| When engagement meets similarity: efficient (k, r)-core computation on social networks F Zhang, Y Zhang, L Qin, W Zhang, X Lin Proceedings of the VLDB Endowment 10: 998-1009., 2017 | 149 | 2017 |
| Finding critical users for social network engagement: The collapsed k-core problem F Zhang, Y Zhang, L Qin, W Zhang, X Lin Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 109 | 2017 |
| OLAK: an efficient algorithm to prevent unraveling in social networks F Zhang, W Zhang, Y Zhang, L Qin, X Lin Proceedings of the VLDB Endowment 10 (6), 649-660, 2017 | 95 | 2017 |
| Efficient community search with size constraint B Liu, F Zhang, W Zhang, X Lin, Y Zhang 2021 IEEE 37th International Conference on Data Engineering (ICDE), 97-108, 2021 | 56 | 2021 |
| K-Core Maximization: An Edge Addition Approach. Z Zhou, F Zhang, X Lin, W Zhang, C Chen IJCAI, 4867-4873, 2019 | 55 | 2019 |
| Hierarchical core maintenance on large dynamic graphs Z Lin, F Zhang, X Lin, W Zhang, Z Tian Proceedings of the VLDB Endowment 14 (5), 757-770, 2021 | 51 | 2021 |
| Efficiently reinforcing social networks over user engagement and tie strength F Zhang, Y Zhang, L Qin, W Zhang, X Lin 2018 IEEE 34th International Conference on Data Engineering (ICDE), 557-568, 2018 | 46 | 2018 |
| Global reinforcement of social networks: The anchored coreness problem Q Linghu, F Zhang, X Lin, W Zhang, Y Zhang Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 45 | 2020 |
| Efficient progressive minimum k-core search C Li, F Zhang, Y Zhang, L Qin, W Zhang, X Lin Proceedings of the VLDB Endowment, 2020 | 38 | 2020 |
| Discovering strong communities with user engagement and tie strength F Zhang, L Yuan, Y Zhang, L Qin, X Lin, A Zhou International Conference on Database Systems for Advanced Applications, 425-441, 2018 | 38 | 2018 |
| Finding critical users in social communities: The collapsed core and truss problems F Zhang, C Li, Y Zhang, L Qin, W Zhang IEEE Transactions on Knowledge and Data Engineering 32 (1), 78-91, 2018 | 37 | 2018 |
| Exploring finer granularity within the cores: Efficient (k, p)-core computation C Zhang, F Zhang, W Zhang, B Liu, Y Zhang, L Qin, X Lin 2020 IEEE 36th International Conference on Data Engineering (ICDE), 181-192, 2020 | 35 | 2020 |
| Finding the best k in core decomposition: A time and space optimal solution D Chu, F Zhang, X Lin, W Zhang, Y Zhang, Y Xia, C Zhang 2020 IEEE 36th International Conference on Data Engineering (ICDE), 685-696, 2020 | 34 | 2020 |
| Corecube: Core decomposition in multilayer graphs B Liu, F Zhang, C Zhang, W Zhang, X Lin Web Information Systems Engineering–WISE 2019: 20th International Conference …, 2019 | 34 | 2019 |
| Adaptive asynchronous clustering algorithms for wireless mesh networks C Qiao, KN Brown, F Zhang, Z Tian IEEE Transactions on Knowledge and Data Engineering 35 (3), 2610-2627, 2021 | 30 | 2021 |
| Pivotal Relationship Identification: The K-Truss Minimization Problem. W Zhu, M Zhang, C Chen, X Wang, F Zhang, X Lin IJCAI, 4874-4880, 2019 | 26 | 2019 |
| Discovering key users for defending network structural stability F Zhang, J Xie, K Wang, S Yang, Y Jiang World Wide Web 25 (2), 679-701, 2022 | 20 | 2022 |
| Towards efficient path skyline computation in bicriteria networks D Ouyang, L Yuan, F Zhang, L Qin, X Lin International Conference on Database Systems for Advanced Applications, 239-254, 2018 | 19 | 2018 |
| Unsupervised graph outlier detection: Problem revisit, new insight, and superior method Y Huang, L Wang, F Zhang, X Lin 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2565-2578, 2023 | 15 | 2023 |
| Hierarchical core decomposition in parallel: From construction to subgraph search D Chu, F Zhang, W Zhang, X Lin, Y Zhang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1138-1151, 2022 | 15 | 2022 |
Xuemin LinChair Professor at Shanghai Jiaotong UniversityAdresă de e-mail confirmată pe cse.unsw.edu.au
