Yuyang Ye
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Yuyang Ye, Ph.D., Postdoctoral Researcher |
BIOGRAPHY
I am Yuyang Ye (叶雨阳 in Chinese), currently a post-doc reseacher at the Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK). Prior to that, I got my Ph.D. from Southeast Univeristy (SEU) in 2024. My research interests include timing analysis, timing optimization and machine learning for EDA.
RESEARCH INTERESTS
Machine Learning for EDA
Timing Analysis
Timing Optimization
PUBLICATIONS
* denotes equal contribution, # denotes corresponding author.
Conference Papers
[C17] Yufan Chen, Leyun Tian, Yuyang Ye, Chuanpu Shi, Hao Yan, ‘‘A Statistical Static Timing Analysis Algorithm Based On Graph Neural Network’’, IEEE International Symposium of EDA (ISEDA), May 9–12, 2025.
[C16] Mingwei He, Leyun Tian, Yaning Jia, Yuyang Ye#, ‘‘ Pre-Routing Timing Estimation Considering Power Delivery Network’’, IEEE International Symposium of EDA (ISEDA), May 9–12, 2025.
[C15] Yuyang Ye, Mingwei He, Lizheng Ren, Jianwang Zhai, Tinghuan Chen, Jun Yang, Longxing Shi, ‘‘ Truly Pre-Routing Timing Prediction via Considering Power Delivery Network", ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 22–25, 2025.
[C14] Yuyang Ye, Xiangfei Hu, Yuchen Liu, Peng Xu, Yu Gong, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi, ‘‘ Rank-based Multi-objective Approximate Logic Synthesis via Monte Carlo Tree Search", ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 22–25, 2025.
[C13] Xiangfei Hu, Yuyang Ye#, Tinghuan Chen, Hao Yan#, Bei Yu, “Timing-driven Approximate Logic Synthesis Based on Double-chase Grey Wolf Optimizer”, Proceedings Design, Automation and Test in Europe (DATE), Lyon, France, Mar. 31–Apr. 02, 2025.
[C12] 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), Taipei, Mar. 12–15, 2025.
[C11] Peng Xu, Su Zheng, Yuyang Ye, Chen Bai, Siyuan Xu, Hao Geng, Tsung-Yi Ho, Bei Yu, “RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), New Jersey, Oct. 27–31, 2024.
[C10] Zun Xue, Yuchen Liu, Yuyang Ye, Tinghuan Chen, Hao Yan, Longxing Shi, “Aging-aware Logic Restructure Acceleration based on Heterogeneous Graph Learning”, IEEE International Symposium of EDA (ISEDA), May 10–13, 2024.
[C9] Guoqing He, Wenjie Ding, Yuyang Ye, Xu Cheng, Qianqian Song, Peng Cao, “An Optimization-aware Pre-Routing Timing Prediction Framework Based on Heterogeneous Graph Learning”, IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Incheon, South Korea, Jan. 22–25, 2024.
[C8] Xu Cheng, Yuyang Ye, Guoqing He, Qianqian Song, Peng Cao, “Statistical Timing Modeling Based on Heterogeneous Graph Attention Network”, IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC}), Incheon, South Korea, Jan. 22–25, 2024.
[C7] Shuaibo Huang, Yuyang Ye, Hao Yan, Longxing Shi, “ARS-Flow: A Design Space Exploration Flow for Accelerator-rich System based on Active Learning”, IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Incheon, South Korea, Jan. 22–25, 2024.
[C6] Yunfan Zuo, Yuyang Ye, Hongchao Zhang, Tinghuan Chen, Hao Yan, Longxing Shi, “A Graph-learning-driven Prediction Method for Combined Electromigration and Thermomigration Stress on Multi-Segment Interconnects”, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Valencia, Spain, March 25-27, 2024.
[C5] Yunfan Zuo, Yuyang Ye, Hao Yan, Longxing Shi, “Fast and accurate electromigration analysis of multi-segment wires”, IEEE International Symposium of EDA (ISEDA), Nanjing, China, May 9-11, 2023.
[C4] Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, “Fast and Accurate Wire Timing Estimation Based on Graph Learning”, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Antwerp, Belgium, April 7-19, 2023.
[C3] Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, ‘‘Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis", IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Tokyo, Japan, Jan. 16–19, 2023.
[C2] Yuyang Ye, Zonghui Wang, Zun Xue, Ziqi Wang, Hao Yan, ‘‘FPGNN-ATPG: An Efficient Fault Parallel Automatic Test Pattern Generator", ACM Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), Knoxville, USA, June 5-7, 2023.
[C1] Leyun Tian, Yuyang Ye, Hao Yan, "GNN-based TICER for RC Reduction on Large-scale Interconnect”, IEEE International Conference on Solid-State Integrated Circuit Technology (ICSICT), Nanjing, China, Oct. 17-19, 2022.
Journal Papers
[J10] Peng Cao#, Zeyuan Deng, Yuhan Dong, Xu Cheng, Yuyang Ye#, Jun Yang, ‘‘StatCHAR: Statistical Timing Characterization Framework via Heterogeneous Graph Attention Network and Active Learning With Parasitic RC Reduction”, accepted by IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I).
[J9] Shuaibo Huang, Yuyang Ye#, Hao Yan, Longxing Shi ‘‘DCTDSE: A Bimodal Design Space Exploration Flow via Discrete Continuous Transformation”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J8] Shuaibo Huang, Yuyang Ye#, Hao Yan, Longxing Shi ‘‘ARS-Flow 2.0: A Enhanced Design Space Exploration Flow for Accelerator-rich System based on Active Learning”, accepted by Integration, the VLSI Journal (Integration).
[J7] Peng Cao#, Yusen Qin, Guoqing He, Wenjie Ding, Xu Cheng, Zhanhua Zhang, Yuyang Ye#, ‘‘An Optimization-aware Pre-Routing Timing Prediction Framework Based on Multi-modal Learning”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J6] Yuyang Ye, Peng Xu, Lizheng Ren, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, “Learning-driven Physically-aware Large-scale Circuit Gate Sizing”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J5] Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, “Timing-driven Technology Mapping Approximation Based on Reinforcement Learning”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J4] Tianzhu Xiong, Yuyang Ye, Xin Si, Jun Yang, “A Hybrid Domain And Pipelined Analog Computing Chain For MVM Computation”, accepted by IEEE Transactions on Very Large Scale Integration Systems (TVLSI).
[J3] Qian Chen, Yuyang Ye, Meng Li, Hao Yan, Longxing Shi, “Optimized matrix ordering of sparse linear solver using a few-shot model for circuit simulation”, accepted by Integration, the VLSI Journal (Integration).
[J2] Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi, “Aging-aware Critical Path Selection via Graph Attention Networks”, accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
[J1] Yuyang Ye, Tinghuan Chen, Zicheng Wang, Hao Yan, Bei Yu, Longxing Shi, “Fast and Accurate Aging-aware Cell Timing Model via Graph Learning”, accepted by IEEE Transactions on Circuits and Systems II (TCAS-II).
SELECTED AWARDS
DAC Phd Forum, 2025
DAC Young Fellow, 2025
Best Ph.D. Dissertation, EDA Ecosystem Development Acceleartor, 2024.
National Endeavour Scholarship, Ministry of Education of China, 2023.
Qilin cup (1/307), EDA Elite Challenge, 2020.