Shuheng Zhou

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Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Peter BühlmannProfessor of Statistics and Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
Sara van de GeerProfessor Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
Alfred HeroJohn H Holland Distinguished University Professor, University of MichiganVerified email at eecs.umich.edu
Kristjan GreenewaldResearch Scientist, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
T-H. Hubert ChanDepartment of Computer Science, The University of Hong KongVerified email at cs.hku.hk
Greg GangerJatras Professor, Carnegie Mellon UniversityVerified email at ece.cmu.edu
Peter SteenkisteProfessor of CS and ECE, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Kerby SheddenUniversity of MichiganVerified email at umich.edu
Min XuRutgers UniversityVerified email at stat.rutgers.edu
Katrina LigettHebrew UniversityVerified email at mail.huji.ac.il
Freddie KalaitzisSenior Research Fellow, University of OxfordVerified email at cs.ox.ac.uk
Vassilis J. TsotrasProfessor, Department of Computer Science and Engineering, University of California, RiversideVerified email at cs.ucr.edu
Christian R. SheltonProfessor, University of California, RiversideVerified email at cs.ucr.edu
Daniel JeskeProfessor of Statistics, University of California, RiversideVerified email at ucr.edu
Wenxiu MaUniversity of California, RiversideVerified email at ucr.edu
Eran HalperinUniversity of California, Los AngelesVerified email at cs.ucla.edu
Kamalika ChaudhuriUCSD, MetaVerified email at ucsd.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Alan FriezeCarnegie Mellon UniversityVerified email at random.math.cmu.edu

Shuheng Zhou

Professor, University of California, Riverside

Verified email at ucr.edu - Homepage

Machine learning High dimensional statistics Differential Privacy Algorithms


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Statistical Framework for Differential Privacy L Wasserman, S Zhou Journal of the American Statistical Association 105 (489), 375-389, 2010	551	2010
Reconstruction from anisotropic random measurements M Rudelson, S Zhou IEEE Transactions on Information Theory 59 (6), 3434-3447, 2013	294	2013
Time varying undirected graphs S Zhou, J Lafferty, L Wasserman Machine Learning 80 (2/3), 295–319, 2010	235	2010
On hierarchical routing in doubling metrics THH Chan, A Gupta, BM Maggs, S Zhou ACM Transactions on Algorithms (TALG) 12 (4), 1-22, 2016	167	2016
The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso) S van de Geer, P Buhlmann, S Zhou Electronic Journal of Statistics 5, 688-749, 2011	166	2011
Gemini: Graph estimation with matrix variate normal instances S Zhou The Annals of Statistics 42 (2), 532-562, 2014	141	2014
High-dimensional covariance estimation based on Gaussian graphical models S Zhou, P Rutimann, M Xu, P Buhlmann Journal of Machine Learning Research 12, 2975-3026, 2011	124	2011
Restricted eigenvalue conditions on subgaussian random matrices S Zhou arXiv preprint arXiv:0912.4045, 2009	106	2009
On convergence of Kronecker graphical Lasso algorithms T Tsiligkaridis, A Hero, S Zhou IEEE Transactions on Signal Processing 61 (7), 1743 - 1755, 2013	99	2013
Adaptive Lasso for high dimensional regression and Gaussian graphical modeling S Zhou, S van de Geer, P Buhlmann arXiv preprint arXiv:0903.2515, 2009	89	2009
Differential privacy with compression S Zhou, K Ligett, L Wasserman 2009 IEEE International Symposium on Information Theory, 2009	82	2009
Compressed and privacy-sensitive sparse regression S Zhou, J Lafferty, L Wasserman IEEE Transactions on Information Theory 55 (2), 846-866, 2009	75	2009
Thresholding procedures for high dimensional variable selection and statistical estimation S Zhou Advances in Neural Information Processing Systems 22, 2009	70	2009
Design and evaluation of an individually simulated mobility model in wireless ad hoc networks DS Tan, S Zhou, J Ho, J Mehta, H Tanabe Communication Networks and Distributed Systems Modeling and Simulation …, 2002	69	2002
Thresholded Lasso for high dimensional variable selection and statistical estimation S Zhou arXiv preprint arXiv:1002.1583, 2010	68	2010
The Bigraphical Lasso A Kalaitzis, J Lafferty, ND Lawrence, S Zhou International Conference on Machine Learning (ICML) 2013, 2013	55	2013
Compressed regression S Zhou, L Wasserman, J Lafferty Advances in Neural Information Processing Systems 20, 2007	55	2007
Location-based node IDs: enabling explicit locality in DHTs S Zhou, GR Ganger, P Steenkiste Carnegie Mellon University Technical Report CMU-CS-03-171 2003, 16, 2003	55	2003
Time varying undirected graphs S Zhou, J Lafferty, L Wasserman In Proceedings of the 21st Annual Conference on Learning Theory (COLT), 2008 …, 2008	54	2008
Tensor graphical Lasso (TeraLasso) K Greenewald, S Zhou, A Hero III Journal of Royal Statistical Society, Series B 81 (5), 901-931, 2019	51	2019

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