About Me

Hi! I’m Bing-Yue Wu, and you can call me Bing. I am currently a Ph.D. candidate in the ECEE department at Arizona State University. My research interests include generative AI-based electronic design automation (EDA) enablement and solutions, large language model-powered EDA solutions, and open-source EDA tools.

I received M.S. and B.S. in electrical engineering, both from National Taiwan University of Science and Technology (Taiwan Tech, NTUST), Taiwan. Previously, I was advised by Prof. Shao-Yun Fang.

For detailed descriptions: CV (as of Sep. 2026)

Recent News

2026

[Sep. 2026] Our paper "EvoDRC: A Self-Evolving Agentic Framework for Automated DRC Violation Repair" has been accepted to ASP-DAC, and I will present it in Tokyo, Japan!
[Sep. 2026] I will be in Austin, TX this fall as an intern at Tenstorrent!
[Jul. 2026] Our paper "Toward Agentic Solutions for DRC Challenges in Digital VLSI Design," was presented at DAC, in Long Beach, CA!
[Jun. 2026] Our paper "CAPO: Certification-Guided Agentic Workflow for Physical Design Parameter Optimization," was presented at GLSVLSI, in Canandaigua, NY!
[May 2026] I was selected as a winner of the Qualcomm Innovation Fellowship with Atmadip Dey from ASU. Grateful for the support from our advisor!
[Apr. 2026] Our paper "Focus Session: Large Language Models in Physical Design: From Data Generation to Intelligent Agents," was presented at DATE, in Verona, Italy!
[Jan. 2026] Our paper "DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design," was presented at ASP-DAC, in Hong Kong, China!

2025

[Oct. 2025] Our paper "Invited: IEEE DATC RDF-2025: Enabling an EDA Research Ecosystem" was presented at ICCAD in Munich, Germany!
[Jun. 2025] Our paper "OpenROAD Agent: An Intelligent Self-Correcting Script Generator for OpenROAD" was presented at ICLAD in Stanford, CA!

2024

[Oct. 2024] I organized Problem C for the CAD Contest at ICCAD, served as a topic chair, and presented the awards at ICCAD in Newark, NJ! (More info)
[Oct. 2024] Our paper "Strengthening the Foundations for IC Physical Design and ML EDA Research" was presented at ICCAD in Newark, NJ!
[Oct. 2024] Our paper "Generative Methods in EDA: Innovations in Dataset Generation and EDA Tool Assistants" was presented at ICCAD in Newark, NJ!
[Oct. 2024] Our paper "2024 ICCAD CAD Contest Problem C: Scalable Logic Gate Sizing Using ML Techniques and GPU Acceleration" was presented at ICCAD in Newark, NJ!
[Sep. 2024] Our paper "OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks" was presented at MLCAD in Snowbird, Utah!
[Aug. 2024] Our paper "ML-INSIGHT: Machine Learning for Inrush Current Prediction and Power Switch Network Improvement" was presented at ISLPED in Newport Beach, CA!
[Jun. 2024] Our paper "EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD" was presented at LAD in San Jose, CA!
[Apr. 2024] Our paper "OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education" was presented at VTS in Tempe, AZ!
[Jan. 2024] I gave a technical tutorial on NVIDIA CircuitOps and the OpenROAD Python API at ASP-DAC in Incheon, South Korea! (More info)

Education

Doctoral Studies in Electrical Engineering, 2023-2026
Ph.D. candidacy achieved, 2026
Arizona State University, USA

M.S. in Electrical Engineering, 2023
National Taiwan University of Science and Technology (Taiwan Tech, NTUST), Taiwan

B.S. in Electrical Engineering, 2020
National Taiwan University of Science and Technology (Taiwan Tech, NTUST), Taiwan