Wang Qian-ge
Postdoc at SoC, NUS
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‘24] Qiange Wang, Yao Chen, Weng-Fai Wong, and Bingsheng He. HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communicated-optimized CPU data offloading) (Accepted)[paper]
[ICDE‘23] Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu. HyTGraph: GPU-accelerated Graph Processing with Hybrid Transfer Management.[code][paper]
[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 [slides][paper].
[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.[slides][code][paper]
[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.] (Accept)
[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] (Accepted)
[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).
[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)
Project
Awards
National Scholarship of China 2020
APWEB-WAIM 2020 Best Paper Runner-up
Professional Services
PC member: ICDE 2024
Subreviewer: EDBT/DATE/VLDB 2023, SIGMOD 2024
Journal Reviewer: The Journal of Supercomputing