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

May 06, 2026 “RegionCache: Semantic-Aware Region Reuse for Efficient Multi-Turn Image Generation” is accepted by IJCAI 2026. This was our first attempt at optimizing diffusion model, and we are delighted with the result. It’s a bit of a shame that IJCAI was downgraded to CCF B, but we still look forward to making more progress in this field in the future. Congratulations to Peizheng!
Mar 10, 2026 Our paper “Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing” has been selected as one of the Best of VLDB 2025 and invited to submit an extended version to a VLDBJ special issue.
Feb 26, 2026 NeutronRT is accepted by ICDE 2026

selected publications

  1. VLDB 25
    Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing
    Qiange Wang, Yongze Yan, Hongshi Tan, Cheng Chen, and 7 more authors
    Proceedings of the VLDB EndowmentBest of VLDB 2025 , 2025
  2. 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
  3. 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
  4. 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
  5. SIGMOD 24
    HongTu: Scalable Full-Graph GNN Training on Multiple GPUs
    Qiange Wang, Yao Chen, Weng-Fai Wong, and Bingsheng He
    Proc. ACM Manag. DataSIGMOD 2024 Most Influential Paper (14/15) , 2023