Portrait of Libo Zhu

Libo Zhu

朱力博

PhD Student

Shanghai Jiao Tong University

About Me

I am a PhD student at Shanghai Jiao Tong University, advised by Prof. Yulun Zhang. My research focuses on efficient diffusion models, image restoration, and model quantization.

Research interests

  • Efficient diffusion models
  • Image restoration
  • Model quantization

Advisor

Yulun Zhang

Associate Professor, Ph.D. Advisor

Shanghai Jiao Tong University

Education

  • PhD · Computer Science and Technology

    Shanghai Jiao Tong University
    2025–present

  • B.Eng. · Information Engineering

    Shanghai Jiao Tong University
    2021–2025

News

  • Our papers RIFLE and BRACE were accepted to NeurIPS 2026!

  • Our paper Freqformer was accepted to ECCV 2026!

  • Our paper QuantVSR was accepted to AAAI 2026!

  • Our team won the National Grand Prize in the 19th “Challenge Cup”!

  • Awarded the Ye Jun & Shen Nanpeng Zhiyuan Outstanding Scholarship (Top 1%), SJTU.

  • Awarded the Outstanding Bachelor's Thesis honor (Top 1%), SJTU.

  • Named an Outstanding Graduate of Shanghai (Top 1%).

  • Our paper PassionSR was accepted to CVPR 2025!

  • Awarded the Shaoqiu Scholarship (Top 1%), SJTU.

  • Our team received an M Award in MCM/ICM.

  • Our team won the National First Prize in the National Undergraduate Electronics Design Contest!

Publications

* Equal contribution · † Corresponding author

Latest

TRACE high-resolution video generation examples and quality–efficiency comparisons

TRACE: Trajectory Synchronization for Training-Free Resolution Extension in Video Generation

Libo Zhu, Fan Li, Zhixin Wang, Binglu Wang, Weisheng Dong, Yulun Zhang†


Honors and Awards

  • National Grand Prize 19th “Challenge Cup” National Undergraduate Extracurricular Academic Science and Technology Competition

  • Top 1% Ye Jun & Shen Nanpeng Zhiyuan Outstanding Scholarship, SJTU

  • Top 1% Outstanding Bachelor's Thesis, SJTU

  • Top 1% Outstanding Graduate of Shanghai

  • Top 1% Shaoqiu Scholarship, SJTU

  • M Award Mathematical Contest in Modeling (MCM/ICM)

  • National First Prize National Undergraduate Electronics Design Contest

  • Top 5% Zhiyuan Honors Scholarship, SJTU

Internships

  • Huawei, AI Algorithm Intern

    2026.02 – Present

    Noah’s Ark Lab, 2012 Laboratories

Collaborative Projects

  • Exploratory Collaboration on Image/Video Demoiréing and Flicker-Banding Removal (Huawei)

    Project Member. Participated in task investigation, new dataset construction, image/video flicker-banding removal algorithm design, project coordination, and delivery.

    The technology has been deployed on Huawei Pura 90 series smartphones.

  • Mobile Customization of Efficient Diffusion-Based Image Reconstruction Algorithms (Transsion)

    Project Member. Responsible for quantization algorithm design.

  • University-Industry Research on High-Fidelity Image Restoration with Lightweight Diffusion Models (Huawei)

    Project Lead. Primarily responsible for designing the core low-bit quantization algorithms.