最新发表论文
2026
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Incremental GNN Embedding Computation on Streaming Graphs (CCF A)
Qiange Wang, Haoran Lv, Yanfeng Zhang, Weng-Fai Wong, Bingsheng He
42nd IEEE International Conference on Data Engineering (ICDE 2026), Montréal, Canada, 2026. -
GETL: An Extract-Transform-Load Framework Across Graph Models in Graph Warehouse (CCF A)
Feng Yao, Xiaokang Yang, Shufeng Gong, Qian Tao, Yanfeng Zhang, Wenyuan Yu, Ge Yu.
IEEE Transactions on Knowledge and Data Engineering (TKDE). -
Ponzitracker: A General Detection Framework for Ponzi Scheme in Blockchains (CCF B)
Gang Wang, Yiping Teng, Zhen Song, Leyang Li, Qinnan Zhang, Qingbo Zhang, Yanfeng Zhang, Ge Yu.
Proceedings of the International Conference on Database Systems for Advanced Applications (DASFAA 2026), Jeju Island, South Korea, 2026. -
PAT: Towards Transaction Routing with Page Affinity in Shared-Cache Databases (CCF A)
[Code]
Zhongqin Tan, Haoyuan Zhang, Yanfeng Zhang, Zeshun Peng, Weixing Zhou, Jinyu Zhang, Yang Ren, Guoliang Li, Ge Yu.
42nd IEEE International Conference on Data Engineering (ICDE 2026), Montréal, Canada, 2026.
2025
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AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments (CCF B)
Kefu Chen, Xin Ai, Qiange Wang, Yanfeng Zhang, Ge Yu.
Frontiers of Computer Science (FCS), 2025. -
A Topology-Aware Localized Update Strategy for Graph-Based ANN Index (CCF A)
Song Yu, Shengyuan Lin, Shufeng Gong, Yongqing Xie, Ruicheng Liu, Yijie Zhou, Ji Sun, Yanfeng Zhang, Guoliang Li, Ge Yu.
Proceedings of the International Conference on Very Large Data Bases (VLDB 2026) , Boston, MA, USA , 2026. -
GoGraph: Accelerating Graph Processing through Incremental Reordering (CCF A)
Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, and Jeffrey Xu Yu.
IEEE Transactions on Knowledge and Data Engineering (TKDE). -
GeoLayer: Towards Low-Latency and Cost-Efficient Geo-Distributed Graph Stores with Layered Graph (CCF A)
Feng Yao, Xiaokang Yang, Shufeng Gong, Song Yu, Yanfeng Zhang, Ge Yu.
42nd IEEE International Conference on Data Engineering (ICDE 2026), Montréal, Canada, 2026. -
NeutronAscend: Optimizing GNN Training with Ascend AI Processors (CCF A)
[Code]
Xin Ai, Bing Zhang, Qiange Wang, Yanfeng Zhang, Hao Yuan, Shufeng Gong, Ge Yu.
ACM Transactions on Architecture and Code Optimization (TACO ), 2025. - FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training (CCF A)
Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi, A-Long Jin, Yanfeng Zhang, Pei Xiao, Rahim Tafazolli, and Merouane Abdelkader.
Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, USA, 2025. -
DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention (CCF A)
[Code]
Hao Yuan, Xin Ai, Qiange Wang, Peizheng Li, Jiayang Yu, Chaoyi Chen, Xinbo Yang, Yanfeng Zhang, Zhenbo Fu, Yingyou Wen, Ge Yu.
Proceedings of the International Conference on Management of Data (SIGMOD 2026), Bangalore, India, 2026. - GoVector: I/O高效的高维向量近邻查询缓存策略 (CCF 中文T1)
周依杰, 林圣原, 巩树凤, 余松, 范书豪, 张岩峰, 于戈.
软件学报 , 2026. - NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments (CCF A)
Mingyi Cao, Chunyu Cao, Yanfeng Zhang, Zhenbo Fu, Xin Ai, Qiange Wang, Yu Gu, and Ge Yu.
Proceedings of the International Conference on Very Large Data Bases (VLDB 2026) , Boston, MA, USA , 2026. - NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters (CCF A)
Chunyu Cao, Xin Ai, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Hao Yuan, Mingyi Cao, Chaoyi Chen, Yingyou Wen, Yu Gu, and Ge Yu.
Proceedings of the International Conference on Management of Data (SIGMOD 2026), Bangalore, India, 2026. - MMFed: A Multimodal Federated Learning Framework for Heterogeneous Devices (SCI 一区)
Gang Wang, Yanfeng Zhang, Chenhao Ying, Qinnan Zhang, Zehui Xiong, Jiakang Wang, and Ge Yu.
IEEE Internet of Things Journal (IoT) , 2025. -
Concurrency Control as a Service (CCF A)
[Code]
Weixing Zhou, Yanfeng Zhang, Xinji Zhou, Zhiyou Wang, Zeshun Peng, Yang Ren, Sihao Li, Huanchen Zhang, Guoliang Li, and Ge Yu.
Proceedings of the International Conference on Very Large Data Bases (VLDB 2025) , London, United Kingdom, 2025. - Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing (CCF A) [Code] (Best of 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.
Proceedings of the VLDB Endowment (PVLDB 2025), London, United Kingdom, 2025. - Towards Communication-Efficient Out-of-Core Graph Processing on the GPU (CCF A)
Qiange Wang, Xin Ai, Yongze Yan, Shufeng Gong, Yanfeng Zhang, Jing Chen, Ge Yu.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2025, 36(5): 961-976. - NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective [Demo] (CCF A) [Code] [Video]
Peizheng Li, Chaoyi Chen, Hao Yuan, Zhenbo Fu, Hang Shen, Xinbo Yang, Qiange Wang, Xin Ai, Yanfeng Zhang, Yingyou Wen, Ge Yu.
Proceedings of the International Conference on Management of Data (SIGMOD 2025), Berlin, Germany, 2025. - NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism (CCF A) [Code]
Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, Shizhan Lu, Chaoyi Chen, Chunyu Cao, Hao Yuan, Zhewei Wei, Yu Gu, Yingyou Wen, Ge Yu
Proceedings of the VLDB Endowment (PVLDB 2025), London, United Kingdom, 2025. - SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training (CCF A)
Zhen Song, Yu Gu, Tianyi Li, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu.
Proceedings of the International Conference on Management of Data (SIGMOD 2025), Berlin, Germany, 2025. - SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training (CCF A)
Ce Zhou, Yilun Liu, Weibin Meng, Shimin Tao, Weinan Tian, Feiyu Yao, Xiaochun Li, Tao Han, Boxing Chen, Hao Yang.
Association for the Advancement of Artificial Intelligence (AAAI 2025). Philadelphia, Pennsylvania, USA, 2025. - 面向跨地理区域联盟链的事务处理技术 (CCF 中文T1)
彭泽顺, 韩智博, 张岩峰, 李晓华, 于明鹤, 范吉立, 于戈
软件学报, 2025. - MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus (CCF A) [Slides]
[Code]
Zeshun Peng, Yanfeng Zhang, Tinghao Feng, Weixing Zhou, Xiaohua Li, Ge Yu.
IEEE International Conference on Data Engineering (ICDE 2025). - Cost-Aware Triangle Counting over Geo-Distributed Datacenters (SCI一区)
Delong Ma, Ye Yuan, Yanfeng Zhang, Chunze Cao, Yuliang Ma.
IEEE Transactions on Big Data (TBD), 11(4): 2008-2024, 2025.
2024
- NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training (SCI一区)[Code]
Yajiong Liu, Yanfeng Zhang, Qiange Wang, Hao Yuan, Xin Ai and Ge Yu.
knowledge-based-systems (KBS). - NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism (CCF A) [Code, Slides]
Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu
Proceedings of the VLDB Endowment (PVLDB 2025), London, United Kingdom, 2025. - Towards Efficient Graph Processing in Geo-Distributed Data Centers (CCF A)
Feng Yao, Qian Tao, Shengyuan Lin, Yanfeng Zhang, Wenyuan Yu, Shufeng Gong, Qiange Wang, Ge Yu, and Jingren Zhou.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024, 35(11): 2147-2160. - GastCoCo: Graph Storage and Coroutine-Based Prefetch Co-Design for Dynamic Graph Processing (CCF A)[Code]
Hongfu Li, Qian Tao, Song Yu, Shufeng Gong, Yanfeng Zhang, Feng Yao, Wenyuan Yu, Ge Yu, and Jingren Zhou
Proceedings of the VLDB Endowment (PVLDB 2025), London, United Kingdom, 2025. - LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-level CSR (CCF A) (PaperDigest's Featured Papers of SIGMOD 2025)
Song Yu, Shufeng Gong, Qian Tao, Sijie Shen, Yanfeng Zhang, Wenyuan Yu, Pengxi Liu, Zhixin Zhang, Hongfu Li, Xiaojian Luo, Ge Yu, and Jingren Zhou.
Proceedings of the International Conference on Management of Data (SIGMOD 2025), Berlin, Germany, 2025. - DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training (CCF A)[Code]
Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, and Ge Yu
Proceedings of the VLDB Endowment (PVLDB 2024), Guangzhou, China, 2024. - Accelerating Topic-Sensitive PageRank by Exploiting the Query History (CCF B)
Shufeng Gong, Zhixin Zhang, Jing Lu, Yanfeng Zhang, Cong Fu, and Ge Yu
Proceedings of the International Computing and Combinatorics Conference (COCOON 2024), Shanghai, China, 2024. - Hammer: A General Blockchain Evaluation Framework (CCF B) [Code, Slides]
Gang Wang, Yanfeng Zhang, Chenhao Ying, Xiaohua Li and Ge Yu.
Proceedings of the International Conference on Distributed Computing Systems (ICDCS 2024), Jersey City, American, 2024. - Towards Transaction as a Service
Yanfeng Zhang, Weixing Zhou, Yang Ren, Sihao Li, Guoliang Li, and Ge Yu
arxiv 2311.07874, 2024. - NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments (CCF A)[Code, Slides]
Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu.
Proceedings of the VLDB Endowment (PVLDB 2024), Guangzhou, China, 2024. - Fast Iterative Graph Computing with Updated Neighbor States (CCF A) [Code, Slides]
Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu
IEEE International Conference on Data Engineering (ICDE) (ICDE 2024), Utrecht, Netherlands, 2024. - LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control (CCF A)
Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, and Ge Yu
IEEE International Conference on Data Engineering (ICDE) (ICDE 2024), Utrecht, Netherlands, 2024. - Ingress: an automated incremental graph processing system (CCF A) [Code]
Shufeng Gong, Chao Tian, Qiang Yin, Zhengdong Wang, Song Yu, Yanfeng Zhang, Wenyuan Yu, Liang Geng, Chong Fu, Ge Yu, Jingren Zhou
The VLDB Journal (2024)(VLDBJ 2024) - CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy Mix (CCF A)
ie Song, Peimeng Zhu, Yanfeng Zhang, and Ge Yu.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 35(4), Apr, 2024, pp. 531-547. - Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective (CCF A)[Code, Slides]
Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu.
Proceedings of the VLDB Endowment (PVLDB 2024), Guangzhou, China, 2024.
2023
- RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing (CCF
A) [ Code Slides]
Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, and Jingren Zhou.
Proceedings of the VLDB Endowment (PVLDB 2024), 2024, 17(3), 264-277, Guangzhou, China, - NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams (CCF
A)[Code, Slides]
Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu
Proceedings of the VLDB Endowment (PVLDB 2024), Guangzhou, China, 2024. - ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling (CCF
A)
Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, and Ge Yu
Proceedings of the International Conference on Management of Data (SIGMOD 2024), Santiago, Chile, 2024. - GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database (CCF
A)[Code,Slides, Video]
Weixing Zhou, Qi Peng, Zijie Zhang, Yanfeng Zhang, Yang Ren, Sihao Li, Guo Fu, Yulong Cui, Qiang Li, Caiyi Wu, Shangjun Han, Shengyi Wang, Guoliang Li, Ge Yu
Proceedings of the International Conference on Management of Data (SIGMOD 2023), Seattle, USA, 2023. - Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph (CCF
A)[Code, Video]
Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou
Proceedings of IEEE International Conference on Data Engineering (ICDE 2023), Dallas, USA, 2023. - HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management (CCF
A)[Code, Slides, Video]
Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, and Ge Yu
Proceedings of IEEE International Conference on Data Engineering (ICDE 2023), Dallas, USA, 2023.
before 2023
- NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering (CCF
A)[Code,Slides]
Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, Ge Yu
Proceedings of the VLDB Endowment (PVLDB 2022), Sydney, Australia (and hybrid), 2022. 
NeutronStar: Distributed GNN Training with Hybrid
Management (CCF A)[Code](PaperDigest's Most Influential Papers of SIGMOD 2022)
Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu
Proceedings of the International Conference on Management of Data (SIGMOD 2022), Philadephia, USA, 2022.- Automating Incremental Graph Processing with Flexible Memoization (CCF A) [Code,
Slides,
Video]
Shufeng Gong, Chao Tian, Qiang Yin, Wenyuan Yu, Yanfeng Zhang, Liang Geng, Song Yu, Ge Yu, Jingren Zhou
Proceedings of the VLDB Endowment (PVLDB 2021), Copenhagen, Denmark, 2021. - Accelerating Large-Scale
Prioritized Graph Computations by Hotness Balanced Partition (CCF A) [Code]
Shufeng Gong, Yanfeng Zhang, Ge Yu
IEEE Transactions on Parallel and Distributed Systems (TPDS), 32(4), Apr, 2021, pp. 746-759. - 大规模图神经网络系统综述 (CCF
中文T1)(《软件学报》2024年高影响力论文)
赵港，王千阁，姚烽，张岩峰，于戈
软件学报, 33(1), 2022. - What Have We Learned from OpenReview? [Code] Best Student Paper Runner-up
Gang Wang, Qi Peng, Yanfeng Zhang, Mingyang Zhang
APWeb-WAIM 2021, Guangzhou, China, 2021. - Distributed Graph Processing:
Techniques and Systems (Invited Tutorial) [Slides]
Yanfeng Zhang, Qiange Wang, Shufeng Gong.
APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM 2020), Tianjin, China, 2020. - Automating Incremental
and Asynchronous Evaluation for Recursive Aggregate Data Processing (CCF A) [Code, Slides]
Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang, Ge Yu.
ACM International Conference on Management of Data (SIGMOD 2020), Portlad, USA, 2020. - HBP: Hotness Balanced
Partition for Prioritized Iterative Graph Computations (CCF A) [Code,
Slides,
Video]
Shufeng Gong, Yanfeng Zhang, and Ge Yu
IEEE International Conference on Data Engineering 2020 (ICDE 2020), Dallas, USA, 2020. - GDPC: A GPU-Accelerated
Density Peaks Clustering Algorithm (CCF B) [Slides]
Yuxuan Su, Yanfeng Zhang, Changyi Wan, and Ge Yu
International Conference on Database Systems for Advanced Applications (DASFAA 2020), Jeju, South Korea, 2020. - SEP-Graph:
Finding Shortest Execution Paths for Graph Processing under a Hybrid Framework on GPU (CCF A)
[Code, Slides]
Hao Wang, Liang Geng, Rubao Lee, Kaixi Hou, Yanfeng Zhang, and Xiaodong Zhang
Conference on Principles and Practice of Parallel Programming 2019 (PPoPP 2019), Washington DC, USA, 2019. - GANCoder: An Automatic Natural
Language-to-Programming Language Translation Approach Based on GAN (CCF C)
Yabing Zhu, Yanfeng Zhang, Huili Yang, and Fangjing Wang
The 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019), Dunhuang, China, 2019. - Clustering Stream Data by Exploring the
Evolution of Density Mountain (CCF A) [Code, Slides]
Shufeng Gong, Yanfeng Zhang, Ge Yu
Proceedings of the VLDB Endowment (PVLDB), 11(4):393-405, 2018 - More ...