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Xuejun Liao
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Journal Articles
- 2015
- [j16]Jianbo Yang, Xuejun Liao, Xin Yuan, Patrick Llull, David J. Brady, Guillermo Sapiro, Lawrence Carin:
Compressive Sensing by Learning a Gaussian Mixture Model From Measurements. IEEE Trans. Image Process. 24(1): 106-119 (2015) - 2014
- [j15]Xuejun Liao, Hui Li, Lawrence Carin:
Generalized Alternating Projection for Weighted-퓁2, 1 Minimization with Applications to Model-Based Compressive Sensing. SIAM J. Imaging Sci. 7(2): 797-823 (2014) - [j14]Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, David J. Brady, Guillermo Sapiro, Lawrence Carin:
Video Compressive Sensing Using Gaussian Mixture Models. IEEE Trans. Image Process. 23(11): 4863-4878 (2014) - 2010
- [j13]Chunping Wang, Xuejun Liao, Lawrence Carin, David B. Dunson:
Classification with Incomplete Data Using Dirichlet Process Priors. J. Mach. Learn. Res. 11: 3269-3311 (2010) - [j12]John W. Paisley, Xuejun Liao, Lawrence Carin:
Active learning and basis selection for kernel-based linear models: a Bayesian perspective. IEEE Trans. Signal Process. 58(5): 2686-2700 (2010) - 2009
- [j11]Hui Li, Xuejun Liao, Lawrence Carin:
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments. J. Mach. Learn. Res. 10: 1131-1186 (2009) - [j10]Qiuhua Liu, Xuejun Liao, Hui Li, Jason R. Stack, Lawrence Carin:
Semisupervised Multitask Learning. IEEE Trans. Pattern Anal. Mach. Intell. 31(6): 1074-1086 (2009) - [j9]Xuejun Liao, Lawrence Carin:
Migratory Logistic Regression for Learning Concept Drift Between Two Data Sets With Application to UXO Sensing. IEEE Trans. Geosci. Remote. Sens. 47(5): 1454-1466 (2009) - [j8]Jason R. Stack, Gerald J. Dobeck, Xuejun Liao, Lawrence Carin:
Kernel-Matching Pursuits With Arbitrary Loss Functions. IEEE Trans. Neural Networks 20(3): 395-405 (2009) - 2008
- [j7]Qiuhua Liu, Xuejun Liao, Lawrence Carin:
Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning. IEEE Trans. Geosci. Remote. Sens. 46(9): 2558-2567 (2008) - 2007
- [j6]Ya Xue, Xuejun Liao, Lawrence Carin, Balaji Krishnapuram:
Multi-Task Learning for Classification with Dirichlet Process Priors. J. Mach. Learn. Res. 8: 35-63 (2007) - [j5]David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, Balaji Krishnapuram:
On Classification with Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 427-436 (2007) - [j4]David Williams, Chunping Wang, Xuejun Liao, Lawrence Carin:
Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data. IEEE Trans. Geosci. Remote. Sens. 45(7-2): 2364-2373 (2007) - 2004
- [j3]Xuejun Liao, Lawrence Carin:
Application of the Theory of Optimal Experiments to Adaptive Electromagnetic-Induction Sensing of Buried Targets. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 961-972 (2004) - [j2]Yan Zhang, Xuejun Liao, Lawrence Carin:
Detection of buried targets via active selection of labeled data: application to sensing subsurface UXO. IEEE Trans. Geosci. Remote. Sens. 42(11): 2535-2543 (2004) - 2000
- [j1]Xuejun Liao, Zheng Bao:
Radar Target Recognition Based on Parameterized High Resolution Range Profiles. Int. J. Pattern Recognit. Artif. Intell. 14(7): 979-986 (2000)
Conference and Workshop Papers
- 2021
- [c36]Xuejun Liao, Patrick Koch, Shunping Huang, Yan Xu:
Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization. KDD 2021: 1006-1016 - 2018
- [c35]Ren Wang, Xuejun Liao, Jingbo Guo:
Convolutional Gaussian Mixture Models with Application to Compressive Sensing. SSP 2018: 298-302 - 2017
- [c34]Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin:
Unsupervised Learning with Truncated Gaussian Graphical Models. AAAI 2017: 2583-2589 - [c33]Qinliang Su, Xuejun Liao, Lawrence Carin:
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. NIPS 2017: 4486-4495 - 2016
- [c32]Zhao Song, Xuejun Liao, Lawrence Carin:
Solving DEC-POMDPs by Expectation Maximization of Value Function. AAAI Spring Symposia 2016 - [c31]Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin:
Variational Gaussian Copula Inference. AISTATS 2016: 829-838 - [c30]Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin:
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. ICML 2016: 1948-1957 - [c29]Zhao Song, Ronald E. Parr, Xuejun Liao, Lawrence Carin:
Linear Feature Encoding for Reinforcement Learning. NIPS 2016: 4224-4232 - 2015
- [c28]Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How:
Stick-Breaking Policy Learning in Dec-POMDPs. IJCAI 2015: 2011-2018 - 2014
- [c27]Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, David J. Brady, Guillermo Sapiro, Lawrence Carin:
Low-Cost Compressive Sensing for Color Video and Depth. CVPR 2014: 3318-3325 - [c26]Jianbo Yang, Xuejun Liao, Minhua Chen, Lawrence Carin:
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices. NIPS 2014: 3194-3202 - 2013
- [c25]Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Adaptive temporal compressive sensing for video. ICIP 2013: 14-18 - [c24]Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Gaussian mixture model for video compressive sensing. ICIP 2013: 19-23 - [c23]Miao Liu, Xuejun Liao, Lawrence Carin:
Online Expectation Maximization for Reinforcement Learning in POMDPs. IJCAI 2013: 1501-1507 - [c22]Shaobo Han, Xuejun Liao, Lawrence Carin:
Integrated Non-Factorized Variational Inference. NIPS 2013: 2481-2489 - 2012
- [c21]Shaobo Han, Xuejun Liao, Lawrence Carin:
Cross-Domain Multitask Learning with Latent Probit Models. ICML 2012 - 2011
- [c20]Hui Li, Xuejun Liao, Lawrence Carin:
Nonparametric Bayesian feature selection for multi-task learning. ICASSP 2011: 2236-2239 - [c19]Miao Liu, Xuejun Liao, Lawrence Carin:
The Infinite Regionalized Policy Representation. ICML 2011: 769-776 - 2009
- [c18]Hui Li, Xuejun Liao, Lawrence Carin:
Active learning for semi-supervised multi-task learning. ICASSP 2009: 1637-1640 - [c17]Chenghui Cai, Xuejun Liao, Lawrence Carin:
Learning to Explore and Exploit in POMDPs. NIPS 2009: 198-206 - 2007
- [c16]Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin:
Point-Based Policy Iteration. AAAI 2007: 1243-1249 - [c15]Qiuhua Liu, Xuejun Liao, Lawrence Carin:
Learning Classifiers on a Partially Labeled Data Manifold. ICASSP (2) 2007: 621-624 - [c14]Xuejun Liao, Hui Li, Lawrence Carin:
Quadratically gated mixture of experts for incomplete data classification. ICML 2007: 553-560 - [c13]Qiuhua Liu, Xuejun Liao, Lawrence Carin:
Semi-Supervised Multitask Learning. NIPS 2007: 937-944 - 2006
- [c12]Hui Li, Xuejun Liao, Lawrence Carin:
Incremental Least Squares Policy Iteration for POMDPs. AAAI 2006: 1167-1172 - [c11]Hui Li, Xuejun Liao, Lawrence Carin:
A Reward-Directed Bayesian Classifier. ICASSP (5) 2006: 613-616 - [c10]Hui Li, Xuejun Liao, Lawrence Carin:
Region-based value iteration for partially observable Markov decision processes. ICML 2006: 561-568 - 2005
- [c9]Xuejun Liao, Ya Xue, Lawrence Carin:
Logistic regression with an auxiliary data source. ICML 2005: 505-512 - [c8]David Williams, Xuejun Liao, Ya Xue, Lawrence Carin:
Incomplete-data classification using logistic regression. ICML 2005: 972-979 - [c7]Xuejun Liao, Lawrence Carin:
Radial Basis Function Network for Multi-task Learning. NIPS 2005: 792-802 - 2004
- [c6]Xuejun Liao, Hui Li, Balaji Krishnapuram:
An M-ary KMP classifier for multi-aspect target classification. ICASSP (2) 2004: 61-64 - [c5]Shihao Ji, Xuejun Liao, Lawrence Carin:
Adaptive multi-aspect target classification and detection with hidden Markov models. ICASSP (2) 2004: 125-128 - [c4]Yan Zhang, Xuejun Liao, Esther Durá, Lawrence Carin:
Active selection of labeled data for target detection. ICASSP (5) 2004: 465-468 - 2003
- [c3]Xuejun Liao, Lawrence Carin:
ICA with multiple quadratic constraints. ICASSP (5) 2003: 313-316 - 2002
- [c2]Xuejun Liao, Nilanjan Dasgupta, Simon M. Lin, Lawrence Carin:
ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals. ICASSP 2002: 3880-3883 - 2001
- [c1]Xuejun Liao, Paul Runkle, Yan Jiao, Lawrence Carin:
Identification of ground targets from sequential HRR radar signatures. ICASSP 2001: 2897-2900
Informal and Other Publications
- 2017
- [i7]Qinliang Su, Xuejun Liao, Lawrence Carin:
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks. CoRR abs/1709.06123 (2017) - 2016
- [i6]Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin:
Unsupervised Learning with Truncated Gaussian Graphical Models. CoRR abs/1611.04920 (2016) - 2015
- [i5]Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How:
Stick-Breaking Policy Learning in Dec-POMDPs. CoRR abs/1505.00274 (2015) - [i4]Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin:
Variational Gaussian Copula Inference. CoRR abs/1506.05860 (2015) - 2014
- [i3]Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Low-Cost Compressive Sensing for Color Video and Depth. CoRR abs/1402.6932 (2014) - 2013
- [i2]Patrick Llull, Xuejun Liao, Xin Yuan, Jianbo Yang, David S. Kittle, Lawrence Carin, Guillermo Sapiro, David J. Brady:
Coded aperture compressive temporal imaging. CoRR abs/1302.2575 (2013) - [i1]Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin:
Adaptive Temporal Compressive Sensing for Video. CoRR abs/1302.3446 (2013)
Coauthor Index
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