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

[TACO‘2025]Xin Ai, Bing Zhang, Qiange Wang, Yanfeng Zhang, Hao Yuan, Shufeng Gong, Ge Yu. NeutronAscend: Optimizing GNN Training with Ascend AI Processors. Accepted.

[SIGMOD‘2026] Hao Yuan, Xin Ai, Qiange Wang, Peizheng Li, Jiayang Yu, Chaoyi Chen, Xinbo Yang, Yanfeng Zhang, Zhenbo Fu, Yingyou Wen, Ge Yu. DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention.SIGMOD 2026 accepted

[SIGMOD‘2026]Chunyu Cao, Xin Ai, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Hao Yuan, Mingyi Cao, Chaoyi Chen, Yingyou Wen, Yu Gu, Ge Yu. NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters. SIGMOD 2026 Accepted.

[VLDB‘2026] Mingyi Cao, Chunyu Cao,Yanfeng Zhang, Zhenbo Fu, Xin Ai, Qiange Wang, Yu Gu, Ge Yu. NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments, Accepted.

[FCS‘2026]Kefu Chen, Xin Ai, Qiange Wang, Yanfeng Zhang, Ge Yu. AcOrch: accelerating sampling-based GNN training under CPU-NPU heterogeneous environments.

[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)

[SIGMOD‘2025 Demo] Peizheng Li, Chaoyi Chen, Hao Yuan, Zhenbo Fu, Hang Shen, Xinbo Yang, Qiange Wang, Xin Ai, Yanfeng Zhang, Yingyou Wen, Ge Yu: NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective.

[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.

[KBS‘2025] Yajiong Liu, Yanfeng Zhang, Qiange Wang, Hao Yuan, Xin Ai, Ge Yu: NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training

[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)

Project

PowerLog(SIGMOD’20)

NeutronStar(SIGMOD’22)

HyTGraph(ICDE’23)

Awards

Second Prize in Natural Sciences, China Computer Federation (中国计算机学会自然科学二等奖)

Excellent doctoral dissertations of Northeastern University

National Scholarship of China 2020

APWEB-WAIM 2020 Best Paper Runner-up

Professional Services

PC member:

2024: ICDE;

2025: APWEB-WAIM;

2026: PAKDD; ICDE Demo Track;

Journal Reviewer:

Transactions on Knowledge and Data Engineering;

Transactions on Computers;

Journal of System and Architecture;

Computer Networks;

The Journal of Supercomputing;

Sub-/Invited reviewer: EDBT/DATE/VLDB 2023, SIGMOD 2024,Eurosys 2026