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ORCIDYanfeng Zhang 0001
Person information
- affiliation (PhD 2012): Northeastern University, Department of Computer Science and Engineering, Shenyang, Liaoning, China
Other persons with the same name
- Yanfeng Zhang — disambiguation page
- Yanfeng Zhang 0002
![[0000-0001-6291-0390]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6291-0390")
— Dongguan University of Technology, School of Electrical Engineering and Intelligentization, China (and 2 more)
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2020 – today
- 2025
[j39]Gang Wang, Yanfeng Zhang, Chenhao Ying, Qinnan Zhang, Zehui Xiong, Jiakang Wang, Ge Yu:
MMFed: A Multimodal Federated Learning Framework for Heterogeneous Devices. IEEE Internet Things J. 12(18): 36893-36907 (2025)- [j38]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. Knowl. Based Syst. 309: 112786 (2025) - [j37]Zhen Song, Yu Gu, Tianyi Li, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu:
SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training. Proc. ACM Manag. Data 3(3): 223:1-223:26 (2025) - [j36]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. Proc. ACM Manag. Data 3(4): 257:1-257:29 (2025) - [j35]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. Proc. VLDB Endow. 18(6): 1705-1719 (2025) - [j34]Weixing Zhou, Yanfeng Zhang, Xinji Zhou, Zhiyou Wang, Zeshun Peng, Yang Ren, Sihao Li, Huanchen Zhang, Guoliang Li, Ge Yu:
Concurrency Control as a Service. Proc. VLDB Endow. 18(9): 2761-2774 (2025) - [j33]Qiange Wang, Yongze Yan, Hongshi Tan, Cheng Chen, Cheng Zhao, Jiaming Tian, Jiaxin Jiang, Xiaoliang Cong, Yanfeng Zhang, Ge Yu, Weng-Fai Wong, Bingsheng He:
Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing. Proc. VLDB Endow. 18(11): 3854-3867 (2025) - [j32]Delong Ma, Ye Yuan, Yanfeng Zhang, Chunze Cao, Yuliang Ma:
Cost-Aware Triangle Counting Over Geo-Distributed Datacenters. IEEE Trans. Big Data 11(4): 2008-2024 (2025) - [j31]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 Trans. Parallel Distributed Syst. 36(5): 961-976 (2025) - [c23]Zeshun Peng, Yanfeng Zhang, Tinghao Feng, Weixing Zhou, Xiaohua Li, Ge Yu:
MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus. ICDE 2025: 1250-1264 - [c22]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. SIGMOD Conference Companion 2025: 163-166 - [i17]Song Yu, Shengyuan Lin, Shufeng Gong, Yongqing Xie, Ruicheng Liu, Yijie Zhou, Ji Sun, Yanfeng Zhang, Guoliang Li, Ge Yu:
A Topology-Aware Localized Update Strategy for Graph-Based ANN Index. CoRR abs/2503.00402 (2025) - [i16]Yijie Zhou, Shengyuan Lin, Shufeng Gong, Song Yu, Shuhao Fan, Yanfeng Zhang, Ge Yu:
GoVector: An I/O-Efficient Caching Strategy for High-Dimensional Vector Nearest Neighbor Search. CoRR abs/2508.15694 (2025) - [i15]Feng Yao, Xiaokang Yang, Shufeng Gong, Song Yu, Yanfeng Zhang, Ge Yu:
GeoLayer: Towards Low-Latency and Cost-Efficient Geo-Distributed Graph Stores with Layered Graph. CoRR abs/2509.02106 (2025) - 2024
- [j30]Song Yu, Shufeng Gong, Qian Tao, Sijie Shen, Yanfeng Zhang, Wenyuan Yu, Pengxi Liu, Zhixin Zhang, Hongfu Li, Xiaojian Luo, Ge Yu, Jingren Zhou:
LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR. Proc. ACM Manag. Data 2(6): 243:1-243:28 (2024) - [j29]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. Proc. VLDB Endow. 17(6): 1241-1254 (2024) - [j28]Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu:
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. Proc. VLDB Endow. 17(8): 1995-2008 (2024) - [j27]Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu:
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training. Proc. VLDB Endow. 17(11): 3388-3401 (2024) - [j26]Hongfu Li, Qian Tao, Song Yu, Shufeng Gong, Yanfeng Zhang, Feng Yao, Wenyuan Yu, Ge Yu, Jingren Zhou:
GastCoCo: Graph Storage and Coroutine-Based Prefetch Co-Design for Dynamic Graph Processing. Proc. VLDB Endow. 17(13): 4827-4839 (2024) - [j25]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. Proc. VLDB Endow. 18(2): 173-186 (2024) - [j24]Jie Song, Peimeng Zhu, Yanfeng Zhang, Ge Yu:
CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy Mix. IEEE Trans. Parallel Distributed Syst. 35(4): 531-547 (2024) - [j23]Feng Yao, Qian Tao, Shengyuan Lin, Yanfeng Zhang, Wenyuan Yu, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou:
Towards Efficient Graph Processing in Geo-Distributed Data Centers. IEEE Trans. Parallel Distributed Syst. 35(11): 2147-2160 (2024) - [j22]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. VLDB J. 33(3): 781-806 (2024) - [c21]Shufeng Gong, Zhixin Zhang, Jing Lu, Yanfeng Zhang, Cong Fu, Ge Yu:
Accelerating Topic-Sensitive PageRank by Exploiting the Query History. COCOON (2) 2024: 514-525 - [c20]Gang Wang, Yanfeng Zhang, Chenhao Ying, Xiaohua Li, Ge Yu:
Hammer: A General Blockchain Evaluation Framework. ICDCS 2024: 391-402 - [c19]Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu:
Fast Iterative Graph Computing with Updated Neighbor States. ICDE 2024: 2449-2462 - [c18]Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu:
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. ICDE 2024: 3865-3877 - [c17]Tinghao Feng, Zeshun Peng, Yanfeng Zhang, Xiaohua Li, Xiaomei Dong, Ge Yu:
HIChain: A Hierarchical IoT Permissioned Blockchain with Edge Cloud Architecture. WISE (3) 2024: 253-266 - [i14]Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu:
Fast Iterative Graph Computing with Updated Neighbor States. CoRR abs/2407.14544 (2024) - [i13]Song Yu, Shufeng Gong, Qian Tao, Sijie Shen, Yanfeng Zhang, Wenyuan Yu, Pengxi Liu, Zhixin Zhang, Hongfu Li, Xiaojian Luo, Ge Yu, Jingren Zhou:
LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR. CoRR abs/2411.06392 (2024) - [i12]Hanzhang Chen, Xiangzhi Zhang, Shufeng Gong, Feng Yao, Song Yu, Yanfeng Zhang, Ge Yu:
TRAPP: An Efficient Point-to-Point Path Planning Algorithm for Road Networks with Restrictions. CoRR abs/2412.05804 (2024) - [i11]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. CoRR abs/2412.20379 (2024) - 2023
- [j21]Zhuojin Liu, Shufeng Gong, Yuxuan Su, Changyi Wan, Yanfeng Zhang, Ge Yu:
Improving Density Peaks Clustering through GPU acceleration. Future Gener. Comput. Syst. 141: 399-413 (2023) - [j20]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:
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database. Proc. ACM Manag. Data 1(1): 62:1-62:27 (2023) - [j19]Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu:
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling. Proc. ACM Manag. Data 1(4): 229:1-229:26 (2023) - [j18]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. Proc. VLDB Endow. 17(3): 264-277 (2023) - [j17]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. Proc. VLDB Endow. 17(3): 455-468 (2023) - [c16]Shufeng Gong, Song Yu, Yanfeng Zhang, Ge Yu:
Accelerating Incremental Graph Processing by Layering Graph. ACM TUR-C 2023: 160-161 - [c15]Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu:
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. ICDE 2023: 558-571 - [c14]Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou:
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. ICDE 2023: 2766-2779 - [i10]Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou:
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. CoRR abs/2304.07458 (2023) - [i9]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:
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database. CoRR abs/2304.09692 (2023) - [i8]Yanfeng Zhang, Weixing Zhou, Yang Ren, Sihao Li, Guoliang Li, Ge Yu:
Towards Transaction as a Service. CoRR abs/2311.07874 (2023) - [i7]Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu:
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. CoRR abs/2311.13225 (2023) - [i6]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. CoRR abs/2311.13279 (2023) - [i5]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. CoRR abs/2312.02473 (2023) - 2022
- [j16]Jiwen Ding, Zhuojin Liu, Yanfeng Zhang, Shufeng Gong, Ge Yu:
LayerLSH: Rebuilding Locality-Sensitive Hashing Indices by Exploring Density of Hash Values. IEEE Access 10: 69851-69865 (2022) - [j15]Jie Song, Peimeng Zhu, Yanfeng Zhang, Ge Yu:
Versatility or validity: A comprehensive review on simulation of Datacenters powered by Renewable Energy mix. Future Gener. Comput. Syst. 136: 326-341 (2022) - [j14]Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, Ge Yu:
NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering. Proc. VLDB Endow. 15(11): 2585-2598 (2022) - [c13]Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu:
NeutronStar: Distributed GNN Training with Hybrid Dependency Management. SIGMOD Conference 2022: 1301-1315 - [i4]Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu:
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. CoRR abs/2208.14935 (2022) - 2021
- [j13]Guo Fu, Yanfeng Zhang, Ge Yu:
A Fair Comparison of Message Queuing Systems. IEEE Access 9: 421-432 (2021) - [j12]Yanyan Liang, Yanfeng Zhang, Dechao Gao, Qian Xu:
An End-to-End Multiplex Graph Neural Network for Graph Representation Learning. IEEE Access 9: 58861-58869 (2021) - [j11]Shufeng Gong, Chao Tian, Qiang Yin, Wenyuan Yu, Yanfeng Zhang, Liang Geng, Song Yu, Ge Yu, Jingren Zhou:
Automating Incremental Graph Processing with Flexible Memoization. Proc. VLDB Endow. 14(9): 1613-1625 (2021) - [j10]Shufeng Gong, Yanfeng Zhang, Ge Yu:
Accelerating Large-Scale Prioritized Graph Computations by Hotness Balanced Partition. IEEE Trans. Parallel Distributed Syst. 32(4): 746-759 (2021) - 2020
- [j9]Xun Wei, Xiaowang Kong, Yanfeng Zhang, Ge Yu:
PowerHash: a hybrid grouping scheme by leveraging power-law properties of data. Int. J. Data Sci. Anal. 9(3): 273-284 (2020) - [c12]Yanfeng Zhang, Qiange Wang, Shufeng Gong:
Distributed Graph Processing: Techniques and Systems. APWeb/WAIM Workshops 2020: 14-23 - [c11]Yuxuan Su, Yanfeng Zhang, Changyi Wan, Ge Yu:
GDPC: A GPU-Accelerated Density Peaks Clustering Algorithm. DASFAA (1) 2020: 305-313 - [c10]Shufeng Gong, Yanfeng Zhang, Ge Yu:
HBP: Hotness Balanced Partition for Prioritized Iterative Graph Computations. ICDE 2020: 1942-1945 - [c9]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 Conference 2020: 2439-2454
2010 – 2019
- 2018
- [j8]Jiangtao Yin, Yanfeng Zhang, Lixin Gao:
Accelerating distributed Expectation-Maximization algorithms with frequent updates. J. Parallel Distributed Comput. 111: 65-75 (2018) - 2017
- [j7]Pu He, Ge Yu, Yanfeng Zhang, Yubin Bao:
区块链技术与应用前瞻综述 (Survey on Blockchain Technology and Its Application Prospect). 计算机科学 44(4): 1-7 (2017) - [j6]Shufeng Gong, Yanfeng Zhang, Ge Yu:
Clustering Stream Data by Exploring the Evolution of Density Mountain. Proc. VLDB Endow. 11(4): 393-405 (2017) - [c8]Yanfeng Zhang, Shimin Chen, Ge Yu:
Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce. ICDE 2017: 67-68 - [i3]Shufeng Gong, Yanfeng Zhang, Ge Yu:
Clustering Stream Data by Exploring the Evolution of Density Mountain. CoRR abs/1710.00867 (2017) - [i2]Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang:
Maiter: An Asynchronous Graph Processing Framework for Delta-based Accumulative Iterative Computation. CoRR abs/1710.05785 (2017) - 2016
- [j5]Yanfeng Zhang, Shimin Chen, Ge Yu:
Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce. IEEE Trans. Knowl. Data Eng. 28(12): 3218-3230 (2016) - [c7]Yanfeng Zhang, Shimin Chen, Qiang Wang, Ge Yu:
i2MapReduce: Incremental mapreduce for mining evolving big data. ICDE 2016: 1482-1483 - 2015
- [j4]Yanfeng Zhang, Shimin Chen, Qiang Wang, Ge Yu:
i2 MapReduce: Incremental MapReduce for Mining Evolving Big Data. IEEE Trans. Knowl. Data Eng. 27(7): 1906-1919 (2015) - [i1]Yanfeng Zhang, Shimin Chen, Qiang Wang, Ge Yu:
i2MapReduce: Incremental MapReduce for Mining Evolving Big Data. CoRR abs/1501.04854 (2015) - 2014
- [j3]Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang:
Maiter: An Asynchronous Graph Processing Framework for Delta-Based Accumulative Iterative Computation. IEEE Trans. Parallel Distributed Syst. 25(8): 2091-2100 (2014) - [c6]Dong Chang, Yanfeng Zhang, Ge Yu:
MaiterStore: A Hot-Aware, High-Performance Key-Value Store for Graph Processing. DASFAA Workshops 2014: 117-131 - [c5]Chen Li, Yanfeng Zhang, Minghai Jiao, Ge Yu:
Mux-Kmeans: multiplex kmeans for clustering large-scale data set. ScienceCloud@HPDC 2014: 25-32 - [p2]Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang:
iMapReduce: Extending MapReduce for Iterative Processing. Large Scale and Big Data 2014: 107-126 - [p1]Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang:
Asynchronous Computation Model for Large-Scale Iterative Computations. Cloud Computing for Data-Intensive Applications 2014: 303-328 - 2013
- [j2]Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang:
PrIter: A Distributed Framework for Prioritizing Iterative Computations. IEEE Trans. Parallel Distributed Syst. 24(9): 1884-1893 (2013) - 2012
- [j1]Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang:
iMapReduce: A Distributed Computing Framework for Iterative Computation. J. Grid Comput. 10(1): 47-68 (2012) - [c4]Jiangtao Yin, Yanfeng Zhang, Lixin Gao:
Accelerating Expectation-Maximization Algorithms with Frequent Updates. CLUSTER 2012: 275-283 - 2011
- [c3]Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang:
PrIter: a distributed framework for prioritized iterative computations. SoCC 2011: 13 - [c2]Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang:
iMapReduce: A Distributed Computing Framework for Iterative Computation. IPDPS Workshops 2011: 1112-1121
2000 – 2009
- 2009
- [c1]Yanfeng Zhang, Lixin Gao, Cuirong Wang:
MultiNet: Multiple Virtual Networks for a Reliable Live Streaming Service. GLOBECOM 2009: 1-6
Coauthor Index
[j39] [j38] [j37] [j36] [j35] [j34] [j33] [j31] [c23] [c22] [i17] [i16] [i15] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [c21] [c20] [c19] [c18] [c17] [i14] [i13] [i12] [i11] [j21] [j20] [j19] [j18] [j17] [c16] [c15] [c14] [i10] [i9] [i8] [i7] [i6] [i5] [j16] [j15] [j14] [c13] [i4] [j13] [j11] [j10] [j9] [c11] [c10] [c9] [j7] [j6] [c8] [i3] [j5] [c7] [j4] [i1] [c6] [c5]
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