| 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 | 133 | 2017 |
| 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 | 64 | 2018 |
| 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 | 39 | 2020 |
| 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 | 30 | 2019 |
| 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 | 19 | 2021 |
| 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 | 18 | 2020 |
| Optimal streaming algorithms for multi-armed bandits T Jin, K Huang, J Tang, X Xiao International Conference on Machine Learning, 5045-5054, 2021 | 16 | 2021 |
| 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 | 15 | 2021 |
| 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 | 13 | 2021 |
| 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 | 12 | 2023 |
| 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 | 12 | 2017 |
| 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 | 11 | 2022 |
| 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 | 8 | 2019 |
| 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 | 4 | 2023 |
| An effective universal polynomial basis for spectral graph neural networks K Huang, P Liò | 2 | 2023 |
| 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 | 1 | 2024 |
| 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 | | 2024 |
| 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 |
Xiaokui XiaoNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
