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04/11/2023
Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection
Adversarial attacks in the physical world can harm the robustness of det...
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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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09/01/2022
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites
The rapid analysis of thermal stress and deformation plays a pivotal rol...
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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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05/02/2022
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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03/29/2022
Parameterized Consistency Learning-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis in Aerospace Engineering
Polynomial chaos expansion (PCE) is a powerful surrogate model-based rel...
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03/15/2022
A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain
In the whole aircraft structural optimization loop, thermal analysis pla...
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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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02/14/2022
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis
Temperature field reconstruction is essential for analyzing satellite he...
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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
