| Online Processing Algorithms for Influence Maximization J Tang, X Tang, X Xiao, J Yuan Proceedings of the 2018 SIGMOD International Conference on Management of …, 2018 | 188 | 2018 |
| Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer Y Ma, J Li, Z Cao, W Song, L Zhang, Z Chen, J Tang Advances in Neural Information Processing Systems (NeurIPS) 34, 11096-11107, 2021 | 171 | 2021 |
| Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis J Tang, X Tang, J Yuan IEEE Transactions on Knowledge and Data Engineering 30 (6), 1095-1108, 2018 | 97 | 2018 |
| A survey on mixture of experts W Cai, J Jiang, F Wang, J Tang, S Kim, J Huang arXiv preprint arXiv:2407.06204 1, 2024 | 82 | 2024 |
| 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 | 69 | 2018 |
| Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene X Li, C Li, Z Tong, A Lim, J Yuan, Y Wu, J Tang, R Huang 2020 ACM International Conference on Multimedia (ACM MM), 238-246, 2020 | 65 | 2020 |
| Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach J Tang, X Tang, J Yuan Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM …, 2017 | 61 | 2017 |
| Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach J Tang, X Tang, J Yuan arXiv preprint arXiv:1705.10442, 2017 | 61 | 2017 |
| An Efficient and Effective Hop-Based Approach for Influence Maximization in Social Networks J Tang, X Tang, J Yuan Social Network Analysis and Mining 8 (1), 10, 2018 | 60 | 2018 |
| Profit Maximization for Viral Marketing in Online Social Networks J Tang, X Tang, J Yuan 2016 IEEE 24th International Conference on Network Protocols (ICNP), 1-10, 2016 | 60 | 2016 |
| Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives Y Huang, J Tang, Q Cong, A Lim, J Xu Proceedings of the 2021 SIGMOD International Conference on Management of …, 2021 | 51 | 2021 |
| 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 (6), 1385-1406, 2020 | 45 | 2020 |
| Efficient Approximation Algorithms for Adaptive Influence Maximization K Huang, J Tang, K Han, X Xiao, W Chen, A Sun, X Tang, A Lim arXiv preprint arXiv:2004.06469, 2020 | 45 | 2020 |
| Towards Profit Maximization for Online Social Network Providers J Tang, X Tang, J Yuan 2018 IEEE Conference on Computer Communications (INFOCOM), 1178-1186, 2018 | 45 | 2018 |
| Towards Profit Maximization for Online Social Network Providers J Tang, X Tang, J Yuan arXiv preprint arXiv:1712.08963, 2017 | 45 | 2017 |
| Efficient and Effective Algorithms for Clustering Uncertain Graphs K Han, F Gui, X Xiao, J Tang, Y He, Z Cao, H Huang Proceedings of the VLDB Endowment 12 (6), 667-680, 2019 | 37 | 2019 |
| 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 SIGMOD International Conference on Management of …, 2019 | 33 | 2019 |
| Pricing Influential Nodes in Online Social Networks Y Zhu, J Tang, X Tang Proceedings of the VLDB Endowment 13 (10), 1614-1627, 2020 | 27 | 2020 |
| Dq-lore: Dual queries with low rank approximation re-ranking for in-context learning J Xiong, Z Li, C Zheng, Z Guo, Y Yin, E Xie, Z Yang, Q Cao, H Wang, ... arXiv preprint arXiv:2310.02954, 2023 | 23 | 2023 |
| Influence Maximization Revisited: Efficient Sampling with Bound Tightened Q Guo, S Wang, Z Wei, W Lin, J Tang ACM Transactions on Database Systems (TODS) 47 (3), 1-45, 2022 | 23 | 2022 |
Kai HanProfessor, School of Computer Science and Technology, Soochow UniversityEmail yang diverifikasi di suda.edu.cn
