10 citations · 18 across the 6 of their papers we have counts for
6 papers
Macro Placement by Wire-Mask-Guided Black-Box Optimization
Yunqi Shi, Ke Xue, Lei Song +1
The development of very large-scale integration (VLSI) technology has posed new challenges for electronic design automation (EDA) techniques in chip floorplanning. During this proc…
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song, Ke Xue, Xiaobin Huang +1
Bayesian optimization (BO) is a class of popular methods for expensive black-box optimization, and has been widely applied to many scenarios. However, BO suffers from the curse of…
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…