most citedHigh-Dimensional Uncertainty Quantification of Electronic and Photonic IC with Non-Gaussian Correlated Process Variations

4 citations · 4 across the 1 of their papers we have counts for

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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…