Следене
Yingxia Shao
Yingxia Shao
SCS, BUPT
Потвърден имейл адрес: bupt.edu.cn - Начална страница
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Позовавания
Позовавания
Година
Self-supervised graph co-training for session-based recommendation
X Xia, H Yin, J Yu, Y Shao, L Cui
Proceedings of the 30th ACM international conference on information …, 2021
1892021
NSCaching: simple and efficient negative sampling for knowledge graph embedding
Y Zhang, Q Yao, Y Shao, L Chen
2019 IEEE 35th International Conference on Data Engineering (ICDE), 614-625, 2019
1542019
Parallel subgraph listing in a large-scale graph
Y Shao, B Cui, L Chen, L Ma, J Yao, N Xu
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
1442014
RetroMAE: Pre-training retrieval-oriented language models via masked auto-encoder
S Xiao, Z Liu, Y Shao, Z Cao
arXiv preprint arXiv:2205.12035, 2022
1392022
Joint modeling of user check-in behaviors for point-of-interest recommendation
H Yin, X Zhou, Y Shao, H Wang, S Sadiq
Proceedings of the 24th ACM International on Conference on Information and …, 2015
1372015
Heterogeneous hypergraph embedding for graph classification
X Sun, H Yin, B Liu, H Chen, J Cao, Y Shao, NQ Viet Hung
Proceedings of the 14th ACM international conference on web search and data …, 2021
1202021
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning
F Fu, Y Shao, L Yu, J Jiang, H Xue, Y Tao, B Cui
Proceedings of the 2021 International Conference on Management of Data, 563-576, 2021
1002021
Tornado: A system for real-time iterative analysis over evolving data
X Shi, B Cui, Y Shao, Y Tong
Proceedings of the 2016 International Conference on Management of Data, 417-430, 2016
942016
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
862020
Snapshot boosting: a fast ensemble framework for deep neural networks
W Zhang, J Jiang, Y Shao, B Cui
Science China Information Sciences 63 (1), 112102, 2020
802020
Don’t waste your bits! squeeze activations and gradients for deep neural networks via tinyscript
F Fu, Y Hu, Y He, J Jiang, Y Shao, C Zhang, B Cui
International Conference on Machine Learning, 3304-3314, 2020
772020
Efficient cohesive subgraphs detection in parallel
Y Shao, L Chen, B Cui
Proceedings of the 2014 ACM SIGMOD International Conference on Management of …, 2014
702014
Sancus: staleness-aware communication-avoiding full-graph decentralized training in large-scale graph neural networks
J Peng, Z Chen, Y Shao, Y Shen, L Chen, J Cao
Proceedings of the VLDB Endowment 15 (9), 1937-1950, 2022
692022
An efficient similarity search framework for SimRank over large dynamic graphs
Y Shao, B Cui, L Chen, M Liu, X Xie
Proceedings of the VLDB Endowment 8 (8), 838-849, 2015
642015
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
572021
Heterogeneous environment aware streaming graph partitioning
N Xu, B Cui, L Chen, Z Huang, Y Shao
IEEE Transactions on Knowledge and Data Engineering 27 (6), 1560-1572, 2014
512014
Efficient automatic CASH via rising bandits
Y Li, J Jiang, J Gao, Y Shao, C Zhang, B Cui
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4763-4771, 2020
482020
Fast de-anonymization of social networks with structural information
Y Shao, J Liu, S Shi, Y Zhang, B Cui
Data Science and Engineering 4 (1), 76-92, 2019
452019
LDA* a robust and large-scale topic modeling system
L Yut, C Zhang, Y Shao, B Cui
Proceedings of the VLDB Endowment 10 (11), 1406-1417, 2017
432017
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 56 (8), 1-39, 2024
422024
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