Yiming Ying - Google Scholar Citations

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	All	Since 2015
Citations	3058	1630
h-index	27	21
i10-index	39	31

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Co-authors

Colin CampbellUniversity of BristolVerified email at bris.ac.uk
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Peng LiDaonVerified email at ieee.org
Wu, QiangMiddle Tennessee State UniversityVerified email at mtsu.edu
Kaizhu HuangProfessor of Electrical and Electronic Engineering, Xi'an Jiaotong Liverpool UniversityVerified email at xjtlu.edu.cn
Siwei Lyu (吕思伟)Professor of Computer Science, SUNY Albany, IEEE Senior MemberVerified email at albany.edu
Qiong Cao (曹琼)Tencent Youtu labVerified email at tencent.com
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Andreas ArgyriouMicrosoft UKVerified email at alum.mit.edu
Theodoros (Theo) DamoulasAssociate Professor, University of WarwickVerified email at warwick.ac.uk
Geyong MinUniversity of ExeterVerified email at exeter.ac.uk
ChengQiang HuangHuawei Technologies Co. LtdVerified email at huawei.com
Longyin WenJD DigitsVerified email at jd.com
Michael Natole Jr.Graduate Student, University at AlbanyVerified email at albany.edu
Bao-Gang Hu (胡包钢)NLPR/LIAMA, Institute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Yanbo FanTencent AI LabVerified email at ia.ac.cn
Ming-Ching Chang 張明清University at Albany - SUNYVerified email at albany.edu
Phaedra AgiusNYGCVerified email at nygenome.org
Yunwen LeiTechnical University of KaiserslauternVerified email at rhrk.uni-kl.de
Baojian ZhouStudent of Computer Science, MathematicsVerified email at albany.edu

Yiming Ying

Department of Mathematics and Statistics, University at Albany, SUNY

Verified email at albany.edu - Homepage

Machine Learning Learning Theory Optimization


Title	Cited by	Year
Distance metric learning with eigenvalue optimization Y Ying, P Li Journal of machine Learning research 13 (Jan), 1-26, 2012	281	2012
Learning with support vector machines C Campbell, Y Ying Synthesis lectures on artificial intelligence and machine learning 5 (1), 1-95, 2011	252	2011
Support vector machine soft margin classifiers: error analysis DR Chen, Q Wu, Y Ying, DX Zhou Journal of Machine Learning Research 5 (Sep), 1143-1175, 2004	236	2004
A spectral regularization framework for multi-task structure learning A Argyriou, M Pontil, Y Ying, CA Micchelli Advances in neural information processing systems, 25-32, 2008	225	2008
Learning rates of least-square regularized regression Q Wu, Y Ying, DX Zhou Foundations of computational mathematics 6 (2), 171-192, 2006	221	2006
Similarity Metric Learning for Face Recognition Q Cao, Y Ying, P Li International Conference on Computer Vision (ICCV), 2013	183	2013
Multi-kernel regularized classifiers Q Wu, Y Ying, DX Zhou Journal of Complexity 23 (1), 108-134, 2007	155	2007
Universal multi-task kernels A Caponnetto, CA Micchelli, M Pontil, Y Ying Journal of Machine Learning Research 9 (Jul), 1615-1646, 2008	152	2008
Sparse metric learning via smooth optimization Y Ying, K Huang, C Campbell Advances in neural information processing systems, 2214-2222, 2009	116	2009
Online regularized classification algorithms Y Ying, DX Zhou IEEE Transactions on Information Theory 52 (11), 4775-4788, 2006	97	2006
Gsml: A unified framework for sparse metric learning K Huang, Y Ying, C Campbell Data Mining, 2009. ICDM'09. Ninth IEEE International Conference on, 189-198, 2009	80*	2009
Online gradient descent learning algorithms Y Ying, M Pontil Foundations of Computational Mathematics 8 (5), 561-596, 2008	80	2008
Generalization bounds for metric and similarity learning Q Cao, ZC Guo, Y Ying Machine Learning 102 (1), 115-132, 2016	73	2016
Learnability of Gaussians with flexible variances Y Ying, DX Zhou Journal of Machine Learning Research 8 (Feb), 249-276, 2007	70	2007
Certain operators with rough singular kernels J Chen, D Fan, Y Ying Canadian Journal of Mathematics 55 (3), 504-532, 2003	56	2003
Singular integral operators on function spaces J Chen, D Fan, Y Ying Journal of mathematical analysis and applications 276 (2), 691-708, 2002	56	2002
Enhanced protein fold recognition through a novel data integration approach Y Ying, K Huang, C Campbell BMC bioinformatics 10 (1), 267, 2009	55	2009
Generalization bounds for learning the kernel Y Ying, C Campbell	55	2009
Analysis of SVM with indefinite kernels Y Ying, C Campbell, M Girolami Advances in neural information processing systems, 2205-2213, 2009	53	2009
Large margin local metric learning J Bohné, Y Ying, S Gentric, M Pontil European Conference on Computer Vision, 679-694, 2014	44	2014

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