Yuxuan Zhao, Ph.D. Student Department of Computer Science and Engineering The Chinese University of Hong Kong Email: yxzhao21@cse.cuhk.edu.hk

Biography

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).

Research Interest

• VLSI Placement

• 3D ICs

• High Performance Computing in Physical Design

• Machine Learning in EDA

Publication

Journal papers

• [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.

Conference papers

• [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.

Awards

• 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