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Ziyi WangPh.D. student Department of Computer Science and Engineering |
Biography
I am currently a Ph.D. student at the Department of Computer Science and Engineering,
The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Bei Yu from Fall 2021.
Previously, I received my B.S. in the Department of Computer Science and Technology from Fudan University.
My research interests include machine learning in EDA and Graph learning.
Besides research, I love playing badminton in my spare time.
News
2023.2.14 Congratulation! Two publications in DAC as first/co-first author!
2022.11.17 Congratulation! Frist publication in TCAD!
2022.02.13 Congratulation! Our work on netlist learning is recieved by DAC!
2021.07.14 Congratulation! First publication in ICCAD as co-first author!
Publications
Journal Papers
Siting Liu*, Ziyi Wang*, Fangzhou Liu, Yibo Lin, Bei Yu, Martin D.F. Wong, “Sign-off Timing Considerations via Concurrent Routing Topology Optimization”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.
Ziyi Wang, Wenqian Zhao, Yuan Pu, Lei Chen, Wilson Wang Kit Thong, Weihua Sheng, Tsung-Yi Ho, Bei Yu, “ParSGCN: Bridging the Gap Between Emulation Partitioning and Scheduling”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.
Ziyi Wang, Chen Bai, Zhuolun He, Guangliang Zhang, Qiang Xu, Tsung-Yi Ho, Yu Huang, Bei Yu, “FGNN2: A Powerful Pre-Training Framework for Learning the Logic Functionality of Circuits”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.
Ziyi Wang*, Zhuolun He*, Chen Bai, Haoyu Yang, Bei Yu, “Efficient Arithmetic Block Identification with Graph Learning and Network-flow”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022.
Conference Papers
Ziyi Wang*, Siting Liu*, Yuan Pu, Song Chen, Tsung-Yi Ho, Bei Yu, “Restructure-Tolerant Timing Prediction via Multimodal Fusion”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jul. 09–13, 2023.
Siting Liu*, Ziyi Wang*, Fangzhou Liu, Yibo Lin, Bei Yu, Martin Wong, “Concurrent Sign-off Timing Optimization via Deep Steiner Points Refinement”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jul. 09–13, 2023. (* represents equal contribution)
Ziyi Wang, Chen Bai, Zhuolun He, Guangliang Zhang, Qiang Xu, Tsung-Yi Ho, Bei Yu, Yu Huang, “Functionality Matters in Netlist Representation Learning”, ACM/IEEE Design Automation Conference (DAC), Jul. 10–14, 2022.
Zhuolun He*, Ziyi Wang*, Chen Bai, Haoyu Yang, Bei Yu, “Graph Learning-Based Arithmetic Block Identification”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1–4, 2021. (* represents equal contribution)
Yuan Pu, Fangzhou Liu, Zhuolun He, Keren Zhu, Rongliang Fu, Ziyi Wang, Tsung-Yi Ho, Bei Yu, "HeLO: A Heterogeneous Logic Optimization Framework by Hierarchical Clustering and Graph Learning,", ACM International Symposium on Physical Design (ISPD), 2025.
Fangzhou Liu, Guannan Guo, Yuyang Ye, Ziyi Wang, Wenjie Fu, Weihua Sheng, Bei Yu, “GraphCAD: Leveraging Graph Neural Networks for Accuracy Prediction Handling Crosstalk-affected Delays”, ACM International Symposium on Physical Design (ISPD), 2025.
Xinyun Zhang, Binwu Zhu, Fangzhou Liu, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu, "Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes", ACM/IEEE Design Automation Conference (DAC), 2024.
Siting Liu, Jiaxi Jiang, Zhuolun He, Ziyi Wang, Yibo Lin, Bei Yu, Martin Wong, "Routing-aware Legal Hybrid Bonding Terminal Assignment for 3D Face-to-Face Stacked ICs", Proceedings of the 2024 International Symposium on Physical Design (ISPD), 2024.
Education
Ph.D. Computer Science and Engineering, The Chinese University of Hong Kong, Aug 2021 - present
B.S. Computer Science and Technology, Fudan University, Sept 2016 - Jun 2021