HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. - Qiange Wang; Xin Ai 006; Yanfeng Zhang; Jing Chen 037; Ge Yu 001 (ICDE, 2023)

Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. - Hao Yuan; Yajiong Liu; Yanfeng Zhang; Xin Ai 006; Qiange Wang; Chaoyi Chen; Yu Gu 002; Ge Yu 001 (Proc. VLDB Endow., 2024)

NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. - Xin Ai 006; Qiange Wang; Chunyu Cao; Yanfeng Zhang; Chaoyi Chen; Hao Yuan; Yu Gu 002; Ge Yu 001 (Proc. VLDB Endow., 2024)

NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism. - Xin Ai 006; Hao Yuan; Zeyu Ling; Qiange Wang; Yanfeng Zhang; Zhenbo Fu; Chaoyi Chen; Yu Gu 002; Ge Yu 001 (Proc. VLDB Endow., 2024)

NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective. - Peizheng Li; Chaoyi Chen; Hao Yuan; Zhenbo Fu; Hang Shen 008; Xinbo Yang; Qiange Wang; Xin Ai 006; Yanfeng Zhang; Yingyou Wen; Ge Yu 001 (SIGMOD Conference Companion, 2025)

NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training. - Yajiong Liu; Yanfeng Zhang; Qiange Wang; Hao Yuan; Xin Ai 006; Ge Yu 001 (Knowl. Based Syst., 2025)

NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism. - Zhenbo Fu; Xin Ai 006; Qiange Wang; Yanfeng Zhang; Shizhan Lu; Chaoyi Chen; Chunyu Cao; Hao Yuan; Zhewei Wei; Yu Gu 002; Yingyou Wen; Ge Yu 001 (Proc. VLDB Endow., 2025)

Towards Communication-Efficient Out-of-Core Graph Processing on the GPU. - Qiange Wang; Xin Ai 006; Yongze Yan; Shufeng Gong; Yanfeng Zhang; Jing Chen 037; Ge Yu 001 (IEEE Trans. Parallel Distributed Syst., 2025)