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2020 – today
- 2025
[j18]Yajiong Liu
, Yanfeng Zhang, Qiange Wang, Hao Yuan, Xin Ai, Ge Yu:
NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training. Knowl. Based Syst. 309: 112786 (2025)- [j17]Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He, Min Chen:
Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs. Proc. ACM Manag. Data 3(3): 150:1-150:26 (2025) - [j16]Chunyu Cao, Xin Ai, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Hao Yuan, Mingyi Cao, Chaoyi Chen, Yingyou Wen, Yu Gu, Ge Yu:
NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters. Proc. ACM Manag. Data 3(4): 257:1-257:29 (2025) - [j15]Hao Yuan, Xin Ai, Qiange Wang, Peizheng Li, Jiayang Yu, Chaoyi Chen, Xinbo Yang, Yanfeng Zhang, Zhenbo Fu, Yingyou Wen, Ge Yu:
DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention. Proc. ACM Manag. Data 3(6): 1-29 (2025) - [j14]Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, Shizhan Lu, Chaoyi Chen, Chunyu Cao, Hao Yuan, Zhewei Wei, Yu Gu, Yingyou Wen, Ge Yu:
NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism. Proc. VLDB Endow. 18(6): 1705-1719 (2025) - [j13]Qiange Wang, Yongze Yan, Hongshi Tan, Cheng Chen, Cheng Zhao, Jiaming Tian, Jiaxin Jiang, Xiaoliang Cong, Yanfeng Zhang, Ge Yu, Weng-Fai Wong, Bingsheng He:
Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing. Proc. VLDB Endow. 18(11): 3854-3867 (2025) - [j12]Mingyi Cao, Chunyu Cao, Yanfeng Zhang, Zhenbo Fu, Xin Ai, Qiange Wang, Yu Gu, Ge Yu:
NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments. Proc. VLDB Endow. 19(1): 56-69 (2025) - [j11]Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He:
Scalable and Load-Balanced Full-Graph GNN Training on Multiple GPUs. IEEE Trans. Knowl. Data Eng. 37(7): 4239-4253 (2025) - [j10]Qiange Wang, Xin Ai, Yongze Yan, Shufeng Gong, Yanfeng Zhang, Jing Chen, Ge Yu:
Towards Communication-Efficient Out-of-Core Graph Processing on the GPU. IEEE Trans. Parallel Distributed Syst. 36(5): 961-976 (2025) - [c8]Jiaming Tian, Zhenbo Fu, Hao Yuan, Qiange Wang, Chaoyi Chen, Minghe Yu, Yanfeng Zhang, Ge Yu:
Dual RAG: An Effective Graph-Based RAG Framework with Adaptively Integrating Knowledge Graphs and Chunks. IEEE Big Data 2025: 7435-7443 - [c7]Peizheng Li, Chaoyi Chen, Hao Yuan, Zhenbo Fu, Hang Shen, Xinbo Yang, Qiange Wang, Xin Ai, Yanfeng Zhang, Yingyou Wen, Ge Yu:
NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective. SIGMOD Conference Companion 2025: 163-166 - [i7]Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He, Min Chen:
Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs (Technical Report). CoRR abs/2504.09311 (2025) - 2024
- [j9]Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu:
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. Proc. VLDB Endow. 17(6): 1241-1254 (2024) - [j8]Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu:
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. Proc. VLDB Endow. 17(8): 1995-2008 (2024) - [j7]Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu:
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism. Proc. VLDB Endow. 18(2): 173-186 (2024) - [j6]Feng Yao, Qian Tao, Shengyuan Lin, Yanfeng Zhang, Wenyuan Yu, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou:
Towards Efficient Graph Processing in Geo-Distributed Data Centers. IEEE Trans. Parallel Distributed Syst. 35(11): 2147-2160 (2024) - [c6]Wei Zhang, Cheng Chen, Qiange Wang, Wei Wang, Shijiao Yang, Bingyu Zhou, Huiming Zhu, Chao Chen, Yongjun Zhao, Yingqian Hu, Miaomiao Cheng, Meng Li, Hongfei Tan, Mengjin Liu, Hexiang Lin, Shuai Zhang, Lei Zhang:
BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance. SIGMOD Conference Companion 2024: 360-372 - [i6]Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu:
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism. CoRR abs/2412.20379 (2024) - 2023
- [j5]Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He:
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. Proc. ACM Manag. Data 1(4): 246:1-246:27 (2023) - [j4]Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou:
RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing. Proc. VLDB Endow. 17(3): 264-277 (2023) - [j3]Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu:
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. Proc. VLDB Endow. 17(3): 455-468 (2023) - [c5]Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu:
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. ICDE 2023: 558-571 - [i5]Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu:
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. CoRR abs/2311.13225 (2023) - [i4]Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu:
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. CoRR abs/2311.13279 (2023) - [i3]Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He:
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading). CoRR abs/2311.14898 (2023) - [i2]Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu:
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. CoRR abs/2312.02473 (2023) - 2022
- [j2]Jing Chen, Qiange Wang, Yu Gu, Chuanwen Li, Ge Yu:
Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU. World Wide Web 25(3): 1377-1402 (2022) - [c4]Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu:
NeutronStar: Distributed GNN Training with Hybrid Dependency Management. SIGMOD Conference 2022: 1301-1315 - [i1]Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu:
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. CoRR abs/2208.14935 (2022) - 2020
- [c3]Yanfeng Zhang, Qiange Wang, Shufeng Gong:
Distributed Graph Processing: Techniques and Systems. APWeb/WAIM Workshops 2020: 14-23 - [c2]Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, Ge Yu:
Partition-Oriented Subgraph Matching on GPU. APWeb/WAIM (1) 2020: 53-68 - [c1]Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang, Ge Yu:
Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing. SIGMOD Conference 2020: 2439-2454
2010 – 2019
- 2018
- [j1]Qiange Wang, Pu He, Tiezheng Nie, Derong Shen, Ge Yu:
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). 计算机科学 45(12): 12-18 (2018)
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