31 citations · 89 across the 13 of their papers we have counts for
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cs.LG2019
VLSI Mask Optimization: From Shallow To Deep Learning
Haoyu Yang, Wei Zhong, Yuzhe Ma +4
VLSI mask optimization is one of the most critical stages in manufacturability aware design, which is costly due to the complicated mask optimization and lithography simulation. Re…
cs.LG2019
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation
Haoyu Yang, Wen Chen, Piyush Pathak +3
Machine learning-based lithography hotspot detection has been deeply studied recently, from varies feature extraction techniques to efficient learning models. It has been observed…
cs.LG2019★ 11 cited
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection
Kang Liu, Haoyu Yang, Yuzhe Ma +5
There is substantial interest in the use of machine learning (ML) based techniques throughout the electronic computer-aided design (CAD) flow, particularly those based on deep lear…