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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.
- MCG-NJU/DDT - DDT: Decoupled Diffusion Transformer (1 week ago)
- mamba-org/mamba - The Fast Cross-Platform Package Manager (3 weeks ago)
- declare-lab/trust-align - Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse (3 weeks ago)
- NovaSearch-Team/RAG-Retrieval - Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker. (3 weeks ago)
- thu-pacman/chitu - High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability. (1 month ago)