I am Hao Yuan, a third-year Ph.D. student in Computer Science at Northeastern University (China), specializing in building efficient systems to support the training of graph neural networks (GNNs). My research focuses on system-level optimizations for AI workloads, particularly in the context of GNNs. I am part of the iDC-NEU Group under the supervision of Prof. Yanfeng Zhang.
Key Research Areas:
- Efficient GNN Training Systems
- System-Level Optimizations for AI Workloads
- Graph Neural Networks
- Distributed GNN Training
- KV Cache Management for GraphRAG
Selected Publications Highlights:
- DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention (SIGMOD 2026)
- NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective [Demo] (SIGMOD 2025)
- NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism (VLDB 2025)
- Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective (VLDB 2024)
Contact:
- Email: yuanhao(at)stumail.neu.edu.cn
- Google Scholar: https://scholar.google.com/citations?user=5bEDBdoAAAAJ
- GitHub: https://github.com/Sanzo00
- ORCID: https://orcid.org/0009-0002-6502-7696
