Liangbing (Liam) Zhao

prof_pic.jpg

MS/PhD Student

King Abdullah University of Science and Technology

zhaolbben@gmail.com

Hi, I am Liangbing Zhao. You can also call me Liam. I am currently a MS/PhD student at King Abdullah University of Science and Technology (KAUST), under the guidance of my advisor, Prof. Mohamed Elhoseiny. During my undergraduate years, I was supervised by Prof. Si Liu. I was also a research intern at Meitu Inc., where I worked on video diffusion models with Dr. Xuecheng Nie.

Research Interests

  • Generative Models: Advancing and applying generative models, such as diffusion models, flow matching, and autoregressive models, with a focus on improving their architectures and exploring innovative applications.
  • Unified Models: Developing models that integrate generative and understanding tasks, with an emphasis on leveraging understanding capabilities to enhance generative performance.

news

Jun 26, 2025 Two papers are accepted by ICCV2025!
Jan 22, 2025 One paper is accepted by ICLR2025!
Dec 19, 2023 One paper is accepted by Electronics!

selected publications

  1. iccv2501.jpg
    From reflection to perfection: Scaling inference-time optimization for text-to-image diffusion models via reflection tuning
    Le Zhuo, Liangbing Zhao, Sayak Paul, and 6 more authors
    arXiv preprint arXiv:2504.16080, 2025
  2. iccv2502.jpg
    WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article Generation
    Zhongyu Yang, Jun Chen, Dannong Xu, and 5 more authors
    arXiv preprint arXiv:2503.19065, 2025
  3. cvpr24.jpg
    ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge
    Eslam Mohamed BAKR, Liangbing Zhao, Vincent Tao Hu, and 3 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
  4. electronics.jpg
    Cross-Attention and Seamless Replacement of Latent Prompts for High-Definition Image-Driven Video Editing
    Liangbing Zhao, Zicheng Zhang, Xuecheng Nie, and 2 more authors
    Electronics, 2023