| Mining periodic cliques in temporal networks H Qin, RH Li, G Wang, L Qin, Y Cheng, Y Yuan 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1130-1141, 2019 | 49 | 2019 |
| Mining stable communities in temporal networks by density-based clustering H Qin, RH Li, G Wang, X Huang, Y Yuan, JX Yu IEEE Transactions on Big Data 8 (3), 671-684, 2020 | 23 | 2020 |
| Scaling Up Maximal k-plex Enumeration Q Dai, RH Li, H Qin, M Liao, G Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 22 | 2022 |
| Periodic communities mining in temporal networks: Concepts and algorithms H Qin, RH Li, Y Yuan, G Wang, W Yang, L Qin IEEE Transactions on Knowledge and Data Engineering 34 (8), 3927-3945, 2020 | 21 | 2020 |
| Mining Bursting Core in Large Temporal Graph H Qin, RH Li, Y Yuan, G Wang, L Qin, Z Zhang Proceedings of the VLDB Endowment 15 (13), 3911-3923, 2022 | 15 | 2022 |
| Efficient biclique counting in large bipartite graphs X Ye, RH Li, Q Dai, H Qin, G Wang Proceedings of the ACM on Management of Data 1 (1), 1-26, 2023 | 13 | 2023 |
| Efficient personalized pagerank computation: The power of variance-reduced monte carlo approaches M Liao, RH Li, Q Dai, H Chen, H Qin, G Wang Proceedings of the ACM on Management of Data 1 (2), 1-26, 2023 | 12 | 2023 |
| QTCS: Efficient Query-Centered Temporal Community Search L Lin, P Yuan, RH Li, C Zhu, H Qin, H Jin, T Jia Proceedings of the VLDB Endowment 17 (6), 1187-1199, 2024 | 9 | 2024 |
| Trust-aware personalized route query using extreme learning machine in location-based social networks Y Ma, Y Yuan, G Wang, X Bi, H Qin Cognitive Computation 10, 965-979, 2018 | 9 | 2018 |
| Efficient resistance distance computation: The power of landmark-based approaches M Liao, RH Li, Q Dai, H Chen, H Qin, G Wang Proceedings of the ACM on Management of Data 1 (1), 1-27, 2023 | 8 | 2023 |
| Effective and efficient community search in directed graphs across heterogeneous social networks Z Wang, Y Yuan, X Zhou, H Qin Databases Theory and Applications: 31st Australasian Database Conference …, 2020 | 8 | 2020 |
| Mining bursting communities in temporal graphs H Qin, RH Li, G Wang, L Qin, Y Yuan, Z Zhang arXiv preprint arXiv:1911.02780, 2019 | 8 | 2019 |
| An effective method for community search in large directed attributed graphs Z Wang, Y Yuan, G Wang, H Qin, Y Ma Mobile Ad-hoc and Sensor Networks: 13th International Conference, MSN 2017 …, 2018 | 8 | 2018 |
| Densest periodic subgraph mining on large temporal graphs H Qin, RH Li, Y Yuan, Y Dai, G Wang IEEE Transactions on Knowledge and Data Engineering 35 (11), 11259-11273, 2023 | 7 | 2023 |
| Temporal graph cube G Wang, Y Zeng, RH Li, H Qin, X Shi, Y Xia, X Shang, L Hong IEEE Transactions on Knowledge and Data Engineering 35 (12), 13015-13030, 2023 | 6 | 2023 |
| Colorful h-star core decomposition S Gao, RH Li, H Qin, H Chen, Y Yuan, G Wang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2588-2601, 2022 | 5 | 2022 |
| Parallel Colorful h-Star Core Maintenance in Dynamic Graphs S Gao, H Qin, RH Li, B He Proceedings of the VLDB Endowment 16 (10), 2538-2550, 2023 | 4 | 2023 |
| Self-attention Hypergraph Pooling Network. Y Zhao, F Jin, R Li, H Qin, P Cui, G Wang International Journal of Software & Informatics 13 (4), 2023 | 3 | 2023 |
| Maximal quasi-cliques mining in uncertain graphs L Qiao, RH Li, Z Zhang, Y Yuan, G Wang, H Qin IEEE Transactions on Big Data 9 (1), 37-50, 2021 | 3 | 2021 |
| Maximal Biclique Enumeration: A Prefix Tree Based Approach J Chen, K Wang, RH Li, H Qin, X Lin, G Wang 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2544-2556, 2024 | 2 | 2024 |
