Bo Yang

I am a third-year Master student at ShanghaiTech University, advised by Prof.Ying Cao, expected to complete the degree this summer. I am actively seeking Ph.D (26 Fall) positions. I graduated from ShanghaiTech University with Bachelor's degree in 2022.

My research interests lie at the intersection of computer graphics, computer vision, and human-computer interaction, with a particular focus on generative models. Currently, my research focuses on graphic design generation.

Email  /  Resume  /  GitHub

profile photo
🔥 News

  • [2025/05] One paper were accepted by SIGGRAPH 2025 (Journal-track).
  • 📑 Publications

    * denotes equal contribution, denotes corresponding author, some are highlighted.

    ordermatters-repre

    ordermatters-pipeline

    Order Matters: Learning Element Ordering for Graphic Design Generation
    Bo Yang,Ying Cao
    ACM Transactions on Graphics (SIGGRAPH), 2025
    Project Page / Paper / BibTeX

    We propose a Generative Order Learner (GOL) that optimizes element ordering for graphic design generation. Our approach learns a content-aware neural order, which can significantly improve graphic generation quality, generalize across different types of generative models and help design generators scale up greatly.

    📖 Experience
    • University of California, Berkeley, CA: Summer School Program (2019 summer).
    🖇 Service & Teaching
    • CS280 - Deep Learning (25S/24F/24S/23F/23S), Teaching Assistant.
    🏵️ Honors
    • Overseas Exchange Scholarship, ShanghaiTech University, 2019.
    • Merit Student, ShanghaiTech University, 2022-2023.
    • Outstanding Teaching Assistant, ShanghaiTech University, 2023/2024.

    Design and source code modified based on Jon Barron's website

    Last update: May, 2025