Bing-Yue Wu

According to our database, Bing-Yue Wu authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CAPO: Certification-Guided Agentic Workflow for Physical Design Parameter Optimization.

Zesong Jiang, Qihang Wu, Bing-Yue Wu, Jeff Zhang

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

Focus Session: Large Language Models in Physical Design: From Data Generation to Intelligent Agents.

Bing-Yue Wu, Atmadip Dey, Austin Rovinski, Vidya A. Chhabria

Proceedings of the Design, Automation & Test in Europe Conference, 2026

DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design.

Bing-Yue Wu, Vidya A. Chhabria

Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025

Invited: IEEE DATC RDF-2025: Enabling an EDA Research Ecosystem.

Vidya A. Chhabria, Amur Ghose, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Zhiang Wang, Bing-Yue Wu

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

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

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

Proceedings of the 42nd IEEE VLSI Test Symposium, 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

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement.

Vikram Gopalakrishnan, Bing-Yue Wu, Vidya Ashok Chhabria

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 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

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 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

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

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

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2022

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

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022