区块链系统的数据存储与查询技术综述 (Survey of Data Storage and Query Techniques in Blockchain Systems). - Qiange Wang; Pu He; Tiezheng Nie; Derong Shen; Ge Yu 001 (计算机科学, 2018)

Partition-Oriented Subgraph Matching on GPU. - Jing Chen 037; Yu Gu 002; Qiange Wang; Chuanwen Li; Ge Yu 001 (APWeb/WAIM (1), 2020)

Distributed Graph Processing: Techniques and Systems. - Yanfeng Zhang; Qiange Wang; Shufeng Gong (APWeb/WAIM Workshops, 2020)

Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing. - Qiange Wang; Yanfeng Zhang; Hao Wang 002; Liang Geng; Rubao Lee; Xiaodong Zhang 001; Ge Yu 001 (SIGMOD Conference, 2020)

NeutronStar: Distributed GNN Training with Hybrid Dependency Management. - Qiange Wang; Yanfeng Zhang; Hao Wang 002; Chaoyi Chen; Xiaodong Zhang 001; Ge Yu 001 (SIGMOD Conference, 2022)

Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU. - Jing Chen 037; Qiange Wang; Yu Gu 002; Chuanwen Li; Ge Yu 001 (World Wide Web, 2022)

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

HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading). - Qiange Wang; Yao Chen 008; Weng-Fai Wong; Bingsheng He (CoRR, 2023)

NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. - Chaoyi Chen; Dechao Gao; Yanfeng Zhang; Qiange Wang; Zhenbo Fu; Xuecang Zhang; Junhua Zhu; Yu Gu 002; Ge Yu 001 (Proc. VLDB Endow., 2023)

RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing. - Feng Yao; Qian Tao; Wenyuan Yu; Yanfeng Zhang; Shufeng Gong; Qiange Wang; Ge Yu 001; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. - Qiange Wang; Yao Chen 008; Weng-Fai Wong; Bingsheng He (Proc. ACM Manag. Data, 2023)

BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance. - Wei Zhang; Cheng Chen 008; Qiange Wang; Wei Wang; Shijiao Yang; Bingyu Zhou; Huiming Zhu; Chao Chen; Yongjun Zhao; Yingqian Hu; Miaomiao Cheng; Meng Li; et al. (SIGMOD Conference Companion, 2024)

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)

Towards Efficient Graph Processing in Geo-Distributed Data Centers. - Feng Yao; Qian Tao; Shengyuan Lin; Yanfeng Zhang; Wenyuan Yu; Shufeng Gong; Qiange Wang; Ge Yu 001; Jingren Zhou 001 (IEEE Trans. Parallel Distributed Syst., 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)

Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs (Technical Report). - Jiaxin Jiang; Siyuan Yao; Yuchen Li 001; Qiange Wang; Bingsheng He; Min Chen 018 (CoRR, 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)

Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs. - Jiaxin Jiang; Siyuan Yao; Yuchen Li 001; Qiange Wang; Bingsheng He; Min Chen 018 (Proc. ACM Manag. Data, 2025)

Scalable and Load-Balanced Full-Graph GNN Training on Multiple GPUs. - Qiange Wang; Yao Chen 008; Weng-Fai Wong; Bingsheng He (IEEE Trans. Knowl. Data Eng., 2025)