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Qiange Wang
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2020 – today
- 2025
- [j9]Yajiong Liu
, Yanfeng Zhang, Qiange Wang
NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training. Knowl. Based Syst. 309: 112786 (2025) - 2024
- [j8]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) - [j7]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) - [j6]Feng Yao
Towards Efficient Graph Processing in Geo-Distributed Data Centers. IEEE Trans. Parallel Distributed Syst. 35(11): 2147-2160 (2024) - [c6]Wei Zhang, Cheng Chen
BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance. SIGMOD Conference Companion 2024: 360-372 - 2023
- [j5]Qiange Wang
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs. Proc. ACM Manag. Data 1(4): 246:1-246:27 (2023) - [j4]Feng Yao
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
Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU. World Wide Web 25(3): 1377-1402 (2022) - [c4]Qiange Wang
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
Distributed Graph Processing: Techniques and Systems. APWeb/WAIM Workshops 2020: 14-23 - [c2]Jing Chen, Yu Gu, Qiange Wang
Partition-Oriented Subgraph Matching on GPU. APWeb/WAIM (1) 2020: 53-68 - [c1]Qiange Wang
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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