I am a fourth-year Ph.D. student in Computer Science at City University of Hong Kong, advised by Prof. Jing Liao. I am fortunate to collaborate with Nanxuan Zhao and Difan Liu at Adobe Research.

My research lies in the areas of computer vision and computer graphics, with a particular focus on empowering vector graphics generation and customization using visual priors. Recently, I am interested in unified multimodal generation and editing across images, vectors, and videos.

🔥 Job Hunting: Full-time Research Positions (2026 Fall)
Let’s chat about multimodal generation & vector art!

Publications

ArXiv

DuetSVG: Unified Multimodal SVG Generation with Internal Visual Guidance

Peiying Zhang, Nanxuan Zhao, Matthew Fisher, Yiran Xu, Jing Liao, Difan Liu

ArXiv 2025

Paper | Project

ArXiv

Illustrator’s Depth: Monocular Layer Index Prediction for Image Decomposition

Nissim Maruani, Peiying Zhang, Siddhartha Chaudhuri, Matthew Fisher, Nanxuan Zhao, Vova Kim, Pierre Alliez, Mathieu Desbrun, Wang Yifan

ArXiv 2025

Paper

SIGGRAPH 2025

Style Customization of Text-to-Vector Generation with Image Diffusion Priors

Peiying Zhang, Nanxuan Zhao, Jing Liao

SIGGRAPH 2025

Paper | Project | Code

SIGGRAPH 2024

Text-to-Vector Generation with Neural Path Representation

Peiying Zhang, Nanxuan Zhao, Jing Liao

ACM Transactions on Graphics (Proc. SIGGRAPH 2024)

Paper | Project | Code

SIGGRAPH Asia 2023

Text-Guided Vector Graphics Customization

Peiying Zhang, Nanxuan Zhao, Jing Liao

SIGGRAPH Asia 2023

Paper | Project | Code

VIS 2020

Viscode: Embedding information in visualization images using encoder-decoder network

Peiying Zhang, Chenhui Li, Changbo Wang

IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2020)

Paper | Project | Demo

ICME 2020

SmartText: Learning to Generate Harmonious Textual Layout over Natural Image

Peiying Zhang, Chenhui Li, Changbo Wang

Oral Paper, IEEE International Conference on Multimedia & Expo 2020

Paper | Code

TMM 2021

Harmonious Textual Layout Generation Over Natural Images via Deep Aesthetics Learning

Chenhui Li, Peiying Zhang, Changbo Wang

IEEE Transactions on Multimedia 2021

Paper | Code

Honors and Awards

• 2024 Research Tuition Scholarship, City University of Hong Kong.

• 2020 National Scholarship, East China Normal University.

• 2017 Silver Medal & Best Female Team, 42nd ACM-ICPC Asia Regional (Xi’an).

• 2018 Silver Medal & Best Female Team, ACM-ICPC National Invitational (Xuzhou).

• 2019 Gold Medal, China Collegiate Programming Contest - Women’s Final.

Internships

• 2025.05 - 2025.09, Adobe Research, Research Scientist intern. California, USA.

• 2021.05 - 2021.09, ALIPAY (Ant Group), Data Intelligence intern. Shanghai, China.

• 2018.10 - 2019.02, Siemens Industry Software, C++ Engineer intern. Shanghai, China.