Chang Liu

Chang Liu

University of Illinois Urbana-Champaign

I am Chang, a Ph.D. student in the CS department at UIUC. I am now conducting research under the guidance of Prof. Svetlana Lazebnik and Prof. Alexander Schwing. Before that, I earned my M.S. degree in Electrical and Computer Engineering from UIUC and my B.S. degree from Sun Yat-sen University, where I worked with Prof. Dong Zhang.

My research interests lie in computer vision and generative models. My earlier work centers on controllable image generation and manipulation with diffusion models, with a focus on model personalization and fine-grained, disentangled control. More recently, I have been working on multimodal generation, and I am also broadly interested in unified models. My research is generously supported by the Amazon AI PhD Fellowship.

📝 Publications

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ReaDiT Guidance: Control for Image and Video Generation using Diffusion Transformer Features

J. Mahajan*, C. Liu*, R. Makharov, V. Shah, A. Schwing, S. Lazebnik

Preprint, 2026

Project | [Paper]

ICCV 2025
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UnZipLoRA: Separating Content and Style from a Single Image

C. Liu, V. Shah, A. Cui, S. Lazebnik

ICCV 2025 Highlight

Project Paper
WACV 2025
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Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired Images

A. Cui, J. Mahajan, V. Shah, P. Gomathinayagam, C. Liu, S. Lazebnik

WACV 2025

CVFAD Workshop, CVPR, 2024

Project Paper
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A selective quantization approach for optimizing quantized inference engine

C. Liu, Dong Zhang

ISCTech, 2023

Paper

📖 Educations

  • 2025.08 - Present, Ph.D. of Computer Science at University of Illinois Urbana Champaign.
  • 2023.08 - 2024.12, Master of Engineering in Electrical and Computer Engineering at University of Illinois Urbana Champaign.
  • 2019.06 - 2023.06, Bachelor of Engineering in Electronic information science and technology at Sun Yat-sen University.

💻 Internships

  • 2026.05 - 2026.08, Applied Scientist Intern, Amazon Prime Video — agentic image generation.