Jinpei Guo


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About

Jinpei Guo

Hi, there! I am Jinpei Guo, a second-year master student in the MSML program at Carnegie Mellon University.

I work on low-level computer vision, where I leverage diffusion-based generative models to enhance visual realism and design efficient architectures to mitigate their high computational cost. I currently work closely with Dr. Jian Wang from Snap Inc. Prior to that, I received my bachelor’s degree from Shanghai Jiao Tong University, where I worked with Prof. Yulun Zhang and Prof. Junchi Yan.

I am always open to collaboration and discussions, please feel free to reach out!

CV  |  Github  |  Google Scholar  |  LinkedIn  |  Email


Selected Publications

Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution

Jinpei Guo, Yifei Ji, Zheng Chen, Yufei Wang, Sizhuo Ma, Yong Guo, Yulun Zhang, and Jian Wang

arXiv, 2025


Paper   -  Code

OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates

Jinpei Guo, Yifei Ji, Zheng Chen, Kai Liu, Min Liu, Wang Rao, Wenbo Li, Yong Guo, and Yulun Zhang

Neural Information Processing Systems (NeurIPS), 2025


Paper   -  Code

Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal

Jinpei Guo, Zheng Chen, Wenbo Li, Yong Guo, and Yulun Zhang

IEEE International Conference on Computer Vision (ICCV), 2025


Paper   -  Code

GMTR: Graph Matching Transformers

Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024


Paper   -  Code

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization

Yang Li*, Jinpei Guo*, Runzhong Wang, Hongyuan Zha, Junchi Yan

Neural Information Processing Systems (NeurIPS), 2024


Paper   -  Code

From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan

Neural Information Processing Systems (NeurIPS), 2023


Paper   -  Code

Education

Carnegie Mellon University, Pittsburgh, USA
08/2024 - present

Master of Science in Machine Learning

Shanghai Jiao Tong University, Shanghai, China
09/2020 - 06/2024

Honorary Bachelor of Zhiyuan College
Bachelor of Computer Science and Technology

GPA: 91.9/100, Ranking: 5/109

University of Toronto, Toronto, Canada
04/2023 - 09/2023

Summer Research Program
Internship

Ant Group, Shanghai, China
04/2024 - 07/2024

Algorithm Intern

Teaching
  • Teaching assistant of CS0501H - Data Structure (ACM Honors class), 2022, SJTU
    Prof. Yong Yu; Number of students: 48
Selected Awards
  • Snap Inc. Gift Funding, ¥108,000, 2025

  • Chiang Chen Overseas Graduate Fellowship, ¥360,000, 2024

  • SenseTime Scholarship, ¥20,000, 2023

  • Chinese National Scholarship, ¥8,000 × 2, 2022, 2023

  • Shanghai Scholarship, ¥8,000, 2021

  • Zhiyuan Honorary Scholarship, ¥5,000 × 3, 2021, 2022, 2023