Xuejun Liao

According to our database, Xuejun Liao authored at least 53 papers between 2000 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization.

Xuejun Liao, Patrick Koch, Shunping Huang, Yan Xu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2018

Convolutional Gaussian Mixture Models with Application to Compressive Sensing.

Ren Wang, Xuejun Liao, Jingbo Guo

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks.

Qinliang Su, Xuejun Liao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Unsupervised Learning with Truncated Gaussian Graphical Models.

Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Linear Feature Encoding for Reinforcement Learning.

Zhao Song, Ronald E. Parr, Xuejun Liao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Nonlinear Statistical Learning with Truncated Gaussian Graphical Models.

Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin

Proceedings of the 33nd International Conference on Machine Learning, 2016

Variational Gaussian Copula Inference.

Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Solving DEC-POMDPs by Expectation Maximization of Value Function.

Zhao Song, Xuejun Liao, Lawrence Carin

Proceedings of the 2016 AAAI Spring Symposia, 2016

2015

Compressive Sensing by Learning a Gaussian Mixture Model From Measurements.

Jianbo Yang, Xuejun Liao, Xin Yuan, Patrick Llull, David J. Brady, Guillermo Sapiro, Lawrence Carin

IEEE Trans. Image Process., 2015

Stick-Breaking Policy Learning in Dec-POMDPs.

Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Video Compressive Sensing Using Gaussian Mixture Models.

Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, David J. Brady, Guillermo Sapiro, Lawrence Carin

IEEE Trans. Image Process., 2014

Generalized Alternating Projection for Weighted-퓁_{2, 1} Minimization with Applications to Model-Based Compressive Sensing.

Xuejun Liao, Hui Li, Lawrence Carin

SIAM J. Imaging Sci., 2014

Compressive Sensing of Signals from a GMM with Sparse Precision Matrices.

Jianbo Yang, Xuejun Liao, Minhua Chen, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Low-Cost Compressive Sensing for Color Video and Depth.

Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, David J. Brady, Guillermo Sapiro, Lawrence Carin

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Coded aperture compressive temporal imaging

Patrick Llull, Xuejun Liao, Xin Yuan, Jianbo Yang, David S. Kittle, Lawrence Carin, Guillermo Sapiro, David J. Brady

CoRR, 2013

Integrated Non-Factorized Variational Inference.

Shaobo Han, Xuejun Liao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Online Expectation Maximization for Reinforcement Learning in POMDPs.

Miao Liu, Xuejun Liao, Lawrence Carin

Proceedings of the IJCAI 2013, 2013

Adaptive temporal compressive sensing for video.

Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin

Proceedings of the IEEE International Conference on Image Processing, 2013

Gaussian mixture model for video compressive sensing.

Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, Guillermo Sapiro, David J. Brady, Lawrence Carin

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Cross-Domain Multitask Learning with Latent Probit Models.

Shaobo Han, Xuejun Liao, Lawrence Carin

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

The Infinite Regionalized Policy Representation.

Miao Liu, Xuejun Liao, Lawrence Carin

Proceedings of the 28th International Conference on Machine Learning, 2011

Nonparametric Bayesian feature selection for multi-task learning.

Hui Li, Xuejun Liao, Lawrence Carin

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Active learning and basis selection for kernel-based linear models: a Bayesian perspective.

John W. Paisley, Xuejun Liao, Lawrence Carin

IEEE Trans. Signal Process., 2010

Classification with Incomplete Data Using Dirichlet Process Priors.

Chunping Wang, Xuejun Liao, Lawrence Carin, David B. Dunson

J. Mach. Learn. Res., 2010

2009

Kernel-Matching Pursuits With Arbitrary Loss Functions.

Jason R. Stack, Gerald J. Dobeck, Xuejun Liao, Lawrence Carin

IEEE Trans. Neural Networks, 2009

Migratory Logistic Regression for Learning Concept Drift Between Two Data Sets With Application to UXO Sensing.

Xuejun Liao, Lawrence Carin

IEEE Trans. Geosci. Remote. Sens., 2009

Semisupervised Multitask Learning.

Qiuhua Liu, Xuejun Liao, Hui Li, Jason R. Stack, Lawrence Carin

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Multi-task Reinforcement Learning in Partially Observable Stochastic Environments.

Hui Li, Xuejun Liao, Lawrence Carin

J. Mach. Learn. Res., 2009

Learning to Explore and Exploit in POMDPs.

Chenghui Cai, Xuejun Liao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Active learning for semi-supervised multi-task learning.

Hui Li, Xuejun Liao, Lawrence Carin

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning.

Qiuhua Liu, Xuejun Liao, Lawrence Carin

IEEE Trans. Geosci. Remote. Sens., 2008

2007

Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data.

David Williams, Chunping Wang, Xuejun Liao, Lawrence Carin

IEEE Trans. Geosci. Remote. Sens., 2007

On Classification with Incomplete Data.

David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram

IEEE Trans. Pattern Anal. Mach. Intell., 2007

Multi-Task Learning for Classification with Dirichlet Process Priors.

Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram

J. Mach. Learn. Res., 2007

Semi-Supervised Multitask Learning.

Qiuhua Liu, Xuejun Liao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Quadratically gated mixture of experts for incomplete data classification.

Xuejun Liao, Hui Li, Lawrence Carin

Proceedings of the Machine Learning, 2007

Learning Classifiers on a Partially Labeled Data Manifold.

Qiuhua Liu, Xuejun Liao, Lawrence Carin

Proceedings of the IEEE International Conference on Acoustics, 2007

Point-Based Policy Iteration.

Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Region-based value iteration for partially observable Markov decision processes.

Hui Li, Xuejun Liao, Lawrence Carin

Proceedings of the Machine Learning, 2006

A Reward-Directed Bayesian Classifier.

Hui Li, Xuejun Liao, Lawrence Carin

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Incremental Least Squares Policy Iteration for POMDPs.

Hui Li, Xuejun Liao, Lawrence Carin

Proceedings of the Proceedings, 2006

2005

Radial Basis Function Network for Multi-task Learning.

Xuejun Liao, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Incomplete-data classification using logistic regression.

David Williams, Xuejun Liao, Ya Xue, Lawrence Carin

Proceedings of the Machine Learning, 2005

Logistic regression with an auxiliary data source.

Xuejun Liao, Ya Xue, Lawrence Carin

Proceedings of the Machine Learning, 2005

2004

Detection of buried targets via active selection of labeled data: application to sensing subsurface UXO.

Yan Zhang, Xuejun Liao, Lawrence Carin

IEEE Trans. Geosci. Remote. Sens., 2004

Application of the Theory of Optimal Experiments to Adaptive Electromagnetic-Induction Sensing of Buried Targets.

Xuejun Liao, Lawrence Carin

IEEE Trans. Pattern Anal. Mach. Intell., 2004

Active selection of labeled data for target detection.

Yan Zhang, Xuejun Liao, Esther Durá, Lawrence Carin

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

An M-ary KMP classifier for multi-aspect target classification.

Xuejun Liao, Hui Li, Balaji Krishnapuram

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Adaptive multi-aspect target classification and detection with hidden Markov models.

Shihao Ji, Xuejun Liao, Lawrence Carin

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

ICA with multiple quadratic constraints.

Xuejun Liao, Lawrence Carin

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals.

Xuejun Liao, Nilanjan Dasgupta, Simon M. Lin, Lawrence Carin

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Identification of ground targets from sequential HRR radar signatures.

Xuejun Liao, Paul Runkle, Yan Jiao, Lawrence Carin

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

Radar Target Recognition Based on Parameterized High Resolution Range Profiles.

Xuejun Liao, Zheng Bao

Int. J. Pattern Recognit. Artif. Intell., 2000