31 citations · 81 across the 14 of their papers we have counts for
14 papers
CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning
Xiaoxiao Liang, Haoyu Yang, Kang Liu +2
Optical proximity correction (OPC) is a vital step to ensure printability in modern VLSI manufacturing. Various OPC approaches based on machine learning have been proposed to pursu…
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Guojin Chen, Zehua Pei, Haoyu Yang +3
Lithography is fundamental to integrated circuit fabrication, necessitating large computation overhead. The advancement of machine learning (ML)-based lithography models alleviates…
DevelSet: Deep Neural Level Set for Instant Mask Optimization
Guojin Chen, Ziyang Yu, Hongduo Liu +2
With the feature size continuously shrinking in advanced technology nodes, mask optimization is increasingly crucial in the conventional design flow, accompanied by an explosive gr…
AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns
Wenqian Zhao, Xufeng Yao, Ziyang Yu +4
Optical proximity correction (OPC) is a widely-used resolution enhancement technique (RET) for printability optimization. Recently, rigorous numerical optimization and fast machine…
Adversarial Attacks on Adversarial Bandits
Yuzhe Ma, Zhijin Zhou
We study a security threat to adversarial multi-armed bandits, in which an attacker perturbs the loss or reward signal to control the behavior of the victim bandit player. We show…
Rethinking Graph Neural Networks for the Graph Coloring Problem
Wei Li, Ruxuan Li, Yuzhe Ma +3
Graph coloring, a classical and critical NP-hard problem, is the problem of assigning connected nodes as different colors as possible. However, we observe that state-of-the-art GNN…
Machine Learning for Electronic Design Automation: A Survey
Guyue Huang, Jingbo Hu, Yifan He +13
With the down-scaling of CMOS technology, the design complexity of very large-scale integrated (VLSI) is increasing. Although the application of machine learning (ML) techniques in…
DAMO: Deep Agile Mask Optimization for Full Chip Scale
Guojin Chen, Wanli Chen, Yuzhe Ma +2
Continuous scaling of the VLSI system leaves a great challenge on manufacturing and optical proximity correction (OPC) is widely applied in conventional design flow for manufactura…
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…
CAD Tool Design Space Exploration via Bayesian Optimization
Yuzhe Ma, Ziyang Yu, Bei Yu
The design complexity is increasing as the technology node keeps scaling down. As a result, the electronic design automation (EDA) tools also become more and more complex. There ar…
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.…
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…
Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach
Yuzhe Ma, Subhendu Roy, Jin Miao +2
In spite of maturity to the modern electronic design automation (EDA) tools, optimized designs at architectural stage may become sub-optimal after going through physical design flo…