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20212026
most citedTemperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks

96 citations · 245 across the 21 of their papers we have counts for

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6 papers · 1 filter

cs.LG2021★ 11 cited

Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data

Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang +2

Recently, surrogate models based on deep learning have attracted much attention for engineering analysis and optimization. As the construction of data pairs in most engineering pro…

cs.CV2021★ 3 cited

FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack

Donghua Wang, Tingsong Jiang, Jialiang Sun +5

Physical adversarial attacks in object detection have attracted increasing attention. However, most previous works focus on hiding the objects from the detector by generating an in…

cs.LG2021★ 33 cited

A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source Systems

Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao +2

Temperature field reconstruction of heat source systems (TFR-HSS) with limited monitoring sensors occurred in thermal management plays an important role in real time health detecti…

cs.LG2021★ 1 cited

RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks

Yufeng Xia, Jun Zhang, Zhiqiang Gong +2

Deep neural networks (DNNs) have successfully learned useful data representations in various tasks. However, assessing the reliability of these representations remains a challenge.…

cs.LG2021★ 20 cited

Joint Deep Reversible Regression Model and Physics-Informed Unsupervised Learning for Temperature Field Reconstruction

Zhiqiang Gong, Weien Zhou, Jun Zhang +2

Temperature monitoring during the life time of heat source components in engineering systems becomes essential to guarantee the normal work and the working life of these components…

cs.LG2021★ 9 cited

A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout

Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong +4

Thermal issue is of great importance during layout design of heat source components in systems engineering, especially for high functional-density products. Thermal analysis genera…