Jieping Ye, IEEE Fellow & ACM Distinguished Member

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Shuiwang Ji, ACM Distinguished Mem...Department of Computer Science & Engineering, Texas A&M UniversityEmail verificata su tamu.edu
Jun LiuInfinia MLEmail verificata su asu.edu
Jiayu ZhouMichigan State UniversityEmail verificata su cse.msu.edu
Jianhui ChenMicrosoftEmail verificata su asu.edu
Qi LiWestern Kentucky UniversityEmail verificata su wku.edu
Pinghua GongUniversity of Michigan, Ann ArborEmail verificata su umich.edu
Peter WonkaKing Abdullah University of Science and Technology (KAUST)Email verificata su kaust.edu.sa
Liang SunArizona State UniversityEmail verificata su asu.edu
Paul ThompsonProfessor of Neurology & Psychiatry, Imaging Genetics Center, USCEmail verificata su usc.edu
Yalin WangAssociate Professor of Computer Science and Engineering, Arizona State UniversityEmail verificata su asu.edu
Lei YuanComputer Scientist, Dow AgroSciencesEmail verificata su asu.edu
Sudhir KumarDirector, iGEM, Carnell Professor, Temple UniversityEmail verificata su temple.edu
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityEmail verificata su asu.edu
Binbin LinUniversity of MichiganEmail verificata su zju.edu.cn
Ji LiuUniversity of RochesterEmail verificata su cs.rochester.edu
Qian SunGoogleEmail verificata su asu.edu
Jie Wang,Professor at University of Science and Technology of ChinaEmail verificata su ustc.edu.cn
Teresa WuProfessor of Industrial Engineering, School of Computing, Informatics, Decision Systems EngineeringEmail verificata su asu.edu
Qingyang LiDiDi Research America, DiDi LabsEmail verificata su didiglobal.com
Xiaofei HeProfessor of Computer Science, Zhejiang UniversityEmail verificata su cad.zju.edu.cn

Jieping Ye, IEEE Fellow & ACM Distinguished Member

University of Michigan & Beike

Email verificata su umich.edu - Home page

Machine learning data mining transportation biomedical informatics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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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