Liangbing (Liam) Zhao
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 first-year PhD student at King Abdullah University of Science and Technology (KAUST), where I also earned my Master’s degree. I am privileged to be advised by Prof. Mohamed Elhoseiny.
Previously, I completed my undergraduate studies under the supervision of Prof. Si Liu. I also spent time as a research intern at Meitu Inc. 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 bridge generative and understanding tasks, with an emphasis on leveraging understanding capabilities to enhance generative performance.
🔥 I am actively looking for a research internship in Summer 2026. Please feel free to reach out if you are hiring! 🔥
news
| Jun 26, 2025 | Two papers are accepted by ICCV2025! |
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| Jan 22, 2025 | One paper is accepted by ICLR2025! |
| Dec 19, 2023 | One paper is accepted by Electronics! |
selected publications
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From reflection to perfection: Scaling inference-time optimization for text-to-image diffusion models via reflection tuningarXiv preprint arXiv:2504.16080, 2025 -
WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article GenerationarXiv preprint arXiv:2503.19065, 2025 -
ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger BridgeIn The Thirteenth International Conference on Learning Representations, 2025 -
Cross-Attention and Seamless Replacement of Latent Prompts for High-Definition Image-Driven Video EditingElectronics, 2023