Shuheng Zhou

发表

Precision Matrix Estimation with Noisy and Missing Data

Roger Fan, Byoungwook Jang, Yuekai Sun, 2019, AISTATS.

Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation

Shuheng Zhou, Shuheng Zhou, 2009, NIPS.

Separating Populations with Wide Data: A Spectral Analysis

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

On Convergence of Kronecker Graphical Lasso Algorithms

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

On hierarchical routing in doubling metrics

Bruce M. Maggs, Anupam Gupta, Shuheng Zhou, 2005, SODA '05.

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

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

Edge Disjoint Paths in Moderately Connected Graphs

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

The Bigraphical Lasso

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

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

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

Edge Disjoint Paths in Moderately Connected Graphs

Satish Rao, Shuheng Zhou, 2006, ICALP.

Location-based node IDs : enabling explicit locality in DHTs

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

High-dimensional Covariance Estimation Based On Gaussian Graphical Models

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

A rigorous analysis of population stratification with limited data

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

An efficient QoS routing algorithm based on nonlinear path distance for min-sharing interference and load balancing

Min Zhang, Xiaolong Yang, Shuheng Zhou, 2004, The Fourth International Conference onComputer and Information Technology, 2004. CIT '04..

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

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

Learning Balanced Mixtures of Discrete Distributions with Small Sample pdf

Shuheng Zhou, 2008, ArXiv.

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

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

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.

Compressed and Privacy-Sensitive Sparse Regression

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

Differential privacy with compression

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

Compressed Regression

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

Balancing locality and randomness in DHTs

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

Kronecker graphical lasso

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

Time varying undirected graphs

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

Balancing Locality and Randomness in DHTs (CMU-CS-03-203)

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

On Hierarchical Routing in Doubling Metrics (CMU-PDL-04-106)

Bruce M. Maggs, Anupam Gupta, Shuheng Zhou, 2004 .

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

Shuheng Zhou, Seyoung Park, Xuming He, 2017 .

Joint Mean and Covariance Estimation with Unreplicated Matrix-Variate Data

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

Prediction and variable selection with the adaptive Lasso

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

Errors-in-variables models with dependent measurements

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