Smoothing neural network for L0 regularized optimization problem with general convex constraints

Projection neural network for a class of sparse regression problems with cardinality penalty

(2021) Wenjing Li et al.   NEUROCOMPUTING

A Smoothing Proximal Gradient Algorithm for Nonsmooth Convex Regression with Cardinality Penalty

(2020) Wei Bian et al.   SIAM JOURNAL ON NUMERICAL ANALYSIS

A Novel Neural Network for Solving Nonsmooth Nonconvex Optimization Problems

(2019) Xin Yu et al.   IEEE Transactions on Neural Networks and Learning Systems

Projected Neural Network for a Class of Non-Lipschitz Optimization Problems With Linear Constraints

(2019) Wenjing Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Neural network for nonsmooth pseudoconvex optimization with general convex constraints

(2018) Wei Bian et al.   NEURAL NETWORKS

Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm

(2018) Min Han et al.   IEEE Transactions on Cybernetics

A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints

(2018) Na Liu et al.   NEURAL NETWORKS

ℓ0-based sparse canonical correlation analysis with application to cross-language document retrieval

(2018) Jia Cai et al.   NEUROCOMPUTING

Optimality and Complexity for Constrained Optimization Problems with Nonconvex Regularization

(2017) Wei Bian et al.   MATHEMATICS OF OPERATIONS RESEARCH

A Unified View of Exact Continuous Penalties for $\ell_2$-$\ell_0$ Minimization

(2017) Emmanuel Soubies et al.   SIAM JOURNAL ON OPTIMIZATION

Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation

(2017) Ruibin Feng et al.   IEEE Transactions on Neural Networks and Learning Systems

A Collective Neurodynamic Approach to Constrained Global Optimization

(2017) Zheng Yan et al.   IEEE Transactions on Neural Networks and Learning Systems

A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization

(2017) Xinyi Le et al.   IEEE Transactions on Neural Networks and Learning Systems

A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Problems With Equality and Inequality Constraints

(2017) Sitian Qin et al.   IEEE Transactions on Cybernetics

-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network

(2016) Qingshan Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach

(2016) Chaojie Li et al.   IEEE Transactions on Neural Networks and Learning Systems

A Continuous Exact $\ell_0$ Penalty (CEL0) for Least Squares Regularized Problem

(2015) Emmanuel Soubies et al.   SIAM Journal on Imaging Sciences

Linearly Constrained Non-Lipschitz Optimization for Image Restoration

(2015) Wei Bian et al.   SIAM Journal on Imaging Sciences

Strong oracle optimality of folded concave penalized estimation

(2014) Jianqing Fan et al.   ANNALS OF STATISTICS

Complexity analysis of interior point algorithms for non-Lipschitz and nonconvex minimization

(2014) Wei Bian et al.   MATHEMATICAL PROGRAMMING

Multi-stage convex relaxation for feature selection

(2013) Tong Zhang   BERNOULLI

Iterative reweighted minimization methods for $$l_p$$ l p regularized unconstrained nonlinear programming

(2013) Zhaosong Lu   MATHEMATICAL PROGRAMMING

Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed $\ell_q$ Minimization

(2013) Ming-Jun Lai et al.   SIAM JOURNAL ON NUMERICAL ANALYSIS

Neural Network for Solving Constrained Convex Optimization Problems With Global Attractivity

(2012) Wei Bian et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Non-Lipschitz $\ell_{p}$-Regularization and Box Constrained Model for Image Restoration

(2012) Xiaojun Chen et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks

(2012) Zheng Yan et al.   IEEE Transactions on Industrial Informatics

Prediction of the Transient Stability Boundary Using the Lasso

(2012) Jiaqing Lv et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Smoothing methods for nonsmooth, nonconvex minimization

(2012) Xiaojun Chen   MATHEMATICAL PROGRAMMING

$L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver

(2012) Zongben Xu et al.   IEEE Transactions on Neural Networks and Learning Systems

A One-Layer Recurrent Neural Network for Constrained Nonsmooth Optimization

(2011) Qingshan Liu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization

(2011) Qingshan Liu et al.   NEURAL NETWORKS

Generalized gradient projection neural networks for nonsmooth optimization problems

(2010) GuoCheng Li et al.   Science China-Information Sciences

Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems

(2009) Wei Bian et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

(2009) Alfred M. Bruckstein et al.   SIAM REVIEW

Subgradient-Based Neural Networks for Nonsmooth Convex Optimization Problems

(2008) Xiaoping Xue et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints

(2008) Youshen Xia et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Restricted isometry properties and nonconvex compressive sensing

(2008) Rick Chartrand et al.   INVERSE PROBLEMS

Enhancing Sparsity by Reweighted ℓ 1 Minimization

(2008) Emmanuel J. Candès et al.   JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS