| Logic synthesis meets machine learning: Trading exactness for generalization S Rai, WL Neto, Y Miyasaka, X Zhang, M Yu, Q Yi, M Fujita, GB Manske, ... 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | 29 | 2021 |
| Analysis of security of split manufacturing using machine learning W Zeng, B Zhang, A Davoodi IEEE Transactions on Very Large Scale Integration (VLSI) Systems 27 (12 …, 2019 | 28 | 2019 |
| Explainable DRC hotspot prediction with random forest and SHAP tree explainer W Zeng, A Davoodi, RO Topaloglu 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 18 | 2020 |
| C-yes: An efficient parametric yield estimation approach for analog and mixed-signal circuits based on multicorner-multiperformance correlations W Zeng, H Zhu, X Zeng, D Zhou, R Liu, X Li IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016 | 12 | 2016 |
| Design rule violation hotspot prediction based on neural network ensembles W Zeng, A Davoodi, YH Hu arXiv preprint arXiv:1811.04151, 2018 | 10 | 2018 |
| ObfusX: routing obfuscation with explanatory analysis of a machine learning attack W Zeng, A Davoodi, RO Topaloglu Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 7 | 2021 |
| Sampling-Based Approximate Logic Synthesis: An Explainable Machine Learning Approach W Zeng, A Davoodi, RO Topaloglu 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 3 | 2021 |
| Lorax: Machine Learning-Based Oracle Reconstruction With Minimal I/O Patterns W Zeng, A Davoodi, RO Topaloglu 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 126-131, 2021 | 3 | 2021 |
| ObfusX: Routing obfuscation with explanatory analysis of a machine learning attack W Zeng, A Davoodi, RO Topaloglu Integration 89, 47-55, 2023 | | 2023 |
| Explainable Artificial Intelligence for Better Design of Very Large Scale Integrated Circuits W Zeng The University of Wisconsin-Madison, 2021 | | 2021 |
