Open-Source EDA & AI-Driven Chip Design
Southeast University (SEU) & Chinese University of Hong Kong (CUHK)
We develop open-source EDA infrastructure and AI-aided design tools that push the frontier of intelligent chip design automation.
Leading development of iEDA – a complete open-source physical implementation toolchain covering floorplan, placement, clock tree synthesis, routing, timing, and DRC.
Building the AiEDA library and iDATA vector dataset. Machine learning models for placement, routing, timing prediction, logic optimization, and design rule checking.
Pre-training foundation models (iPCL) on chip layout data to enable zero-intervention layout generation and cross-stage design optimization.
Leveraging large language models to automate RTL generation, EDA scripting, design space exploration, and natural-language-driven chip design flows.
Applying reinforcement learning, graph neural networks, and transformer architectures to combinatorial optimization problems in EDA and beyond.
Extending EDA principles to photonic integrated circuits, exploring AI-driven design flows for next-generation optical computing devices.
Open-Source Intelligent Physical Implementation Toolchain
A complete EDA infrastructure for placement, routing, CTS, timing optimization, and DRC – built for research and industry use.
AI-Aided Design Library for Design-to-Vector
An open-source AI library bridging chip design and machine learning – from feature extraction and vector datasets to trained models and benchmark evaluation.
Pre-training for Chip Layout – Large Layout Model
Foundation model pre-trained on large-scale chip layout data. Enables layout generation and metric evaluation without manual intervention or EDA tool execution.
Google Scholar Full Publication List (70+ papers)
IEEE TCAD, 2025 (CCF-A)
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025 (CCF-A)
IEEE TCAD, 2025 (CCF-A)
ISEDA, 2023 (Best Paper Award)
Our code, models, and datasets are publicly available. We welcome contributions and collaborations from the community.
Xingquan Li (李兴权), Associate Professor
Southeast University (SEU) & Chinese University of Hong Kong (CUHK)
Room 401, Chuangzhi Building B, No. 17 Xinghuo Road, Pukou District, Nanjing, China