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Wei Bian 0001
Person information
- affiliation: Harbin Institute of Technology, Institute of Advanced Study in Mathematics, China
- affiliation (PhD 2009): Harbin Institute of Technology, School of Mathematics, China
Other persons with the same name
- Wei Bian
- Wei Bian 0002
— Tsinghua University, Department of Chinese Language and Literature, School of Humanities, Beijing, China - Wei Bian 0003 — University of Technology Sydney, Center for Artificial Intelligence, China (and 1 more)
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2020 – today
- 2026
[j24]Fan Wu, Jiazhen Wei, Wei Bian
:
Extrapolated hard thresholding algorithms with finite length for composite ℓ 0 penalized problems. Comput. Optim. Appl. 93(2): 765-794 (2026)
[j23]Xue Li, Wei Bian
:
Smoothing Proximal Gradient Block-coordinate Algorithms for Group Sparse ℓ 0 Regularized Nonsmooth Convex Regression Problem. J. Optim. Theory Appl. 209(1): 14 (2026)- 2025
[j22]Xin Qu, Wei Bian, Xiaojun Chen:
An extra gradient Anderson-accelerated algorithm for pseudomonotone variational inequalities. Math. Comput. 95(359): 1361-1387 (2025)
[j21]Wenjing Li
, Wei Bian
, Kim-Chuan Toh:
On solving a rank regularized minimization problem via equivalent factorized column-sparse regularized models. Math. Program. 212(1): 273-318 (2025)- 2024
[j20]Litao Ma
, Wei Bian
, Xiaoping Xue
:
Point Clouds Matching Based on Discrete Optimal Transport. IEEE Trans. Image Process. 33: 5650-5662 (2024)- 2023
[j19]Fan Wu, Wei Bian
:
Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Convex Optimization Beyond Differentiability. J. Optim. Theory Appl. 197(2): 539-572 (2023)
[j18]Zhe Wei, Wenwen Jia, Wei Bian, Sitian Qin:
A subgradient-based neural network to constrained distributed convex optimization. Neural Comput. Appl. 35(14): 9961-9971 (2023)- 2022
[j17]Xin Qu, Wei Bian
:
Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization. Comput. Optim. Appl. 83(1): 287-317 (2022)
[j16]Zhe Wei, Qingfa Li, Jiazhen Wei, Wei Bian
:
Neural network for a class of sparse optimization with L0-regularization. Neural Networks 151: 211-221 (2022)
[j15]Wenjing Li
, Wei Bian
, Kim-Chuan Toh
:
Difference-of-Convex Algorithms for a Class of Sparse Group $\ell_0$ Regularized Optimization Problems. SIAM J. Optim. 32(3): 1614-1641 (2022)
[j14]Wei Bian
, Xiaojun Chen:
Anderson Acceleration for Nonsmooth Fixed Point Problems. SIAM J. Numer. Anal. 60(5): 2565-2591 (2022)- 2021
[j13]Wenjing Li
, Wei Bian:
Projection neural network for a class of sparse regression problems with cardinality penalty. Neurocomputing 431: 188-200 (2021)
[j12]Wenjing Li
, Wei Bian
:
Smoothing neural network for L0 regularized optimization problem with general convex constraints. Neural Networks 143: 678-689 (2021)
[j11]Litao Ma
, Wei Bian
:
A Novel Multiagent Neurodynamic Approach to Constrained Distributed Convex Optimization. IEEE Trans. Cybern. 51(3): 1322-1333 (2021)
[j10]Litao Ma
, Wei Bian
:
A Simple Neural Network for Sparse Optimization With $l_1$ Regularization. IEEE Trans. Netw. Sci. Eng. 8(4): 3430-3442 (2021)- 2020
[j9]Fan Wu, Wei Bian
:
Accelerated iterative hard thresholding algorithm for l0 regularized regression problem. J. Glob. Optim. 76(4): 819-840 (2020)
[j8]Wenjing Li
, Wei Bian
, Xiaoping Xue
:
Projected Neural Network for a Class of Non-Lipschitz Optimization Problems With Linear Constraints. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3361-3373 (2020)
[c1]Jiazhen Wei, Sitian Qin, Wei Bian:
A Neural Network for Distributed Optimization over Multiagent Networks. ISNN 2020: 85-95
[i1]Wenjing Li, Wei Bian:
Projected Neural Network for a Class of Sparse Regression with Cardinality Penalty. CoRR abs/2004.00858 (2020)
2010 – 2019
- 2018
[j7]Wei Bian, Litao Ma, Sitian Qin, Xiaoping Xue:
Neural network for nonsmooth pseudoconvex optimization with general convex constraints. Neural Networks 101: 1-14 (2018)- 2013
[j6]Sitian Qin, Wei Bian, Xiaoping Xue:
A new one-layer recurrent neural network for nonsmooth pseudoconvex optimization. Neurocomputing 120: 655-662 (2013)
[j5]Wei Bian, Xiaoping Xue:
Neural Network for Solving Constrained Convex Optimization Problems With Global Attractivity. IEEE Trans. Circuits Syst. I Regul. Pap. 60-I(3): 710-723 (2013)
2000 – 2009
- 2009
[j4]Xiaoping Xue, Wei Bian:
A project neural network for solving degenerate quadratic minimax problem with linear constraints. Neurocomputing 72(7-9): 1826-1838 (2009)
[j3]Wei Bian, Xiaoping Xue:
Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems. IEEE Trans. Neural Networks 20(6): 1024-1038 (2009)- 2008
[j2]Xiaoping Xue, Wei Bian:
Subgradient-Based Neural Networks for Nonsmooth Convex Optimization Problems. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(8): 2378-2391 (2008)- 2007
[j1]Xiaoping Xue, Wei Bian:
A project neural network for solving degenerate convex quadratic program. Neurocomputing 70(13-15): 2449-2459 (2007)
Coauthor Index

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last updated on 2026-04-05 22:24 CEST by the dblp team
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