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 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
[2025/08] We release the code and checkpoints for GOL.
[2025/07] I successfully defended my master's thesis and was recognized as Excellent Graduate.
[2025/06] I will join C4 Group at HKUST as a Research Assistant this fall.
[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 / Code
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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ShanghaiTech University
M.S. in Computer Science
School of Information Science and Technology
Supervised by Prof. Ying Cao
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Sep. 2022 - Jul. 2025
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University of California, Berkeley
Summer School Program
Exchange Student
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Jul. 2019 - Aug. 2019
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ShanghaiTech University
B.S. in Computer Science
School of Information Science and Technology
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Sep. 2018 - Jun. 2022
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The Hong Kong University of Science and Technology
Research Assistant
HKUST C4 Group
Supervised by Prof. Wenhan Luo
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Aug. 2025 - Present
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🖇 Service & Teaching
- CS280 - Deep Learning (25S/24F/24S/23F/23S) in ShanghaiTech, Teaching Assistant.
🏵️ Honors
- Overseas Exchange Scholarship, ShanghaiTech University, 2019.
- Merit Student, ShanghaiTech University, 2022-2023.
- Outstanding Teaching Assistant, ShanghaiTech University, 2023/2024.
- Excellent Graduate, ShanghaiTech University, 2025.
Design and source code modified based on Jon Barron's website
Last update: August, 2025
# Views: (Since July, 2025)
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