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Yu Yang
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An influence propagation view of pagerank
Q Liu, B Xiang, NJ Yuan, E Chen, H Xiong, Y Zheng, Y Yang
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-30, 2017
942017
Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users?
Y Yang, X Mao, J Pei, X He
SIGMOD '16 Proceedings of the 2016 International Conference on Management of …, 2016
912016
Pagerank with priors: An influence propagation perspective
B Xiang, Q Liu, E Chen, H Xiong, Y Zheng, Y Yang
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
912013
Activity maximization by effective information diffusion in social networks
Z Wang, Y Yang, J Pei, L Chu, E Chen
IEEE Transactions on Knowledge and Data Engineering 29 (11), 2374-2387, 2017
752017
Tracking influential individuals in dynamic networks
Y Yang, Z Wang, J Pei, E Chen
IEEE Transactions on Knowledge and Data Engineering 29 (11), 2615-2628, 2017
602017
On approximation of real-world influence spread
Y Yang, E Chen, Q Liu, B Xiang, T Xu, SA Shad
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
492012
Maximizing the coverage of information propagation in social networks
Z Wang, E Chen, Q Liu, Y Yang, Y Ge, B Chang
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
372015
Online density bursting subgraph detection from temporal graphs
L Chu, Y Zhang, Y Yang, L Wang, J Pei
Proceedings of the VLDB Endowment 12 (13), 2353-2365, 2019
302019
Unconstrained submodular maximization with modular costs: Tight approximation and application to profit maximization
T Jin, Y Yang, R Yang, J Shi, K Huang, X Xiao
Proceedings of the VLDB Endowment 14 (10), 1756-1768, 2021
252021
Mining density contrast subgraphs
Y Yang, L Chu, Y Zhang, Z Wang, J Pei, E Chen
2018 IEEE 34th International Conference on Data Engineering (ICDE), 221-232, 2018
202018
Stochastic continuous submodular maximization: Boosting via non-oblivious function
Q Zhang, Z Deng, Z Chen, H Hu, Y Yang
International Conference on Machine Learning, 26116-26134, 2022
182022
Influence Analysis in Evolving Networks: A Survey
Y Yang, J Pei
IEEE Transactions on Knowledge and Data Engineering 33 (3), 1045-1063, 2021
122021
Tackling temporal-dynamic service composition in cloud manufacturing systems: A tensor factorization-based two-stage approach
Y Hu, F Wu, Y Yang, Y Liu
Journal of Manufacturing Systems 63, 593-608, 2022
112022
Comprehensible counterfactual explanation on kolmogorov-smirnov test
Z Cong, L Chu, Y Yang, J Pei
arXiv preprint arXiv:2011.01223, 2020
112020
Influence efficiency maximization: How can we spread information efficiently?
X Zhu, Z Wang, Y Yang, B Zhou, Y Jia
Journal of computational science 28, 245-256, 2018
102018
Online learning for non-monotone DR-submodular maximization: From full information to bandit feedback
Q Zhang, Z Deng, Z Chen, K Zhou, H Hu, Y Yang
International Conference on Artificial Intelligence and Statistics, 3515-3537, 2023
92023
Continuous Influence Maximization
Y Yang, X Mao, J Pei, X He
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), 1-38, 2020
92020
Just-in-time single-batch-processing machine scheduling
H Zhang, Y Yang, F Wu
Computers & Operations Research 140, 105675, 2022
82022
Tracking top-k influential users with relative errors
Y Yang, Z Wang, T Jin, J Pei, E Chen
Proceedings of the 28th ACM International Conference on Information and …, 2019
8*2019
Measuring in-network node similarity based on neighborhoods: a unified parametric approach
Y Yang, J Pei, A Al-Barakati
Knowledge and Information Systems 53, 43-70, 2017
8*2017
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