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
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🔥 News
[2025/05] One paper were accepted by SIGGRAPH 2025 (Journal-track).
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📑 Publications
* denotes equal contribution, † denotes corresponding author, some are highlighted.
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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.
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- University of California, Berkeley, CA: Summer School Program (2019 summer).
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- CS280 - Deep Learning (25S/24F/24S/23F/23S), Teaching Assistant.
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- Overseas Exchange Scholarship, ShanghaiTech University, 2019.
- Merit Student, ShanghaiTech University, 2022-2023.
- Outstanding Teaching Assistant, ShanghaiTech University, 2023/2024.
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Design and source code modified based on Jon Barron's website
Last update: May, 2025
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