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04/20/2023
A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications
Wide deployment of deep neural networks (DNNs) based applications (e.g.,...
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02/20/2023
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator
Perception of the full state is an essential technology to support the m...
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01/17/2023
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network
Temperature field prediction is of great importance in the thermal desig...
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10/19/2022
Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks
Physics-informed neural networks (PINNs) have been proposed to solve two...
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05/16/2022
Heat Source Layout Optimization Using Automatic Deep Learning Surrogate and Multimodal Neighborhood Search Algorithm
In satellite layout design, heat source layout optimization (HSLO) is an...
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05/14/2022
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data
Physics-informed extreme learning machine (PIELM) has recently received ...
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05/02/2022
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks
Learning solutions of partial differential equations (PDEs) with Physics...
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03/07/2022
Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation
Neural architecture search (NAS) could help search for robust network ar...
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01/18/2022
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks
Temperature field inversion of heat-source systems (TFI-HSS) with limite...
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09/15/2021
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack
Physical adversarial attacks in object detection have attracted increasi...
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07/23/2021
A novel meta-learning initialization method for physics-informed neural networks
Physics-informed neural networks (PINNs) have been widely used to solve ...
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07/09/2021
IDRLnet: A Physics-Informed Neural Network Library
Physics Informed Neural Network (PINN) is a scientific computing framewo...
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06/22/2021
Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems
Temperature monitoring during the life time of heat source components in...
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03/20/2021
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout
Thermal issue is of great importance during layout design of heat source...
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04/17/2020