Publications

2023

1. OSDI

   EinNet: Optimizing Tensor Programs with Derivation-Based Transformations

   Liyan Zheng, Haojie Wang, Jidong Zhai,  Muyan Hu and 7 more authors

   Proceedings of OSDI Conference 2023

   Bib CCF-A

   @article{osdi23einnet,
     title = {EinNet: Optimizing Tensor Programs with Derivation-Based Transformations},
     author = {Zheng, Liyan and Wang, Haojie and Zhai, Jidong and Hu, Muyan and Ma, Zixuan and Wang, Tuowei and Huang, Shuhong and Miao, Xupeng and Tang, Shizhi and Huang, Kezhao and Jia, Zhihao},
     journal = {Proceedings of OSDI Conference},
     year = {2023}
   }

2. VLDB

   SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training

   Xupeng Miao, Yining Shi, Zhi Yang,  Bin Cui and 1 more author

   Proc. VLDB Endow. 2023

   Bib CCF-A

   @article{miao2023sdpipe,
     title = {SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training},
     author = {Miao, Xupeng and Shi, Yining and Yang, Zhi and Cui, Bin and Jia, Zhihao},
     journal = {Proc. {VLDB} Endow.},
     volume = {16},
     year = {2023},
     publisher = {VLDB Endowment},
   }

3. VLDB

   Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent

   Xiaonan Nie, Yi Liu, Fangcheng Fu,  Jinbao Xue and 4 more authors

   Proc. VLDB Endow. (Industry) 2023

   arXiv Bib CCF-A

   @article{DBLP:journals/corr/abs-2303-02868,
     title = {Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent},
     author = {Nie, Xiaonan and Liu, Yi and Fu, Fangcheng and Xue, Jinbao and Jiao, Dian and Miao, Xupeng and Tao, Yangyu and Cui, Bin},
     journal = {Proc. {VLDB} Endow. (Industry)},
     year = {2023},
     doi = {10.48550/arXiv.2303.02868}
   }

4. VLDB

   Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

   Xupeng Miao, Yujie Wang, Youhe Jiang,  Chunan Shi and 3 more authors

   Proc. VLDB Endow. 2023

   Bib PDF CCF-A

   @article{miao2023galvatron,
     title = {Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism},
     author = {Miao, Xupeng and Wang, Yujie and Jiang, Youhe and Shi, Chunan and Nie, Xiaonan and Zhang, Hailin and Cui, Bin},
     journal = {Proc. {VLDB} Endow.},
     volume = {16},
     number = {3},
     pages = {470--479},
     year = {2023},
     doi = {10.14778/3570690.3570697},
     publisher = {VLDB Endowment},
   }

5. SIGMOD

   FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement

   Xiaonan Nie,  Xupeng Miao, Zilong Wang,  Jilong Xue and 4 more authors

   Proceedings of SIGMOD Conference 2023

   Bib CCF-A

   @article{nie2023flexmoe,
     title = {FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement},
     author = {Nie, Xiaonan and Miao, Xupeng and Wang, Zilong and Xue, Jilong and Ma, Lingxiao and Yang, Zichao and Cao, Gang and Cui, Bin},
     journal = {Proceedings of SIGMOD Conference},
     year = {2023},
     publisher = {{ACM}}
   }

6. IJCAI

   OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning

   Youhe Jiang, Fangcheng Fu,  Xupeng Miao,  Xiaonan Nie and 1 more author

   2023

   arXiv Bib CCF-A

   @article{jiang2023osdp,
     author = {Jiang, Youhe and Fu, Fangcheng and Miao, Xupeng and Nie, Xiaonan and Cui, Bin},
     title = {OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning},
     booktitle = {Proceedings of IJCAI Conference},
     year = {2023},
   }

7. AAAI

   CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention

   Ziyu Guo, Renrui Zhang, Longtian Qiu,  Xianzheng Ma and 3 more authors

   Proceedings of AAAI Conference 2023

   arXiv Bib CCF-A

   @article{guo2023calip,
     title = {CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention},
     author = {Guo, Ziyu and Zhang, Renrui and Qiu, Longtian and Ma, Xianzheng and Miao, Xupeng and He, Xuming and Cui, Bin},
     journal = {Proceedings of AAAI Conference},
     year = {2023},
     publisher = {{AAAI}}
   }

2022

1. SCIS

   Hetu: A highly efficient automatic parallel distributed deep learning system

   Xupeng Miao, Xiaonan Nie, Hailin Zhang,  Tong Zhao and 1 more author

   Sci. China Inf. Sci. 2022

   Bib PDF CCF-T1

   @article{DBLP:journals/chinaf/MiaoXP22,
     author = {Miao, Xupeng and Nie, Xiaonan and Zhang, Hailin and Zhao, Tong and Cui, Bin},
     title = {Hetu:  A highly efficient automatic parallel distributed deep learning system},
     journal = {Sci. China Inf. Sci.},
     url = {http://engine.scichina.com/doi/10.1007/s11432-022-3581-9},
     doi = {10.1007/s11432-022-3581-9},
     year = {2022},
   }

2. VLDB

   HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework (Best Scalable Data Science Paper)

   Xupeng Miao, Hailin Zhang, Yining Shi,  Xiaonan Nie and 3 more authors

   Proc. VLDB Endow. 2022

   Bib PDF CCF-A

   @article{miao2021het,
     title = {{HET:} Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework},
     author = {Miao, Xupeng and Zhang, Hailin and Shi, Yining and Nie, Xiaonan and Yang, Zhi and Tao, Yangyu and Cui, Bin},
     journal = {Proc. {VLDB} Endow.},
     volume = {15},
     number = {2},
     pages = {312--320},
     year = {2022},
     publisher = {VLDB Endowment},
     notes = {(Best Scalable Data Science Paper)},
   }

3. VLDB

   Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates

   Fangcheng Fu,  Xupeng Miao, Jiawei Jiang,  Huanran Xue and 1 more author

   Proc. VLDB Endow. 2022

   arXiv Bib CCF-A

   @article{DBLP:journals/corr/abs-2207-14628,
     author = {Fu, Fangcheng and Miao, Xupeng and Jiang, Jiawei and Xue, Huanran and Cui, Bin},
     title = {Towards Communication-efficient Vertical Federated Learning Training
                    via Cache-enabled Local Updates},
     journal = {Proc. {VLDB} Endow.},
     year = {2022},
     doi = {10.48550/arXiv.2207.14628},
   }

4. SIGMOD

   HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training

   Xupeng Miao, Yining Shi, Hailin Zhang,  Xin Zhang and 3 more authors

   In Proceedings of SIGMOD Conference 2022

   Bib PDF CCF-A

   @inproceedings{miao2022hetgmp,
     author = {Miao, Xupeng and Shi, Yining and Zhang, Hailin and Zhang, Xin and Nie, Xiaonan and Yang, Zhi and Cui, Bin},
     title = {{HET-GMP:} {A} Graph-based System Approach to Scaling Large Embedding Model Training},
     booktitle = {Proceedings of SIGMOD Conference},
     pages = {470--480},
     publisher = {{ACM}},
     year = {2022},
     doi = {10.1145/3514221.3517902},
   }

5. VLDBJ

   P2CG: A Privacy Preserving Collaborative Graph Neural Network Training Framework

   Xupeng Miao, Wentao Zhang, Yuezihan Jiang,  Fangcheng Fu and 5 more authors

   The VLDB Journal 2022

   Bib CCF-A

   @article{miao2022p2cg,
     title = {P2CG: A Privacy Preserving Collaborative Graph Neural Network Training Framework},
     author = {Miao, Xupeng and Zhang, Wentao and Jiang, Yuezihan and Fu, Fangcheng and Shao, Yingxia and Chen, Lei and Tao, Yangyu and Cao, Gang and Cui, Bin},
     journal = {The VLDB Journal},
     year = {2022}
   }

6. ICDE

   TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting

   Xiaonan Nie,  Xupeng Miao, Zhi Yang,  and Bin Cui

   In Proceedings of ICDE Conference 2022

   Bib PDF CCF-A

   @inproceedings{DBLP:conf/icde/NieMYC22,
     author = {Nie, Xiaonan and Miao, Xupeng and Yang, Zhi and Cui, Bin},
     title = {{TSPLIT:} Fine-grained {GPU} Memory Management for Efficient {DNN} Training via Tensor Splitting},
     booktitle = {Proceedings of ICDE Conference},
     pages = {2615--2628},
     publisher = {{IEEE}},
     year = {2022},
     doi = {10.1109/ICDE53745.2022.00241},
   }

7. ICDE

   HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache

   Sicong Dong¹,  Xupeng Miao¹, Pengkai Liu,  Xin Wang and 2 more authors

   In Proceedings of ICDE Conference 2022

   Bib PDF CCF-A

   @inproceedings{DBLP:conf/icde/DongMLWCL22,
     author = {Dong, Sicong and Miao, Xupeng and Liu, Pengkai and Wang, Xin and Cui, Bin and Li, Jianxin},
     title = {{HET-KG:} Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache},
     booktitle = {Proceedings of ICDE Conference},
     pages = {1754--1766},
     publisher = {{IEEE}},
     year = {2022},
     doi = {10.1109/ICDE53745.2022.00177},
     cofirst = {true},
   }

8. ICDE

   Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest

   Yuezihan Jiang, Yu Cheng, Hanyu Zhao,  Wentao Zhang and 5 more authors

   In Proceedings of ICDE Conference 2022

   Bib HTML CCF-A

   @inproceedings{DBLP:conf/icde/JiangCZZMHWYC22,
     author = {Jiang, Yuezihan and Cheng, Yu and Zhao, Hanyu and Zhang, Wentao and Miao, Xupeng and He, Yu and Wang, Liang and Yang, Zhi and Cui, Bin},
     title = {Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest},
     booktitle = {Proceedings of ICDE Conference},
     pages = {2224--2236},
     publisher = {{IEEE}},
     year = {2022},
     doi = {10.1109/ICDE53745.2022.00212}
   }

9. CIKM

   Scalable Graph Sampling on GPUs with Compressed Graph

   Hongbo Yin, Yingxia Shao,  Xupeng Miao,  Yawen Li and 1 more author

   In Proceedings of CIKM Conference 2022

   Bib HTML CCF-B

   @inproceedings{DBLP:conf/cikm/YinSMLC22,
     author = {Yin, Hongbo and Shao, Yingxia and Miao, Xupeng and Li, Yawen and Cui, Bin},
     title = {Scalable Graph Sampling on GPUs with Compressed Graph},
     booktitle = {Proceedings of CIKM Conference},
     pages = {2383–2392},
     year = {2022},
     doi = {10.1145/3511808.3557443}
   }

10. ICDE Poster

    Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract)

    Xupeng Miao, Wentao Zhang, Yingxia Shao,  Bin Cui and 3 more authors

    In Proceedings of ICDE Conference 2022

    Bib PDF

    @inproceedings{DBLP:conf/icde/MiaoZSCCZJ22,
      author = {Miao, Xupeng and Zhang, Wentao and Shao, Yingxia and Cui, Bin and Chen, Lei and Zhang, Ce and Jiang, Jiawei},
      title = {Lasagne: {A} Multi-Layer Graph Convolutional Network Framework via
                     Node-aware Deep Architecture (Extended Abstract)},
      booktitle = {Proceedings of ICDE Conference},
      pages = {1561--1562},
      publisher = {{IEEE}},
      year = {2022},
      doi = {10.1109/ICDE53745.2022.00157},
    }

11. 软件学报

    Graph Neural Network Training Acceleration over Multi-GPUs

    Xupeng Miao, Yujie Wang, Jia Shen,  Yingxia Shao and 1 more author

    In Journal of Software (Chinese) 2022

    Bib PDF CCF-T1

    @inproceedings{jos2022gnn,
      author = {Miao, Xupeng and Wang, Yujie and Shen, Jia and Shao, Yingxia and Cui, Bin},
      title = {Graph Neural Network Training Acceleration over Multi-GPUs},
      booktitle = {Journal of Software (Chinese)},
      year = {2022},
      doi = {10.13328/j.cnki.jos.006647},
    }

12. arXiv

    HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed Training System

    Xiaonan Nie, Pinxue Zhao,  Xupeng Miao,  Tong Zhao and 1 more author

    arXiv preprint arXiv:2203.14685 2022

    arXiv Bib

    @article{DBLP:journals/corr/abs-2203-14685,
      author = {Nie, Xiaonan and Zhao, Pinxue and Miao, Xupeng and Zhao, Tong and Cui, Bin},
      title = {HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed
                     Training System},
      journal = {arXiv preprint arXiv:2203.14685},
      year = {2022},
      doi = {10.48550/arXiv.2203.14685}
    }

13. arXiv

    Distributed Graph Neural Network Training: A Survey

    Yingxia Shao, Hongzheng Li, Xizhi Gu,  Hongbo Yin and 5 more authors

    arXiv preprint arXiv:2211.00216 2022

    arXiv Bib

    @article{shao2022distributed,
      title = {Distributed Graph Neural Network Training: A Survey},
      author = {Shao, Yingxia and Li, Hongzheng and Gu, Xizhi and Yin, Hongbo and Li, Yawen and Miao, Xupeng and Zhang, Wentao and Cui, Bin and Chen, Lei},
      journal = {arXiv preprint arXiv:2211.00216},
      year = {2022},
      doi = {10.48550/arXiv.2211.00216}
    }

14. CVPR

    PointCLIP: Point Cloud Understanding by CLIP

    Renrui Zhang, Ziyu Guo, Wei Zhang,  Kunchang Li and 5 more authors

    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022

    Bib HTML CCF-A

    @inproceedings{zhang2022pointclip,
      author = {Zhang, Renrui and Guo, Ziyu and Zhang, Wei and Li, Kunchang and Miao, Xupeng and Cui, Bin and Qiao, Yu and Gao, Peng and Li, Hongsheng},
      title = {PointCLIP: Point Cloud Understanding by {CLIP}},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
      pages = {8552--8562},
      year = {2022},
    }

15. ICML Workshop

    OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning

    Youhe Jiang,  Xupeng Miao, Xiaonan Nie,  and Bin Cui

    In Proceedings of ICML Hardware Aware Efficient Training (HAET) Workshop 2022

    Bib HTML

    @inproceedings{osdp2022,
      author = {Jiang, Youhe and Miao, Xupeng and Nie, Xiaonan and Cui, Bin},
      title = {OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning},
      booktitle = {Proceedings of ICML Hardware Aware Efficient Training (HAET) Workshop},
      year = {2022},
    }

2021

1. SIGMOD

   Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce

   Xupeng Miao, Xiaonan Nie, Yingxia Shao,  Zhi Yang and 3 more authors

   In Proceedings of SIGMOD Conference 2021

   Bib PDF CCF-A

   @inproceedings{DBLP:conf/sigmod/MiaoNSYJM021,
     author = {Miao, Xupeng and Nie, Xiaonan and Shao, Yingxia and Yang, Zhi and Jiang, Jiawei and Ma, Lingxiao and Cui, Bin},
     title = {Heterogeneity-Aware Distributed Machine Learning Training via Partial
                    Reduce},
     booktitle = {Proceedings of SIGMOD Conference},
     pages = {2262--2270},
     publisher = {{ACM}},
     year = {2021},
     doi = {10.1145/3448016.3452773},
   }

2. ICDE Poster

   CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract)

   Xupeng Miao, Lingxiao Ma, Zhi Yang,  Yingxia Shao and 3 more authors

   In Proceedings of ICDE Conference 2021

   Bib PDF

   @inproceedings{DBLP:conf/icde/MiaoMYS0YJ21,
     author = {Miao, Xupeng and Ma, Lingxiao and Yang, Zhi and Shao, Yingxia and Cui, Bin and Yu, Lele and Jiang, Jiawei},
     title = {CuWide: Towards Efficient Flow-based Training for Sparse Wide Models
                    on GPUs (Extended Abstract)},
     booktitle = {Proceedings of ICDE Conference},
     pages = {2330--2331},
     publisher = {{IEEE}},
     year = {2021},
     doi = {10.1109/ICDE51399.2021.00251},
   }

3. TKDE

   Lasagne: A multi-layer graph convolutional network framework via node-aware deep architecture

   Xupeng Miao, Wentao Zhang, Yingxia Shao,  Bin Cui and 3 more authors

   IEEE Transactions on Knowledge and Data Engineering 2021

   Bib PDF CCF-A

   @article{miao2021lasagne,
     title = {Lasagne: A multi-layer graph convolutional network framework via node-aware deep architecture},
     author = {Miao, Xupeng and Zhang, Wentao and Shao, Yingxia and Cui, Bin and Chen, Lei and Zhang, Ce and Jiang, Jiawei},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     year = {2021},
     publisher = {IEEE},
     doi = {10.1109/TKDE.2021.3103984},
   }

4. SIGKDD

   DeGNN: Improving Graph Neural Networks with Graph Decomposition

   Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang,  Zhichao Han and 16 more authors

   In Proceedings of SIGKDD Conference 2021

   Bib PDF CCF-A

   @inproceedings{DBLP:conf/kdd/MiaoGZHLMRRSSWW21,
     author = {Miao, Xupeng and G{\"{u}}rel, Nezihe Merve and Zhang, Wentao and Han, Zhichao and Li, Bo and Min, Wei and Rao, Susie Xi and Ren, Hansheng and Shan, Yinan and Shao, Yingxia and Wang, Yujie and Wu, Fan and Xue, Hui and Yang, Yaming and Zhang, Zitao and Zhao, Yang and Zhang, Shuai and Wang, Yujing and Cui, Bin and Zhang, Ce},
     title = {DeGNN: Improving Graph Neural Networks with Graph Decomposition},
     booktitle = {Proceedings of SIGKDD Conference},
     pages = {1223--1233},
     publisher = {{ACM}},
     year = {2021},
     doi = {10.1145/3447548.3467312},
   }

5. SIGKDD

   ROD: Reception-aware Online Distillation for Sparse Graphs

   Wentao Zhang, Yuezihan Jiang, Yang Li,  Zeang Sheng and 5 more authors

   In Proceedings of SIGKDD Conference 2021

   Bib HTML CCF-A

   @inproceedings{DBLP:conf/kdd/ZhangJLSSMWY021,
     author = {Zhang, Wentao and Jiang, Yuezihan and Li, Yang and Sheng, Zeang and Shen, Yu and Miao, Xupeng and Wang, Liang and Yang, Zhi and Cui, Bin},
     title = {{ROD:} Reception-aware Online Distillation for Sparse Graphs},
     booktitle = {Proceedings of SIGKDD Conference},
     pages = {2232--2242},
     publisher = {{ACM}},
     year = {2021},
     doi = {10.1145/3447548.3467221}
   }

6. VLDBJ

   Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs

   Yingxia Shao, Shiyue Huang, Yawen Li,  Xupeng Miao and 2 more authors

   The VLDB Journal 2021

   Bib HTML CCF-A

   @article{DBLP:journals/vldb/ShaoHLMCC21,
     author = {Shao, Yingxia and Huang, Shiyue and Li, Yawen and Miao, Xupeng and Cui, Bin and Chen, Lei},
     title = {Memory-aware framework for fast and scalable second-order random walk
                    over billion-edge natural graphs},
     journal = {The VLDB Journal},
     volume = {30},
     number = {5},
     pages = {769--797},
     year = {2021},
     doi = {10.1007/s00778-021-00669-2}
   }

7. arXiv

   EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate

   Xiaonan Nie,  Xupeng Miao, Shijie Cao,  Lingxiao Ma and 6 more authors

   arXiv preprint arXiv:2112.14397 2021

   arXiv Bib

   @article{DBLP:journals/corr/abs-2112-14397,
     author = {Nie, Xiaonan and Miao, Xupeng and Cao, Shijie and Ma, Lingxiao and Liu, Qibin and Xue, Jilong and Miao, Youshan and Liu, Yi and Yang, Zhi and Cui, Bin},
     title = {EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate},
     journal = {arXiv preprint arXiv:2112.14397},
     year = {2021},
   }

2020

1. TKDE

   Cuwide: Towards efficient flow-based training for sparse wide models on gpus

   Xupeng Miao, Lingxiao Ma, Zhi Yang,  Yingxia Shao and 3 more authors

   IEEE Transactions on Knowledge and Data Engineering 2020

   Bib PDF CCF-A

   @article{miao2020cuwide,
     title = {Cuwide: Towards efficient flow-based training for sparse wide models on gpus},
     author = {Miao, Xupeng and Ma, Lingxiao and Yang, Zhi and Shao, Yingxia and Cui, Bin and Yu, Lele and Jiang, Jiawei},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     year = {2020},
     publisher = {IEEE},
   }

2. SIGMOD

   Reliable Data Distillation on Graph Convolutional Network

   Wentao Zhang¹,  Xupeng Miao¹, Yingxia Shao,  Jiawei Jiang and 3 more authors

   In Proceedings of SIGMOD 2020

   Bib PDF CCF-A

   @inproceedings{DBLP:conf/sigmod/ZhangMSJCR020,
     author = {Zhang, Wentao and Miao, Xupeng and Shao, Yingxia and Jiang, Jiawei and Chen, Lei and Ruas, Olivier and Cui, Bin},
     title = {Reliable Data Distillation on Graph Convolutional Network},
     booktitle = {Proceedings of SIGMOD},
     pages = {1399--1414},
     publisher = {{ACM}},
     year = {2020},
     doi = {10.1145/3318464.3389706},
     cofirst = {true}
   }

3. SIGMOD

   Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs

   Yingxia Shao, Shiyue Huang,  Xupeng Miao,  Bin Cui and 1 more author

   In Proceedings of SIGMOD 2020

   Bib HTML CCF-A

   @inproceedings{DBLP:conf/sigmod/ShaoHM0020,
     author = {Shao, Yingxia and Huang, Shiyue and Miao, Xupeng and Cui, Bin and Chen, Lei},
     title = {Memory-Aware Framework for Efficient Second-Order Random Walk on Large
                    Graphs},
     booktitle = {Proceedings of SIGMOD},
     pages = {1797--1812},
     publisher = {{ACM}},
     year = {2020},
     doi = {10.1145/3318464.3380562}
   }

4. ICDE

   PSGraph: How Tencent trains extremely large-scale graphs with Spark?

   Jiawei Jiang, Pin Xiao, Lele Yu,  Xiaosen Li and 4 more authors

   In Proceedings of ICDE Conference 2020

   Bib HTML CCF-A

   @inproceedings{DBLP:conf/icde/JiangXYLCMZ020,
     author = {Jiang, Jiawei and Xiao, Pin and Yu, Lele and Li, Xiaosen and Cheng, Jiefeng and Miao, Xupeng and Zhang, Zhipeng and Cui, Bin},
     title = {PSGraph: How Tencent trains extremely large-scale graphs with Spark?},
     booktitle = {Proceedings of ICDE Conference},
     pages = {1549--1557},
     publisher = {{IEEE}},
     year = {2020},
     doi = {10.1109/ICDE48307.2020.00137}
   }

2019

1. SIGMOD

   PS2: Parameter Server on Spark

   Zhipeng Zhang, Bin Cui, Yingxia Shao,  Lele Yu and 2 more authors

   In Proceedings of SIGMOD 2019

   Bib HTML CCF-A

   @inproceedings{DBLP:conf/sigmod/Zhang0SYJM19,
     author = {Zhang, Zhipeng and Cui, Bin and Shao, Yingxia and Yu, Lele and Jiang, Jiawei and Miao, Xupeng},
     title = {{PS2:} Parameter Server on Spark},
     booktitle = {Proceedings of SIGMOD},
     pages = {376--388},
     publisher = {{ACM}},
     year = {2019},
     doi = {10.1145/3299869.3314038}
   }