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Yishi Lin
Yishi Lin
PhD in Computer Science and Engineering, Researcher@Tencent
Verified email at tencent.com - Homepage
Title
Cited by
Cited by
Year
Boosting information spread: An algorithmic approach
Y Lin, W Chen, JCS Lui
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 883-894, 2017
662017
Analyzing competitive influence maximization problems with partial information: An approximation algorithmic framework
Y Lin, JCS Lui
Performance Evaluation 91, 187-204, 2015
522015
Generative adversarial framework for cold-start item recommendation
H Chen, Z Wang, F Huang, X Huang, Y Xu, Y Lin, P He, Z Li
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
382022
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
322014
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
242021
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
162021
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
132019
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
92020
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
32015
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
32014
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
22019
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
22019
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
12020
Invariant adversarial learning for distributional robustness (2020)
J Liu, Z Shen, P Cui, L Zhou, K Kuang, B Li, Y Lin
arXiv preprint arXiv:2006.04414, 0
1
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
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