = {2016},
url = {http://arxiv.org/abs/1603.09021}
}
@inproceedings{LiXieFarSon16,
title = {Detecting weak changes in dynamic events over networks},
author = {S. Li and Y. Xie and M Farajtabar and L. Song},
booktitle = {Arxiv},
year = {2016},
url = {http://arxiv.org/abs/1603.08981}
}
@inproceedings{WanXieSon16,
title = {Isotonic Hawkes Processes},
author = {Y. Wang and B. Xie and L. Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2016},
url = {papers/WanXieSon16.pdf}
}
@inproceedings{DuDaiTriEtal16,
title = {Recurrent Marked Temporal Point Process},
author = {N. Du and H. Dai and R. Trivedi and U. Upadhyay and M. Rodriguez and L. Song},
booktitle = {Knowledge Discovery and Data Mining (KDD)},
year = {2016},
pdf = {papers/DuDaiTriEtal16.pdf}
}
@inproceedings{KarTavFarEtal16,
title = {Smart broadcasting: Do you want to be seen?},
author = {M. Karimi and E. Tavakoli and M. Farajtabar and L. Song and M. Rodriguez},
booktitle = {Knowledge Discovery and Data Mining (KDD)},
year = {2016},
pdf = {papers/KarTavFarEtal16.pdf}
}
@inproceedings{WanDuTrivSon16,
title = {Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions},
author = {Y. Wang and N. Du and R. Trivedi and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2016},
pdf = {papers/WanDuTriSon16.pdf}
}
@inproceedings{FarYeHarSonZha16,
title = {Multistage Campaigning in Social Networks},
author = {Mehrdad Farajtabar and Xiaojing Ye and Sahar Harati and Le Song and Hongyuan Zha},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2016},
url = {https://arxiv.org/abs/1606.03816}
}
@inproceedings{XieLiaSon17,
title = {Diversity leads to generalization in neural networks},
author = {B. Xie and Y. Liang and L. Song},
booktitle = {Artificial Intelligence and Statistics},
year = {2017},
pdf = {https://arxiv.org/abs/1611.03131}
}
@inproceedings{DaiHePanBooSon17,
title = {Learning from conditional distributions via dual embeddings},
author = {B. Dai and N. He and Y. Pan and B. Boots and L. Song},
booktitle = {Artificial Intelligence and Statistics},
year = {2017},
url = {https://arxiv.org/abs/1607.04579}
}
@inproceedings{WanYeZhaSon17,
title = {Fokker-Planck inference machines: linking microscopic
event history to macroscopic prediction},
author = {Y. Wang and X. Ye and and H. Zhou, H. Zha and L. Song},
booktitle = {Artificial Intelligence and Statistics},
year = {2017},
pdf = {papers/WanYeZhoZhaSon17.pdf}
}
@inproceedings{DaiWanTriSon17,
title = {Recurrent Coevolutionary Feature Embedding Processes for Recommendation},
author = {H. Dai and Y. Wang and R. Trivedi and L. Song},
booktitle = {Recsys Workshop on Deep Learning for Recommendation Systems},
year = {2017},
url = {https://arxiv.org/abs/1609.03675}
}
@inproceedings{TabValFarSonSchRod17,
title = {Distilling Information Reliability and Source Trustworthiness from Digital Traces},
author = {B. Tabibian and I. Valera and M. Farajtabar and L. Song and B. Schölkopf and M. Rodriguez},
booktitle = {World Wide Web (WWW)},
year = {2017},
url = {https://arxiv.org/abs/1610.07472}
}
@article{LiXieFarVerSon17,
title = {Detecting weak changes in dynamic events over networks},
author = {S. Li and Y. Xie and M. Farajtabar and A. Verma and L. Song},
journal = {IEEE Transactions on Signal and Information Processing over Networks},
year = {2017},
url = {https://arxiv.org/abs/1603.08981}
}
@inproceedings{FarYanYeXuEtal17,
title = {Fake News Mitigation via Point Process Based Intervention},
author = {Mehrdad Farajtabar and Jiachen Yang and Xiaojing Ye and Huan Xu and Rakshit Trivedi and Elias Khalil and Shuang Li and Le Song and Hongyuan Zha},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2017},
url = {https://arxiv.org/abs/1703.07823}
}
@inproceedings{LiuDaiHumTayEtal17,
title = {Iterative Machine Teaching},
author = {Weiyang Liu and Bo Dai and Ahmad Humayun and Charlene Tay and Chen Yu and Linda Smith and James Rehg and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2017},
url = {https://arxiv.org/abs/1705.10470}
}
@inproceedings{TriDaiWanSon17,
title = {Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs},
author = {Rakshit Trivedi and Hajun Dai and Yichen Wang and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2017},
url = {https://arxiv.org/abs/1705.05742}
}
@inproceedings{DaiGuoKumHeSon17,
title = {Stochastic Generative Hashing},
author = {Bo Dai and Ruiqi Guo and Sanjiv Kumar and Niao He and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2017},
url = {https://arxiv.org/abs/1701.02815}
}
@inproceedings{WanWilTheSon17,
title = {Variational Policy for Guiding Point Processes},
author = {Yichen Wang and Grady Williams and Evangelos Theodorou and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2017},
url = {https://arxiv.org/abs/1701.08585}
}
@article{DaiRamKuwLiSonGao17,
title = {Sequence2Vec: A novel embedding approach for modeling transcription factor binding affinity landscape},
author = {Hanjun Dai and Ramzan Umarov and Hiroyuki Kuwahara and Yu Li and Le Song and Xin Gao},
journal = {Bioinformatics},
pages = {480},
year = {2017},
url = {https://doi.org/10.1093/bioinformatics/btx480}
}
@article{FarWanRodLiZhaSon17,
title = {COEVOLVE: A Joint Point Process Model for Information
Diffusion and Network Co-evolution},
author = {M. Farajtabar and Y. Wang and M. Rodriguez and S. Li and H. Zha and L. Song},
journal = {Journal of Machine Learning Researches (JMLR)},
year = {2017},
url = {http://arxiv.org/abs/1507.02293}
}
@article{SonLiuParXin17,
title = {Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning},
author = {L. Song and H. Liu and A. Parikh and E. Xing},
journal = {Journal of Machine Learning Researches (JMLR)},
year = {2017},
pdf = {papers/SonLiuParXin17.pdf}
}
@inproceedings{WanYeZhaSon17a,
title = {Predicting User Activity Level in Point Process Models with Mass Transport Equation},
author = {Y. Wang and X. Ye and H. Zha and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2017},
pdf = {https://papers.nips.cc/paper/6762-predicting-user-activity-level-in-point-processes-with-mass-transport-equation}
}
@inproceedings{SonVemWilXie17,
title = {On the Complexity of Learning Neural Networks},
author = {L. Song and S. Vempala and J. Wilmes and B. Xie},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2017},
url = {https://arxiv.org/abs/1707.04615}
}
@inproceedings{LiuZhaLiYuDaiEtAl17,
title = {Deep Hyperspherical Learning of Convolution Neural Networks},
author = {W. Liu and Y. Zhang and X. Li and Z. Yu and B. Dai and T. Zhao and L. Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2017},
url = {https://arxiv.org/abs/1711.03189}
}
@inproceedings{XiaFarYeYanSonZha17,
title = {Wasserstein Learning of Deep Generative Point Process Models},
author = {S. Xiao and M. Farajtabar and X. Ye and J. Yan and L. Song and H. Zha},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2017},
url = {https://arxiv.org/abs/1705.08051}
}
@inproceedings{XuLiuFenYinSonSon17,
title = {Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection},
author = {X. Xu and C. Liu and Q. Feng and H. Yin and L. Song and D. Song},
booktitle = {ACM Conference on Computer and Communications Security (CCS)},
year = {2017},
url = {https://arxiv.org/abs/1708.06525}
}
@inproceedings{DaiKhaZhaDilSon17,
title = {Learning Combinatorial Optimization Algorithms over Graphs},
author = {H. Dai and E. Khalil and Y. Zhang and B. Dilkina and L.Song},
booktitle = {Neural Information Processing Systems (NIPS)},
year = {2017},
url = {https://arxiv.org/abs/1704.01665}
}
@inproceedings{XiaFaYeYanSonZha18,
title = {Learning Conditional Generative Models for Temporal Point Processes},
author = {S. Xiao and M. Farajtabar and X. Ye and J. Yan and L. Song and H. Zha},
booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
year = {2018},
url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16163/16203}
}
@inproceedings{KawXieVikSon18,
title = {Deep Semi-random Features for Nonlinear Function Approximation},
author = {K. Kawaguchi and B. Xie and V. Vikas and L. Song},
booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
year = {2018},
url = {http://arxiv.org/abs/1702.08882}
}
@inproceedings{ZhaDaiKozSmoSon18,
title = {Variational Reasoning for Question Answering with Knowledge Graph},
author = {Y. Zhang and H. Dai and Z. Kozareva and A. Smola and L. Song},
booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
year = {2018},
url = {https://arxiv.org/abs/1709.04071}
}
@inproceedings{LiuLiuYuDaiEtal18,
title = {Decoupled Networks},
author = {Weiyang Liu and Zhen Liu and Zhiding Yu and Bo Dai and Rongmei Lin and Yisen Wang and James Rehg and Le Song},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2018},
url = {https://arxiv.org/abs/1804.08071}
}
@inproceedings{WanLiuMaEtal18,
title = {Iterative Learning with Open-set Noisy Labels},
author = {Yisen Wang and Weiyang Liu and Xingjun Ma and James Bailey and Hongyuan Zha and Le Song and Shu-Tao Xia},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2018},
url = {https://arxiv.org/abs/1804.00092}
}
@inproceedings{DaiShaHeLiSon18,
title = {Boosting the Actor with Dual Critic},
author = {Bo Dai and Albert Shaw and Niao He and Lihong Li and Le Song},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2018},
url = {https://arxiv.org/abs/1712.10282}
}
@inproceedings{DaiTiaDaiSkiSon18,
title = {Syntax-Directed Variational Autoencoder for Structured Data},
author = {Hanjun Dai and Yingtao Tian and Bo Dai and Steven Skiena and Le Song},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2018},
url = {https://arxiv.org/abs/1802.08786}
}
@inproceedings{WanTheVerSon18,
title = {A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop},
author = {Yichen Wang and Evangelos Theodorou and Apurv Verma and Le Song},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2018},
url = {https://arxiv.org/abs/1603.09021}
}
@inproceedings{LimDuDaiJunSonPar18,
title = {Multi-scale Nystrom Method},
author = {Woosang Lim and Rundong Du and Bo Dai and Kyomin Jung and Le Song and Haesun Park},
booktitle = {Artificial Intelligence and Statistics (AISTATS)},
year = {2018},
url = {http://proceedings.mlr.press/v84/lim18a.html}
}
@inproceedings{CheSonWaiJor18,
title = {Learning to Explain: An Information-Theoretic Perspective on Model Interpretation},
author = {Jianbo Chen and Le Song and Martin Wainwright and Michael Jordan},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2018},
url = {https://arxiv.org/abs/1802.07814}
}
@inproceedings{CheZhuSon18,
title = {Stochastic Training of Graph Convolutional Networks},
author = {Jianfei Chen and Jun Zhu and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2018},
url = {https://arxiv.org/abs/1710.10568}
}
@inproceedings{DaiLiTiaHuaEtal18,
title = {Adversarial Attack on Graph Structured Data},
author = {Hanjun Dai and Hui Li and Tian Tian and Xin Huang and Lin Wang and Jun Zhu and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2018},
url = {https://arxiv.org/abs/1806.02371}
}
@inproceedings{LiuDaiLiRehSon18,
title = {Towards Black-box Iterative Machine Teaching},
author = {Weiyang Liu and Bo Dai and Xingguo Li and James Rehg and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2018},
url = {https://arxiv.org/abs/1710.07742}
}
@inproceedings{DaiKozDaiSmoSon18,
title = {Learning Steady States of Iterative Algorithms over Graphs},
author = {Hajun Dai and Zornitsa Kozareva and Bo Dai and Alex Smola and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2018},
url = {http://proceedings.mlr.press/v80/dai18a.html}
}
@inproceedings{DaiShaLiLiEtal18,
title = {SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation},
author = {Bo Dai and Albert Shaw and Lihong Li and Lin Xiao and Niao He and Zhen Liu and Jianshu Chen and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2018},
url = {https://arxiv.org/abs/1712.10285}
}
@inproceedings{SiDaiRagNaiSon18,
title = {Learning Loop Invariants for Program Verification},
author = {Xujie Si and Hanjun Dai and Mukund Raghothaman and Mayur Naik and Le Song},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
year = {2018},
url = {https://papers.nips.cc/paper/8001-learning-loop-invariants-for-program-verification.pdf}
}
@inproceedings{DaiDaiHeLiuLiuEtal18,
title = {Coupled Variational Bayes via Optimization Embedding},
author = {Bo Dai and Hanjun Dai and Niao He and Weiyang Liu and Zhen Liu and Jianshu Chen and Lin Xiao and Le Song},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
year = {2018},
url = {https://papers.nips.cc/paper/8177-coupled-variational-bayes-via-optimization-embedding.pdf}
}
@inproceedings{LiuLinLiuLiuEtal18,
title = {Learning towards Minimum Hyperspherical Energy},
author = {Weiyang Liu and Rongmei Lin and Zhen Liu and Lixin Liu and Zhiding Yu and Bo Dai and Le Song},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
year = {2018},
url = {https://arxiv.org/pdf/1805.09298.pdf}
}
@inproceedings{LiXiaZhuDuEtal18,
title = {Learning temporal point processes via reinforcement learning},
author = {Shuang Li and Shuai Xiao and Shixiang Zhu and Nan Du and Yao Xie and Le Song},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
year = {2018},
url = {https://papers.nips.cc/paper/8276-learning-temporal-point-processes-via-reinforcement-learning.pdf}
}
@inproceedings{liu2018heterogeneous,
title = {Heterogeneous Graph Neural Networks for Malicious Account Detection},
author = {Liu, Ziqi and Chen, Chaochao and Yang, Xinxing and Zhou, Jun and Li, Xiaolong and Song, Le},
booktitle = {Proceedings of the 27th ACM International Conference on Information and Knowledge Management},
pages = {2077--2085},
year = {2018},
organization = {ACM},
url = {https://dl.acm.org/citation.cfm?id=3272010}
}
@inproceedings{liu2019geniepath,
title = {Geniepath: Graph neural networks with adaptive receptive paths},
author = {Liu, Ziqi and Chen, Chaochao and Li, Longfei and Zhou, Jun and Li, Xiaolong and Song, Le and Qi, Yuan},
booktitle = {AAAI},
year = {2019},
url = {https://arxiv.org/pdf/1802.00910.pdf}
}
@inproceedings{li2019latent,
title = {Latent Dirichlet Allocation for Internet Price War},
author = {Li, Chenchen and Yan, Xiang and Deng, Xiaotie and Qi, Yuan and Chu, Wei and Song, Le and Qiao, Junlong and He, Jianshan and Xiong, Junwu},
booktitle = {AAAI},
year = {2019},
url = {https://arxiv.org/pdf/1808.07621.pdf}
}
@article{xiao2019learning,
title = {Learning Time Series Associated Event Sequences With Recurrent Point Process Networks},
author = {Xiao, Shuai and Yan, Junchi and Farajtabar, Mehrdad and Song, Le and Yang, Xiaokang and Zha, Hongyuan},
journal = {IEEE transactions on neural networks and learning systems},
year = {2019},
publisher = {IEEE},
url = {https://ieeexplore.ieee.org/document/8624540}
}
@inproceedings{dai2019kernel,
title = {Kernel Exponential Family Estimation via Doubly Dual Embedding},
author = {Dai, Bo and Dai, Hanjun and Gretton, Arthur and Song, Le and Schuurmans, Dale and He, Niao},
booktitle = {AISTATS},
year = {2019},
url = {https://arxiv.org/pdf/1811.02228.pdf}
}
@inproceedings{chen2019shapley,
title = {L-shapley and c-shapley: Efficient model interpretation for structured data},
author = {Chen, Jianbo and Song, Le and Wainwright, Martin J and Jordan, Michael I},
booktitle = {ICLR},
year = {2019},
url = {https://arxiv.org/pdf/1808.02610.pdf}
}
@inproceedings{si2019learning,
title = {Learning a Meta-Solver for Syntax-Guided Program Synthesis},
author = {Si, Xujie and Yang, Yuan and Dai, Hanjun and Naik, Mayur and Song, Le},
booktitle = {ICLR},
year = {2019},
url = {https://openreview.net/pdf?id=Syl8Sn0cK7}
}
@inproceedings{chen2019particle,
title = {Particle flow Bayes' rule},
author = {Chen, Xinshi and Dai, Hanjun and Song, Le},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2019},
url = {https://arxiv.org/pdf/1902.00640.pdf}
}
@inproceedings{chen2019generative,
title = {Generative Adversarial User Model for Reinforcement Learning Based Recommendation System},
author = {Chen, Xinshi and Li, Shuang and Li, Hui and Jiang, Shaohua and Qi, Yuan and Song, Le},
booktitle = {International Conference on Machine Learning (ICML)},
pages = {1052--1061},
year = {2019},
url = {https://arxiv.org/pdf/1812.10613.pdf}
}
@inproceedings{zhang2019language,
title = {Language Modeling with Shared Grammar},
author = {Zhang, Yuyu and Song, Le},
booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
year = {2019},
pages = {P19-1437},
url = {https://www.aclweb.org/anthology/}
}
@inproceedings{zhao2019evolving,
title = {Large Scale Evolving Graphs with Burst Detection},
author = {Yifeng Zhao and Xiangwei Wang and Hongxia Yang and and Le Song and Jie Tang},
booktitle = { International Joint Conference on Artificial Intelligence (IJCAI)},
year = {2019},
url = {https://www.ijcai.org/proceedings/2019/0613.pdf}
}
@inproceedings{chen2020rna,
title = {RNA Secondary Structure Prediction By Learning Unrolled Algorithms},
author = {Chen, Xinshi and Li, Yu and Umarov, Ramzan and Gao, Xin and Song, Le},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2020}
}
@inproceedings{chen2019learning,
title = {Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees},
author = {Chen, Binghong and Dai, Bo and Lin, Qinjie and Ye, Guo and Liu, Han and Song, Le},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2020}
}
@inproceedings{dinella2020hoppity,
title = {HOPPITY: LEARNING GRAPH TRANSFORMATIONS TO DETECT AND FIX BUGS IN PROGRAMS},
author = {Dinella, Elizabeth and Dai, Hanjun and Li, Ziyang and Naik, Mayur and Song, Le and Wang, Ke},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2020}
}
@inproceedings{yang2019learn,
title = {Learn to Explain Efficiently via Neural Logic Inductive Learning},
author = {Yang, Yuan and Song, Le},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2020}
}
@inproceedings{li2018double,
title = {Double neural counterfactual regret minimization},
author = {Li, Hui and Hu, Kailiang and Ge, Zhibang and Jiang, Tao and Qi, Yuan and Song, Le},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2020}
}
@inproceedings{zhang2020efficient,
title = {Efficient probabilistic logic reasoning with graph neural networks},
author = {Zhang, Yuyu and Chen, Xinshi and Yang, Yuan and Ramamurthy, Arun and Li, Bo and Qi, Yuan and Song, Le},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2020}
}
@inproceedings{shrivastava2019glad,
title = {GLAD: Learning Sparse Graph Recovery},
author = {Shrivastava, Harsh and Chen, Xinshi and Chen, Binghong and Lan, Guanghui and Aluru, Srinvas and Song, Le},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2020}
}
@inproceedings{ding2019optimal,
title = {Optimal Solution Predictions for Mixed Integer Programs},
author = {Ding, Jian-Ya and Zhang, Chao and Shen, Lei and Li, Shengyin and Wang, Bing and Xu, Yinghui and Song, Le},
booktitle = {AAAI},
year = {2020}
}
@inproceedings{lopez2019cost,
title = {Cost-Effective Incentive Allocation via Structured Counterfactual Inference},
author = {Lopez, Romain and Li, Chenchen and Yan, Xiang and Xiong, Junwu and Jordan, Michael I and Qi, Yuan and Song, Le},
booktitle = {AAAI},
year = {2020}
}
@inproceedings{chen2020learning,
title = {Learning to Stop While Learning to Predict},
author = {Chen, Xinshi and Dai, Hanjun and Li, Yu and Gao, Xin and Song, Le},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2020},
url = {https://arxiv.org/pdf/2006.05082.pdf}
}
@inproceedings{li2020temporal,
title = {Temporal Logic Point Processes},
author = {Shuang Li and Lu Wang and Ruizhi Zhang and Xiaofu Chang and Xuqin Liu and Yao Xie and Yuan Qi and Le Song},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2020},
url = {https://proceedings.icml.cc/static/paper_files/icml/2020/4907-Paper.pdf}
}
@inproceedings{chen2020retro,
title = {Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search},
author = {Chen, Binghong and Li, Chengtao and Dai, Hanjun and Song, Le},
booktitle = {International Conference on Machine Learning (ICML)},
year = {2020},
url = {https://arxiv.org/pdf/2006.15820.pdf}
}
@inproceedings{chang2020continuous,
title = {Continuous-Time Dynamic Graph Learning via Neural Interaction Processes},
author = {Chang, Xiaofu and Liu, Xuqin and Wen, Jianfeng and Li, Shuang and Fang, Yanming and Song, Le and Qi, Yuan},
booktitle = {Proceedings of the 29th ACM International Conference on Information \& Knowledge Management},
pages = {145--154},
year = {2020}
}
@inproceedings{chen2020question,
title = {Question Directed Graph Attention Network for Numerical Reasoning over Text},
author = {Chen, Kunlong and Xu, Weidi and Cheng, Xingyi and Xiaochuan, Zou and Zhang, Yuyu and Song, Le and Wang, Taifeng and Qi, Yuan and Chu, Wei},
booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
year = {2020},
url = {https://arxiv.org/pdf/2009.07448.pdf}
}
@inproceedings{si2020code2inv,
title = {Code2Inv: A Deep Learning Framework for Program Verification},
author = {Si, Xujie and Naik, Aaditya and Dai, Hanjun and Naik, Mayur and Song, Le},
booktitle = {International Conference on Computer Aided Verification},
pages = {151--164},
year = {2020},
organization = {Springer}
}
@inproceedings{yang2020devil,
title = {The Devil is in the Detail: a Framework for Macroscopic Prediction via Microscopic Models},
author = {Yingxiang Yang and Negar Kiyavash and Le Song and Niao He},
booktitle = {Neural Information Processing Systems (NeurIPS)},
year = {2020}
}
@inproceedings{liu2020bandit,
title = {Bandit Samplers for Training Graph Neural Networks},
author = {Liu, Ziqi and Wu, Zhengwei and Zhang, Zhiqiang and Zhou, Jun and Yang, Shuang and Song, Le and Qi, Yuan},
booktitle = {Neural Information Processing Systems (NeurIPS)},
year = {2020},
url = {https://arxiv.org/pdf/2006.05806.pdf}
}
@inproceedings{chen2020understanding,
title = {Understanding Deep Architectures with Reasoning Layer},
author = {Chen, Xinshi and Zhang, Yufei and Reisinger, Christoph and Song, Le},
booktitle = {Neural Information Processing Systems (NeurIPS)},
year = {2020},
url = {https://arxiv.org/pdf/2006.13401.pdf}
}
@inproceedings{liu2021orthogonal,
title = {Orthogonal over-parameterized training},
author = {W. Liu and R. Lin and Z. Liu and J. Rehg and L. Paull and L. Xiong and L. Song and A. Weller},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2021},
url = {https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Orthogonal_Over-Parameterized_Training_CVPR_2021_paper.pdf}
}
@inproceedings{li2021arbitrar,
title = {Arbitrar: User-guided API misuse detection},
author = {Z. Li and A. Machiry and B. Chen and M. Naik and K. Wang and L. Song},
booktitle = {IEEE Symposium on Security and Privacy (SP)},
year = {2021},
url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9519443}
}
@inproceedings{zhang2021answer,
title = {Answering Any-hop Open-domain Questions with Iterative Document Reranking},
author = {Y. Zhang and P. Nie and A. Ramamurthy and L. Song},
booktitle = {ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)},
year = {2021},
url = {https://dl.acm.org/doi/pdf/10.1145/3404835.3462853}
}
@inproceedings{li2021bertify,
title = {BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition},
author = {Y. Li and P. Shetty and L. Liu and C. Zhang and L. Song},
booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
year = {2021},
url = {https://aclanthology.org/2021.acl-long.482.pdf}
}
@inproceedings{chen2021molecule,
title = {Molecule Optimization by Explainable Evolution},
author = {B. Chen and T. Wang and C. Li and H. Dai and L. Song
},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2021},
url = {https://openreview.net/pdf?id=jHefDGsorp5}
}
@inproceedings{zhang2021biased,
title = {A biased graph neural network sampler with near-optimal regret},
author = {Q. Zhang and D. Wipf and Q. Gan and L. Song},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/file/4a08142c38dbe374195d41c04562d9f8-Paper.pdf}
}
@inproceedings{zhao2021proto,
title = {Proto: Program-guided transformer for program-guided tasks
},
author = {Z. Zhao and K. Samel and B. Chen},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/file/8d34201a5b85900908db6cae92723617-Paper.pdf}
}
@inproceedings{huang2021scallop,
title = {Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning},
author = {J. Huang and Z. Li and B. Chen and K. Samel and M. Naik and L. Song and X. Si},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/file/d367eef13f90793bd8121e2f675f0dc2-Paper.pdf}
}
@inproceedings{xu2021locality,
title = {Locality sensitive teaching},
author = {Z. Xu and B. Chen and C. Li and W. Liu and L. Song and Y. Lin and A. Shrivastava},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/file/95c3f1a8b262ec7a929a8739e21142d7-Paper.pdf}
}
@inproceedings{yu2021roma,
title = {RoMA: Robust Model Adaptation for Offline Model-based Optimization},
author = {S. Yu and S. Ahn and L. Song and J. Shin},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS},
year = {2021},
url = {https://openreview.net/pdf?id=VH0TRmnqUc}
}
@inproceedings{chen2021multitask,
title = {Multi-task Learning of Order-Consistent Causal Graphs},
author = {X. Chen and H. Sun and C. Ellington and E. Xing and L. Song},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/file/5c3a3b139a11689e0bc55abd95e20e39-Paper.pdf}
}
@inproceedings{shrivastava2021grnular,
title = {An Unrolled Deep Learning Framework for Single Cell Gene Regulatory Networks},
author = {H. Shrivastava and X. Zhang and L. Song and S. Aluru},
booktitle = {Research in Computational Molecular Biology Conference (RECOMB)},
year = {2021},
url = {https://www.biorxiv.org/content/10.1101/2020.04.23.058149v1.abstract}
}
@article{BatSonRam2021,
title = {Emerging materials intelligence ecosystems propelled by machine learning},
author = {R. Batra and L. Song and R. Ramprasad},
journal = {Nature Review Materials},
volume = {6},
number = {8},
pages = {655-678},
year = {2021}
}
@inproceedings{zhang2022prompt,
title = {Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning},
author = {R. Zhang and Y. Yu and P. Shetty and L. Song and C. Zhang},
booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
year = {2022},
url = {https://aclanthology.org/2022.acl-long.55.pdf}
}
@inproceedings{li2022sparse,
title = {Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition},
author = {Y. Li and L. Song and C. Zhang},
booktitle = {ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Association for Computing Machinery (KDD)},
year = {2022},
url = {https://yinghao-li.github.io/files/KDD.2022.sparse.chmm.preview.pdf}
}
@article{wu2022gnn,
title = {Graph Neural Networks},
author = {L. Wu and P. Cui and J. Pei and L. Zhao and L. Song},
journal = {Graph Neural Networks: Foundations, Frontiers, and Applications},
pages = {27-37},
year = {2022}
}
@article{shrivastava2022grnular,
title = {GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks},
author = {H. Shrivastava and X. Zhang and L. Song and S. Aluru},
journal = {Journal of Computational Biology},
volume = {29},
number = {1},
pages = {27-44},
year = {2022}
}
@inproceedings{chen2022provable,
title = {Provable Learning-based Algorithm For Sparse Recovery},
author = {X. Chen and H. Sun and L. Song},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2022},
url = {https://openreview.net/pdf?id=BwPaPxwgyQb}
}
@inproceedings{wang2022counter,
title = {GNN is a Counter? Revisiting GNN for Question Answering},
author = {K. Wang and Y. Zhang and D. Yang and L. Song and T. Qin},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2022},
url = {https://arxiv.org/pdf/2110.03192}
}
@inproceedings{li2022explaining,
title = {Explaining Point Processes by Learning Interpretable Temporal Logic Rules},
author = {S. Li and M. Feng and L. Wang and A. Essofi and Y. Cao and J. Yan and L. Song},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2022},
url = {https://openreview.net/pdf?id=P07dq7iSAGr}
}
@inproceedings{ahn2022spanning,
title = {Spanning tree-based graph generation for molecules},
author = {S. Ahn and B. Chen and T. Wang and L. Song},
booktitle = {International Conference on Learning Representations (ICLR)},
year = {2022},
url = {https://openreview.net/pdf?id=w60btE_8T2m}
}
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