Design Rule Violation Hotspot Prediction Based on Neural Network Ensembles. - Wei Zeng 015; Azadeh Davoodi; Yu Hen Hu (CoRR, 2018)

Analysis of Security of Split Manufacturing Using Machine Learning. - Wei Zeng 015; Boyu Zhang 001; Azadeh Davoodi (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Explainable DRC Hotspot Prediction with Random Forest and SHAP Tree Explainer. - Wei Zeng 015; Azadeh Davoodi; Rasit Onur Topaloglu (DATE, 2020)

Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. - Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; et al. (DATE, 2021)

Sampling-Based Approximate Logic Synthesis: An Explainable Machine Learning Approach. - Wei Zeng 015; Azadeh Davoodi; Rasit Onur Topaloglu (ICCAD, 2021)

Lorax: Machine Learning-Based Oracle Reconstruction With Minimal I/O Patterns. - Wei Zeng 015; Azadeh Davoodi; Rasit Onur Topaloglu (ISVLSI, 2021)

ObfusX: Routing obfuscation with explanatory analysis of a machine learning attack. - Wei Zeng 015; Azadeh Davoodi; Rasit Onur Topaloglu (Integr., 2023)