张岩峰（Professor）
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- Supervisor of Doctorate Candidates Supervisor of Master's Candidates
- E-Mail:
- School/Department:Northeastern University
- Administrative Position:Professor
- Contact Information:zhangyf@mail.neu.edu.cn
- Teacher College:计算机科学与工程学院
- Discipline:
Computer Software and Theory
Research Field
- No content
Paper Publications
- Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, and Ge Yu. NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism [J]. Proceedings of the VLDB Endowment (PVLDB 2025). (CCF A).
- Yajiong Liu, Yanfeng Zhang, Qiange Wang, Hao Yuan, Xin Ai, and Ge Yu. NeutronSketch: An In-Depth Exploration of Redundancy in Large-Scale Graph Neural Network Training [J]. Knowledge-Based Systems (KBS). 2024. （SCI一区）.
- Zeshun Peng, Yanfeng Zhang, Tinghao Feng, Weixing Zhou, Xiaohua Li, and Ge Yu. MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus [J]. Proceedings of 40th IEEE International Conference on Data Engineering (ICDE 2025), Hongkong, China, 2025. (CCF A).
- 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 [J]. IEEE Transactions on Parallel and Distributed Systems (TPDS). 2024. (CCF A).
- Hongfu Li, Qian Tao, Song Yu, Shufeng Gong, Yanfeng Zhang, Feng Yao, Wenyuan Yu, Ge Yu, and Jingren Zhou. GastCoCo: Graph Storage and Coroutine-Based Prefetch Co-Design for Dynamic Graph Processing [J]. Proceedings of the VLDB Endowment, 2025. (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. LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-level CSR [J]. Proceedings of the International Conference on Management of Data (SIGMOD 2025), Berlin, Germany, 2025. （CCF A）.
- Gang Wang, Yanfeng Zhang, Chenhao Ying, Xiaohua Li, and Ge Yu. Hammer: A General Blockchain Evaluation Framework [C]. Proceedings of 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024), Jersey City, USA. (CCF B).
- Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, and Ge Yu. DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training [J]. Proceedings of the VLDB Endowment, 2024. (CCF A).
- Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, and Ge Yu. NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments [C]. Proceedings of the VLDB Endowment, 2024. (CCF A).
- Zhixin Zhang, Shufeng Gong, Yanfeng Zhang, and Ge Yu. Accelerating Topic-Sensitive PageRank by Exploiting the Query History [C]. Proceedings of 30th International Computing and Combinatorics Conference (COCOON 2024), Shanghai, China. (CCF B).
- Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, and Ge Yu. Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective [C]. PVLDB 2024, Guangzhou, China, 2024. (CCF A).
- Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, and Jeffery Xu Yu. Fast Iterative Graph Computing with Updated Neighbor States [C]. Proceedings of 39th IEEE International Conference on Data Engineering (ICDE 2024), Utrecht, Netherlands, 2024. （CCF A）.
- Shufeng Gong, Chao Tian, Qiang Yin, Zhengdong Wang, Song Yu, Yanfeng Zhang, Wenyuan Yu, Liang Geng, Chong Fu, Ge Yu, Jingren Zhou. Ingress: An Automated Incremental Graph Processing System [J]. VLDB Journal, 2024 (CCF A).
- Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, and Ge Yu. NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams [C]. PVLDB 2024, Guangzhou, China, 2024. (CCF A).
- Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou. RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing [C]. PVLDB 2024, Guangzhou, China, 2024. (CCF A).
- Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, and Ge Yu. LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control [C]. Proceedings of 39th IEEE International Conference on Data Engineering (ICDE 2024), Utrecht, Netherlands, 2024. (CCF A).
- Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, and Ge Yu. ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling [C]. Proceedings of ACM International Conference on Management of Data (SIGMOD 2024), Santiago, Chile, 2024. (CCF A).
- Jie Song, Peimeng Zhu, Yanfeng Zhang, and Ge Yu. CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy Mix [J]. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024, 35(4): 531-547. (CCF A).
- Zhixin Zhang, Shufeng Gong, Yanfeng Zhang, and Ge Yu. Accelerating Topic-Sensitive PageRank by Exploiting the Query History [C]. Proceedings of 30th International Computing and Combinatorics Conference (COCOON 2024), Shanghai, China. (CCF B).
- Gang Wang, Yanfeng Zhang, Chenhao Ying, Xiaohua Li, and Ge Yu. Hammer: A General Blockchain Evaluation Framework [C]. Proceedings of 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024), Jersey City, USA. （CCF B）.
- 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, and Ge Yu. GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database [C]. Proceedings of ACM International Conference on Management of Data (SIGMOD 2023), Seattle, USA, 2023. (CCF A).
- Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, and Jingren Zhou. Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph [C]. Proceedings of 38th IEEE International Conference on Data Engineering (ICDE 2023), Anaheim, USA, 2023 (CCF A).
- Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, and Ge Yu. HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. ICDE 2023..
- 黄纯悦*，彭起*，张拂晓，王声溢，罗成，张岩峰，于戈. 多副本分布式事务处理关键技术及典型数据库系统综述 [J]. 软件学报, 2023. (CCF 中文A).
- Gang Wang, Qi Peng, Yanfeng Zhang. What Have We Learned from OpenReview? [J]. World Wide Web, 2022. （CCF B）.
- Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, and Ge Yu. NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering [C]. PVLDB Endowment, 15(12), 2022..
- NeutronStar: Distributed GNN Training with Hybrid Dependency Management.
- 崔玉龙，付国，张岩峰，于戈. Elsa：一种面向跨区域架构的无协调分布式键值存储系统 [J]. 软件学报，2022. (CCF 中文A).
- 赵港，王千阁，姚烽，张岩峰，于戈. 大规模图神经网络系统综述 [J]. 软件学报, 2021. (CCF 中文A).
- Shufeng Gong, Yanfeng Zhang, and Ge Yu. Accelerating Large-Scale Prioritized GraphComputations by Hotness Balanced Partition [J]. IEEE Transactions on Parallel and Distributed Systems (TPDS), 32(4), 746-759, 2021. （CCF A）.
- Shufeng Gong, Chao Tian, Qiang Yin, Wenyuan Yu, Yanfeng Zhang, Liang Geng, Song Yu, Ge Yu, and Jingren Zhou. Automating Incremental Graph Processing with Flexible Memoization [J]. PVLDB Endowment, 2021. （CCF A）.
- Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang, Ge Yu. Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing [C]. Proceedings of ACM International Conference on Management of Data (SIGMOD 2020), Portlad, USA, 2020, pp. 2439-2454. （CCF A）.
- Shufeng Gong, Yanfeng Zhang, and Ge Yu. HBP: Hotness Balanced Partition for Prioritized Iterative Graph Computations [C]. Proceedings of 36th IEEE International Conference on Data Engineering (ICDE 2020), Dallas, USA, 2020, pp. 1942-1945. （CCF A）.
- Yuxuan Su, Yanfeng Zhang, Changyi Wan, and Ge Yu. GDPC: A GPU-Accelerated Density Peaks Clustering Algorithm [C]. Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA 2020), Jeju, South Korea, 2020. （CCF B）.
- Xun Wei, Xiaowang Kong, Yanfeng Zhang, and Ge Yu. PowerHash: a Hybrid Grouping Scheme by Leveraging Power-Law Properties of Data [J]. International Journal of Data Science and Analytics, 9(3), 273-284, 2020. .
- Hao Wang*, Liang Geng*, Kaixi Hou, Rubao Lee, Yanfeng Zhang, and Xiaodong Zhang. SEP-Graph: Finding Shortest Execution Paths for Graph Processing under a Hybrid Framework on GPU [C]. Proceedings of Principles and Practice of Parallel Programming (PPoPP 2019), Washington, USA. （CCF A）.
- Yabing Zhu, Yanfeng Zhang, Huili Yang, and Fangjing Wang. GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach Based on GAN [C]. Proceedings of the 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2019), Dunhuang, China, 2019. ( CCF C）.
- 于戈，聂铁铮，李晓华，张岩峰，申德荣，鲍玉斌. 区块链系统中的分布式数据管理技术——挑战与展望 [J]. 计算机学报，2019. (CCF 中文A).
Patents
- 一种适用于高并发事务的联盟链系统及其设计方法。申请日期2021.7.19，申请号202110692495.9。申请人：徐倩、彭泽顺、孙浩、张岩峰、王刚、刘海旭、李晓华、于戈
- 一种面向跨区域的多主模型分布式图计算方法。申请日期2021.6.10，申请号202110648556.1。申请人：姚烽、张岩峰、巩树凤。
- 一种分区区块链系统的设计方法。申请日期2021.3.30，申请号202110340351.7。申请人：张长贵、张岩峰、李晓华、聂铁铮、于戈。
- 一种基于区块链技术的论文同行评审系统。申请日期2021.3.22，申请号202110301703.8。申请人：刘鑫、章宇航、张岩峰、徐倩、于戈。
- 一种利用GPU加速密度峰聚类的方法。申请日期2020.8.13，申请号202010811897.1。申请人：苏雨萱、张岩峰、宛长义、于戈。
- 一种基于深度强化学习的分级存储数据自动迁移方法。申请日期2020.8.7，申请号202010785961.3。申请人：张岩峰、付国、张一奇。
- 基于Kafka的分布式数据流分级缓存自动迁移算法。申请日期2020.8.7，申请号202010785947.3。申请人：付国、杨慧丽、张岩峰、张一奇。
- 一种基于多层局部敏感哈希的k最近邻近似查询方法。申请日期2019.8.8，申请号201910728763.0。申请人：张岩峰。
- 一种从自然语言自动生成python代码的方法。申请日期2019.7.29，申请号201910689490.3。申请人：祝亚兵，张岩峰。（已授权）
- 基于K8s集群建立的依图写诗的控制方法。申请日期2018.6.21，申请号201810643605.0。申请人：王方京，祝亚兵，陈晶晶，杨慧丽，张岩峰。（已授权）
- 一种基于LSH的高维K-means聚类中心优选方法。申请日期2017.10.10，申请号2017103355235。申请人：周轩、孔晓旺、魏循、耿亮、于戈、张岩峰
- 一种基于密度值动态变化的流数据聚类方法。申请日期2016.6.27，申请号201610486506.7。申请人：巩树凤，张岩峰
Published Books
Research Projects
- “基于国产软硬件平台的数据库系统”，辽宁省杰青基金，项目负责人，2024.11-2026.10
- “基于日志结构的拓扑-属性半耦合图存储研究”，CCF-蚂蚁科研基金，项目负责人，2024.11-2025.10，蚂蚁集团
- “华为数据库可扩展性研究”，华为技术合作项目，项目负责人，2024.8-2027.7
- “基于非易失内存的数据库存储系统”，国家重点研发计划课题，2023YFB4503601，课题负责人，2023.12-2026.11
- “存算分离架构下分布式页面缓存管理策略的研究与实现”，CCF-华为胡杨林基金挑战课题，CCF-HuaweiDBC202306，项目负责人，2023.6-2024.5
- “面向图学习的分布式原生图存储和计算方法研究”，国家自然科学基金重点项目，U2241212，子课题负责人，2023.1-2026.12
- “基于无协调强一致性技术的多主架构云原生数据库”，CCF-华为胡杨林基金，项目负责人，2022.9-2023.8
- “统一图计算框架”，华为中央研究院技术合作项目，项目负责人，2021.7-2022.7
- “自动增量图计算框架的研究与实现”，阿里巴巴达摩院AIR创新研究计划（Alibaba Innovative Research Fund），项目负责人，2021.2-2022.1
- “单调图计算的理论与系统”，国家自然科学基金面上项目（National Natural Science Foundation of China，62072082），项目负责人，2021.1-2024.12
- “面向跨区域高可用的Coordination-Free分布式事务处理机制”，CCF-华为数据库创新研究计划（CCF-Huawei Database Innovation Research Funding，CCF-HuaweiDBIR2020009B），项目负责人，2020.10-2023.9
- “高可用联盟区块链系统的关键技术研究与示范应用”，辽宁省重点研发计划（Key R\&D Program of Liaoning Province，2020JH2/10100037），项目负责人，2020.5-2022.4