| 2012 | ||
|---|---|---|
| j2 | Haiping Ma, Enhong Chen, Linli Xu, Hui Xiong: Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning. Neurocomputing 92: 116-123 (2012) | |
| j1 | Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu: An efficient algorithm for maximal margin clustering. J. Global Optimization 52(1): 123-137 (2012) | |
| c10 | Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang: Leveraging tagging for neighborhood-aware probabilistic matrix factorization. CIKM 2012: 1854-1858 | |
| c9 | Linli Xu, Bo Li, Enhong Chen: Ensemble Pruning via Constrained Eigen-Optimization. ICDM 2012: 715-724 | |
| c8 | Junyuan Xie, Linli Xu, Enhong Chen: Image Denoising and Inpainting with Deep Neural Networks. NIPS 2012: 350-358 | |
| 2010 | ||
| c7 | Yaoliang Yu, Min Yang, Linli Xu, Martha White, Dale Schuurmans: Relaxed Clipping: A Global Training Method for Robust Regression and Classification. NIPS 2010: 2532-2540 | |
| 2009 | ||
| c6 | Linli Xu, Wenye Li, Dale Schuurmans: Fast normalized cut with linear constraints. CVPR 2009: 2866-2873 | |
| c5 | Linli Xu, Martha White, Dale Schuurmans: Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning. ICML 2009: 143 | |
| 2006 | ||
| c4 | Linli Xu, Koby Crammer, Dale Schuurmans: Robust Support Vector Machine Training via Convex Outlier Ablation. AAAI 2006: 536-542 | |
| c3 | Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans: Discriminative unsupervised learning of structured predictors. ICML 2006: 1057-1064 | |
| 2005 | ||
| c2 | Linli Xu, Dale Schuurmans: Unsupervised and Semi-Supervised Multi-Class Support Vector Machines. AAAI 2005: 904-910 | |
| 2004 | ||
| c1 | ||
Colors in the list of coauthors
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