1 citations · 2 across the 4 of their papers we have counts for
4 papers
Neural Network Pruning by Cooperative Coevolution
Haopu Shang, Jia-Liang Wu, Wenjing Hong +1
Neural network pruning is a popular model compression method which can significantly reduce the computing cost with negligible loss of accuracy. Recently, filters are often pruned…
An Adaptive and Scalable ANN-based Model-Order-Reduction Method for Large-Scale TO Designs
Ren Kai Tan, Chao Qian, Dan Xu +1
Topology Optimization (TO) provides a systematic approach for obtaining structure design with optimum performance of interest. However, the process requires numerical evaluation of…
An adaptive artificial neural network-based generative design method for layout designs
Chao Qian, Renkai Tan, Wenjing Ye
Layout designs are encountered in a variety of fields. For problems with many design degrees of freedom, efficiency of design methods becomes a major concern. In recent years, mach…
Accelerating gradient-based topology optimization design with dual-model neural networks
Chao Qian, Wenjing Ye
Topology optimization (TO) is a common technique used in free-form designs. However, conventional TO-based design approaches suffer from high computational cost due to the need for…