Hi there👋

Short Bio

• 🎓 From September 2022, Haiyang started his Ph.D. degree in computer software and theory in School of Computer Science of Peking University.

• 🏅 Haiyang received his B.E degree from School of Computer Science in Northwestern Polytechnical University in June 2022.

• 🌱 My research interests lie in agents based on large models (LLMs/MLMs). Specifically, I am interested in:

  • 🔗 The integration of LMs with APIs (tools).
  • 🛠 The software engineering challenges associated with the integration.
  • 📱 The applications of LMs on edge devices.

• 📚 My research group primarily focuses on system software, including machine learning systems, serverless computing, web systems, software engineering, and etc. In my first year of Ph.D., I studied anomaly detection, federated learning, inference optimization for LLMs in the cloud, etc.

• 🔍 Throughout my studies from system software to deep learning, I have gained knowledge in various areas including methods and applications of natural language processing, retrieval systems, data analysis and mining, acceleration, and application of machine learning systems.

📫 Correspondence

• 📧 [email protected]
• 🐙 https://github.com/eachsheep
• 🌐 https://eachsheep.space

🌟 Others

• 🖋 My introduction at here.

📓 Gists I wrote

⭐ Recent Stars

• openai/codex - Lightweight coding agent that runs in your terminal (1 day ago)
• Zehong-Ma/ComfyUI-MagCache - The official code that integrates MagCache (Fast Video Generation with Magnitude-Aware Cache) with ComfyUI. (1 day ago)
• HanXinzi-AI/awesome-python-machine-learning-resources - a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合 (2 days ago)
• laude-institute/harbor - Harbor is a framework for running agent evaluations and creating and using RL environments. (1 week ago)
• laude-institute/terminal-bench - A benchmark for LLMs on complicated tasks in the terminal (1 week ago)