Pengjie Liu
Orcid: 0000-0002-5629-2941
According to our database1,
Pengjie Liu
authored at least 28 papers
between 2014 and 2024.
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Bibliography
2024
Two efficient spectral hybrid CG methods based on memoryless BFGS direction and Dai-Liao conjugacy condition.
Optim. Methods Softw., November, 2024
An inertial Fletcher-Reeves-type conjugate gradient projection-based method and its spectral extension for constrained nonlinear equations.
J. Appl. Math. Comput., June, 2024
A family of inertial-based derivative-free projection methods with a correction step for constrained nonlinear equations and their applications.
Numer. Linear Algebra Appl., March, 2024
Robust nonlinear decision mapping approach for online bus speed control under uncertainty.
Comput. Aided Civ. Infrastructure Eng., January, 2024
SEMDR: A Semantic-Aware Dual Encoder Model for Legal Judgment Prediction with Legal Clue Tracing.
CoRR, 2024
CoRR, 2024
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024
2023
A family of three-term conjugate gradient projection methods with a restart procedure and their relaxed-inertial extensions for the constrained nonlinear pseudo-monotone equations with applications.
Numer. Algorithms, November, 2023
J. Optim. Theory Appl., September, 2023
Convergence analysis of an improved Bregman-type Peaceman-Rachford splitting algorithm for nonconvex nonseparable linearly constrained optimization problems.
J. Comput. Appl. Math., July, 2023
Seformer: a long sequence time-series forecasting model based on binary position encoding and information transfer regularization.
Appl. Intell., June, 2023
An accelerating algorithm for maximum shortest path interdiction problem by upgrading edges on trees under unit Hamming distance.
Optim. Lett., March, 2023
Three adaptive hybrid derivative-free projection methods for constrained monotone nonlinear equations and their applications.
Numer. Linear Algebra Appl., March, 2023
An efficient conjugate gradient-based algorithm for unconstrained optimization and its projection extension to large-scale constrained nonlinear equations with applications in signal recovery and image denoising problems.
J. Comput. Appl. Math., 2023
An inertial proximal partially symmetric ADMM-based algorithm for linearly constrained multi-block nonconvex optimization problems with applications.
J. Comput. Appl. Math., 2023
2022
J. Appl. Math. Comput., December, 2022
A three-term conjugate gradient method with accelerated subspace quadratic optimization.
J. Appl. Math. Comput., August, 2022
Neural Comput. Appl., 2022
Muformer: A long sequence time-series forecasting model based on modified multi-head attention.
Knowl. Based Syst., 2022
Appl. Intell., 2022
Proceedings of the 4th International Conference on Robotics, 2022
Proceedings of the 4th International Conference on Robotics, 2022
2021
A QCQP-based splitting SQP algorithm for two-block nonconvex constrained optimization problems with application.
J. Comput. Appl. Math., 2021
An improved Polak-Ribière-Polyak conjugate gradient method with an efficient restart direction.
Comput. Appl. Math., 2021
Int. J. Appl. Math. Comput. Sci., 2021
2020
A New Conjugate Gradient Projection Method for Convex Constrained Nonlinear Equations.
Complex., 2020
2015
Proceedings of the 12th Web Information System and Application Conference, 2015
2014
Proceedings of the 11th Web Information System and Application Conference, 2014