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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.
- iflow-ai/iflow-cli - iFlow cli is a comprehensive command-line intelligence that embeds in your terminal, analyzes your repositories, does coding tasks, interprets your needs across contexts, and boosts efficiency by performing tasks from simple file operations to complex workflow automation. (3 days ago)
- anthropics/financial-services-plugins - (3 days ago)
- hkust-nlp/Toolathlon - [ICLR 2026] The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution (1 week ago)
- eval-sys/mcpmark - MCPMark is a comprehensive, stress-testing MCP benchmark designed to evaluate model and agent capabilities in real-world MCP use. (1 week ago)
- gta0804/MEME - Official implementation of MEME: Modeling the Evolutionary Modes of Financial Markets (2 weeks ago)