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  • Aalto University

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geduo15/README.md

Hey 👋 I'm Jinbin Zhang

🎓 PhD Student @ Aalto University
💡 Researching Large Output Space and Efficient LLM
🧑‍💻 Former R&D Engineer (Search Engine and Pre-trained Language Models) at two tech companies


🚀 About Me

✨ Passionate about efficient deep learning systems
🧑‍🏫 Working with Prof. Rohit Babbar and Prof. Pekka Marttinen
⚙️ Currently learning and developing with CUDA
🎯 Goal: Completing my PhD and starting a side project on ML systems in the near future


🔬 Research

🧠 Current Focus: Accelerating LLM inference by optimizing large output spaces with CUDA stream parallelism, and exploring 8-bit / 4-bit low-precision training for efficient model scaling.

📄 Recent Publication: "ELMO: Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces" — ICML 2025.


🌱 Interests

- Large Output Space and Extreme Classification
- Efficient LLM Inference and Training
- Low-Precision Training (8-bit / 4-bit)
- GPU Programming (CUDA, Trion)


📫 Connect with Me

💼 LinkedIn

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  1. xmc-aalto/elmo xmc-aalto/elmo Public

    Official Code for the paper ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces (in ICML 2025)

    Python 4 1

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