2020

  1. Shaobo Han, Xuejun Liao, Yan Xu, Lawrence Carin, ''Supervised Learning with Generalized Alternating Projection'', 12th International Conference on Machine Learning and Computing, China, Feb. 15-17, 2020

2018

  1. Wang, R; Liao, X; Guo, J, ''Convolutional Gaussian Mixture Models with Application to Compressive Sensing'', IEEE Statistical Signal Processing Workshop, 2018, pp. 578-582

2017

  1. Qinliang Su, Xuejun Liao, Lawrence Carin, "A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks", Neural Information Processing Systems (NIPS), 2017

2016

  1. Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin, "Unsupervised Learning with Truncated Gaussian Graphical Models", The Thirty-First National Conference on Artificial Intelligence (AAAI), 2016
  2. Xin Yuan, Xuejun Liao, Patrick Llull, David Brady, and Lawrence Carin, "Efficient patch-based approach for compressive depth imaging", Applied Optics, Vol. 55, Issue 27, pp. 7556-7564, 2016
  3. Zhao Song, Ronald Parr, Xuejun Liao, and Lawrence Carin, "Linear Feature Encoding for Reinforcement Learning", Neural Information Processing Systems (NIPS), 2016
  4. Qinliang Su, Xuejun Liao, Changyou Chen, and Lawrence Carin, "Nonlinear Statistical Learning with Truncated Gaussian Graphical Models", Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016
  5. Alex Mrozack, Xuejun Liao, Sondre Skatter, and Lawrence Carin, "Partially observable Markov decision processes for risk-based screening", Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 2016

2015

  1. Shaobo Han, Xuejun Liao, David. B. Dunson, and Lawrence Carin, "Variational Gaussian Copula Inference", The 19th International Conference on Artificial Intelligence and Statistics (AISTAT), 2016
  2. Song Zhao, Xuejun Liao, and Lawrence Carin, "Solving DEC-POMDPs by Expectation Maximization of Value Functions", AAAI Spring Symposium on Challenges and Opportunities in Multi-agent Learning for the Real World, 2016
  3. Miao Liu, C. Amato, Xuejun Liao, Lawrence Carin, J. P. How, "Stick-Breaking Policy Learning in Dec-POMDPs", Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015
  4. Jjianbo Yang, Xuejun Liao, Xin Yuan, Patrick Llull, David J. Brady, Guillermo Sapiro, and Lawrence Carin, "Compressive Sensing by Learning a Gaussian Mixture Model from Measurements", IEEE Transactions on Image Processing, Vol. 24 , Issue 1, pages 106-119, 2015

2014

  1. Jianbo Yang, Xuejun Liao, Minhua Chen, and Lawrence Carin, "Compressive Sensing of Signals from a GMM with Sparse Precision Matrices", Neural Information Processing Systems (NIPS), 2014
  2. Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, David J. Brady, Guillermo Sapiro, and Lawrence Carin, "Video Compressive Sensing Using Gaussian Mixture Models", IEEE Transactions on Image Processing, Vol. 23, Issue 11, pages 4863-4878, 2014
  3. Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, Patrick Sapiro, David J. Brady, and Lawrence Carin, " Low-Cost Compressive Sensing for Color Video and Depth", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
  4. Xuejun Liao, Hui Li, and Lawrence Carin, "Generalized Alternating Projection for Weighted-L2,1 Minimization with Applications to Model-based Compressive Sensing", SIAM Journal on Imaging Sciences, Vol. 7, No. 2, pp. 797-823     [MATLAB code]   (Note: this code is a simple demo of 1-D reconstruction with L1 minimization)

2013

  1. Shaobo Han, Xuejun Liao, and Lawrence Carin, " Integrated Non-Factorized Variational Inference ", NIPS 2013
  2. Miao Liu, Xuejun Liao, and Lawrence Carin, " Online Expectation Maximization for Reinforcement Learning in POMDPs ", The 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013.
  3. Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, Guillermo Sapiro, David J. Brady, and Lawrence Carin, " Gaussian Mixture Models for Video Compressive Sensing", IEEE ICIP, 2013
  4. Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, and Lawrence Carin, " Adaptive Temporal Compressive Sensing for Video", IEEE ICIP, 2013
  5. Patrick Llull, Xuejun Liao, Xin Yuan, Jianbo Yang, David Kittle, Lawrence Carin, Guillermo Sapiro, David J. Brady, " Coded aperture compressive temporal imaging ", Optics Express, Vol. 21, Issue 9, pp. 10526-10545

2012

  1. Shaobo Han, Xuejun Liao, and Lawrence Carin, " Cross-Domain Multitask Learning with Latent Probit Models ", The 29th International Conference on Machine Learning (ICML), 2012.

2011

  1. Miao Liu, Xuejun Liao, and Lawrence Carin, " The Infinite Regionalized Policy Representation", The 28th International Conference on Machine Learning (ICML), 2011.
  2. Hui Li, Xuejun Liao, and Lawrence Carin, "Nonparametric Bayesian Feature Selection for Multi-task Learning", IEEE ICASSP 2011, pages 2236-2239.
  3. Chunping Wang, Xuejun Liao, David Dunson and Lawrence Carin, "Classification with Incomplete Data Using Dirichlet Process Priors", Journal of Machine Learning Research, Vol 11, pages 3269-3311.

2010

  1. John Paisley, Xuejun Liao and Lawrence Carin, ''Active Learning and Basis Selection for Kernel-Based Linear Models: A Bayesian Perspective'', IEEE Transactions on Signal Processing, vol. 58, no 5, May 2010, pp. 2686-2700

2009

  1. Chenghui Cai, Xuejun Liao, and Lawrence Carin, "Learning to Explore and Exploit in POMDPs", Neural Information Processing Systems (NIPS), 2009
  2. Qiuhua Liu, Xuejun Liao, Hui Li, Jason R. Stack, and Lawrence Carin, "Semisupervised Multitask Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 31, No 6, June 2009, pages 1074 - 1086     [MATLAB code]
  3. Xuejun Liao and Lawrence Carin, "Migratory Logistic Regression for Learning Concept Drift Between Two Data Sets With Application to UXO Sensing", IEEE Transactions on Geoscience and Remote Sensing, Vol 47, No 5, May 2009, pages 1454-1466
  4. Hui Li, Xuejun Liao, and Lawrence Carin, "Multi-task Reinforcement Learning in Partially Observable Stochastic Environments", Journal of Machine Learning Research (JMLR), 10 (2009), 1131-1186
  5. J. R. Stack, G. Dobeck, Xuejun Liao, Lawrence Carin, "Kernel-Matching Pursuits With Arbitrary Loss Functions", IEEE Transactions on Neural Networks, Vol 20, No 3, March 2009, pages 395 - 405
  6. Hui Li, Xuejun Liao, and Lawrence Carin, "Active learning for semi-supervised multi-task learning", Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2006, pages 1637-1640

2008

  1. Qiuhua Liu, Xuejun Liao, and Lawrence Carin,, "Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning", IEEE Transactions on Geoscience and Remote Sensing, Vol 46, No 9, Sept. 2008, pages:2558 - 2567

2007

  1. Qiuhua Liu, Xuejun Liao, and Lawrence Carin, "Semi-Supervised Multitask Learning", Neural Information Processing Systems, 2007
  2. Xuejun Liao, Hui Li, and Lawrence Carin, "Quadratically Gated Mixture of Experts for Incomplete Data Classification", The 24rd International Conference on Machine Learning (ICML), 2007
  3. Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin, "Point-Based Policy Iteration", The Twenty-Second National Conference on Artificial Intelligence (AAAI), 2007
  4. Ya Xue, Xuejun Liao, Lawrence Carin, and Balaji Krishnapuram, "Multi-Task Learning for Classification with Dirichlet Process Priors", Journal of Machine Learning Research (JMLR), 8(Jan):35--63, 2007
  5. David Williams, Chunping Wang, Xuejun Liao, Lawrence Carin, " Classification of Unexploded Ordnance Using Incomplete Multi-Sensor Multiresolution Data", IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 7, Part 2, July 2007, pages 2364-2373
  6. Qiuhua Liu, Xuejun Liao, and Lawrence Carin, "Learning Classifiers on a Partially Labeled Data Manifold", Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2007
  7. Xuejun Liao, Yan Zhang, Lawrence Carin, "Plan-in-advance Active Learning of Classifiers", in A. Hero et al. (Edt), Foundations and Applications of Sensor Management, Springer, October 2007, pages 201-220
  8. Qiuhua Liu, Xuejun Liao, and Lawrence Carin, "Semi-Supervised Life-Long Learning with Application to Sensing", 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMPSAP), Dec. 2007, pages:1 - 4

2006

  1. David Williams, Xuejun Liao, Ya Xue, Lawrence Carin, B. Krishnapuram, " On Classification with Incomplete Data", IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(3):427-436
  2. Hui Li, Xuejun Liao, and Lawrence Carin, "Incremental Least Squares Policy Iteration for POMDPs", The Twenty-First National Conference on Artificial Intelligence (AAAI), 2006
  3. Hui Li, Xuejun Liao, and Lawrence Carin, "Region-Based Value Iteration for Partially Observable Markov Decision Processes", The 23rd International Conference on Machine Learning (ICML), 2006
  4. Hui Li, Xuejun Liao, and Lawrence Carin, "A Reward-Directed Bayesian Classifier", Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2006
  5. J.R. Stack, R. Arrieta, X. Liao, L. Carin, "A Kernel Machine Framework for Feature Optimization in Multi-frequency Sonar Imagery", OCEANS, 2006, Pages 1-6

2005

  1. Xuejun Liao and Lawrence Carin, "Radial Basis Function Network for Multi-task Learning", Neural Information Processing Systems, 2005
  2. Xuejun Liao, Ya Xue, and Lawrence Carin, "Logistic Regression with an Auxiliary Data Source", The 22nd International Conference on Machine Learning (ICML), 2005
  3. David Williams, Xuejun Liao, Ya Xue, and Lawrence Carin, "Incomplete-Data Classification using Logistic Regression", The 22nd International Conference on Machine Learning (ICML), 2005
  4. Shihao Ji, Xuejun Liao, and Lawrence Carin, "Adaptive Multi-Aspect Target Classification and Detection with Hidden Markov Models", IEEE Sensors Journal, 3(2):360-371, 2005
  5. Esther Dura, Yan Zhang, Xuejun Liao, Gerald Dobeck, and Lawrence Carin, "Active Learning for Detection of Mine-Like Objects in Side-Scan Sonar Imagery", IEEE Journal of Oceanic Engineering, 3(2):360-371, 2005
  6. Ya Xue, Xuejun Liao, Lawrence Carin, B. Krishnapuram, "Learning multiple classifiers with Dirichlet process mixture priors", NIPS Workshop on Open Problems and Challenges for Nonparametric Bayesian Methods in Machine Learning, 2005

2004

  1. Xuejun Liao and Lawrence Carin, "Application of the theory of optimal experiments to adaptive electromagnetic-induction sensing of buried targets", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.26, No. 8, pp. 961 - 972, 2004
  2. Yan Zhang, Xuejun Liao, and Lawrence Carin, "Detection of Buried Targets via Active Selection of Labeled Data: Application to Sensing Subsurface UXO", IEEE Trans. Geoscience and Remote Sensing, Vol. 42, No. 11, p.p. 2535-2543, 2004
  3. Masahiko Nishimoto, Xuejun Liao, and Lawrence Carin, "Target Identification from Multi-Aspect High-Range-Resolution Radar Signatures Using a Hidden Markov Model", IEICE Trans. Electron., Vol.E87-C, No.10, pp.1706-1714, 2004
  4. Shihao Ji, Xuejun Liao, and Lawrence Carin, "Adaptive Multi-Aspect Target Classification and Detection with Hidden Markov Models", Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. 2, pp. 125-128, 2004
  5. Yan Zhang, Xuejun Liao, Esther Dura, and Lawrence Carin, "Active Selection of Labeled Data for Target Detection", Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. 5, pp. 465-468, 2004
  6. Xuejun Liao, Hui Li, and Balaji Krishnapuram, "An M-ary KMP Classifier for Multi-aspect Target Classification", Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. 2, pp. 61-64, 2004

2003

  1. Xuejun Liao and Lawrence Carin, "ICA with Multiple Quadratic Constraints", Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2003, Vol. 5, p.p. 313-316, 2003
  2. Liu, Q., Krishnapuram, B., Pratapa, P., Liao, X., Hartemink, A., and Carin, L. (2003) "Identification of Differentially Expressed Proteins Using MALDI-TOF Mass Spectra", Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2003

2002

  1. Xuejun Liao, Paul Runkle and Lawrence Carin, "Identification of Ground Targets From Sequential High-Range-Resolution Radar Signatures", IEEE Trans. Aerospace and Electronic Systems, Vol. 38, No. 4, p.p. 1230-1242, Oct. 2002
  2. Masahiko Nishimoto, Xuejun Liao, and Lawrence Carin, "Target Identification from Multi-Aspect High-Range-Resolution Radar Signatures Using Hidden Markov Model", 4th Asia-Pacific Engineering Research Forum on Microwaves and Electromagnetic Theory, Fukuoka, Japan, November 16-17, 2002
  3. Simon M. Lin, Xuejun Liao, Patrick McConnell, Korkut Vata, Lawrence Carin, Pascal Goldschmidt (2002), "Using functional genomic units to corroborate user experiments with the Rosetta compendium", in Microarray data analysis II, ed. SM Lin and KF Johnson (Kluwer Academic), pp. 91-103
  4. Xuejun Liao and Lawrence Carin, "Constrained Independent Component Analysis of DNA Microarray Signals", Proceedings of Workshop on Genomic Signal Processing and Statistics (GENSIPS), Raleigh, NC, October 11-13, 2002
  5. Xuejun Liao and Lawrence Carin, "A New Algorithm for Independent Component Analysis With or Without Constraints", Proceedings of the Second IEEE Sensor Array and Multichannel (SAM) Signal Processing Workshop, Rosslyn, VA, August 4-6, 2002
  6. Xuejun Liao; Dasgupta, N.; Lin, S.M.; Carin, L., "ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals", Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol. 4, p.p.3880 -3883, 2002

2001

  1. Xuejun Liao; Runkle, P.; Yan Jiao; Carin, L., "Identification of ground targets from sequential HRR radar signatures", Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), p.p. 2897 -2900, vol.5, 2001
  2. Xuejun Liao and Zheng Bao, "Radar Target Recognition Based on Parameterized High Resolution Range Profiles", in Jun Shen, P S P Wang, and Tianxu Zhang (editors), Multispectral Image Processing and Pattern Recognition, World Scientific, Singapore, January 2001

2000 and earlier

  1. Xuejun Liao and Zheng Bao, "Signal Reconstruction from Accumulation of Bispectral Radial Slices", Optical Engineering, 39(8), p.p. 2065-2074, August 2000
  2. Xuejun Liao and Zheng Bao, "Radar Target Recognition Based on Parameterized High Resolution Range Profiles", International Journal of Pattern Recognition and Artificial Intelligence, Vol. 14, No. 7, p.p. 979-986, 2000
  3. Xuejun Liao, Zheng Bao, and Mengdao Xing, "On the Aspect Sensitivity of High Resolution Range Profiles and Its Reduction Methods", Record of the IEEE 2000 International Radar Conference, p.p.310 -315, 2000
  4. Xuejun Liao and Zheng Bao, "System Reconstruction from Accumulation of Polyspectra", Electronics Letters, Vol. 35, No. 15, pp. 1229-1230, 1999
  5. Xuejun Liao and Zheng Bao, "Circularly integrated Bispectra---Novel Shift Invariant Features For High-Resolution Radar Target Recognition", Electronics Letters, Vol. 34, No. 19, pp. 1879-1880,1998
  6. Xuejun Liao and Zheng Bao, "Two New Categories of Shift-Invariant Features of High-Resolution Radar Range Profiles", Proceedings of Fourth International Conference on Signal Processing Proceeding, p.p.1485-1488, Oct.12-16, 1998, Beijing, China
  7. Xuejun Liao and Zheng Bao, "Radar Target Recognition using Superresolution Range Profiles as Features", Proceedings of SPIE, Vol.3545, pp.397-400, 1998
  8. Xuejun Liao and Zheng Bao, "A Study of Classification Mechanism of Radar Target Range Profiles", Journal of Xidian University, vol.24, Sup., pp.68-74,1997 (in Chinese)