🚀 Open to Opportunities
I am actively looking for internship opportunities in industry and collaborative research projects that align with my experience in computer vision and diffusion models.

I am Chang, a Ph.D. student of CS department at UIUC. I am now conducting research under the guidance of Prof. Svetlana Lazebnik. 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 instersts focus on Computer Vision, particularly diffuion models, where I am currently working on controllable image generation and manipulations with diffusion models. I am particularly interested in model personalization, and enabling fine-grained control in generative models.

📝 Publications

ICCV 2025
sym

UnZipLoRA: Separating Content and Style from a Single Image

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

ICCV 2025 Highlight

Project Paper
WACV 2025
sym

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
sym

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.