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Alrightlone/README.md

Hi 👋, I'm Junhan Zhu

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"Efficiency isn’t about doing less — it’s about understanding more."

🧬 About Me

  • 🎓 I'm a junior undergraduate at Westlake University, majoring in Electronic Information Engineering.
  • 🔬 I work at the intersection of Efficient AI, Computer Vision and Model Compression.
  • 🎯 I am actively seeking 27fall PhD opportunities in Computer Vision and AI!
  • 🌐 Visit my Personal Website for academic info, or check out Lonely Zone for my latest updates.

📝 Research Highlights

OBS-Diff

✂️ OBS-Diff: Accurate Pruning for Diffusion Models in One-Shot

Junhan Zhu, Hesong Wang, Mingluo Su, Zefang Wang, Huan Wang*
Conference

The first training-free, one-shot pruning framework for Diffusion Models, supporting diverse architectures and pruning granularities. Uses Optimal Brain Surgeon (OBS) to achieve SOTA compression with high generative quality.

[Project Page][Paper][Code]

SparAlloc

🛠️ SparAlloc: A Simple and Modular Framework for Decoupled Sparsity Allocation in Layerwise Pruning for LLM

Open Source Project

A modular benchmark toolkit for decoupled sparsity allocation in LLM pruning. Enables fair comparison and flexible combination of pruning algorithms.

Github stats

🌍 Connect with Me

  • Email: zhujunhan@westlake.edu.cn
  • LinkedIn: Junhan Zhu -- Welcome to connect with me!
  • X: @Alright_lone -- Welcome to follow me!
  • My AI Notes & Research Logs: Check out Lonely Zone for my latest updates! I will show my thoughts and research on Efficient AI, such as Model Compression, Efficient Training, etc.
  • Always open to research collaborations and exciting side-projects! Welcome to contact me!

✨ Just for Fun

Hey Chen Yizhen, reply when you get a chance!

Pinned Loading

  1. OBS-DiffOBS-DiffPublic

    [ICLR 2026] Offical implementation of "OBS-Diff".

    Python 67 5

  2. SparAllocSparAllocPublic

    SparAlloc: A Simple and Modular Framework for Decoupled Sparsity Allocation in Layerwise Pruning for LLM

    Jupyter Notebook 16 1

  3. fscdc/Awesome-Efficient-Reasoning-Modelsfscdc/Awesome-Efficient-Reasoning-ModelsPublic

    [TMLR 2025] Efficient Reasoning Models: A Survey

    Python 318 23

  4. knightnemo/Awesome-World-Modelsknightnemo/Awesome-World-ModelsPublic

    A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.

    3.3k 151

  5. Paper2DemoPaper2DemoPublic

    Paper2Demo: Turn any academic PDF into a stunning demo video

    TypeScript 12

  6. awesome-diffusion-pruningawesome-diffusion-pruningPublic

    A curated list of awesome resources for diffusion model pruning.

    4