Shuzhong Zhang

According to our database1, Shuzhong Zhang authored at least 116 papers between 1990 and 2019.

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Bibliography

2019
Tightness of a New and Enhanced Semidefinite Relaxation for MIMO Detection.
SIAM Journal on Optimization, 2019

Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis.
Comp. Opt. and Appl., 2019

Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives.
Proceedings of the Conference on Learning Theory, 2019

An Optimal High-Order Tensor Method for Convex Optimization.
Proceedings of the Conference on Learning Theory, 2019

2018
A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection.
SIAM J. Scientific Computing, 2018

Low-M-Rank Tensor Completion and Robust Tensor PCA.
J. Sel. Topics Signal Processing, 2018

Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems.
J. Sci. Comput., 2018

On the Information-Adaptive Variants of the ADMM: An Iteration Complexity Perspective.
J. Sci. Comput., 2018

Highly accurate model for prediction of lung nodule malignancy with CT scans.
CoRR, 2018

Accelerated primal-dual proximal block coordinate updating methods for constrained convex optimization.
Comp. Opt. and Appl., 2018

Online Learning with Non-Convex Losses and Non-Stationary Regret.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
On New Classes of Nonnegative Symmetric Tensors.
SIAM Journal on Optimization, 2017

Tensor and its tucker core: The invariance relationships.
Numerical Lin. Alg. with Applic., 2017

An Extragradient-Based Alternating Direction Method for Convex Minimization.
Foundations of Computational Mathematics, 2017

On Cones of Nonnegative Quartic Forms.
Foundations of Computational Mathematics, 2017

Tightness of a new and enhanced semidefinite relaxation for MIMO detection.
CoRR, 2017

A Sparse Completely Positive Relaxation of the Modularity Maximization for Community Detection.
CoRR, 2017

Accelerated Primal-Dual Proximal Block Coordinate Updating Methods for Constrained Convex Optimization.
CoRR, 2017

2016
Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations.
SIAM J. Matrix Analysis Applications, 2016

Local Linear Convergence of ISTA and FISTA on the LASSO Problem.
SIAM Journal on Optimization, 2016

A smoothing SQP framework for a class of composite Lq minimization over polyhedron.
Math. Program., 2016

Iteration Complexity Analysis of Multi-block ADMM for a Family of Convex Minimization Without Strong Convexity.
J. Sci. Comput., 2016

Tensor and Its Tucker Core: the Invariance Relationships.
CoRR, 2016

Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis.
CoRR, 2016

Tensor models: solution methods and applications.
Proceedings of the Big Data over Networks, 2016

2015
On the Global Linear Convergence of the ADMM with MultiBlock Variables.
SIAM Journal on Optimization, 2015

On Convergence of the Maximum Block Improvement Method.
SIAM Journal on Optimization, 2015

Tensor principal component analysis via convex optimization.
Math. Program., 2015

Inhomogeneous polynomial optimization over a convex set: An approximation approach.
Math. Comput., 2015

On optimal low rank Tucker approximation for tensors: the case for an adjustable core size.
J. Global Optimization, 2015

Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems.
CoRR, 2015

Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm.
BioData Mining, 2015

Convergence of Common Proximal Methods for L1-Regularized Least Squares.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
A Network Airline Revenue Management Framework Based on Decomposition by Origins and Destinations.
Transportation Science, 2014

Moments Tensors, Hilbert's Identity, and k-wise Uncorrelated Random Variables.
Math. Oper. Res., 2014

Probability Bounds for Polynomial Functions in Random Variables.
Math. Oper. Res., 2014

On distributional robust probability functions and their computations.
European Journal of Operational Research, 2014

Approximation methods for complex polynomial optimization.
Comp. Opt. and Appl., 2014

2013
Lorentz-Positive Maps and Quadratic Matrix Inequalities With Applications to Robust MISO Transmit Beamforming.
IEEE Trans. Signal Processing, 2013

Sparse solutions to random standard quadratic optimization problems.
Math. Program., 2013

Preface: Special issue of Journal of Global Optimization for the 8th international conference on optimization: techniques and applications.
J. Global Optimization, 2013

On a generalized Cournot oligopolistic competition game.
J. Global Optimization, 2013

No-boundary thinking in bioinformatics research.
BioData Mining, 2013

2012
Robust Multicast Beamforming for Spectrum Sharing-Based Cognitive Radios.
IEEE Trans. Signal Processing, 2012

Maximum Block Improvement and Polynomial Optimization.
SIAM Journal on Optimization, 2012

Polymatroid Optimization, Submodularity, and Joint Replenishment Games.
Operations Research, 2012

A Unified Adaptive Co-identification Framework for High-D Expression Data.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

Lorentz-positive mapswith applications to robust MISO downlink beamforming.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Design of Radar Receive Filters Optimized According to Lp-Norm Based Criteria.
IEEE Trans. Signal Processing, 2011

Design of Optimized Radar Codes With a Peak to Average Power Ratio Constraint.
IEEE Trans. Signal Processing, 2011

Fractional QCQP With Applications in ML Steering Direction Estimation for Radar Detection.
IEEE Trans. Signal Processing, 2011

New results on Hermitian matrix rank-one decomposition.
Math. Program., 2011

Tight Bounds for Some Risk Measures, with Applications to Robust Portfolio Selection.
Operations Research, 2011

A New Framework for Co-clustering of Gene Expression Data.
Proceedings of the Pattern Recognition in Bioinformatics, 2011

Robust secondary multicast transmit beamforming for cognitive radio networks under imperfect channel state information.
Proceedings of the IEEE International Conference on Acoustics, 2011

Radar code design with a Peak to average power Ratio constraint: A randomized approximate approach.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Code design for radar STAP via optimization theory.
IEEE Trans. Signal Processing, 2010

Semidefinite Relaxation of Quadratic Optimization Problems.
IEEE Signal Process. Mag., 2010

A Semidefinite Relaxation Scheme for Multivariate Quartic Polynomial Optimization with Quadratic Constraints.
SIAM Journal on Optimization, 2010

Approximation algorithms for homogeneous polynomial optimization with quadratic constraints.
Math. Program., 2010

Bounding Probability of Small Deviation: A Fourth Moment Approach.
Math. Oper. Res., 2010

2009
Adaptive Detection and Estimation in the Presence of Useful Signal and Interference Mismatches.
IEEE Trans. Signal Processing, 2009

Design of Phase Codes for Radar Performance Optimization With a Similarity Constraint.
IEEE Trans. Signal Processing, 2009

Duality gap estimation and polynomial time approximation for optimal spectrum management.
IEEE Trans. Signal Processing, 2009

Strong Duality for the CDT Subproblem: A Necessary and Sufficient Condition.
SIAM Journal on Optimization, 2009

Separated Continuous Conic Programming: Strong Duality and an Approximation Algorithm.
SIAM J. Control and Optimization, 2009

The Role of Robust Optimization in Single-Leg Airline Revenue Management.
Management Science, 2009

2008
Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints.
IEEE Trans. Signal Processing, 2008

Semidefinite Relaxation Bounds for Indefinite Homogeneous Quadratic Optimization.
SIAM Journal on Optimization, 2008

Approximation algorithm for facility location with service installation costs.
Oper. Res. Lett., 2008

A D{\mathsf{D}}-induced duality and its applications.
Math. Program., 2008

On the Low Rank Solutions for Linear Matrix Inequalities.
Math. Oper. Res., 2008

Dynamic Spectrum Management: Complexity and Duality.
J. Sel. Topics Signal Processing, 2008

Robust portfolio selection based on a multi-stage scenario tree.
European Journal of Operational Research, 2008

2007
Approximation Bounds for Quadratic Optimization with Homogeneous Quadratic Constraints.
SIAM Journal on Optimization, 2007

Foreword: Special issue on large-scale nonlinear and semidefinite programming.
Math. Program., 2007

Complex Matrix Decomposition and Quadratic Programming.
Math. Oper. Res., 2007

2006
Complex Quadratic Optimization and Semidefinite Programming.
SIAM Journal on Optimization, 2006

On implementation of a self-dual embedding method for convex programming.
Optimization Methods and Software, 2006

Tracking a Financial Benchmark Using a Few Assets.
Operations Research, 2006

2005
An O(\sqrtn L) Iteration Primal-dual Path-following Method, Based on Wide Neighborhoods and Large Updates, for Monotone LCP.
SIAM Journal on Optimization, 2005

Recursive approximation of the high dimensional max function.
Oper. Res. Lett., 2005

A Primal-Dual Decomposition Algorithm for Multistage Stochastic Convex Programming.
Math. Program., 2005

Optimal linear decentralized estimation in a bandwidth constrained sensor network.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

2004
Stochastic Linear-Quadratic Control via Primal-Dual Semidefinite Programming.
SIAM Review, 2004

Multivariate Nonnegative Quadratic Mappings.
SIAM Journal on Optimization, 2004

A New Self-Dual Embedding Method for Convex Programming.
J. Global Optimization, 2004

2003
New Results on Quadratic Minimization.
SIAM Journal on Optimization, 2003

On Cones of Nonnegative Quadratic Functions.
Math. Oper. Res., 2003

2002
A Primal-Dual Decomposition-Based Interior Point Approach to Two-Stage Stochastic Linear Programming.
Operations Research, 2002

2001
A primal-dual semi-definite programming approach to linear quadratic control.
IEEE Trans. Automat. Contr., 2001

Stochastic Linear-Quadratic Control via Semidefinite Programming.
SIAM J. Control and Optimization, 2001

On sensitivity of central solutions in semidefinite programming.
Math. Program., 2001

On a Profit Maximizing Location Model.
Annals OR, 2001

2000
Global Error Bounds for Convex Conic Problems.
SIAM Journal on Optimization, 2000

Quadratic maximization and semidefinite relaxation.
Math. Program., 2000

On weighted centers for semidefinite programming.
European Journal of Operational Research, 2000

1999
New variants of finite criss-cross pivot algorithms for linear programming.
European Journal of Operational Research, 1999

On Extensions of the Frank-Wolfe Theorems.
Comp. Opt. and Appl., 1999

Two Simple Algorithms for bin Covering.
Acta Cybern., 1999

1998
Superlinear Convergence of a Symmetric Primal-Dual Path Following Algorithm for Semidefinite Programming.
SIAM Journal on Optimization, 1998

On the long-step path-following method for semidefinite programming.
Oper. Res. Lett., 1998

Sequencing jobs that require common resources on a single machine: A solvable case of the TSP.
Math. Program., 1998

An interior point method, based on rank-1 updates, for linear programming.
Math. Program., 1998

1997
On a Wide Region of Centers and Primal-Dual Interior Point Algorithms for Linear Programming.
Math. Oper. Res., 1997

1996
An O(root(n)L) iteration bound primal-dual cone affine scaling algorithm for linear programming.
Math. Program., 1996

A new algorithm for generalized fractional programs.
Math. Program., 1996

Using duality to solve generalized fractional programming problems.
J. Global Optimization, 1996

Low-complexity algorithms for sequencing jobs with a fixed number of job-classes.
Computers & OR, 1996

New complexity results for the Iri-Imai method.
Annals OR, 1996

1994
A deep cut ellipsoid algorithm for convex programming: Theory and applications.
Math. Program., 1994

Improved Algorithms for Machine Allocation in Manufacturing Systems.
Operations Research, 1994

1993
A note on a stochastic location problem.
Oper. Res. Lett., 1993

Pivot rules for linear programming: A survey on recent theoretical developments.
Annals OR, 1993

1991
Heuristic for the 0-1 Min-Knapsack Problem.
Acta Cybern., 1991

1990
On the multidimensional vector bin packing.
Acta Cybern., 1990


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