Yuxiang Zhao

Yuxiang Zhao

Peking University

I am currently a third-year Ph.D. candidate at Peking University, advised by Professor Yibo Lin. Previously, I obtained my Master’s degree in 2022 from the University of Chinese Academy of Sciences, ShenZhen Institute of Advanced Technology, MMLab, where I was co-advised by Professors Shifeng Chen, Chao Dong, and Yu Qiao.

My currently research insterests lie in AI-driven methodologies for physical design automation.

🔥 News

  • 2025.05:   Our paper DeepLayout is accepted by ICML 2025.

  • 2024.11:   Our paper PDNNet is accepted by TCAD.
  • 2024.08:   Our paper Large Circuit Model is accepted by Science China.
  • 2024.02:   Our paper CircuitNet2.0 is accepted by ICLR 2024.

  • 2024.01:   Our paper PowPrediCT is accepted by ICLR 2024.

  • 2023.08:   Our paper Accelerating Routability and Timing Optimization with Open-Source AI4EDA Dataset CircuitNet and Heterogeneous Platforms is accepted by ICCAD 2023.
  • 2023.05:   Our paper CircuitNet is accepted by TCAD.
  • 2023.03:   Our paper HybridNet is accepted by ISEDA 2023.

  • 2023.01:   Our paper Rethinking 3D cost aggregation in stereo matchin is accepted by PRL.

  • 2022.11   Winner in EDAthon 2022 programming contest.
  • 2022.10:   Our paper CircuitNet is accepted by Science China.
  • 2022.09   Joined CECA@PKU as research assiatant. Started working on AI4EDA.

  • 2022.06   Graduated with outstanding student award of UCAS.

  • 2021.07:   Our paper DSANet is accepted by ACMMM 2021.
  • 2021.05:   Our paper Good Practices and a Strong Baseline for Traffic Anomaly Detection is accepted by CVPRW 2021.

  • 2021.04:   Winner in the Traffic Anomaly Detection Track of the CVPR 2021 AI CITY CHALLENGE.

  • 2019.09   Joined MMLab@SIAT as research assiatant. Started working on Computer Vision.
  • 2019.06   Graduated with provincial outstanding graduate honor.

📝 Publications

ICML 2025
sym

DeepLayout: Learning Neural Representations of Circuit Placement Layout

  • accepted
  • Yuxiang Zhao, Zhuomin Chai, Xun Jiang, Qiang Xu, Runsheng Wang, Yibo Lin
  • International Conference on Machine Learning (ICML), Vancouver, Canada, Jul 13-19, 2025.
TCAD
sym

PDNNet: PDN-Aware GNN-CNN Heterogeneous Network for Dynamic IR Drop Prediction

  • preprint
  • Yuxiang Zhao, Zhuomin Chai, Xun Jiang, Yibo Lin, Runsheng Wang, Ru Huang
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.
Science China
sym

The Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models

  • preprint
  • Tsung-Yi Ho, Sadaf Khan, Jinwei Liu, Yi Liu, Zhengyuan Shi, Ziyi Wang, Qiang Xu*, Evangeline F.Y. Young, Bei Yu, Ziyang Zheng, Binwu Zhu, Keren Zhu, Yiqi Che, Yun Liang, Yibo Lin, Guojie Luo, Guangyu Sun, Runsheng Wang, Xinming Wei, Chenhao Xue, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Sunan Zou, Lei Chen, Yu Huang, Min Li, Dimitrios Tsaras, Mingxuan Yuan, Hui-Ling Zhen, Zhufei Chu, Wenji Fang, Xingquan Li and Zhiyao Xie
  • Science China Information Sciences, Sep, 2024.
ICLR 2024
sym

CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environmen

  • preprint | project | code
  • Xun Jiang, Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Runsheng Wang, and Ru Huang
  • International Conference on Learning Representations (ICLR), Vienna, Austria, May 7-11, 2024.
DAC 2024
sym

PowPrediCT: Cross-Stage Power Prediction with Circuit-Transformation-Aware Learning

  • paper| code
  • Yufan Du, Zizheng Guo, Xun Jiang, Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Runsheng Wang, Ru Huang
  • ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jun 23-27, 2024.
ICCAD 2023
sym

Accelerating Routability and Timing Optimization with Open-Source AI4EDA Dataset CircuitNet and Heterogeneous Platforms

  • preprint| Invited Paper
  • Xun Jiang, Zizheng Guo, Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Runsheng Wang, Ru Huang
  • IEEE/ACM International Conference on Computer-Aided Design (ICCAD), San Francisco, CA, Oct, 2023.
TCAD
sym

CircuitNet: An Open- Source Dataset for Machine Learning in VLSI CAD Applications With Improved Domain-Specific Evaluation Metric and Learning Strategies

  • preprint| project | code
  • Zhuomin Chai, Yuxiang Zhao, Wei Liu, Yibo Lin, Runsheng Wang, Ru Huang
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Dec, 2023.
Pattern Recognition Letters
sym

Rethinking 3D cost aggregation in stereo matching

  • preprint
  • Wanshui Gan, Wenhao Wu, Shifeng Chen, Yuxiang Zhao, and Pak Kin Wong
  • Pattern Recognition Letters (PRL), 2023
Science China
sym

CircuitNet: An Open- Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

  • preprint | project | code
  • Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Wei Liu, Runsheng Wang, Ru Huang
  • SCIENCE CHINA Information Sciences, Sep, 2022.
ISEDA 2023
sym

HybridNet: Dual-Branch Fusion of Geometrical and Topological Views for VLSI Congestion Prediction (Extended Abstract)

  • preprint
  • Yuxiang Zhao, Zhuomin Chai, Yibo Lin, Runsheng Wang, Ru Huang
  • IEEE/ACM International Symposium of EDA (ISEDA), Nanjing, China, May 8-11, 2023.
ACMMM 2021
sym

DSANet: Dynamic Segment Aggregation Network for Video-Level Repre- sentation Learning

  • preprint
  • Wenhao Wu*, Yuxiang Zhao*, Yanwu Xu, Xiao Tan, Dongliang He, Zhikang Zou, Jin Ye, Yingying Li, Mingde Yao, Zichao Dong, Yifeng Shi
  • ACM International Conference on Multimedia (ACMMM), Chengdu, China, Oct 20-24, 2021.
CVPRW 2021
sym

Good Practices and a Strong Baseline for Traffic Anomaly Detection

  • preprint
  • Yuxiang Zhao*, Wenhao Wu*, Yue He, Yingying Li, Xiao Tan, Shifeng Chen
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Virtual event, Jun 23-27, 2021.

🎖 Honors and Awards

  • 2022.11   Champion of EDAthon 2022 programming contest.
  • 2022.06   Outstanding Student Award of UCAS.

  • 2022.06   Outstanding Students of ShenZhen Institute of Advanced Technology.

  • 2021.06   Champion of CVPR NVIDIA AI City Challenge Track4, Traffic Anomaly Detection.

  • 2021.04   Outstanding Award of “Traffic & 3D Intelligent Perception Project “ in Baidu.

  • 2019.06   Outstanding Graduate Student (Shandong Province).

  • 2018.10   National Scholarship.
  • 2018.10   “My Favorite Project” of the 11th National College Students Innovation and Entrepreneurship Annual Conference (First Prize).
  • 2018.09   National Electronic Design Competition (Second Prize of Shandong Province).

  • 2018.09   Innovation Scholarship.

  • 2017.12   Science and Technology Innovation Competition (First Prize of Shandong Province).
  • 2017.11   The Start of Innovation and Entrepreneur.
  • 2017.11   “My Favorite Project” of the 10th National College Students Innovation and Entrepreneurship Annual Conference (First Prize).
  • 2017.11   “Best Creative Project” of the 10th National College Students Innovation and Entrepreneurship Annual Conference (First Prize).
  • 2017.10   National Electronic Design Competition (First Prize of Shandong Province).
  • 2017.10   Robot Competition (Second Prize of Shandong Province).
  • 2017.09   Physics Innovation Competition (First Prize of Shandong Province).
  • 2017.09   Innovation Scholarship.

  • 2017.05   Challenge Cup Innovation Contest (Second Prize of Shandong Province).

  • 2016.12   Science and Technology Innovation Competition (Third Prize of Shandong Province).
  • 2016.10   Innovation Scholarship.

📖 Educations

  • 2022.09 - now   Peking University, China, Ph.D candidate of Ingergreted Circuit.
  • 2019.09 - 2022.06   University of Chinese Academy of Sciences, China, Master of control engineering.
  • 2019.09 - 2022.06   Shenzhen Institute of Advanced Technology, Chinese Academy of Science, China, Research Assistant.
  • 2015.09 - 2019.06   China University of Petroleum, China, Bachelor of Optoelectronic Information Science and Engineering.

💻 Internships