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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

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

Open Source Project

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


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🌍 Connect with Me

  • Email: [email protected]
  • 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!


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