Qiange Wang

35 papers A* 1B 1Journal 27Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Incremental GNN Embedding Computation on Streaming Graphs.
CoRR
Qiange Wang, Haoran Lv, Yanfeng Zhang, Weng-Fai Wong, Bingsheng He
2026 J jnl
Towards Autonomous Graph Data Analytics with Analytics-Augmented Generation.
CoRR
Qiange Wang, Chaoyi Chen, Jingqi Gao, Zihan Wang, Yanfeng Zhang, Ge Yu
2025 J jnl
DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention.
Proc. ACM Manag. Data
Hao Yuan, Xin Ai, Qiange Wang, Peizheng Li, Jiayang Yu, Chaoyi Chen, Xinbo Yang, Yanfeng Zhang, Zhenbo Fu, Yingyou Wen, Ge Yu
2025 B conf
Dual RAG: An Effective Graph-Based RAG Framework with Adaptively Integrating Knowledge Graphs and Chunks.
IEEE Big Data
Jiaming Tian, Zhenbo Fu, Hao Yuan, Qiange Wang, Chaoyi Chen, Minghe Yu, Yanfeng Zhang, Ge Yu
2025 J jnl
Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs (Technical Report).
CoRR
Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He, Min Chen
2025 J jnl
Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs.
Proc. ACM Manag. Data
Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He, Min Chen
2025 J jnl
Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing.
Proc. VLDB Endow.
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
2025 J jnl
NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments.
Proc. VLDB Endow.
Mingyi Cao, Chunyu Cao, Yanfeng Zhang, Zhenbo Fu, Xin Ai, Qiange Wang, Yu Gu, Ge Yu
2025 J jnl
NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters.
Proc. ACM Manag. Data
Chunyu Cao, Xin Ai, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Hao Yuan, Mingyi Cao, Chaoyi Chen, Yingyou Wen, Yu Gu, Ge Yu
2025 — conf
NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective.
SIGMOD Conference Companion
Peizheng Li, Chaoyi Chen, Hao Yuan, Zhenbo Fu, Hang Shen, Xinbo Yang, Qiange Wang, Xin Ai, Yanfeng Zhang, Yingyou Wen, Ge Yu
2025 J jnl
NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training.
Knowl. Based Syst.
Yajiong Liu, Yanfeng Zhang, Qiange Wang, Hao Yuan, Xin Ai, Ge Yu
2025 J jnl
NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism.
Proc. VLDB Endow.
Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, Shizhan Lu, Chaoyi Chen, Chunyu Cao, Hao Yuan, Zhewei Wei, Yu Gu, Yingyou Wen, Ge Yu
2025 J jnl
Scalable and Load-Balanced Full-Graph GNN Training on Multiple GPUs.
IEEE Trans. Knowl. Data Eng.
Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
2025 J jnl
Towards Communication-Efficient Out-of-Core Graph Processing on the GPU.
IEEE Trans. Parallel Distributed Syst.
Qiange Wang, Xin Ai, Yongze Yan, Shufeng Gong, Yanfeng Zhang, Jing Chen, Ge Yu
2024 — conf
BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance.
SIGMOD Conference Companion
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
2024 J jnl
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective.
Proc. VLDB Endow.
Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu
2024 J jnl
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments.
Proc. VLDB Endow.
Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu
2024 J jnl
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism.
CoRR
Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu
2024 J jnl
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism.
Proc. VLDB Endow.
Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu
2024 J jnl
Towards Efficient Graph Processing in Geo-Distributed Data Centers.
IEEE Trans. Parallel Distributed Syst.
Feng Yao, Qian Tao, Shengyuan Lin, Yanfeng Zhang, Wenyuan Yu, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou
2023 J jnl
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective.
CoRR
Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu
2023 J jnl
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading).
CoRR
Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
2023 J jnl
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs.
Proc. ACM Manag. Data
Qiange Wang, Yao Chen, Weng-Fai Wong, Bingsheng He
2023 A* conf
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management.
ICDE
Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu
2023 J jnl
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments.
CoRR
Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu
2023 J jnl
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams.
CoRR
Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
2023 J jnl
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams.
Proc. VLDB Endow.
Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
2023 J jnl
RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing.
Proc. VLDB Endow.
Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou
2022 J jnl
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management.
CoRR
Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu
2022 — conf
NeutronStar: Distributed GNN Training with Hybrid Dependency Management.
SIGMOD Conference
Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu
2022 J jnl
Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU.
World Wide Web
Jing Chen, Qiange Wang, Yu Gu, Chuanwen Li, Ge Yu
2020 — conf
Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing.
SIGMOD Conference
Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang, Ge Yu
2020 — conf
Distributed Graph Processing: Techniques and Systems.
APWeb/WAIM Workshops
Yanfeng Zhang, Qiange Wang, Shufeng Gong
2020 — conf
Partition-Oriented Subgraph Matching on GPU.
APWeb/WAIM (1)
Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, Ge Yu
2018 J jnl
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
Qiange Wang, Pu He, Tiezheng Nie, Derong Shen, Ge Yu