126 citations · 289 across the 6 of their papers we have counts for
6 papers
LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces
Shuhan Zhang, Fan Yang, Changhao Yan +2
A large body of literature has proved that the Bayesian optimization framework is especially efficient and effective in analog circuit synthesis. However, most of the previous rese…
An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble
Shuhan Zhang, Fan Yang, Changhao Yan +2
Bayesian optimization is a promising methodology for analog circuit synthesis. However, the sequential nature of the Bayesian optimization framework significantly limits its abilit…
An Efficient Asynchronous Batch Bayesian Optimization Approach for Analog Circuit Synthesis
Shuhan Zhang, Fan Yang, Dian Zhou +1
In this paper, we propose EasyBO, an Efficient ASYnchronous Batch Bayesian Optimization approach for analog circuit synthesis. In this proposed approach, instead of waiting for the…
Projection based Active Gaussian Process Regression for Pareto Front Modeling
Zhengqi Gao, Jun Tao, Yangfeng Su +2
Pareto Front (PF) modeling is essential in decision making problems across all domains such as economics, medicine or engineering. In Operation Research literature, this task has b…
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network
Shuhan Zhang, Wenlong Lyu, Fan Yang +3
Bayesian optimization with Gaussian process as surrogate model has been successfully applied to analog circuit synthesis. In the traditional Gaussian process regression model, the…
An Efficient Multi-fidelity Bayesian Optimization Approach for Analog Circuit Synthesis
Shuhan Zhang, Wenlong Lyu, Fan Yang +4
This paper presents an efficient multi-fidelity Bayesian optimization approach for analog circuit synthesis. The proposed method can significantly reduce the overall computational…