| Image denoising and inpainting with deep neural networks J Xie, L Xu, E Chen Advances in neural information processing systems 25, 2012 | 1969 | 2012 |
| Maximum margin clustering L Xu, J Neufeld, B Larson, D Schuurmans Advances in neural information processing systems 17, 2004 | 652 | 2004 |
| Unsupervised and semi-supervised multi-class support vector machines L Xu, D Schuurmans AAAI 40, 50, 2005 | 222 | 2005 |
| Robust support vector machine training via convex outlier ablation L Xu, K Crammer, D Schuurmans AAAI 6, 536-542, 2006 | 217 | 2006 |
| 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 | 197 | 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 | 194 | 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 (01), 3723-3730, 2019 | 141 | 2019 |
| Fast normalized cut with linear constraints L Xu, W Li, D Schuurmans 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2866-2873, 2009 | 127 | 2009 |
| Learning low-rank label correlations for multi-label classification with missing labels L Xu, Z Wang, Z Shen, Y Wang, E Chen 2014 IEEE international conference on data mining, 1067-1072, 2014 | 125 | 2014 |
| Fine-tuning by curriculum learning for non-autoregressive neural machine translation J Guo, X Tan, L Xu, T Qin, E Chen, TY Liu Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7839-7846, 2020 | 94 | 2020 |
| Empowering diffusion models on the embedding space for text generation Z Gao, J Guo, X Tan, Y Zhu, F Zhang, J Bian, L Xu Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 92 | 2024 |
| Community detection based on structure and content: A content propagation perspective L Liu, L Xu, Z Wangy, E Chen 2015 IEEE international conference on data mining, 271-280, 2015 | 89 | 2015 |
| 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 | 87 | 2012 |
| Jointly masked sequence-to-sequence model for non-autoregressive neural machine translation J Guo, L Xu, E Chen Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 85 | 2020 |
| Incorporating bert into parallel sequence decoding with adapters J Guo, Z Zhang, L Xu, HR Wei, B Chen, E Chen Advances in Neural Information Processing Systems 33, 10843-10854, 2020 | 80 | 2020 |
| 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 23, 2010 | 54 | 2010 |
| Addressing representation collapse in vector quantized models with one linear layer Y Zhu, B Li, Y Xin, Z Xia, L Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025 | 50 | 2025 |
| How images inspire poems: Generating classical Chinese poetry from images with memory networks L Xu, L Jiang, C Qin, Z Wang, D Du Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 49 | 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 | 46 | 2006 |
| A nonconvex relaxation approach for rank minimization problems X Zhong, L Xu, Y Li, Z Liu, E Chen Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 39 | 2015 |
Dale SchuurmansGoogle DeepMind & University of AlbertaVerified email at ualberta.ca
