Wang Qiange (王千阁)

Norteastern University. School of Computer Science and Engineering.

wqg.jpg

B235 Information Building

Northeastern University, Hunnan Campus

Shenyang, Liaoning, China

I joined Northeastern University (China) as a Professor in February 2026. From 2022 to 2026, I was a Postdoctoral Research Fellow at the National University of Singapore, working with Bingsheng He in the 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.

My research interests include parallel graph processing and learning systems, graph-based RAG and agents, and data processing and management on GPUs and NPUs. I am actively looking for self-motivated Master and PhD students to join my research group in Fall 2026/2027. If you are interested in my research, please reach out to me via wangqg[at] mail.neu.edu.cn with your CV and transcript.

news

Jan 08, 2026 I will join the Department of Computer Science at Northeastern University (China) as a faculty member since 2026 spring.
Aug 25, 2025 DepCache is accepted by SIGMOD 2026

selected publications

  1. SIGMOD 22
    Neutronstar: distributed GNN training with hybrid dependency management
    Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, and 2 more authors
    In Proceedings of the 2022 International Conference on Management of DataSIGMOD 2022 Most Influential Paper (11/15) , Jun 2022
  2. SIGMOD 20
    Automating incremental and asynchronous evaluation for recursive aggregate data processing
    Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, and 3 more authors
    In Proceedings of the 2020 ACM SIGMOD International Conference on Management of data, Jun 2020
  3. SIGMOD 26
    DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention
    Hao Yuan, Xin Ai, Qiange Wang, Peizheng Li, and 7 more authors
    Proc. ACM Manag. Data, 2025
  4. SIGMOD 24
    HongTu: Scalable Full-Graph GNN Training on Multiple GPUs
    Qiange Wang, Yao Chen, Weng-Fai Wong, and Bingsheng He
    Proc. ACM Manag. Data&nbspSIGMOD 2024 Most Influential Paper (14/15) , 2023