Linli Xu

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Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong and Enhong Chen. Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI-15). [pdf]

Zaiyi Chen, Linli Xu and Enhong Chen. Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction. In Proceedings of the 2015 SIAM International Conference on Data Mining (SDM-15). [pdf]

Linli Xu, Aiqing Huang, Jianhui Chen and Enhong Chen. Exploiting Task-Feature Co-Clusters in Multi-Task Learning. In Proceedings of the 29th National Conference on Artificial Intelligence (AAAI-15). [pdf]

Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu and Enhong Chen. A Nonconvex Relaxation Approach for Rank Minimization Problems. In Proceedings of the 29th National Conference on Artificial Intelligence (AAAI-15). [pdf]

Linli Xu, Yitan Li, Yubo Wang and Enhong Chen. Temporally Adaptive Restricted Boltzmann Machine for Background Modeling. In Proceedings of the 29th National Conference on Artificial Intelligence (AAAI-15). [pdf]

Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang and Enhong Chen. Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM-14). [pdf]

Aiqing Huang, Linli Xu, Yitan Li and Enhong Chen. Robust Dynamic Trajectory Regression on Road Networks: A Multi-Task Learning Framework. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM-14). [pdf]

Yubo Wang, Linli Xu, Yucheng Chen and Hao Wang. A Scalable Approach for General Correlation Clustering. In Proceedings of the 9th International Conference on Advanced Data Mining and Applications (ADMA-13). [pdf]

Tianbao Yang, Prakash Mandaym Comar and Linli Xu. Community Detection by Popularity Based Models for Authored Networked Data. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM-13). [pdf]

Linli Xu, Bo Li and Enhong Chen. Ensemble Pruning via Constrained Eigen-Optimization. In Proceedings of the 12th IEEE Conference on Data Mining (ICDM-12). [pdf]

Junyuan Xie, Linli Xu and Enhong Chen. Image Denoising and Inpainting with Deep Neural Networks. In Advances in Neural Information Processing Systems (NIPS-12). [pdf]

Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao and Lei Zhang. Leveraging Tagging for Neighborhood-aware Probabilistic Matrix Factorization. In Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM-12). [pdf]

Haiping Ma, Enhong Chen, Hui Xiong and Linli Xu. Capturing Correlations of Multiple Labels: A Generative Probabilistic Model for Multi-label Text Data. In Neurocomputing 2012.

Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans. and Linli Xu. An Efficient Algorithm for Maximal Margin Clustering. In Journal of Global Optimization. [pdf]

Yaoliang Yu, Min Yang, Linli Xu, Martha White and Dale Schuurmans. Relaxed Clipping: A Global Training Method for Robust Regression and Classification. In Advances in Neural Information Processing Systems (NIPS) 23. [pdf]

Linli Xu, Martha White and Dale Schuurmans. Optimal Reverse Prediction: A Unified Perspective on Supervised, Unsupervised and Semi-supervised Learning. In Proceedings of the 26th International Conference on Machine Learning (ICML-09). Best Overall Paper Honorable Mention [pdf]

Linli Xu, Wenye Li and Dale Schuurmans. Fast Normalized Cut with Linear Constraints. In Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR-09). [pdf]

Linli Xu (2007). Convex Large Margin Training Techniques for Unsupervised, Semi-supervised and Robust Support Vector Machines. Ph.D. Thesis, School of Computer Science, University of Waterloo.

Linli Xu, Koby Crammer and Dale Schuurmans (2006). Robust Support Vector Machine Training via Convex Outlier Ablation. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06). [pdf]

Linli Xu, Dana Wilkinson, Finnegan Southey and Dale Schuurmans (2006). Discriminative Unsupervised Learning of Structured Predictors. In Proceedings of the 23rd International Conference on Machine Learning (ICML-06). [pdf]

Linli Xu, Dale Schuurmans (2005). Unsupervised and Semi-supervised Multi-class Support Vector Machines. In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05). [pdf]

Linli Xu, James Neufeld, Bryce Larson and Dale Schuurmans (2004). Maximum Margin Clustering. In Advances in Neural Information Processing Systems (NIPS) 17. [pdf]