Keke Huang
Title
Cited by
Cited by
Year
Revisiting the stop-and-stare algorithms for influence maximization
K Huang, S Wang, G Bevilacqua, X Xiao, LVS Lakshmanan
Proceedings of the VLDB Endowment 10 (9), 913-924, 2017
712017
Efficient algorithms for adaptive influence maximization
K Han, K Huang, X Xiao, J Tang, A Sun, X Tang
Proceedings of the VLDB Endowment 11 (9), 1029-1040, 2018
282018
Efficient approximation algorithms for adaptive seed minimization
J Tang, K Huang, X Xiao, LVS Lakshmanan, X Tang, A Sun, A Lim
Proceedings of the 2019 International Conference on Management of Data, 1096 …, 2019
112019
Refutations on" Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study"
W Lu, X Xiao, A Goyal, K Huang, LVS Lakshmanan
arXiv preprint arXiv:1705.05144, 2017
52017
Efficient approximation algorithms for adaptive target profit maximization
K Huang, J Tang, X Xiao, A Sun, A Lim
2020 IEEE 36th International Conference on Data Engineering (ICDE), 649-660, 2020
32020
Efficient approximation algorithms for adaptive influence maximization
K Huang, J Tang, K Han, X Xiao, W Chen, A Sun, X Tang, A Lim
The VLDB Journal, 1-22, 2020
22020
Effective and Scalable Clustering on Massive Attributed Graphs
R Yang, J Shi, Y Yang, K Huang, S Zhang, X Xiao
arXiv preprint arXiv:2102.03826, 2021
2021
Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks
K Han, Y He, K Huang, X Xiao, S Tang, J Xu, L Huang
IEEE Transactions on Knowledge and Data Engineering 32 (12), 2297-2309, 2019
2019
EFFICIENT ADAPTIVE APPROXIMATION ALGORITHMS IN ONLINE SOCIAL NETWORKS
H Keke
Nanyang Technological University, 2019
2019
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