Follow
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
1302017
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
372020
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
182021
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
132021
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
122021
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
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
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
72022
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
62023
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
62021
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
K Huang, P Lio
12023
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
12023
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
K Huang, W Cao, H Ta, X Xiao, P Liņ
arXiv preprint arXiv:2403.07954, 2024
2024
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation
K Huang, R Gao, B Cautis, X Xiao
arXiv preprint arXiv:2403.02867, 2024
2024
Efficient adaptive approximation algorithms in online social networks
K Huang
Nanyang Technological University, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–18