41 citations · 74 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Recent Advances in Convolutional Neural Network Acceleration
Qianru Zhang, Meng Zhang, Tinghuan Chen +3
In recent years, convolutional neural networks (CNNs) have shown great performance in various fields such as image classification, pattern recognition, and multi-media compression.…
Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning
Haoyu Yang, Shuhe Li, Cyrus Tabery +2
Layout hotpot detection is one of the main steps in modern VLSI design. A typical hotspot detection flow is extremely time consuming due to the computationally expensive mask optim…
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks
Yuzhe Ma, Ran Chen, Wei Li +4
Deep neural networks (DNNs) have achieved significant success in a variety of real world applications, i.e., image classification. However, tons of parameters in the networks restr…