邓盈盈(Yingying Deng)

Exploring the art of visual style transfer and generative models.

I am an Associate Professor at the School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB). Before joining USTB, I was a Senior Engineer at Huawei’s 2021 Laboratory from 2022 to 2025.

I received my Ph.D. in 2022 from the Institute of Automation, Chinese Academy of Sciences (CASIA), under the supervision of Prof. Changsheng Xu and Prof. Weiming Dong. I received my bachelor’s degree from the University of Science and Technology Beijing (USTB) in 2017.

My research mainly focuses on the following directions: - Style Transfer: developing methods that achieve image style transfer - Diffusion Models & Flow Matching: exploring fast image editing techniques based on diffusion models - Visual Generative Models: leveraging Transformers and diffusion models for image and video generation

🔥News

  • 🎉Our paper Zstar+ is accepted by CVMJ.
  • 🎉Our paper Multi-turn Consistent Image Editing was accepted to ICCV 2025!
  • 🎉Z-magic is accepted to CVPR 2025 ! Congratulations to all collaborators!
  • 🎉FireFlow is accepted to ICML 2025! Congratulations to all collaborators!
  • 🎉Our paper *Z: Zero-shot style transfer via attention reweighting was accepted to CVPR 2024.

🎨Representative Works

📢Join Us

I am always looking for highly motivated students or interns who are interested in 2D AIGC.

  • 🎯 Research Directions: We focus on the intersection of computer vision and computer graphics, powered by modern agents.
  • 💻 Required Skills: A solid foundation in mathematics (linear algebra/optimization), proficiency in Python and PyTorch for deep learning research, and a strong capability for reading and writing top-tier academic papers in English.
  • ⭐ Desired Traits: We value candidates who are highly self-motivated and intellectually curious, possessing the grit and persistence required to navigate the long-term challenges of high-level academic research.
  • 📧 How to Apply: Please send your CV, transcripts, and representative research works to yingiyng.deng@ustb.edu.cn with an email subject formatted as “Your Name - University”.