Yingxia Shao

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Bin CUIProfessor of Computer Science, Peking UniversityDirección de correo verificada de pku.edu.cn
Lei ChenHong Kong University of Science and TechnologyDirección de correo verificada de cse.ust.hk
Jiawei JiangWuhan UniversityDirección de correo verificada de whu.edu.cn
Shitao XiaoBUPTDirección de correo verificada de bupt.edu.cn
Xupeng MiaoPurdue UniversityDirección de correo verificada de purdue.edu
Zheng LIUBeijijng Academy of Artificial IntelligenceDirección de correo verificada de baai.ac.cn
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandDirección de correo verificada de uq.edu.au
Wentao Zhang (张文涛)Assistant Professor, Peking UniversityDirección de correo verificada de pku.edu.cn
Ce ZhangTogether AI; University of ChicagoDirección de correo verificada de together.xyz
Xing Xie 谢幸Partner Research Manager, Microsoft, ACM Fellow, IEEE Fellow, CCF FellowDirección de correo verificada de microsoft.com
lele yuPeking UniversityDirección de correo verificada de pku.edu.cn
Yanyan ShenShanghai Jiao Tong UniversityDirección de correo verificada de sjtu.edu.cn
Fangcheng FuPeking UniversityDirección de correo verificada de pku.edu.cn
Defu Lian (连德富)Professor, University of Science and Technology of ChinaDirección de correo verificada de ustc.edu.cn
Junping DuBeijing University of Posts and TelecommunicationsDirección de correo verificada de bupt.edu.cn
Lin MaUniversity of MichiganDirección de correo verificada de umich.edu
Junjie YaoAssociate Professor, East China Normal UniversityDirección de correo verificada de sei.ecnu.edu.cn
Xiaofang ZhouHong Kong University of Science and TechnologyDirección de correo verificada de cse.ust.hk
Yunhai TongPeking UniversityDirección de correo verificada de pku.edu.cn
Xiaogang ShiTencentDirección de correo verificada de tencent.com

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Yingxia Shao

SCS, BUPT

Dirección de correo verificada de bupt.edu.cn - Página principal

Large-scale Graph Analysis Graph Data Management Graph Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	196	2021
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	162	2019
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	150	2022
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	147	2014
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	137	2015
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	132	2021
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	99	2021
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	98	2016
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	91	2020
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	81	2020
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	79	2020
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	74	2022
Efficient cohesive subgraphs detection in parallel Y Shao, L Chen, B Cui Proceedings of the 2014 ACM SIGMOD International Conference on Management of …, 2014	70	2014
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	64	2015
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	61	2021
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	53	2024
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	51	2014
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	49	2020
Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection Z Chen, L Hu, W Li, Y Shao, L Nie Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023	46	2023
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	45	2019

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