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🎓 From September 2022, Haiyang started his Ph.D. degree in computer software and theory in School of Computer Science of Peking University.
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🏅 Haiyang received his B.E degree from School of Computer Science in Northwestern Polytechnical University in June 2022.
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🌱 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.
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📚 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.
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🔍 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.
- 🖋 My introduction at here.
- scaleapi/SWE-Atlas - open source SWE-Atlas (1 day ago)
- THUDM/slime - slime is an LLM post-training framework for RL Scaling. (2 days ago)
- 199-biotechnologies/claude-deep-research-skill - Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credibility scoring, and automated validation. Outperforms OpenAI, Gemini, and Claude Desktop in quality and verification. (2 days ago)
- Weizhena/Deep-Research-skills - Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control (2 days ago)
- Wang-Xiaodong1899/Open-R1-Video - ✨First Open-Source R1-like Video-LLM [2025/02/18] (4 days ago)