Follow
Xupeng Miao
Title
Cited by
Cited by
Year
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
2422022
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
622020
Calip: Zero-shot enhancement of clip with parameter-free attention
Z Guo, R Zhang, L Qiu, X Ma, X Miao, X He, B Cui
Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 746-754, 2023
452023
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
Proceedings of the VLDB Endowment 15.2 (2021): 312-320., 2021
442021
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
38*2021
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
372021
Specinfer: Accelerating generative llm serving with speculative inference and token tree verification
X Miao, G Oliaro, Z Zhang, X Cheng, Z Wang, RYY Wong, Z Chen, ...
arXiv preprint arXiv:2305.09781, 2023
352023
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 35 (2), 1721-1733, 2021
302021
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
292019
Galvatron: Efficient transformer training over multiple gpus using automatic parallelism
X Miao, Y Wang, Y Jiang, C Shi, X Nie, H Zhang, B Cui
arXiv preprint arXiv:2211.13878, 2022
272022
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
232021
Dense-to-sparse gate for mixture-of-experts
X Nie, S Cao, X Miao, L Ma, J Xue, Y Miao, Z Yang, Z Yang, CUI Bin
212021
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
202021
Towards communication-efficient vertical federated learning training via cache-enabled local updates
F Fu, X Miao, J Jiang, H Xue, B Cui
arXiv preprint arXiv:2207.14628, 2022
192022
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
182020
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
172020
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
162022
Distributed graph neural network training: A survey
Y Shao, H Li, X Gu, H Yin, Y Li, X Miao, W Zhang, B Cui, L Chen
ACM Computing Surveys, 2022
152022
HetuMoE: An efficient trillion-scale mixture-of-expert distributed training system
X Nie, P Zhao, X Miao, T Zhao, B Cui
arXiv preprint arXiv:2203.14685, 2022
142022
Evomoe: An evolutional mixture-of-experts training framework via dense-to-sparse gate
X Nie, X Miao, S Cao, L Ma, Q Liu, J Xue, Y Miao, Y Liu, Z Yang, B Cui
arXiv preprint arXiv:2112.14397, 2021
142021
The system can't perform the operation now. Try again later.
Articles 1–20