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Keke Huang
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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
1332017
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
642018
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 29, 1385-1406, 2020
392020
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
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
192021
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
182020
Optimal streaming algorithms for multi-armed bandits
T Jin, K Huang, J Tang, X Xiao
International Conference on Machine Learning, 5045-5054, 2021
162021
Almost optimal anytime algorithm for batched multi-armed bandits
T Jin, J Tang, P Xu, K Huang, X Xiao, Q Gu
International Conference on Machine Learning, 5065-5073, 2021
152021
Effective and scalable clustering on massive attributed graphs
R Yang, J Shi, Y Yang, K Huang, S Zhang, X Xiao
Proceedings of the Web Conference 2021, 3675-3687, 2021
132021
Node-wise diffusion for scalable graph learning
K Huang, J Tang, J Liu, R Yang, X Xiao
Proceedings of the ACM Web Conference 2023, 1723-1733, 2023
122023
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
122017
Scalable and effective bipartite network embedding
R Yang, J Shi, K Huang, X Xiao
Proceedings of the 2022 International Conference on Management of Data, 1977 …, 2022
112022
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
82019
Efficient and effective edge-wise graph representation learning
H Wang, R Yang, K Huang, X Xiao
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
52023
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
K Huang, YG Wang, M Li
arXiv preprint arXiv:2405.12474, 2024
22024
Optimizing polynomial graph filters: A novel adaptive krylov subspace approach
K Huang, W Cao, H Ta, X Xiao, P Liò
Proceedings of the ACM on Web Conference 2024, 1057-1068, 2024
22024
An effective universal polynomial basis for spectral graph neural networks
K Huang, P Liò
22023
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation
K Huang, R Gao, B Cautis, X Xiao
Proceedings of the ACM on Web Conference 2024, 2660-2671, 2024
2024
Efficient adaptive approximation algorithms in online social networks
K Huang
Nanyang Technological University, 2019
2019
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