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All publications by Yan Liu
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Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams
Rose Yu, Dehua Cheng and Yan Liu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
Xinran He, Theodoros Rekatsinas, James Foulds, Lise Getoor and Yan Liu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Functional Subspace Clustering with Application to Time Series
Mohammad T. Bahadori, David Kale, Yingying Fan and Yan Liu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
Mohammad T. Bahadori, Qi (. Yu and Yan Liu
Advances in Neural Information Processing Systems 27, 2014


Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems
Sanjay Purushotham, Yan Liu and C.-c. J. Kuo
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling
Yan Liu, Taha Bahadori and Hongfei Li
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si, Jian Zhang and Richard D. Lawrence
Advances in Neural Information Processing Systems 24, 2011


Learning Temporal Causal Graphs for Relational Time-Series Analysis
Yan Liu, Alexandru Niculescu-mizil, Aurelie C. Lozano and Yong Lu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Topic-link LDA: joint models of topic and Author community
Yan Liu, Alexandru Niculescu-mizil and Wojciech Gryc
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Predicting protein folds with structural repeats using a chain graph model
Yan Liu, Eric P. Xing and Jaime G. Carbonell
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Kernel conditional random fields: representation and clique selection
John D. Lafferty, Xiaojin Zhu and Yan Liu
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004