Weien Zhou
Orcid: 0000-0001-9833-679X
According to our database1,
Weien Zhou
authored at least 31 papers
between 2017 and 2024.
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Bibliography
2024
Neural Networks, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
The Constrained Niching Differential Evolution Algorithm for Satellite Layout Optimization Design.
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
Neurocomputing, June, 2023
A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems.
Sci. China Inf. Sci., May, 2023
Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors.
IEEE Trans. Geosci. Remote. Sens., 2023
A CNN with noise inclined module and denoise framework for hyperspectral image classification.
IET Image Process., 2023
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network.
Eng. Appl. Artif. Intell., 2023
Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction.
Eng. Appl. Artif. Intell., 2023
A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications.
CoRR, 2023
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator.
CoRR, 2023
2022
Neural Comput. Appl., 2022
Temperature field inversion of heat-source systems via physics-informed neural networks.
Eng. Appl. Artif. Intell., 2022
CoRR, 2022
Heat Source Layout Optimization Using Automatic Deep Learning Surrogate Model and Multimodal Neighborhood Search Algorithm.
CoRR, 2022
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks.
CoRR, 2022
CoRR, 2022
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems.
CoRR, 2021
Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems.
CoRR, 2021
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout.
CoRR, 2021
2020
IEEE Trans. Evol. Comput., 2020
CoRR, 2020
IEEE Access, 2020
2018
Appl. Math. Comput., 2018
2017
Stochastic symplectic and multi-symplectic methods for nonlinear Schrödinger equation with white noise dispersion.
J. Comput. Phys., 2017
Stochastic symplectic Runge-Kutta methods for the strong approximation of Hamiltonian systems with additive noise.
J. Comput. Appl. Math., 2017