| 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 | 93 | 2017 |
| 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 | 91 | 2016 |
| 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 | 91 | 2013 |
| 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 | 74 | 2017 |
| 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 | 60 | 2017 |
| 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 | 49 | 2012 |
| 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 | 37 | 2015 |
| 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 | 29 | 2019 |
| 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 | 23 | 2021 |
| 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 | 20 | 2018 |
| 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 | 16 | 2022 |
| Influence Analysis in Evolving Networks: A Survey Y Yang, J Pei IEEE Transactions on Knowledge and Data Engineering 33 (3), 1045-1063, 2021 | 12 | 2021 |
| 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 | 10 | 2022 |
| Comprehensible counterfactual explanation on kolmogorov-smirnov test Z Cong, L Chu, Y Yang, J Pei arXiv preprint arXiv:2011.01223, 2020 | 10 | 2020 |
| 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 | 10 | 2018 |
| Continuous Influence Maximization Y Yang, X Mao, J Pei, X He ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), 1-38, 2020 | 9 | 2020 |
| 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 | 8 | 2023 |
| Just-in-time single-batch-processing machine scheduling H Zhang, Y Yang, F Wu Computers & Operations Research 140, 105675, 2022 | 8 | 2022 |
| 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 |
