Wei Peng
Orcid: 0000-0002-7037-0221Affiliations:
- Chinese Academy of Military Science, Defense Innovation Institute, Beijing, China
- National University of Defense Technology, Department of Mathematics, Changsha, China (PhD 2019)
- Fudan University, Shanghai, China (former)
According to our database1,
Wei Peng
authored at least 30 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization.
IEEE Trans. Evol. Comput., February, 2024
Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network.
Appl. Soft Comput., 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data.
Neurocomputing, September, 2023
Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction.
Eng. Appl. Artif. Intell., 2023
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023
2022
A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification.
IEEE Trans. Evol. Comput., 2022
Neural Comput. Appl., 2022
Inertial proximal incremental aggregated gradient method with linear convergence guarantees.
Math. Methods Oper. Res., 2022
Temperature field inversion of heat-source systems via physics-informed neural networks.
Eng. Appl. Artif. Intell., 2022
CoRR, 2022
CoRR, 2022
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites.
CoRR, 2022
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks.
CoRR, 2022
A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain.
CoRR, 2022
Proceedings of the Modern Management based on Big Data III, 2022
2021
Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions.
Math. Oper. Res., 2021
Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems.
CoRR, 2021
2020
Global complexity analysis of inexact successive quadratic approximation methods for regularized optimization under mild assumptions.
J. Glob. Optim., 2020
CoRR, 2020
2019
J. Optim. Theory Appl., 2019
2018
A general scheme for log-determinant computation of matrices via stochastic polynomial approximation.
Comput. Math. Appl., 2018
2017
Computing Diagonals of Toeplitz Pentadiagonal Matrix Inverses via Matrix Möbius Transformations.
Proceedings of the VI International Conference on Network, Communication and Computing, 2017
2015
Large-Scale Log-Determinant Computation via Weighted L_2 Polynomial Approximation with Prior Distribution of Eigenvalues.
Proceedings of the High Performance Computing and Applications, 2015