Xuejun Liao

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Lawrence CarinDuke UniversityVerified email at duke.edu
David J BradyJ. W. and H. M. Goodman Endowed Chair in Optical Sciences, University of ArizonaVerified email at arizona.edu
Xin YuanWestlake University, Bell Labs, Duke University, Hong Kong Polytechnic UniversityVerified email at westlake.edu.cn
Jianbo YangTencentVerified email at duke.edu
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Engineer, Health AI Lead, Apple.Verified email at princeton.edu
Patrick LlullGoogle, Inc.Verified email at google.com
Balaji KrishnapuramIBM Watson HealthVerified email at us.ibm.com
David P. WilliamsPennsylvania State UniversityVerified email at psu.edu
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
Jonathan Shihao JiAssociate Professor at UConnVerified email at uconn.edu
Ronald ParrProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu
Shaobo HanNEC Labs America, Duke UniversityVerified email at nec-labs.com
Qinliang SuSchool of Computer Science and Engineering, Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Miao LiuIBMVerified email at ibm.com
Chunping WangFinvolutionVerified email at xinye.com
Esther Dura MartinezDepartamento de Informática, Universitat de ValènciaVerified email at uv.es
Badrinath Roysam, FIEEE, FAIMBEECE Department, University of HoustonVerified email at uh.edu
Xing Mengdaoxidian UniversityVerified email at xidian.edu.cn
Simon Lin Linwood, MD, MBAUniversity of California, RiversideVerified email at ucr.edu
Alexander J. HarteminkProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu

Xuejun Liao

SAS Institue Inc., Duke University

Verified email at duke.edu

Machine learning optimization reinforcement learning Bayesian methods signal/image processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multi-Task Learning for Classification with Dirichlet Process Priors. Y Xue, X Liao, L Carin, B Krishnapuram Journal of Machine Learning Research 8 (1), 2007	706	2007
Coded aperture compressive temporal imaging P Llull, X Liao, X Yuan, J Yang, D Kittle, L Carin, G Sapiro, DJ Brady Optics express 21 (9), 10526-10545, 2013	494	2013
Logistic regression with an auxiliary data source X Liao, Y Xue, L Carin Proceedings of the 22nd international conference on Machine learning, 505-512, 2005	254	2005
Video compressive sensing using Gaussian mixture models J Yang, X Yuan, X Liao, P Llull, DJ Brady, G Sapiro, L Carin IEEE Transactions on Image Processing 23 (11), 4863-4878, 2014	239	2014
Compressive sensing by learning a Gaussian mixture model from measurements J Yang, X Liao, X Yuan, P Llull, DJ Brady, G Sapiro, L Carin IEEE Transactions on Image Processing 24 (1), 106-119, 2014	212	2014
Generalized Alternating Projection for Weighted- Minimization with Applications to Model-Based Compressive Sensing X Liao, H Li, L Carin SIAM Journal on Imaging Sciences 7 (2), 797-823, 2014	181	2014
Identification of ground targets from sequential high-range-resolution radar signatures X Liao, P Runkle, L Carin IEEE Transactions on Aerospace and Electronic systems 38 (4), 1230-1242, 2002	177	2002
Semi-supervised multitask learning Q Liu, X Liao, L Carin Advances in Neural Information Processing Systems 20, 2007	150	2007
Low-cost compressive sensing for color video and depth X Yuan, P Llull, X Liao, J Yang, DJ Brady, G Sapiro, L Carin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	134	2014
On classification with incomplete data D Williams, X Liao, Y Xue, L Carin, B Krishnapuram IEEE transactions on pattern analysis and machine intelligence 29 (3), 427-436, 2007	133	2007
Circularly integrated bispectra: Novel shift invariant features for high-resolution radar target recognition Liao, Bao Electronics letters 34 (19), 1879-1880, 1998	102	1998
Multi-task Reinforcement Learning in Partially Observable Stochastic Environments. H Li, X Liao, L Carin Journal of Machine Learning Research 10 (5), 2009	94	2009
Incomplete-data classification using logistic regression D Williams, X Liao, Y Xue, L Carin Proceedings of the 22nd International Conference on Machine learning, 972-979, 2005	93	2005
Active learning for detection of mine-like objects in side-scan sonar imagery E Dura, Y Zhang, X Liao, GJ Dobeck, L Carin IEEE Journal of Oceanic Engineering 30 (2), 360-371, 2005	93	2005
Detection of buried targets via active selection of labeled data: Application to sensing subsurface UXO Y Zhang, X Liao, L Carin IEEE Transactions on Geoscience and Remote Sensing 42 (11), 2535-2543, 2004	83	2004
Variational Gaussian copula inference S Han, X Liao, D Dunson, L Carin Artificial Intelligence and Statistics, 829-838, 2016	70	2016
Detection of unexploded ordnance via efficient semisupervised and active learning Q Liu, X Liao, L Carin IEEE Transactions on Geoscience and Remote Sensing 46 (9), 2558-2567, 2008	70	2008
On the aspect sensitivity of high resolution range profiles and its reduction methods X Liao, Z Bao, M Xing Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037 …, 2000	69	2000
Adaptive temporal compressive sensing for video X Yuan, J Yang, P Llull, X Liao, G Sapiro, DJ Brady, L Carin 2013 IEEE International Conference on Image Processing, 14-18, 2013	68	2013
Application of the theory of optimal experiments to adaptive electromagnetic-induction sensing of buried targets X Liao, L Carin IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (8), 961-972, 2004	68	2004

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