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Yuxuan Zhao, Ph.D. Student |
I am a Ph.D. candidate at Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Bei Yu since Fall 2021. Previously, I received my B.Eng. in Information Engineering at Zhejiang University (ZJU).
VLSI Placement
3D ICs
High Performance Computing in Physical Design
Machine Learning in EDA
[J4] Jiaxi Jiang, Yuan Pu, Mingjun Li, Yuxuan Zhao, Peiyu Liao, Zuodong Zhang, Yibo Lin, Bei Yu, “RegPlace: Regularity-aware Placement for Full-System DNN Accelerator Designs”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
[J3] Yuntao Lu, Chen Bai, Yuxuan Zhao, Ziyue Zheng, Yangdi Lyu, Mingyu Liu, Bei Yu, “DeepVerifier: Learning to Update Test Sequences for Coverage-Guided Verification”, ACM Transactions on Design Automation of Electronic Systems (TODAES), 2025.
[J2] Yuxuan Zhao*, Peiyu Liao*, Siting Liu, Jiaxi Jiang, Yibo Lin, Bei Yu, “Analytical Heterogeneous Die-to-Die 3D Placement with Macros”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.
[J1] Peiyu Liao*, Yuxuan Zhao*, Dawei Guo, Yibo Lin, Bei Yu, “Analytical Die-to-Die 3D Placement with Bistratal Wirelength Model and GPU Acceleration”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023.
[C8] Peiyu Liao*, Yuxuan Zhao*, Siting Liu, Bei Yu, “Ultrafast Density Gradient Accumulation in 3D Analytical Placement with Divergence Theorem”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Munich, Oct. 26–30, 2025.
[C7] Yuxuan Zhao, Feng Gu, Siting Liu, Peiyu Liao, Bei Yu, “H3D: Heterogeneous Resources Aware Global Router for Face-to-Face Bonded 3D ICs”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Munich, Oct. 26–30, 2025.
[C6] Yuxuan Zhao, Peiyu Liao, Bei Yu, “3D-Flow: Flow-based Standard Cell Legalization for 3D ICs”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 22–25, 2025.
[C5] Xun Jiang, Haoran Lu, Yuxuan Zhao, Jiarui Wang, Zizheng Guo, Heng Wu, Bei Yu, Sung Kyu Lim, Runsheng Wang, Ru Huang, Yibo Lin, “A Systematic Approach for Multi-Objective Double-Side Clock Tree Synthesis”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 22–25, 2025.
[C4] Yuxuan Zhao, Lancheng Zou, Bei Yu, “Physical Design for Advanced 3D ICs: Challenges and Solutions”, ACM International Symposium on Physical Design (ISPD), Austin, Mar. 16–19, 2025. (Invited Paper)
[C3] Yuxuan Zhao, Qi Sun, Zhuolun He, Yang Bai, Bei Yu, “AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution”, AAAI Conference on Artificial Intelligence (AAAI), Feb. 7–14, 2023. (Oral)
[C2] Qi Sun, Xinyun Zhang, Hao Geng, Yuxuan Zhao, Yang Bai, Haisheng Zheng, Bei Yu, “GTuner: Tuning DNN Computations on GPU via Graph Attention Network”, ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jul. 10–14, 2022.
[C1] Haoyu Yang, Kit Fung, Yuxuan Zhao, Yibo Lin, Bei Yu, “Mixed-Cell-Height Legalization on CPU-GPU Heterogeneous Systems”, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Mar. 14–23, 2022.
DAC Young Fellow Award, DAC, 2025
3rd Place Award in CAD Contest, ICCAD, 2022
Hong Kong PhD Fellowship, CUHK, 2021
First-Class Scholarship for Outstanding Merits, ZJU, 2017, 2018, 2019
National Scholarship, ZJU, 2017