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Xingquan Li, PhD.
Pengcheng Laboratory
The Chinese University of Hong Kong,
E-mail: fzulxq@gmail.com, lixq01@pcl.ac.cn, xingquanli@cuhk.edu.hk

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About me

Dr. Xingquan Li is an associate researcher at Pengcheng Laboratory (PCL). He received the Ph.D degree from Fuzhou University in 2018. His research interesting includes EDA and AI for EDA. His team has developed an Open-source infrastructure of EDA (iEDA). He has published over 60 papers in journals and conferences such as TCAD, TC, TVLSI, TODAES, SCIENCE CHINA, DAC, ICCAD, DATE, ICCD, ASP-DAC, ISPD, ISCAS, ISEDA, NeurIPS and has filed 13 invention patents. He has achieved first-place award from ICCAD@CAD Contest three times in 2017, 2018, and 2022. In 2020, he was honored with the Operational Research Application Award from the Chinese Operations Research Society. In 2023, he received the Best Paper Award from ISEDA.

Research

My research interests include

  • Electronic Design Automation (EDA)

  • Computers-Aided Design (CAD)

  • AI for Electronic Design Automation (AIEDA)

  • Machine Learning for Optimization (MLO)

Find out more.

Recent Publications

  • Shijian Chen, Yihang Qiu, Biwei Xie, Mingyu Chen and Xingquan Li, A Fast, Iterative Clock Skew Scheduling Algorithm with Dynamic Sequential Graph Extraction,in Proceedings of Design Automation Conference (DAC), 2025. (CCF-A)

  • Wenchao Li, Hongxi Wu, Duanxiang Liu, Xingquan Li and Wenxing Zhu, Differentiable Net-Moving and Local Congestion Mitigation for Routability-Driven Global Placement,in Proceedings of Design Automation Conference (DAC), 2025. (CCF-A)

  • Xiaoze Lin, Liyang Lai, Huawei Li, Biwei Xie and Xingquan Li, An Efficient Parallel Fault Simulator for Functional Patterns on Multi-core Systems, IEEE/ACM Design, Automation and Test in Europe Conference (DATE), 2025. (CCF-B)

  • Xueyan Zhao, Weiguo Li, Zhisheng Zeng, Zhipeng Huang, Biwei Xie, Xingquan Li, Yungang Bao, Toward Advancing 3D-ICs Physical Design: Challenges and Opportunities, in Proceedings of the 28th Asia and South Pacific Design Automation Conference (ASP-DAC), 2025. (CCF-C)

  • Jie Zhao, Biwei Xie, and Xingquan Li, QR-DeepONet: Resolve abnormal convergence issue related to basis dimension in DeepONet, Machine Learning, Science, 2025. (SCI Q1)

  • Junfeng Liu, Liwei Ni, Lei Chen, Xing Li, Qinghua Zhao, Xingquan Li, Shuai Ma, A Delay-driven Iterative Technology Mapping Framework, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025. (CCF-A)

Full list of publications.

CV

brief cv.