publications

2025

1. TACO 2025

   NeutronAscend: Optimizing GNN Training with Ascend AI Processors

   Xin Ai, bing zhang, Qiange Wang, Yanfeng Zhang, and 3 more authors

   ACM Transactions on Architecture and Code Optimization, 2025

   DOI Code

   
2. VLDB 25

   Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing

   Qiange Wang, Yongze Yan, Hongshi Tan, Cheng Chen, and 7 more authors

   Proceedings of the VLDB Endowment, 2025

   DOI Code

   
3. SIGMOD 26

   NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters

   Chunyu Cao, Xin Ai, Qiange Wang, Yanfeng Zhang, and 7 more authors

   Proceedings of the ACM on Management of Data, 2025

   DOI Code

   
4. SIGMOD DEMO 25

   NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective

   Peizheng Li, Chaoyi Chen, Hao Yuan, Zhenbo Fu, and 7 more authors

   In Companion of the 2025 International Conference on Management of Data, 2025

   DOI Video Code

   
5. TPDS 25

   Towards Communication-Efficient Out-of-Core Graph Processing on the GPU

   Qiange Wang, Xin Ai, Yongze Yan, Shufeng Gong, and 3 more authors

   IEEE Transactions on Parallel and Distributed Systems, 2025

   DOI Code Slides

   
6. VLDB 25

   NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism

   Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, and 8 more authors

   Proceedings of the VLDB Endowment, Feb 2025

   PDF Code Slides

   
7. VLDB 25

   NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism

   Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, and 5 more authors

   Proceedings of the VLDB Endowment, Feb 2025

   DOI PDF Code Slides

   
8. TPDS 25

   Towards Communication-Efficient Out-of-Core Graph Processing on the GPU

   Qiange Wang, Xin Ai, Yongze Yan, Shufeng Gong, and 3 more authors

   IEEE Transactions on Parallel and Distributed Systems, 2025

   PDF Code Slides

   
9. KBS

   NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training

   Yajiong Liu, Yanfeng Zhang, Qiange Wang, Hao Yuan, and 2 more authors

   Knowledge-Based Systems, Jan 2025

   PDF Code Slides

   
10. SIGMOD 25

    Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs

    Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, and 2 more authors

    Proc. ACM Manag. Data, 2025

    PDF Code Slides

    
11. SIGMOD 26

    DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention

    Hao Yuan, Xin Ai, Qiange Wang, Peizheng Li, and 7 more authors

    Proc. ACM Manag. Data, 2025

    PDF Code Slides

    
12. TKDE 25

    Scalable and Load-Balanced Full-Graph GNN Training on Multiple GPUs

    Qiange Wang, Yao Chen, Weng-Fai Wong, and Bingsheng He

    IEEE Trans. Knowl. Data Eng., 2025

    PDF Code Slides

    

2024

1. VLDB 24

   Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective

   Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, and 4 more authors

   Proceedings of the VLDB Endowment, Nov 2024

   PDF Code Slides

   
2. VLDB 24

   NeutronOrch: Rethinking Sample-Based GNN Training under CPU-GPU Heterogeneous Environments

   Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, and 4 more authors

   Proceedings of the VLDB Endowment, Nov 2024

   PDF Code Slides

   
3. TPDS 24

   Towards Efficient Graph Processing in Geo-Distributed Data Centers

   Feng Yao, Qian Tao, Shengyuan Lin, Yanfeng Zhang, and 5 more authors

   IEEE Transactions on Parallel and Distributed Systems, 2024

   PDF Code Slides

   
4. SIGMOD 24

   BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance

   Wei Zhang, Cheng Chen, Qiange Wang, Wei Wang, and 13 more authors

   In Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024, 2024

   PDF Code Slides

   

2023

1. ICDE 23

   HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management

   Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, and 1 more author

   In 2023 IEEE 39th International Conference on Data Engineering (ICDE), Apr 2023

   PDF Code Slides

   
2. VLDB 24

   Ragraph: A region-aware framework for geo-distributed graph processing

   Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, and 4 more authors

   Proceedings of the VLDB Endowment, Apr 2023

   PDF Code Slides

   
3. VLDB 24

   NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams

   Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, and 5 more authors

   Proceedings of the VLDB Endowment, Dec 2023

   PDF Code Slides

   
4. SIGMOD 24

   HongTu: Scalable Full-Graph GNN Training on Multiple GPUs

   Qiange Wang, Yao Chen, Weng-Fai Wong, and Bingsheng He

   Proc. ACM Manag. Data&nbspSIGMOD 2024 Most Influential Paper (14/15) , 2023

   PDF Code Slides

   

2022

1. SIGMOD 22

   Neutronstar: distributed GNN training with hybrid dependency management

   Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, and 2 more authors

   In Proceedings of the 2022 International Conference on Management of DataSIGMOD 2022 Most Influential Paper (11/15) , Jun 2022

   PDF Code Slides

   

2020

1. SIGMOD 20

   Automating incremental and asynchronous evaluation for recursive aggregate data processing

   Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, and 3 more authors

   In Proceedings of the 2020 ACM SIGMOD International Conference on Management of data, Jun 2020

   PDF Code Slides

   
2. APWEB-WAIM 20

   Partition-Oriented Subgraph Matching on GPU

   Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, and 1 more author

   In APWeb-WAIMBest Paper Runner-up , 2020

   Awarded PDF Code Slides

   

   Best Paper Runner-up