最新发表论文 （完整论文列表）

• 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.
• SRDC: Semantics-based Ransomware Detection and Classification with LLM-assisted Pre-training  (CCFA)
  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.
• MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus  (CCFA) [Code]
  Zeshun Peng, Yanfeng Zhang, Tinghao Feng, Weixing Zhou, Xiaohua Li, Ge Yu.
  IEEE International Conference on Data Engineering (ICDE 2025).
• 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]
  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  (CCFA)
  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)
  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.
• 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.
• 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]
  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A)
  赵港，王千阁，姚烽，张岩峰，于戈
  软件学报, 33(1), 2022（年度下载量第一）.
• 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
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