| Image denoising and inpainting with deep neural networks J Xie, L Xu, E Chen Advances in Neural Information Processing Systems, 341-349, 2012 | 1872 | 2012 |
| Maximum margin clustering L Xu, J Neufeld, B Larson, D Schuurmans Advances in neural information processing systems, 1537-1544, 2004 | 639 | 2004 |
| Robust support vector machine training via convex outlier ablation L Xu, K Crammer, D Schuurmans AAAI 6, 536-542, 2006 | 218 | 2006 |
| Unsupervised and semi-supervised multi-class support vector machines L Xu, D Schuurmans AAAI 5, 2005 | 217 | 2005 |
| Regularity and conformity: Location prediction using heterogeneous mobility data Y Wang, NJ Yuan, D Lian, L Xu, X Xie, E Chen, Y Rui Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 192 | 2015 |
| Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective Y Li, L Xu, F Tian, L Jiang, X Zhong, E Chen | 192 | 2015 |
| Non-autoregressive neural machine translation with enhanced decoder input J Guo, X Tan, D He, T Qin, L Xu, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 33, 3723-3730, 2019 | 135 | 2019 |
| Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels L Xu, Z Wang, Z Shen, Y Wang, E Chen Data Mining (ICDM), 2014 IEEE International Conference on, 1067-1072, 2014 | 118 | 2014 |
| Fast normalized cut with linear constraints L Xu, W Li, D Schuurmans Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009 | 117 | 2009 |
| Leveraging tagging for neighborhood-aware probabilistic matrix factorization L Wu, E Chen, Q Liu, L Xu, T Bao, L Zhang Proceedings of the 21st ACM international conference on Information and …, 2012 | 90 | 2012 |
| Community detection based on structure and content: a content propagation perspective L Liu, L Xu, Z Wangy, E Chen Data Mining (ICDM), 2015 IEEE International Conference on, 271-280, 2015 | 87 | 2015 |
| Relaxed clipping: A global training method for robust regression and classification M Yang, L Xu, M White, D Schuurmans, Y Yu Advances in neural information processing systems, 2532-2540, 2010 | 54 | 2010 |
| How images inspire poems: Generating classical chinese poetry from images with memory networks L Xu, L Jiang, C Qin, Z Wang, D Du arXiv preprint arXiv:1803.02994, 2018 | 45 | 2018 |
| Discriminative unsupervised learning of structured predictors L Xu, D Wilkinson, F Southey, D Schuurmans Proceedings of the 23rd international conference on Machine learning, 1057-1064, 2006 | 44 | 2006 |
| A Nonconvex Relaxation Approach for Rank Minimization Problems X Zhong, L Xu, Y Li, Z Liu, E Chen Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 36 | 2015 |
| Exploiting Task-Feature Co-Clusters in Multi-Task Learning L Xu, A Huang, J Chen, E Chen | 34 | 2015 |
| Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning L Xu, M White, D Schuurmans Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 33 | 2009 |
| Faster distributed deep net training: computation and communication decoupled stochastic gradient descent S Shen, L Xu, J Liu, X Liang, Y Cheng arXiv preprint arXiv:1906.12043, 2019 | 26 | 2019 |
| Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning H Ma, E Chen, L Xu, H Xiong Neurocomputing 92, 116-123, 2012 | 25 | 2012 |
| Temporally Adaptive Restricted Boltzmann Machine for Background Modeling L Xu, Y Li, Y Wang, E Chen Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 24 | 2015 |
