Welcome to Wang Qiange’s(王千阁) Home Page

About

Currently I am a postdoc research fellow working with Bingsheng He at NUS Xtra computing group. I received my Ph.D. degree in computer science from Northeastern University (China), supervised by Prof. Ge Yu and Prof. Yanfeng Zhang. I worked closely with Prof. Xiaodong Zhang and Dr. Hao Wang from 2018 to 2022.

I’m interested in building distributed and parallel graph processing systems. I am also interested in GPU-accelerated data management.

Email: wang.qg AT nus DOT edu DOT sg

Google Scholar: Qiange Wang

DBLP: Qiange Wang

Education

Sept 2017- June 2022
Ph.D. student in Computer Software and Theory
Northeastern University, China

Sept 2013 - June 2017
Undergraduate student in Computer Science
Northeastern University, China

Publications

[SIGMOD‘2025] Jiaxin Jiang, Siyuan Yao, Yuchen Li, Qiange Wang, Bingsheng He and Min Chen. Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs. ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2025)

[VLDB‘2025] Qiange Wang, Yongze Yan, Hongshi Tan, Cheng Chen, Cheng Zhao, Jiaming Tian, Jiaxin Jiang, Xiaoliang Cong, Yanfeng Zhang, Ge Yu, Weng-Fai Wong, and Bingsheng He. Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing.

[VLDB‘2025] 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 Proceedings of the VLDB Endowment (PVLDB 2025), London, United Kingdom, 2025.

[VLDB‘2025] 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 Proceedings of the VLDB Endowment (PVLDB 2025), London, United Kingdom, 2025.

[TKDE‘2025] 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)

[TPDS‘2025] 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 Transactions on Parallel and Distributed Systems (TPDS), 2025, 36(5): 961-976.

[TPDS‘24] Feng Yao, Qian Tao, Shengyuan Lin, Yanfeng Zhang, Wenyuan Yu, Shufeng Gong, Qiange Wang, Ge Yu, and Jingren Zhou. Towards Efficient Graph Processing in Geo-Distributed Data Centers IEEE Transactions on Parallel and Distributed Systems 35(11): 2147-2160 (2024)

[SIGMOD‘24] Qiange Wang, Yao Chen, Weng-Fai Wong, and Bingsheng He. HongTu: Scalable Full-Graph GNN Training on Multiple GPUs [pdf]

[SIGMOD‘24] 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 [pdf].

[VLDB’24] Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Ge Yu. NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments

[VLDB’24] 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

[VLDB’24] 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.

[VLDB’24] Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, and Jingren Zhou. RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing

[ICDE‘23] Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu. HyTGraph: GPU-accelerated Graph Processing with Hybrid Transfer Management.[pdf][code]

[SIGMOD’22] Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu. NeutronStar:Distributed GNN Training with Hybrid Dependency Management, SIGMOD 22:1301-1315[pdf] [slides]

[WWWJ’22] 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, pages 1377–1402 (2022).

[SIGMOD’20] 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 2020:2439-2454.[pdf] [slides][code]

[APWEB’20] Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, Ge Yu. partition-oriented subgraph matching on GPU, APWEB-WAIM 2020:pp 53–68 (Best Paper Runner-up)