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Tan-Ju Wang

2 accepted papers

2022

Convolutional Autoencoder and Transfer Learning for Automatic Virtual Metrology

RA-L 2022

To ensure stable processing and high-yield production, high-tech factories (e.g., semiconductor, TFT-LCD) demand product quality total inspection. Generally speaking, sampling inspection only measures a few samples and comes with metrology delay, thus it usually cannot achieve the goal of real-time

Cited by 7SourceScholar
2021

Convolutional Neural Networks for Automatic Virtual Metrology

RA-L 2021

To ensure stable manufacturing and high yield of production, factories (e.g., semiconductor or TFT-LCD fabs) conduct quality inspection on workpieces. They tend to adopt sampling inspection in consideration of reducing cost and cycle time, yet that fails to achieve real-time and online total inspect

Cited by 13SourceScholar