Shuheng Zhou

发表

Location-based node IDs : enabling explicit locality in DHTs

Peter Steenkiste, Gregory R. Ganger, Shuheng Zhou, 2003 .

A Statistical Framework for Differential Privacy

L. Wasserman, Shuheng Zhou, 2008, 0811.2501.

Restricted Eigenvalue Conditions on Subgaussian Random Matrices

Shuheng Zhou, 2009, 0912.4045.

The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso)

S. Geer, Peter Buhlmann, Shuheng Zhou, 2011 .

Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation

Shuheng Zhou, Shuheng Zhou, 2009, NIPS.

Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling

S. Geer, Peter Buhlmann, Shuheng Zhou, 2009, 0903.2515.

Convergence Properties of Kronecker Graphical Lasso Algorithms

A. Hero, Shuheng Zhou, Theodoros Tsiligkaridis, 2013 .

25th Annual Conference on Learning Theory Reconstruction from Anisotropic Random Measurements

Shuheng Zhou, Mark Rudelson, M. Rudelson, 2022 .

Thresholded Lasso for high dimensional variable selection and statistical estimation

Shuheng Zhou, 2010, 1002.1583.

Compressed Regression

Larry A. Wasserman, John D. Lafferty, Shuheng Zhou, 2007, NIPS.

Time varying undirected graphs

Larry A. Wasserman, John D. Lafferty, Shuheng Zhou, 2008, Machine Learning.

Compressed and Privacy-Sensitive Sparse Regression

Larry A. Wasserman, John D. Lafferty, Shuheng Zhou, 2009, IEEE Transactions on Information Theory.

The Tensor Quadratic Forms

Shuheng Zhou, 2020 .

Gemini: Graph estimation with matrix variate normal instances

Shuheng Zhou, 2012, 1209.5075.

Errors-in-variables models with dependent measurements

Shuheng Zhou, Mark Rudelson, M. Rudelson, 2016, 1611.04701.

Sparse Hanson–Wright inequalities for subgaussian quadratic forms

Shuheng Zhou, 2015, Bernoulli.

DFG-SNF Research Group FOR916 Statistical Regularization and Qualitative Constraints

L. Wasserman, Shuheng Zhou, 2009 .

Routing, Disjoint Paths, and Classification (CMU-PDL-06-109)

Shuheng Zhou, 2006 .

Routing, disjoint paths, and classification

G. Ganger, Shuheng Zhou, B. Maggs, 2006 .

High dimensional errors-in-variables models with dependent measurements

M. Rudelson, Shuheng Zhou, 2015, 1502.02355.

Tensor graphical lasso (TeraLasso)

Kristjan H. Greenewald, A. Hero, Shuheng Zhou, 2017, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

D ec 2 01 5 Errors-in-variables models with dependent measurements ∗ †

M. Rudelson, Shuheng Zhou, 2015 .

Tensor models for linguistics pitch curve data of native speakers of Afrikaans.

Shuheng Zhou, K. Shedden, Michael Hornstein, 2018, 1808.05291.

Separating Populations with Wide Data: A Spectral Analysis

A. Blum, A. Frieze, Shuheng Zhou, 2007, ISAAC.

Semidefinite programming on population clustering: a global analysis

Shuheng Zhou, 2023, ArXiv.

The Bigraphical Lasso

Neil D. Lawrence, John D. Lafferty, Shuheng Zhou, 2013, ICML.

A rigorous analysis of population stratification with limited data

Eran Halperin, Satish Rao, Kamalika Chaudhuri, 2007, SODA '07.

Joint Mean and Covariance Estimation with Unreplicated Matrix-Variate Data

Kerby Shedden, Shuheng Zhou, Shuheng Zhou, 2016, Journal of the American Statistical Association.

Time-dependent spatially varying graphical models, with application to brain fMRI data analysis

Kristjan H. Greenewald, Shuheng Zhou, Seyoung Park, 2017, NIPS.

Dantzig-type penalization for multiple quantile regression with high dimensional covariates

Shuheng Zhou, Seyoung Park, Xuming He, 2017 .

Prediction and variable selection with the adaptive Lasso

Sara van de Geer, Peter Bühlmann, Shuheng Zhou, 2010 .

Thresholded Lasso for high dimensional variable selection and statistical estimation

Shuheng Zhou, 2010, 2309.15355.

On Convergence of Kronecker Graphical Lasso Algorithms

Alfred O. Hero, Shuheng Zhou, Theodoros Tsiligkaridis, 2012, IEEE Transactions on Signal Processing.

Sharp rates of convergence for the tensor graphical Lasso estimator

Kristjan H. Greenewald, Shuheng Zhou, 2023, 2304.00441.

Differential privacy with compression

Larry A. Wasserman, Katrina Ligett, Shuheng Zhou, 2009, 2009 IEEE International Symposium on Information Theory.

Non-separable covariance models for spatio-temporal data, with applications to neural encoding analysis

Kerby Shedden, Shuheng Zhou, Seyoung Park, 2017, 1705.05265.

Kronecker graphical lasso

Alfred O. Hero, Shuheng Zhou, Theodoros Tsiligkaridis, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

High-dimensional Covariance Estimation Based On Gaussian Graphical Models

Min Xu, Peter Bühlmann, Shuheng Zhou, 2010, J. Mach. Learn. Res..

Edge Disjoint Paths in Moderately Connected Graphs

Satish Rao, Shuheng Zhou, Shuheng Zhou, 2006, SIAM J. Comput..

Separating Populations with Wide Data: A Spectral Analysis

Alan M. Frieze, Avrim Blum, Amin Coja-Oghlan, 2007, ISAAC.

An optimizatin-based N:1 multiclass optical burst assembly mapping technique to support QoS

Min Zhang, Hui Liu, Xiaolong Yang, 2004, SPIE/OSA/IEEE Asia Communications and Photonics.

Design and Evaluation of an Individually Simulated Mobility Model in Wireless Ad Hoc Networks

Desney S. Tan, Shuheng Zhou, Jiann-Min Ho, 2001 .