22 citations · 79 across the 16 of their papers we have counts for
Showing math.OCShow all
3 papers · 1 filter
math.OC2021
PoBO: A Polynomial Bounding Method for Chance-Constrained Yield-Aware Optimization of Photonic ICs
Zichang He, Zheng Zhang
Conventional yield optimization algorithms try to maximize the success rate of a circuit under process variations. These methods often obtain a high yield but reach a design perfor…
math.OC2019
Tensor Methods for Generating Compact Uncertainty Quantification and Deep Learning Models
Chunfeng Cui, Cole Hawkins, Zheng Zhang
Tensor methods have become a promising tool to solve high-dimensional problems in the big data era. By exploiting possible low-rank tensor factorization, many high-dimensional mode…
math.OC2019
Chance-Constrained and Yield-aware Optimization of Photonic ICs with Non-Gaussian Correlated Process Variations
Chunfeng Cui, Kaikai Liu, Zheng Zhang
Uncertainty quantification has become an efficient tool for uncertainty-aware prediction, but its power in yield-aware optimization has not been well explored from either theoretic…