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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://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-6291-0390")
— Dongguan University of Technology, School of Electrical Engineering and Intelligentization, China (and 2 more) - Yanfeng Zhang 0003 — Chinese Academy of Sciences (CAS), State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Beijing, China (and 1 more)
- Yanfeng Zhang 0004 — Huawei Technologies, Huawei Riemann Lab, China (and 1 more)
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2020 – today
- 2026
[j53]Wei Song, Buyu Liu, Chong Fu, Wei Yang, Junxin Chen, Yanfeng Zhang:
Protection of batch color images using a novel parallel cross-plane encryption scheme. Clust. Comput. 29(3): 131 (2026)- [j52]Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu:
GoGraph: Accelerating Graph Processing Through Incremental Reordering. IEEE Trans. Knowl. Data Eng. 38(1): 366-379 (2026) - [j51]Feng Yao, Xiaokang Yang, Shufeng Gong, Qian Tao, Yanfeng Zhang, Wenyuan Yu, Ge Yu:
GETL: An Extract-Transform-Load Framework Across Graph Models in Graph Warehouse. IEEE Trans. Knowl. Data Eng. 38(3): 1783-1797 (2026) - [c33]Gang Wang, Yiping Teng, Zhen Song, Leyang Li, Qinnan Zhang, Qingbo Zhang, Yanfeng Zhang, Ge Yu:
Ponzitracker: A General Detection Framework for Ponzi Scheme in Blockchains. DASFAA (6) 2026: 373-389 - [e4]Jiajia Li, Richard Chbeir, Lei Li, Chuanyu Zong, Yanfeng Zhang, Mengxuan Zhang:
Web and Big Data - 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28-30, 2025, Proceedings, Part I. Lecture Notes in Computer Science 16113, Springer 2026, ISBN 978-981-95-5639-7 [contents] - [e3]Jiajia Li, Richard Chbeir, Lei Li, Chuanyu Zong, Yanfeng Zhang, Mengxuan Zhang:
Web and Big Data - 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28-30, 2025, Proceedings, Part II. Lecture Notes in Computer Science 16114, Springer 2026, ISBN 978-981-95-5715-8 [contents] - [e2]Jiajia Li, Richard Chbeir, Lei Li, Chuanyu Zong, Yanfeng Zhang, Mengxuan Zhang:
Web and Big Data - 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28-30, 2025, Proceedings, Part III. Lecture Notes in Computer Science 16115, Springer 2026, ISBN 978-981-95-5718-9 [contents] - [e1]Jiajia Li, Richard Chbeir, Lei Li, Chuanyu Zong, Yanfeng Zhang, Mengxuan Zhang:
Web and Big Data - 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28-30, 2025, Proceedings, Part IV. Lecture Notes in Computer Science 16116, Springer 2026, ISBN 978-981-95-5721-9 [contents] - [i30]Qiange Wang, Chaoyi Chen, Jingqi Gao, Zihan Wang, Yanfeng Zhang, Ge Yu:
Towards Autonomous Graph Data Analytics with Analytics-Augmented Generation. CoRR abs/2602.21604 (2026) - [i29]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. CoRR abs/2603.13897 (2026) - [i28]Weixing Zhou, Zhiyou Wang, Zeshun Peng, Hetian Chen, Yanfeng Zhang, Ge Yu:
ATCC: Adaptive Concurrency Control for Unforeseen Agentic Transactions. CoRR abs/2603.13906 (2026) - [i27]Qiange Wang, Haoran Lv, Yanfeng Zhang, Weng-Fai Wong, Bingsheng He:
Incremental GNN Embedding Computation on Streaming Graphs. CoRR abs/2603.20622 (2026) - [i26]Zhenbo Fu, Yuanzhe Zhang, Qiange Wang, Hao Yuan, Yuehao Xu, Enze Yi, Yanfeng Zhang, Ge Yu:
EvoRAG: Making Knowledge Graph-based RAG Automatically Evolve through Feedback-driven Backpropagation. CoRR abs/2604.15676 (2026) - [i25]Yunhe Han, Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi, Yitong Duan, Pei Xiao, Yanfeng Zhang:
PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding. CoRR abs/2605.13319 (2026) - [i24]Kefu Chen, Xin Ai, Qiange Wang, Yanfeng Zhang, Ge Yu:
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments. CoRR abs/2606.01161 (2026) - [i23]Xin Ai, Zeyu Ling, Hao Yuan, Qiange Wang, Yanfeng Zhang, Yutao Peng, Ge Yu:
NeutronSparse: Coordinating Heterogeneous Engines for Sparse Matrix Multiplication on NPUs. CoRR abs/2606.22482 (2026) - 2025
- [j50]Xinyu Ning, Haijun Li, Qibo Wang, Fei Yang, Yanfeng Zhang, Guodong Wang:
Two-stream neural network for the prediction of multiple defects in continuous casting. Appl. Soft Comput. 175: 113116 (2025) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]Hao Yuan, Xin Ai, Qiange Wang, Peizheng Li, Jiayang Yu, Chaoyi Chen, Xinbo Yang, Yanfeng Zhang, Zhenbo Fu, Yingyou Wen, Ge Yu:
DepCache: A KV Cache Management Framework for GraphRAG with Dependency Attention. Proc. ACM Manag. Data 3(6): 1-29 (2025) - [j44]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) - [j43]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) - [j42]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) - [j41]Mingyi Cao, Chunyu Cao, Yanfeng Zhang, Zhenbo Fu, Xin Ai, Qiange Wang, Yu Gu, Ge Yu:
NeutronCloud: Resource-Aware Distributed GNN Training in Fluctuating Cloud Environments. Proc. VLDB Endow. 19(1): 56-69 (2025) - [j40]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. Proc. VLDB Endow. 19(3): 495-508 (2025) - [j39]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) - [j38]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) - [c32]Jiaming Tian, Zhenbo Fu, Hao Yuan, Qiange Wang, Chaoyi Chen, Minghe Yu, Yanfeng Zhang, Ge Yu:
Dual RAG: An Effective Graph-Based RAG Framework with Adaptively Integrating Knowledge Graphs and Chunks. IEEE Big Data 2025: 7435-7443 - [c31]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 - [c30]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 - [i22]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) - [i21]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) - [i20]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) - [i19]Yunqi Gao, Bing Hu, Mahdi Boloursaz Mashhadi, A-Long Jin, Yanfeng Zhang, Pei Xiao, Rahim Tafazolli, Mérouane Debbah:
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training. CoRR abs/2510.00207 (2025) - [i18]Jiahao Lou, Quan Yu, Shufeng Gong, Song Yu, Yanfeng Zhang, Ge Yu:
DGAI: Decoupled On-Disk Graph-Based ANN Index for Efficient Updates and Queries. CoRR abs/2510.25401 (2025) - [i17]Duling Xu, Tong Li, Zegang Sun, Zheng Chen, Weixing Zhou, Yanfeng Zhang, Wei Lu, Xiaoyong Du:
Performant Synchronization in Geo-Distributed Databases. CoRR abs/2511.22444 (2025) - 2024
- [j37]Wei Song, Chong Fu, Yu Zheng, Yanfeng Zhang, Junxin Chen, Peipei Wang:
Batch image encryption using cross image permutation and diffusion. J. Inf. Secur. Appl. 80: 103686 (2024) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - [j30]Wei Song, Chong Fu, Zhaonan Lin, Yanfeng Zhang, Junxin Chen, Chiu-Wing Sham:
Batch medical image encryption using 3D Latin cube-based simultaneous permutation and diffusion. Signal Image Video Process. 18(3): 2499-2508 (2024) - [j29]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) - [j28]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) - [j27]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) - [c29]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 - [c28]Gang Wang, Yanfeng Zhang, Chenhao Ying, Xiaohua Li, Ge Yu:
Hammer: A General Blockchain Evaluation Framework. ICDCS 2024: 391-402 - [c27]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 - [c26]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 - [c25]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 - [i16]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) - [i15]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) - [i14]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) - [i13]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
- [j26]Haodong Li, Peng Cao, Xingwei Wang, Bo Yi, Min Huang, Qiuye Sun, Yanfeng Zhang:
Multi-task spatio-temporal augmented net for industry equipment remaining useful life prediction. Adv. Eng. Informatics 55: 101898 (2023) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]Gang Wang, Qi Peng, Yanfeng Zhang, Mingyang Zhang:
What have we learned from OpenReview? World Wide Web (WWW) 26(2): 683-708 (2023) - [c24]Shufeng Gong, Song Yu, Yanfeng Zhang, Ge Yu:
Accelerating Incremental Graph Processing by Layering Graph. ACM TUR-C 2023: 160-161 - [c23]Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu:
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. ICDE 2023: 558-571 - [c22]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 - [i12]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) - [i11]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) - [i10]Yanfeng Zhang, Weixing Zhou, Yang Ren, Sihao Li, Guoliang Li, Ge Yu:
Towards Transaction as a Service. CoRR abs/2311.07874 (2023) - [i9]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) - [i8]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) - [i7]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
- [j19]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) - [j18]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) - [j17]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) - [c21]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 - [i6]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
- [j16]Guo Fu, Yanfeng Zhang, Ge Yu:
A Fair Comparison of Message Queuing Systems. IEEE Access 9: 421-432 (2021) - [j15]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) - [j14]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) - [j13]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) - [c20]Gang Wang, Qi Peng, Yanfeng Zhang, Mingyang Zhang:
What Have We Learned from OpenReview? APWeb/WAIM (1) 2021: 63-79 - [i5]Gang Wang, Qi Peng, Yanfeng Zhang, Mingyang Zhang:
What Have We Learned from OpenReview? CoRR abs/2103.05885 (2021) - 2020
- [j12]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) - [c19]Yanfeng Zhang, Qiange Wang, Shufeng Gong:
Distributed Graph Processing: Techniques and Systems. APWeb/WAIM Workshops 2020: 14-23 - [c18]Yuxuan Su, Yanfeng Zhang, Changyi Wan, Ge Yu:
GDPC: A GPU-Accelerated Density Peaks Clustering Algorithm. DASFAA (1) 2020: 305-313 - [c17]Shufeng Gong, Yanfeng Zhang, Ge Yu:
HBP: Hotness Balanced Partition for Prioritized Iterative Graph Computations. ICDE 2020: 1942-1945 - [c16]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 - [i4]Yanyan Liang, Yanfeng Zhang, Dechao Gao, Qian Xu:
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning. CoRR abs/2004.06846 (2020)
2010 – 2019
- 2019
- [c15]Yabing Zhu, Yanfeng Zhang, Huili Yang, Fangjing Wang:
GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach Based on GAN. NLPCC (2) 2019: 529-539 - [c14]Hao Wang, Liang Geng, Rubao Lee, Kaixi Hou, Yanfeng Zhang, Xiaodong Zhang:
SEP-graph: finding shortest execution paths for graph processing under a hybrid framework on GPU. PPoPP 2019: 38-52 - 2018
- [j11]Jiangtao Yin, Yanfeng Zhang, Lixin Gao:
Accelerating distributed Expectation-Maximization algorithms with frequent updates. J. Parallel Distributed Comput. 111: 65-75 (2018) - [j10]Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Yanfeng Zhang, Siyuan Ma, Xiaodong Zhang:
A Low-cost Disk Solution Enabling LSM-tree to Achieve High Performance for Mixed Read/Write Workloads. ACM Trans. Storage 14(2): 15:1-15:26 (2018) - [c13]Sofoklis Floratos, Yanfeng Zhang, Yuan Yuan, Rubao Lee, Xiaodong Zhang:
SQLoop: High Performance Iterative Processing in Data Management. ICDCS 2018: 1039-1051 - 2017
- [j9]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) - [j8]Shufeng Gong, Yanfeng Zhang, Ge Yu:
Clustering Stream Data by Exploring the Evolution of Density Mountain. Proc. VLDB Endow. 11(4): 393-405 (2017) - [c12]Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Siyuan Ma, Yanfeng Zhang, Xiaodong Zhang:
LSbM-tree: Re-Enabling Buffer Caching in Data Management for Mixed Reads and Writes. ICDCS 2017: 68-79 - [c11]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
- [j7]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) - [c10]Yanfeng Zhang, Shimin Chen, Qiang Wang, Ge Yu:
i2MapReduce: Incremental mapreduce for mining evolving big data. ICDE 2016: 1482-1483 - 2015
- [j6]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
- [j5]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) - [c9]Dong Chang, Yanfeng Zhang, Ge Yu:
MaiterStore: A Hot-Aware, High-Performance Key-Value Store for Graph Processing. DASFAA Workshops 2014: 117-131 - [c8]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
- [j4]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) - [c7]Yanfeng Zhang, Shimin Chen:
i2MapReduce: incremental iterative MapReduce. Cloud-I 2013: 3:1-3:4 - 2012
- [j3]Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang:
iMapReduce: A Distributed Computing Framework for Iterative Computation. J. Grid Comput. 10(1): 47-68 (2012) - [c6]Jiangtao Yin, Yanfeng Zhang, Lixin Gao:
Accelerating Expectation-Maximization Algorithms with Frequent Updates. CLUSTER 2012: 275-283 - 2011
- [c5]Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang:
PrIter: a distributed framework for prioritized iterative computations. SoCC 2011: 13 - [c4]Yanfeng Zhang, Qinxin Gao, Lixin Gao, Cuirong Wang:
iMapReduce: A Distributed Computing Framework for Iterative Computation. IPDPS Workshops 2011: 1112-1121 - 2010
- [j2]Yue Ying Ong, Soon Wee Ho, Kripesh Vaidyanathan, Vasarla Nagendra Sekhar, Ming Chinq Jong, Samuel Lim Yak Long, Vincent Lee Wen Sheng, Leong Ching Wai, Vempati Srinivasa Rao, Jimmy Ong, Xuefen Ong, Xiaowu Zhang, Yoon Uk Seung, John H. Lau, Yeow Kheng Lim, David Yeo, Kai Chong Chan, Yanfeng Zhang, Juan Boon Tan, Dong Kyun Sohn:
Design, assembly and reliability of large die and fine-pitch Cu/low-k flip chip package. Microelectron. Reliab. 50(7): 986-994 (2010)
2000 – 2009
- 2009
- [c3]Yanfeng Zhang, Cuirong Wang, Yuan Gao:
Packet-Level Traffic Allocation for Real-Time Streaming over Multipath Networks. Complex (1) 2009: 149-162 - [c2]Yanfeng Zhang, Lixin Gao, Cuirong Wang:
MultiNet: Multiple Virtual Networks for a Reliable Live Streaming Service. GLOBECOM 2009: 1-6 - [c1]Yanfeng Zhang, Cuirong Wang, Yuan Gao:
Weighted Size-Aware Packet Distribution for Multipath Live Streaming. ICC 2009: 1-5 - 2004
- [j1]M. A. Jabbar, Ashwin M. Khambadkone, Yanfeng Zhang:
Space-vector Modulation in a two-phase induction motor drive for constant-power operation. IEEE Trans. Ind. Electron. 51(5): 1081-1088 (2004)
Coauthor Index
[j52] [j51] [c33] [i30] [i29] [i28] [i26] [i24] [i23] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j38] [c32] [c31] [c30] [i22] [i21] [i20] [i18] [j36] [j35] [j34] [j33] [j32] [j31] [j29] [j28] [j27] [c29] [c28] [c27] [c26] [c25] [i16] [i15] [i14] [i13] [j25] [j24] [j23] [j22] [j21] [c24] [c23] [c22] [i12] [i11] [i10] [i9] [i8] [i7] [j19] [j18] [j17] [c21] [i6] [j16] [j14] [j13] [j12] [c18] [c17] [c16] [j9] [j8] [c11] [i3] [j7] [c10] [j6] [i1] [c9] [c8]
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