Hi 👋, I'm Junhan Zhu

"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: Accurate Pruning for Diffusion Models in One-Shot Junhan Zhu, Hesong Wang, Mingluo Su, Zefang Wang, Huan Wang* 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: 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.

🌍 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!