| Boosting information spread: An algorithmic approach Y Lin, W Chen, JCS Lui 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 883-894, 2017 | 53 | 2017 |
| Analyzing competitive influence maximization problems with partial information: An approximation algorithmic framework Y Lin, JCS Lui Performance Evaluation 91, 187-204, 2015 | 47* | 2015 |
| Modelling multi-state diffusion process in complex networks: theory and applications Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim Journal of Complex Networks 2 (4), 431-459, 2014 | 31 | 2014 |
| Stable adversarial learning under distributional shifts J Liu, Z Shen, P Cui, L Zhou, K Kuang, B Li, Y Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8662-8670, 2021 | 13 | 2021 |
| Combining offline causal inference and online bandit learning for data driven decision L Ye, Y Lin, H Xie, J Lui arXiv preprint arXiv:2001.05699, 2020 | 8 | 2020 |
| Fates of microscopic social ecosystems: Keep alive or dead? H Li, P Cui, C Zang, T Zhang, W Zhu, Y Lin Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 8 | 2019 |
| Unifying offline causal inference and online bandit learning for data driven decision Y Li, H Xie, Y Lin, JCS Lui Proceedings of the Web Conference 2021, 2291-2303, 2021 | 7 | 2021 |
| Efficient spread-size approximation of opinion spreading in general social networks B Choe, Y Lin, S Lim, JCS Lui, K Jung Physical Review E 100 (5), 052311, 2019 | 3 | 2019 |
| I/O efficient algorithms for exact distance queries on disk-resident dynamic graphs Y Lin, X Chen, JCS Lui Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 3 | 2015 |
| To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks Y Li, H Xie, Y Lin, JCS Lui 2019 IEEE International Conference on Data Mining (ICDM), 1180-1185, 2019 | 2 | 2019 |
| A provable algorithmic approach to product selection problems for market entry and sustainability S Xu, Y Lin, H Xie, JCS Lui Proceedings of the 26th International Conference on Scientific and …, 2014 | 2 | 2014 |
| Invariant Adversarial Learning for Distributional Robustness. J Liu, Z Shen, P Cui, L Zhou, K Kuang, B Li, Y Lin arXiv preprint arXiv:2006.04414, 2020 | 1 | 2020 |
| Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization L Ye, H Xie, Y Lin, JCS Lui IEEE Transactions on Knowledge and Data Engineering 34 (9), 4410-4424, 2020 | | 2020 |
| Information Diffusion and Distance Query in Large-Scale Networks: Theory, Algorithms and Applications Y Lin PQDT-Global, 2017 | | 2017 |
| Where & Who Should You Advertise? Influence Maximization for Two-Layer Networks Y Lin, JCS Lui | | |
Hong XieThe Chongqing Institutes of Green and Intelligent Technology, Chinese Academy of Sciences在 cigit.ac.cn 的电子邮件经过验证
