Yanfeng Zhang

According to our database, Yanfeng Zhang authored at least 72 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MMFed: A Multimodal Federated Learning Framework for Heterogeneous Devices.

Gang Wang, Yanfeng Zhang, Chenhao Ying, Qinnan Zhang, Zehui Xiong, Jiakang Wang, Ge Yu

IEEE Internet Things J., September, 2025

GeoLayer: Towards Low-Latency and Cost-Efficient Geo-Distributed Graph Stores with Layered Graph.

Feng Yao, Xiaokang Yang, Shufeng Gong, Song Yu, Yanfeng Zhang, Ge Yu

CoRR, September, 2025

Cost-Aware Triangle Counting Over Geo-Distributed Datacenters.

Delong Ma, Ye Yuan, Yanfeng Zhang, Chunze Cao, Yuliang Ma

IEEE Trans. Big Data, August, 2025

GoVector: An I/O-Efficient Caching Strategy for High-Dimensional Vector Nearest Neighbor Search.

Yijie Zhou, Shengyuan Lin, Shufeng Gong, Song Yu, Shuhao Fan, Yanfeng Zhang, Ge Yu

CoRR, August, 2025

Efficient Graph Data Access for Out-of-Memory GPU Streaming Graph Processing.

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

Proc. VLDB Endow., July, 2025

SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training.

Zhen Song, Yu Gu, Tianyi Li, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu

Proc. ACM Manag. Data, June, 2025

Towards Communication-Efficient Out-of-Core Graph Processing on the GPU.

Qiange Wang, Xin Ai, Yongze Yan, Shufeng Gong, Yanfeng Zhang, Jing Chen, Ge Yu

IEEE Trans. Parallel Distributed Syst., May, 2025

Concurrency Control as a Service.

Weixing Zhou, Yanfeng Zhang, Xinji Zhou, Zhiyou Wang, Zeshun Peng, Yang Ren, Sihao Li, Huanchen Zhang, Guoliang Li, Ge Yu

Proc. VLDB Endow., May, 2025

A Topology-Aware Localized Update Strategy for Graph-Based ANN Index.

Song Yu, Shengyuan Lin, Shufeng Gong, Yongqing Xie, Ruicheng Liu, Yijie Zhou, Ji Sun, Yanfeng Zhang, Guoliang Li, Ge Yu

CoRR, March, 2025

NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism.

Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, Shizhan Lu, Chaoyi Chen, Chunyu Cao, Hao Yuan, Zhewei Wei, Yu Gu, Yingyou Wen, Ge Yu

Proc. VLDB Endow., February, 2025

NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters.

Chunyu Cao, Xin Ai, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Hao Yuan, Mingyi Cao, Chaoyi Chen, Yingyou Wen, Yu Gu, Ge Yu

Proc. ACM Manag. Data, 2025

NeutronSketch: An in-depth exploration of redundancy in large-scale graph neural network training.

Yajiong Liu, Yanfeng Zhang, Qiange Wang, Hao Yuan, Xin Ai, Ge Yu

Knowl. Based Syst., 2025

NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective.

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 Companion of the 2025 International Conference on Management of Data, 2025

MassBFT: Fast and Scalable Geo-Distributed Byzantine Fault-Tolerant Consensus.

Zeshun Peng, Yanfeng Zhang, Tinghao Feng, Weixing Zhou, Xiaohua Li, Ge Yu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR.

Song Yu, Shufeng Gong, Qian Tao, Sijie Shen, Yanfeng Zhang, Wenyuan Yu, Pengxi Liu, Zhixin Zhang, Hongfu Li, Xiaojian Luo, Ge Yu, Jingren Zhou

Proc. ACM Manag. Data, December, 2024

Towards Efficient Graph Processing in Geo-Distributed Data Centers.

Feng Yao, Qian Tao, Shengyuan Lin, Yanfeng Zhang, Wenyuan Yu, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou

IEEE Trans. Parallel Distributed Syst., November, 2024

NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism.

Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu

Proc. VLDB Endow., October, 2024

GastCoCo: Graph Storage and Coroutine-Based Prefetch Co-Design for Dynamic Graph Processing.

Hongfu Li, Qian Tao, Song Yu, Shufeng Gong, Yanfeng Zhang, Feng Yao, Wenyuan Yu, Ge Yu, Jingren Zhou

Proc. VLDB Endow., September, 2024

DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training.

Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu

Proc. VLDB Endow., July, 2024

Ingress: an automated incremental graph processing system.

Shufeng Gong, Chao Tian, Qiang Yin, Zhengdong Wang, Song Yu, Yanfeng Zhang, Wenyuan Yu, Liang Geng, Chong Fu, Ge Yu, Jingren Zhou

VLDB J., May, 2024

CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy Mix.

Jie Song, Peimeng Zhu, Yanfeng Zhang, Ge Yu

IEEE Trans. Parallel Distributed Syst., April, 2024

NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments.

Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu

Proc. VLDB Endow., April, 2024

Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective.

Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu

Proc. VLDB Endow., February, 2024

TRAPP: An Efficient Point-to-Point Path Planning Algorithm for Road Networks with Restrictions.

Hanzhang Chen, Xiangzhi Zhang, Shufeng Gong, Feng Yao, Song Yu, Yanfeng Zhang, Ge Yu

CoRR, 2024

HIChain: A Hierarchical IoT Permissioned Blockchain with Edge Cloud Architecture.

Tinghao Feng, Zeshun Peng, Yanfeng Zhang, Xiaohua Li, Xiaomei Dong, Ge Yu

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Fast Iterative Graph Computing with Updated Neighbor States.

Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control.

Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Hammer: A General Blockchain Evaluation Framework.

Gang Wang, Yanfeng Zhang, Chenhao Ying, Xiaohua Li, Ge Yu

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Accelerating Topic-Sensitive PageRank by Exploiting the Query History.

Shufeng Gong, Zhixin Zhang, Jing Lu, Yanfeng Zhang, Cong Fu, Ge Yu

Proceedings of the Computing and Combinatorics - 30th International Conference, 2024

2023

ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling.

Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu

Proc. ACM Manag. Data, December, 2023

RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing.

Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou

Proc. VLDB Endow., November, 2023

NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams.

Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu

Proc. VLDB Endow., November, 2023

Improving Density Peaks Clustering through GPU acceleration.

Zhuojin Liu, Shufeng Gong, Yuxuan Su, Changyi Wan, Yanfeng Zhang, Ge Yu

Future Gener. Comput. Syst., April, 2023

GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database.

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

Proc. ACM Manag. Data, 2023

Towards Transaction as a Service.

Yanfeng Zhang, Weixing Zhou, Yang Ren, Sihao Li, Guoliang Li, Ge Yu

CoRR, 2023

Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph.

Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management.

Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Accelerating Incremental Graph Processing by Layering Graph.

Shufeng Gong, Song Yu, Yanfeng Zhang, Ge Yu

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering.

Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, Ge Yu

Proc. VLDB Endow., 2022

Versatility or validity: A comprehensive review on simulation of Datacenters powered by Renewable Energy mix.

Jie Song, Peimeng Zhu, Yanfeng Zhang, Ge Yu

Future Gener. Comput. Syst., 2022

LayerLSH: Rebuilding Locality-Sensitive Hashing Indices by Exploring Density of Hash Values.

Jiwen Ding, Zhuojin Liu, Yanfeng Zhang, Shufeng Gong, Ge Yu

IEEE Access, 2022

NeutronStar: Distributed GNN Training with Hybrid Dependency Management.

Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Accelerating Large-Scale Prioritized Graph Computations by Hotness Balanced Partition.

Shufeng Gong, Yanfeng Zhang, Ge Yu

IEEE Trans. Parallel Distributed Syst., 2021

Automating Incremental Graph Processing with Flexible Memoization.

Shufeng Gong, Chao Tian, Qiang Yin, Wenyuan Yu, Yanfeng Zhang, Liang Geng, Song Yu, Ge Yu, Jingren Zhou

Proc. VLDB Endow., 2021

An End-to-End Multiplex Graph Neural Network for Graph Representation Learning.

Yanyan Liang, Yanfeng Zhang, Dechao Gao, Qian Xu

IEEE Access, 2021

A Fair Comparison of Message Queuing Systems.

Guo Fu, Yanfeng Zhang, Ge Yu

IEEE Access, 2021

2020

PowerHash: a hybrid grouping scheme by leveraging power-law properties of data.

Xun Wei, Xiaowang Kong, Yanfeng Zhang, Ge Yu

Int. J. Data Sci. Anal., 2020

MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning.

Yanyan Liang, Yanfeng Zhang, Dechao Gao, Qian Xu

CoRR, 2020

Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing.

Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang, Ge Yu

Proceedings of the 2020 International Conference on Management of Data, 2020

HBP: Hotness Balanced Partition for Prioritized Iterative Graph Computations.

Shufeng Gong, Yanfeng Zhang, Ge Yu

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

GDPC: A GPU-Accelerated Density Peaks Clustering Algorithm.

Yuxuan Su, Yanfeng Zhang, Changyi Wan, Ge Yu

Proceedings of the Database Systems for Advanced Applications, 2020

Distributed Graph Processing: Techniques and Systems.

Yanfeng Zhang, Qiange Wang, Shufeng Gong

Proceedings of the Web and Big Data. APWeb-WAIM 2020 International Workshops, 2020

2019

SEP-graph: finding shortest execution paths for graph processing under a hybrid framework on GPU.

Hao Wang, Liang Geng, Rubao Lee, Kaixi Hou, Yanfeng Zhang, Xiaodong Zhang

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

2018

A Low-cost Disk Solution Enabling LSM-tree to Achieve High Performance for Mixed Read/Write Workloads.

Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Yanfeng Zhang, Siyuan Ma, Xiaodong Zhang

ACM Trans. Storage, 2018

Accelerating distributed Expectation-Maximization algorithms with frequent updates.

Jiangtao Yin, Yanfeng Zhang, Lixin Gao

J. Parallel Distributed Comput., 2018

SQLoop: High Performance Iterative Processing in Data Management.

Sofoklis Floratos, Yanfeng Zhang, Yuan Yuan, Rubao Lee, Xiaodong Zhang

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

Clustering Stream Data by Exploring the Evolution of Density Mountain.

Shufeng Gong, Yanfeng Zhang, Ge Yu

Proc. VLDB Endow., 2017

区块链技术与应用前瞻综述 (Survey on Blockchain Technology and Its Application Prospect).

Pu He, Ge Yu, Yanfeng Zhang, Yubin Bao

计算机科学, 2017

Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce.

Yanfeng Zhang, Shimin Chen, Ge Yu

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

LSbM-tree: Re-Enabling Buffer Caching in Data Management for Mixed Reads and Writes.

Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Siyuan Ma, Yanfeng Zhang, Xiaodong Zhang

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016

i2MapReduce: Incremental mapreduce for mining evolving big data.

Yanfeng Zhang, Shimin Chen, Qiang Wang, Ge Yu

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

i² MapReduce: Incremental MapReduce for Mining Evolving Big Data.

Yanfeng Zhang, Shimin Chen, Qiang Wang, Ge Yu

IEEE Trans. Knowl. Data Eng., 2015

2014

Maiter: An Asynchronous Graph Processing Framework for Delta-Based Accumulative Iterative Computation.

Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang

IEEE Trans. Parallel Distributed Syst., 2014

Mux-Kmeans: multiplex kmeans for clustering large-scale data set.

Chen Li, Yanfeng Zhang, Minghai Jiao, Ge Yu

Proceedings of the ScienceCloud'14, 2014

MaiterStore: A Hot-Aware, High-Performance Key-Value Store for Graph Processing.

Dong Chang, Yanfeng Zhang, Ge Yu

Proceedings of the Database Systems for Advanced Applications, 2014

Asynchronous Computation Model for Large-Scale Iterative Computations.

Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang

Proceedings of the Cloud Computing for Data-Intensive Applications, 2014

iMapReduce: Extending MapReduce for Iterative Processing.

Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang

Proceedings of the Large Scale and Big Data - Processing and Management., 2014

2013

PrIter: A Distributed Framework for Prioritizing Iterative Computations.

Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang

IEEE Trans. Parallel Distributed Syst., 2013

2012

Accelerating Expectation-Maximization Algorithms with Frequent Updates.

Jiangtao Yin, Yanfeng Zhang, Lixin Gao

Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2011

iMapReduce: A Distributed Computing Framework for Iterative Computation.

Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

PrIter: a distributed framework for prioritized iterative computations.

Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang

Proceedings of the ACM Symposium on Cloud Computing in conjunction with SOSP 2011, 2011

2009

MultiNet: Multiple Virtual Networks for a Reliable Live Streaming Service.

Yanfeng Zhang, Lixin Gao, Cuirong Wang

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009