Qiange Wang

According to our database, Qiange Wang authored at least 23 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

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

IEEE Trans. Knowl. Data Eng., July, 2025

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

Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He, Min Chen

Proc. ACM Manag. Data, June, 2025

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

Qiange Wang, Xin Ai, Yongze Yan, Shufeng Gong, Yanfeng Zhang, Jing Chen, Ge Yu

IEEE Trans. Parallel Distributed Syst., May, 2025

Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs (Technical Report).

Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He, Min Chen

CoRR, April, 2025

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

Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, Shizhan Lu, Chaoyi Chen, Chunyu Cao, Hao Yuan, Zhewei Wei, Yu Gu, Yingyou Wen, Ge Yu

Proc. VLDB Endow., February, 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, Ge Yu

Knowl. Based Syst., 2025

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

Peizheng Li, Chaoyi Chen, Hao Yuan, Zhenbo Fu, Hang Shen, Xinbo Yang, Qiange Wang, Xin Ai, Yanfeng Zhang, Yingyou Wen, Ge Yu

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

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, Jingren Zhou

IEEE Trans. Parallel Distributed Syst., November, 2024

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

Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu

Proc. VLDB Endow., October, 2024

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

Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu

Proc. VLDB Endow., April, 2024

Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective.

Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu

Proc. VLDB Endow., February, 2024

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

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

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

HongTu: Scalable Full-Graph GNN Training on Multiple GPUs.

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

Proc. ACM Manag. Data, December, 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, Jingren Zhou

Proc. VLDB Endow., November, 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, Ge Yu

Proc. VLDB Endow., November, 2023

HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading).

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

CoRR, 2023

HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management.

Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU.

Jing Chen, Qiange Wang, Yu Gu, Chuanwen Li, Ge Yu

World Wide Web, 2022

NeutronStar: Distributed GNN Training with Hybrid Dependency Management.

Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2020

Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing.

Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang, Ge Yu

Proceedings of the 2020 International Conference on Management of Data, 2020

Distributed Graph Processing: Techniques and Systems.

Yanfeng Zhang, Qiange Wang, Shufeng Gong

Proceedings of the Web and Big Data. APWeb-WAIM 2020 International Workshops, 2020

Partition-Oriented Subgraph Matching on GPU.

Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, Ge Yu

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2018

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

计算机科学, 2018