Wei Bian - RankMe

26 papers C 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Extrapolated hard thresholding algorithms with finite length for composite ℓ Comput. Optim. Appl. Fan Wu, Jiazhen Wei, Wei Bian
2026	J	`jnl`	Smoothing Proximal Gradient Block-coordinate Algorithms for Group Sparse ℓ J. Optim. Theory Appl. Xue Li, Wei Bian
2025	J	`jnl`	An extra gradient Anderson-accelerated algorithm for pseudomonotone variational inequalities. Math. Comput. Xin Qu, Wei Bian, Xiaojun Chen
2025	J	`jnl`	On solving a rank regularized minimization problem via equivalent factorized column-sparse regularized models. Math. Program. Wenjing Li, Wei Bian, Kim-Chuan Toh
2024	J	`jnl`	Point Clouds Matching Based on Discrete Optimal Transport. IEEE Trans. Image Process. Litao Ma, Wei Bian, Xiaoping Xue
2023	J	`jnl`	A subgradient-based neural network to constrained distributed convex optimization. Neural Comput. Appl. Zhe Wei, Wenwen Jia, Wei Bian, Sitian Qin
2023	J	`jnl`	Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Convex Optimization Beyond Differentiability. J. Optim. Theory Appl. Fan Wu, Wei Bian
2022	J	`jnl`	Anderson Acceleration for Nonsmooth Fixed Point Problems. SIAM J. Numer. Anal. Wei Bian, Xiaojun Chen
2022	J	`jnl`	Difference-of-Convex Algorithms for a Class of Sparse Group $\ell_0$ Regularized Optimization Problems. SIAM J. Optim. Wenjing Li, Wei Bian, Kim-Chuan Toh
2022	J	`jnl`	Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization. Comput. Optim. Appl. Xin Qu, Wei Bian
2022	J	`jnl`	Neural network for a class of sparse optimization with L0-regularization. Neural Networks Zhe Wei, Qingfa Li, Jiazhen Wei, Wei Bian
2021	J	`jnl`	A Novel Multiagent Neurodynamic Approach to Constrained Distributed Convex Optimization. IEEE Trans. Cybern. Litao Ma, Wei Bian
2021	J	`jnl`	A Simple Neural Network for Sparse Optimization With $l_1$ Regularization. IEEE Trans. Netw. Sci. Eng. Litao Ma, Wei Bian
2021	J	`jnl`	Projection neural network for a class of sparse regression problems with cardinality penalty. Neurocomputing Wenjing Li, Wei Bian
2021	J	`jnl`	Smoothing neural network for L0 regularized optimization problem with general convex constraints. Neural Networks Wenjing Li, Wei Bian
2020	C	`conf`	A Neural Network for Distributed Optimization over Multiagent Networks. ISNN Jiazhen Wei, Sitian Qin, Wei Bian
2020	J	`jnl`	Accelerated iterative hard thresholding algorithm for l J. Glob. Optim. Fan Wu, Wei Bian
2020	J	`jnl`	Projected Neural Network for a Class of Non-Lipschitz Optimization Problems With Linear Constraints. IEEE Trans. Neural Networks Learn. Syst. Wenjing Li, Wei Bian, Xiaoping Xue
2020	J	`jnl`	Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty. CoRR Wenjing Li, Wei Bian
2018	J	`jnl`	Neural network for nonsmooth pseudoconvex optimization with general convex constraints. Neural Networks Wei Bian, Litao Ma, Sitian Qin, Xiaoping Xue
2013	J	`jnl`	A new one-layer recurrent neural network for nonsmooth pseudoconvex optimization. Neurocomputing Sitian Qin, Wei Bian, Xiaoping Xue
2013	J	`jnl`	Neural Network for Solving Constrained Convex Optimization Problems With Global Attractivity. IEEE Trans. Circuits Syst. I Regul. Pap. Wei Bian, Xiaoping Xue
2009	J	`jnl`	A project neural network for solving degenerate quadratic minimax problem with linear constraints. Neurocomputing Xiaoping Xue, Wei Bian
2009	J	`jnl`	Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems. IEEE Trans. Neural Networks Wei Bian, Xiaoping Xue
2008	J	`jnl`	Subgradient-Based Neural Networks for Nonsmooth Convex Optimization Problems. IEEE Trans. Circuits Syst. I Regul. Pap. Xiaoping Xue, Wei Bian
2007	J	`jnl`	A project neural network for solving degenerate convex quadratic program. Neurocomputing Xiaoping Xue, Wei Bian