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Automatic Routability Predictor Development Using Neural Architecture Search
Published in IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2021
This paper presents an automated approach to develop routability predictors using neural architecture search techniques.
Recommended citation: Chen-Chia Chang, Jingyu Pan, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen. (2021). "Automatic Routability Predictor Development Using Neural Architecture Search." IEEE/ACM International Conference on Computer Aided Design (ICCAD).
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Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data
Published in ACM/IEEE Design Automation Conference (DAC), 2022
This paper explores federated learning approaches for routability estimation while preserving data privacy in EDA workflows.
Recommended citation: Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen. (2022). "Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data." ACM/IEEE Design Automation Conference (DAC).
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Robustify ML-based Lithography Hotspot Detectors
Published in IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2022
This paper presents methods to improve the robustness of machine learning-based lithography hotspot detection systems.
Recommended citation: Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Jiang Hu, Yiran Chen. (2022). "Robustify ML-based Lithography Hotspot Detectors." IEEE/ACM International Conference on Computer Aided Design (ICCAD).
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