Follow
Xupeng Miao
Title
Cited by
Cited by
Year
Ps2: Parameter server on spark
Z Zhang, B Cui, Y Shao, L Yu, J Jiang, X Miao
Proceedings of the 2019 International Conference on Management of Data, 376-388, 2019
232019
Reliable data distillation on graph convolutional network
W Zhang, X Miao, Y Shao, J Jiang, L Chen, O Ruas, B Cui
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
202020
Degnn: Improving graph neural networks with graph decomposition
X Miao, NM Gürel, W Zhang, Z Han, B Li, W Min, SX Rao, H Ren, Y Shan, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
15*2021
PSGraph: How Tencent trains extremely large-scale graphs with Spark?
J Jiang, P Xiao, L Yu, X Li, J Cheng, X Miao, Z Zhang, B Cui
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1549-1557, 2020
112020
Memory-aware framework for efficient second-order random walk on large graphs
Y Shao, S Huang, X Miao, B Cui, L Chen
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
92020
ROD: reception-aware online distillation for sparse graphs
W Zhang, Y Jiang, Y Li, Z Sheng, Y Shen, X Miao, L Wang, Z Yang, B Cui
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
82021
Lasagne: A multi-layer graph convolutional network framework via node-aware deep architecture
X Miao, W Zhang, Y Shao, B Cui, L Chen, C Zhang, J Jiang
IEEE Transactions on Knowledge and Data Engineering, 2021
82021
Cuwide: Towards efficient flow-based training for sparse wide models on gpus
X Miao, L Ma, Z Yang, Y Shao, B Cui, L Yu, J Jiang
IEEE Transactions on Knowledge and Data Engineering, 2020
6*2020
Pointclip: Point cloud understanding by clip
R Zhang, Z Guo, W Zhang, K Li, X Miao, B Cui, Y Qiao, P Gao, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
52022
Dense-to-sparse gate for mixture-of-experts
X Nie, S Cao, X Miao, L Ma, J Xue, Y Miao, Z Yang, Z Yang, B Cui
arXiv preprint arXiv:2112.14397, 2021
42021
Het: Scaling out huge embedding model training via cache-enabled distributed framework
X Miao, H Zhang, Y Shi, X Nie, Z Yang, Y Tao, B Cui
arXiv preprint arXiv:2112.07221, 2021
42021
Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce
X Miao, X Nie, Y Shao, Z Yang, J Jiang, L Ma, B Cui
Proceedings of the 2021 International Conference on Management of Data, 2262 …, 2021
42021
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest
Y Jiang, Y Cheng, H Zhao, W Zhang, X Miao, Y He, L Wang, Z Yang, ...
arXiv preprint arXiv:2203.12596, 2022
22022
Road network generation from low frequency GPS trajectory data
X Miao, Q Wang, T Zhang
2016 Chinese Control and Decision Conference (CCDC), 6254-6258, 2016
22016
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs
Y Shao, S Huang, Y Li, X Miao, B Cui, L Chen
The VLDB Journal 30 (5), 769-797, 2021
12021
HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training
X Miao, Y Shi, H Zhang, X Zhang, X Nie, Z Yang, B Cui
Proceedings of the 2022 International Conference on Management of Data, 470-480, 2022
2022
HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed Training System
X Nie, P Zhao, X Miao, B Cui
arXiv preprint arXiv:2203.14685, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–17