| Scalable kernel methods via doubly stochastic gradients B Dai, B Xie, N He, Y Liang, A Raj, MFF Balcan, L Song Advances in Neural Information Processing Systems, 3041-3049, 2014 | 199 | 2014 |
| Diverse Neural Network Learns True Target Functions B Xie, Y Liang, L Song Artificial Intelligence and Statistics, 1216-1224, 2017 | 103* | 2017 |
| m-SNE: Multiview stochastic neighbor embedding B Xie, Y Mu, D Tao, K Huang IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011 | 100 | 2011 |
| Isotonic hawkes processes Y Wang, B Xie, N Du, L Song International Conference on Machine Learning, 2226-2234, 2016 | 47 | 2016 |
| Nonparametric estimation of multi-view latent variable models L Song, A Anandkumar, B Dai, B Xie International Conference on Machine Learning, 2014 | 45 | 2014 |
| On the complexity of learning neural networks L Song, S Vempala, J Wilmes, B Xie Advances in Neural Information Processing Systems, 5520-5528, 2017 | 44 | 2017 |
| Communication efficient distributed kernel principal component analysis MF Balcan, Y Liang, L Song, D Woodruff, B Xie Knowledge Discovery and Data Mining (KDD), 2016 | 41* | 2016 |
| Scale up nonlinear component analysis with doubly stochastic gradients B Xie, Y Liang, L Song Advances in Neural Information Processing Systems, 2341-2349, 2015 | 34 | 2015 |
| Poly (A) motif prediction using spectral latent features from human DNA sequences B Xie, BR Jankovic, VB Bajic, L Song, X Gao Bioinformatics 29 (13), i316-i325, 2013 | 32 | 2013 |
| Toward the optimization of normalized graph Laplacian B Xie, M Wang, D Tao IEEE Transactions on Neural Networks 22 (4), 660-666, 2011 | 26 | 2011 |
| Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method. A Shaban, M Farajtabar, B Xie, L Song, B Boots UAI, 792-801, 2015 | 25 | 2015 |
| Large-scale insider trading analysis: patterns and discoveries A Tamersoy, E Khalil, B Xie, SL Lenkey, BR Routledge, DH Chau, ... Social Network Analysis and Mining 4 (1), 201, 2014 | 23 | 2014 |
| Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification Q Li, B Xie, J You, W Bian, D Tao IEEE Transactions on Image Processing 25 (8), 3801-3813, 2016 | 19 | 2016 |
| Large-scale Dictionary Learning For Local Coordinate Coding. B Xie, M Song, D Tao BMVC, 1-9, 2010 | 18 | 2010 |
| Inside insider trading: Patterns & discoveries from a large scale exploratory analysis A Tamersoy, B Xie, SL Lenkey, BR Routledge, DH Chau, SB Navathe Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013 | 17 | 2013 |
| Corrlog: Correlated logistic models for joint prediction of multiple labels W Bian, B Xie, D Tao Artificial Intelligence and Statistics, 109-117, 2012 | 13 | 2012 |
| Deep Semi-Random Features for Nonlinear Function Approximation K Kawaguchi, B Xie, L Song arXiv preprint arXiv:1702.08882, 2017 | 12 | 2017 |
| Music Tagging with Regularized Logistic Regression. B Xie, W Bian, D Tao, P Chordia ISMIR, 711-716, 2011 | 12 | 2011 |
| Multi-view pedestrian recognition using shared dictionary learning with group sparsity S Zheng, B Xie, K Huang, D Tao International Conference on Neural Information Processing, 629-638, 2011 | 9 | 2011 |
| Large-scale Gaussian process regression via doubly stochastic gradient descent X Yan, B Xie, L Song, B Boots, G EDU The ICML Workshop on Large-Scale Kernel Learning, 2015 | 5 | 2015 |
Le SongGeorgia Institute of TechnologyVerified email at cc.gatech.edu
