2023
- Towards Transaction as a Service
Yanfeng Zhang, Weixing Zhou, Yang Ren, Sihao Li, Guoliang Li, and Ge Yu
arxiv 2311.07874, 2024.
- RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing (CCF
A)
Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, and Jingren Zhou.
Proceedings of the VLDB Endowment (PVLDB 2024),
Guangzhou, China (and hybrid), 2024.
- NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams (CCF
A)
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 (and hybrid), 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.
2023
- 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, and Ge Yu.
ACM International Conference on Management of Data 2023 (SIGMOD 2023), Seattle, USA, 2023.
- Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph (CCF A) [Code, Slides, Video]
Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, and Jingren Zhou.
IEEE International Conference on Data Engineering 2023 (ICDE 2023), Anaheim, 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.
IEEE International Conference on Data Engineering 2023 (ICDE 2023), Anaheim, USA, 2023.
2022
- NeutronStar: Distributed GNN Training with Hybrid Management (CCF A) [Code, Slides, Video]
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.
- NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering (CCF A) [Code, Slides, Video]
Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, Ge Yu.
Proceedings of the VLDB Endowment (PVLDB 2022), Sydney, Australia, 2022.
- What Have We Learned from OpenReview? (CCF B)
Gang Wang, Qi Peng, Yanfeng Zhang.
World Wide Web (WWWJ), 2022.
- Improving Density Peaks Clustering Through GPU Acceleration (CCF C)
Zhuojin Liu, Shufeng Gong, Yuxuan Su, Changyi Wan, Yanfeng Zhang, Ge Yu.
Future Generation Computer Systems (FGCS), 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, Jun, 2022.
- Elsa:一种面向跨区域架构的无协调分布式键值存储系统 (CCF 中文A)
崔玉龙,付国,张岩峰,于戈.
软件学报, 2022(在线出版).
- 区块链跨链技术发展及应用 (CCF 中文B)
孙浩,毛瀚宇,张岩峰,于戈,徐石成,何光宇.
计算机科学, 49(5):287-295,2022.
- 基于社交网络大数据的民众情感监测研究 (CCF 中文C)
李爱黎,张子帅,林荫,王秋菊,杨建安,孟炜程,张岩峰.
大数据, 8(6):105-126,2022.
2021
- Automating Incremental Graph Processing with Flexible Memoization (CCF A)
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, 2021(在线出版).
- 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.
- DragDL:一种易用的深度学习模型可视化构建系统 [Code]
汤世征,张岩峰
计算机科学, 2021.
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]
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.
- MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning [Code]
Yanyan Liang, Yanfeng Zhang, Dechao Gao, Qian Xu
arXiv preprint arXiv:2004.06846, 2020.
- 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.
- A Fair Comparison of Message Queuing Systems
Guo Fu, Yanfeng Zhang, Ge Yu
IEEE Access, 9, Dec, 2020, pp. 421-432.
- 区块链新技术综述:图型区块链和分区型区块链
张长贵,张岩峰,李晓华,聂铁铮,于戈
计算机科学, 2020.
2019
- 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.
- PowerHash: a Hybrid Grouping Scheme by Leveraging Power-Law Properties of Data [Code]
Xun Wei, Xiaowang Kong, Yanfeng Zhang, and Ge Yu
International Journal of Data Science and Analytics (JDSA), 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.
- 区块链系统中的分布式数据管理技术—挑战与展望 (CCF 中文A)
于戈,聂铁铮,李晓华, 张岩峰,申德荣,鲍玉斌
计算机学报, 2019.
2018
- 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.
- A Low-cost Disk Solution Enabling LSM-tree to Achieve High Performance for Mixed Read/Write Workloads (CCF A)
Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Yanfeng Zhang, Siyuan Ma, and Xiaodong Zhang
ACM Transactions on Storage (TOS), 14(2), Apr, 2018, pp. 15:1-15:26.
- Accelerating distributed Expectation-Maximization algorithms with frequent updates (CCF B)
Jiangtao Yin, Yanfeng Zhang, Lixin Gao
Journal of Parallel and Distributed Computing (JPDC), 111, 2018, pp.65-75.
- SQLoop: High Performance Iterative Processing in Data Management (CCF B)
Sofoklis Floratos, Yanfeng Zhang, Yuan Yuan, Rubao Lee, and Xiaodong Zhang
38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018), Vienna, Austria, 2018.
- 流式处理的异步图处理框架 (CCF 中文A)
李金吉,张岩峰,巩树凤,于戈,高立新
软件学报, 29(3), March, 2018, pp.528-544.
- PowerHash: A Hybrid Grouping Scheme by Leveraging Power-Law Properties of Data  最佳论文提名奖
Xun Wei, Xiaowang Kong, and Yanfeng Zhang
6th CCF BigData Conference (CCF BigData 2018), Xi'An, China, 2017.
2017
- LSbM-tree: Re-Enabling Buffer Caching in Data Management for Mixed Reads and Writes (CCF B)
Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Siyuan Ma, Yanfeng Zhang, Xiaodong Zhang:
37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017), Atlanta, USA, 2017. - bHash: An I/O Efficient External Hash Grouping Scheme  最佳学生论文奖
Xiaowang Kong, Yanfeng Zhang, Ge Yu
第五届CCF大数据学术会议(CCF BigData 2017),深圳,中国, 2017.
- Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce (Extended Abstract) (TKDE Poster)
Yanfeng Zhang, Shimin Chen, Ge Yu
33rd IEEE International Conference on Data Engineering (ICDE 2017), San Diego, USA, 2017.
2016
- Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce (CCF A)
Yanfeng Zhang, Shimin Chen, Ge Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(12), December, 2016, pp. 3218-3230.
- EDDPC:一种高效的分布式密度中心聚类算法 (CCF 中文A)
巩树凤,张岩峰
计算机研究与发展, 53(6), June, 2016, pp.1567-1579.
- i2MapReduce: Incremental MapReduce for Mining Evolving Big Data (Extended Abstract) (TKDE Poster)
Yanfeng Zhang, Shimin Chen, Qiang Wang, Ge Yu
32nd IEEE International Conference on Data Engineering (ICDE 2016), Helsinki, Finland, 2016.
2015
- i2MapReduce: Incremental MapReduce for Mining Evolving Big Data [technical report] (CCF A)
Yanfeng Zhang, Shimin Chen, Qiang Wang, Ge Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(7), July, 2015, pp.1906-1919.
- Asyn-SimRank:一种可异步执行的大规模SimRank算法 (CCF 中文A)
王春磊,张岩峰,鲍玉斌,赵长宽,于戈,高立新
计算机研究与发展, 52(7), July, 2015, pp.1906-1919..
- EDDPC:一种高效的分布式密度中心聚类算法  最佳论文奖
巩树凤,张岩峰
第32届全国数据库学术会议 (NDBC 2015), 成都,中国,2015.
2014
- Maiter: An Asynchronous Graph Processing Framework for Delta-based Accumulative Iterative Computation [Supplemental File] (CCF A)[Code]
Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang
IEEE Transactions on Parallel and Distributed Systems (TPDS), 25(8), August, 2014, pp.2091-2100.
- Asynchronous Computation Model for Large-Scale Iterative
Computations
Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang
In Xiaolin Li, Judy Qiu (Eds.), Cloud Computing for Data-Intensive Applications, Springer Press, 2014, pp.303-329.
- Extending MapReduce for Iterative Processing
Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang
In Sherif Sakr, Mohamed Gaber (Eds.), Large Scale and Big Data: Processing and Management, CRC Press, 2014, pp.107-126.
- Mux-Kmeans: Multiplex Kmeans for Clustering Large-scale Data Set
Chen Li, Yanfeng Zhang, Minghai Jiao, Ge Yu
Proc. 5th Workshop on Scientific Cloud Computing (ScienceCloud 2014), Vancouver, Canada, June 2014.
- MaiterStore: A Hot-aware, High-Performance Key-Value Store for Graph Processing
Dong Chang, Yanfeng Zhang, Ge Yu
Proc. 2nd Workshop on Big Data Management and Analytics (BDMA 2014), Bali, Indonesia, April 2014.
2013
- PrIter: A Distributed Framework for Prioritized Iterative Computations  [Supplemental File] (CCF A)
Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang
IEEE Transactions on Parallel and Distributed Systems (TPDS), 24(9), September, 2013, pp. 1884-1893.
- i2MapReduce: Incremental Iterative MapReduce [slides]
Yanfeng Zhang, Shimin Chen
2nd International Workshop on Cloud Intelligence (Cloud-I 2013), Riva del Garda, Italy, August 2013.
2012
- iMapReduce: A Distributed Computing Framework for Iterative Computation (CCF C)
Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang
Journal of Grid Computing, 10(1), March, 2012, pp.47-68.
- Accelerating Expectation-Maximization Algorithms with Frequent Updates (CCF B)
Jiangtao Yin, Yanfeng Zhang, Lixin Gao
Proc. IEEE CLUSTER 2012, Beijing, China, September 2012.
- Accelerate Large-Scale Iterative Computation through Asynchronous Accumulative Updates [slides]
Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang
Proc. 3rd Workshop on Scientific Cloud Computing (ScienceCloud 2012), Delft, Netherlands, June 2012.
2011
- PrIter: A Distributed Framework for Prioritized Iterative Computations [slides]  Honored as Paper of Distinction (CCF B)
Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang
Proc. ACM Symposium on Cloud Computing (SOCC 2011), Cascais, Portugal, October 2011.
- iMapReduce: A Distributed Computing Framework for Iterative Computation [slides]
Yanfeng Zhang, Qixin Gao, Lixin Gao, Cuirong Wang
Proc. International Workshop on Data Intensive Computing in the Cloud (DataCloud 2011), Alaska, USA, May 2011.
Before 2011
- MultiNet: Multiple Virtual Networks for a Reliable Live Streaming Service (CCF C)
Yanfeng Zhang, Lixin Gao, Cuirong Wang
Proc. IEEE Global Communications Conference (GLOBECOM '09), Hawaii, USA, November 2009.
- Weighted Size-Aware Packet Distribution for Multipath Live Streaming (CCF C)
Yanfeng Zhang, Cuirong Wang, Yuan Gao
Proc. IEEE International Conference on Communications (ICC '09), Dresden, Germany, June 2009.