Volgen
Linli Xu
Linli Xu
Geverifieerd e-mailadres voor ustc.edu.cn
Titel
Geciteerd door
Geciteerd door
Jaar
Image denoising and inpainting with deep neural networks
J Xie, L Xu, E Chen
Advances in Neural Information Processing Systems, 341-349, 2012
17882012
Maximum margin clustering
L Xu, J Neufeld, B Larson, D Schuurmans
Advances in neural information processing systems, 1537-1544, 2004
6252004
Unsupervised and semi-supervised multi-class support vector machines
L Xu, D Schuurmans
AAAI 5, 2005
2192005
Robust support vector machine training via convex outlier ablation
L Xu, K Crammer, D Schuurmans
AAAI 6, 536-542, 2006
2132006
Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective
Y Li, L Xu, F Tian, L Jiang, X Zhong, E Chen
1882015
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
1862015
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
1252019
Fast normalized cut with linear constraints
L Xu, W Li, D Schuurmans
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009
1142009
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
1072014
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
902012
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
802015
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
542010
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
442006
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
422018
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
342015
Exploiting Task-Feature Co-Clusters in Multi-Task Learning
L Xu, A Huang, J Chen, E Chen
322015
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
312009
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
262019
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
252012
SPINE: Structural identity preserved inductive network embedding
J Guo, L Xu, E Chen
arXiv preprint arXiv:1802.03984, 2018
232018
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Artikelen 1–20