SpeedER: A Supervised Encoder-Decoder Driven Engine for Effective Resistance Estimation of Power Delivery Networks. - Bing-Yue Wu; Shao-Yun Fang; Hsiang-Wen Chang; Peter Wei (MLCAD, 2022)

Strengthening the Foundations for IC Physical Design and ML EDA Research. - Vidya A. Chhabria; Vikram Gopalakrishnan; Andrew B. Kahng; Sayak Kundu; Zhiang Wang; Bing-Yue Wu; Dooseok Yoon (ICCAD, 2024)

Generative Methods in EDA: Innovations in Dataset Generation and EDA Tool Assistants. - Vidya A. Chhabria; Bing-Yue Wu; Utsav Sharma; Kishor Kunal; Austin Rovinski; Sachin S. Sapatnekar (ICCAD, 2024)

2024 ICCAD CAD Contest Problem C: Scalable Logic Gate Sizing Using ML Techniques and GPU Acceleration. - Bing-Yue Wu; Rongjian Liang; Geraldo Pradipta; Anthony Agnesina; Haoxing Ren; Vidya A. Chhabria (ICCAD, 2024)

ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement. - Vikram Gopalakrishnan; Bing-Yue Wu; Vidya Ashok Chhabria (ISLPED, 2024)

OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks. - Utsav Sharma; Bing-Yue Wu; Sai Rahul Dhanvi Kankipati; Vidya A. Chhabria; Austin Rovinski (MLCAD, 2024)

OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education. - Vidya A. Chhabria; Wenjing Jiang; Andrew B. Kahng; Rongjian Liang; Haoxing Ren; Sachin S. Sapatnekar; Bing-Yue Wu (VTS, 2024)

EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD. - Bing-Yue Wu; Utsav Sharma; Sai Rahul Dhanvi Kankipati; Ajay Yadav; Bintu Kappil George; Sai Ritish Guntupalli; Austin Rovinski; Vidya A. Chhabria (CoRR, 2024)

DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design. - Bing-Yue Wu; Vidya A. Chhabria (CoRR, 2025)