✨ About me

I am currently a Ph.D. candidate in Computer Science and Engineering at The Chinese University of Hong Kong (CUHK), starting Fall 2025, under the supervision of Prof. Tsung-Yi Ho, with additional guidance from Prof. Bei Yu. Prior to joining CUHK, I obtained my M.S. degree in Integrated Circuit Science and Engineering from Beihang University (BUAA), where I conducted research under the guidance of Prof. Wei Xing and Prof. Yue Zhang.

🔮 Research Interests

2024.12: ✨ I am featured on the official WeChat account and website of Beihang University. | [link]
2024.11: 🎉 One paper has been accepted by DATE 2025!
2024.09: 🎯 I will pursue a PhD in Computer Science and Engineering (CSE) at CUHK in August next year!
2024.06: 🎉 One paper has been accepted by ICCAD 2024!
2024.02: 🎉 One paper has been accepted by DAC 2024!
2023.09: 🎉 One paper has been accepted by ASP-DAC 2024!
2023.07: 🎉 One paper has been accepted by ICCAD 2023!
2023.02: 🎉 One paper has been accepted by DAC 2023!

[C1] DATE 2025 FUSIS: Fusing Surrogate Models and Importance Sampling for Efficient Yield Estimation, Yanfang Liu, Wei W. Xing. 2025 Design, Automation & Test in Europe Conference (DATE), Lyon, France, 2025.

[C2] ICCAD 2024 Beyond the Yield Barrier: Variational Importance Sampling Yield Analysis, Yanfang Liu, Lei He, Wei W. Xing. 2024 43rd IEEE/ACM International Conference on Computer-Aided Design (ICCAD), New York, NY, USA.

[C3] ASP-DAC 2024 CIS: Conditional Importance Sampling for Yield Optimization of Analog and SRAM Circuits, Yanfang Liu, Wei W. Xing. 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), Incheon, Korea, Republic of, 2024.

[C4] ICCAD 2023 (Best Paper Nomination) OPT: Optimal Proposal Transfer for Efficient Yield Optimization for Analog and SRAM Circuits, Yanfang Liu, Guohao Dai, Yuanqing Cheng, Wang Kang, Wei W. Xing. 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), San Francisco, CA, USA, 2023.

[C5] DAC 2023 Seeking the yield barrier: High-dimensional sram evaluation through optimal manifold, Yanfang Liu, Guohao Dai, Wei W. Xing. 2023 60th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, 2023.

[C6] DAC 2024 Every Failure Is A Lesson: Utilizing All Failure Samples To Deliver Tuning-Free Efficient Yield Evaluation, Wei W. Xing, Yanfang Liu, Weijian Fan, Lei He. 2024 61st ACM/IEEE Design Automation Conference (DAC). New York, NY, USA, 2024.

2024.10 National Scholarship (Master).
2023.10 National Scholarship (Master) (Top 1%).
2020.10 National Scholarship (Undergraduate) (Top 1%).
2024.11 Outstanding Master’s Thesis Award.
2024.11 Beijing Outstanding Graduate.
2024.06 Top Ten Graduate Award (Highest Honor for Graduate Students at Beihang University).
2024.05 Huawei Scholarship.
2022.06 Outstanding Bachelor’s Thesis Award.
2020.12 Outstanding Student of Shandong Province.