11 citations · 33 across the 6 of their papers we have counts for
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cs.LG2022★ 11 cited
Enhanced DeepONet for Modeling Partial Differential Operators Considering Multiple Input Functions
Lesley Tan, Liang Chen
Machine learning, especially deep learning is gaining much attention due to the breakthrough performance in various cognitive applications. Recently, neural networks (NN) have been…
cs.LG2021
Physics-Enforced Modeling for Insertion Loss of Transmission Lines by Deep Neural Networks
Liang Chen, Lesley Tan
In this paper, we investigate data-driven parameterized modeling of insertion loss for transmission lines with respect to design parameters. We first show that direct application o…
cs.LG2019★ 11 cited
A New CGAN Technique for Constrained Topology Design Optimization
M. -H. Herman Shen, Liang Chen
This paper presents a new conditional GAN (named convex relaxing CGAN or crCGAN) to replicate the conventional constrained topology optimization algorithms in an extremely effectiv…