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Qiang Wu - Publications

Affiliations: 
Michigan State University, East Lansing, MI 
Area:
Statistical learning
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Chirstmann A, Wu Q, Zhou D. Preface to the special issue on analysis in machine learning and data science Communications On Pure and Applied Analysis. 19. DOI: 10.3934/Cpaa.2020171  0.309
2020 Tong H, Wu Q. Moving quantile regression Journal of Statistical Planning and Inference. 205: 46-63. DOI: 10.1016/J.Jspi.2019.06.003  0.363
2020 Feng Y, Wu Q. Learning under (1 + ϵ)-moment conditions Applied and Computational Harmonic Analysis. 49: 495-520. DOI: 10.1016/J.Acha.2020.05.009  0.337
2020 Hu T, Wu Q, Zhou D. Distributed kernel gradient descent algorithm for minimum error entropy principle Applied and Computational Harmonic Analysis. 49: 229-256. DOI: 10.1016/J.Acha.2019.01.002  0.312
2019 Cui S, Wu Q, West J, Bai J. Machine learning-based microarray analyses indicate low-expression genes might collectively influence PAH disease. Plos Computational Biology. 15: e1007264. PMID 31404060 DOI: 10.1371/journal.pcbi.1007264  0.329
2016 Yang X, Wu Q, Zou J, Hong D. Spatial Regularization for Multitask Learning and Application in fMRI Data Analysis British Journal of Mathematics & Computer Science. 14: 1-13. DOI: 10.9734/Bjmcs/2016/23829  0.319
2016 Micchelli CA, Pontil M, Wu Q, Zhou D. Error bounds for learning the kernel Analysis and Applications. 14: 849-868. DOI: 10.1142/S0219530516400054  0.36
2016 Fan J, Hu T, Wu Q, Zhou DX. Consistency analysis of an empirical minimum error entropy algorithm Applied and Computational Harmonic Analysis. 41: 164-189. DOI: 10.1016/j.acha.2014.12.005  0.34
2015 Sun H, Wu Q. Sparse Representation in Kernel Machines. Ieee Transactions On Neural Networks and Learning Systems. PMID 25643413 DOI: 10.1109/TNNLS.2014.2375209  0.357
2015 Hu T, Fan J, Wu Q, Zhou D. Regularization schemes for minimum error entropy principle Analysis and Applications. 13: 437-455. DOI: 10.1142/S0219530514500110  0.355
2014 Hu X, Wang Y, Wu Q. Multiple Authors Detection: A Quantitative Analysis Of Dream Of The Red Chamber Advances in Adaptive Data Analysis. 6: 1450012. DOI: 10.1142/S1793536914500125  0.307
2013 Wu Q, Liang F, Mukherjee S. Kernel sliced inverse regression: Regularization and consistency Abstract and Applied Analysis. 2013. DOI: 10.1155/2013/540725  0.553
2013 Sun H, Wu Q. Indefinite Kernel Network With Dependent Sampling Analysis and Applications. 11: 1350020. DOI: 10.1142/S0219530513500206  0.343
2012 Ying Y, Wu Q, Campbell C. Learning the coordinate gradients Advances in Computational Mathematics. 37: 355-378. DOI: 10.1007/S10444-011-9211-6  0.352
2012 Wang Y, Wu Q. Sparse PCA by iterative elimination algorithm Advances in Computational Mathematics. 36: 137-151. DOI: 10.1007/S10444-011-9186-3  0.312
2011 Sun H, Wu Q. Least square regression with indefinite kernels and coefficient regularization Applied and Computational Harmonic Analysis. 30: 96-109. DOI: 10.1016/J.Acha.2010.04.001  0.367
2011 Guinney J, Wu Q, Mukherjee S. Estimating variable structure and dependence in multitask learning via gradients Machine Learning. 83: 265-287. DOI: 10.1007/S10994-010-5217-4  0.587
2010 Mukherjee S, Wu Q, Zhou DX. Learning gradients on manifolds Bernoulli. 16: 181-207. DOI: 10.3150/09-BEJ206  0.572
2010 Wu Q, Liang F, Mukherjee S. Localized sliced inverse regression Journal of Computational and Graphical Statistics. 19: 843-860. DOI: 10.1198/jcgs.2010.08080  0.568
2010 Sun H, Wu Q. Regularized least square regression with dependent samples Advances in Computational Mathematics. 32: 175-189. DOI: 10.1007/S10444-008-9099-Y  0.336
2009 Sun H, Wu Q. Application of integral operator for regularized least-square regression Mathematical and Computer Modelling. 49: 276-285. DOI: 10.1016/J.Mcm.2008.08.005  0.321
2009 Sun H, Wu Q. A note on application of integral operator in learning theory Applied and Computational Harmonic Analysis. 26: 416-421. DOI: 10.1016/J.Acha.2008.10.002  0.35
2008 Wu Q, Zhou D. Learning with sample dependent hypothesis spaces Computers & Mathematics With Applications. 56: 2896-2907. DOI: 10.1016/J.Camwa.2008.09.014  0.355
2007 Wu Q, Ying Y, Zhou DX. Multi-kernel regularized classifiers Journal of Complexity. 23: 108-134. DOI: 10.1016/j.jco.2006.06.007  0.315
2006 Wu Q, Ying Y, Zhou DX. Learning Theory: From Regression to Classification Studies in Computational Mathematics. 12: 257-290. DOI: 10.1016/S1570-579X(06)80011-X  0.342
2006 Wu Q, Ying Y, Zhou DX. Learning rates of least-square regularized regression Foundations of Computational Mathematics. 6: 171-192. DOI: 10.1007/s10208-004-0155-9  0.373
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