Jieping Ye, IEEE Fellow & ACM Distinguished Member

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	All	Since 2016
Citations	23464	14825
h-index	82	65
i10-index	259	227

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Shuiwang Ji, ACM Distinguished Mem...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
Jun LiuInfinia MLVerified email at asu.edu
Jiayu ZhouMichigan State UniversityVerified email at cse.msu.edu
Jianhui ChenMicrosoftVerified email at asu.edu
Qi LiWestern Kentucky UniversityVerified email at wku.edu
Pinghua GongUniversity of Michigan, Ann ArborVerified email at umich.edu
Peter WonkaKing Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Liang SunArizona State UniversityVerified email at asu.edu
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCVerified email at usc.edu
Yalin WangAssociate Professor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Lei YuanComputer Scientist, Dow AgroSciencesVerified email at asu.edu
Sudhir KumarDirector, iGEM, Carnell Professor, Temple UniversityVerified email at temple.edu
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Binbin LinUniversity of MichiganVerified email at zju.edu.cn
Ji LiuUniversity of RochesterVerified email at cs.rochester.edu
Qian SunGoogleVerified email at asu.edu
Jie Wang,Professor at University of Science and Technology of ChinaVerified email at ustc.edu.cn
Teresa WuProfessor of Industrial Engineering, School of Computing, Informatics, Decision Systems EngineeringVerified email at asu.edu
Qingyang LiDiDi Research America, DiDi LabsVerified email at didiglobal.com
Xiaofei HeProfessor of Computer Science, Zhejiang UniversityVerified email at cad.zju.edu.cn

Jieping Ye, IEEE Fellow & ACM Distinguished Member

University of Michigan & Beike

Verified email at umich.edu - Homepage

Machine learning data mining transportation biomedical informatics


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Tensor completion for estimating missing values in visual data J Liu, P Musialski, P Wonka, J Ye IEEE transactions on pattern analysis and machine intelligence 35 (1), 208-220, 2012	1175	2012
Two-dimensional linear discriminant analysis J Ye, R Janardan, Q Li Advances in Neural Information Processing Systems 17, 1569-1576, 2004	766	2004
SLEP: Sparse learning with efficient projections J Liu, S Ji, J Ye Arizona State University 6 (491), 7, 2009	693*	2009
Multi-task feature learning via efficient l2, 1-norm minimization J Liu, S Ji, J Ye arXiv preprint arXiv:1205.2631, 2012	628	2012
Generalized low rank approximations of matrices J Ye Machine Learning 61 (1-3), 167-191, 2005	515	2005
Fast and accurate matrix completion via truncated nuclear norm regularization Y Hu, D Zhang, J Ye, X Li, X He IEEE transactions on pattern analysis and machine intelligence 35 (9), 2117-2130, 2012	507	2012
An accelerated gradient method for trace norm minimization S Ji, J Ye Proceedings of the 26th annual international conference on machine learning …, 2009	477	2009
Deep multi-view spatial-temporal network for taxi demand prediction H Yao, F Wu, J Ke, X Tang, Y Jia, S Lu, P Gong, J Ye, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	404	2018
Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems. J Ye, B Yu Journal of Machine Learning Research 6 (4), 2005	365	2005
Malsar: Multi-task learning via structural regularization J Zhou, J Chen, J Ye Arizona State University 21, 2011	313	2011
A two-stage linear discriminant analysis via QR-decomposition J Ye, Q Li IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (6), 929-941, 2005	313	2005
An optimization criterion for generalized discriminant analysis on undersampled problems J Ye, R Janardan, CH Park, H Park IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (8), 982-994, 2004	302	2004
On similarity preserving feature selection Z Zhao, L Wang, H Liu, J Ye IEEE Transactions on Knowledge and Data Engineering 25 (3), 619-632, 2011	290	2011
Canonical correlation analysis for multilabel classification: A least-squares formulation, extensions, and analysis L Sun, S Ji, J Ye IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (1), 194-200, 2010	274	2010
Least squares linear discriminant analysis J Ye Proceedings of the 24th international conference on Machine learning, 1087-1093, 2007	262	2007
Robust multi-task feature learning P Gong, J Ye, C Zhang Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	256	2012
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation S Huang, J Li, L Sun, J Ye, A Fleisher, T Wu, K Chen, E Reiman, ... NeuroImage 50 (3), 935-949, 2010	252	2010
Clustered multi-task learning via alternating structure optimization J Zhou, J Chen, J Ye Advances in neural information processing systems 2011, 702, 2011	239	2011
A general iterative shrinkage and thresholding algorithm for non-convex regularized optimization problems P Gong, C Zhang, Z Lu, J Huang, J Ye international conference on machine learning, 37-45, 2013	231	2013
Hypergraph spectral learning for multi-label classification L Sun, S Ji, J Ye Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	227	2008

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