| Effective Community Search for Large Attributed Graphs Y Fang, R Cheng, S Luo, J Hu Proceedings of the VLDB Endowment 9 (12), 1233-1244, 2016 | 337 | 2016 |
| A Survey of Community Search Over Big Graphs Y Fang, X Huang, L Qin, Y Zhang, W Zhang, R Cheng, X Lin The VLDB Journal 29 (1), 353-392, 2020 | 313 | 2020 |
| Effective Community Search over Large Spatial Graphs Y Fang, R Cheng, X Li, S Luo, J Hu Proceedings of the VLDB Endowment 10 (6), 709-720, 2017 | 235 | 2017 |
| Effective and Efficient Community Search over Large Heterogeneous Information Networks Y Fang, Y Yang, W Zhang, X Lin, X Cao Proceedings of the VLDB Endowment 13 (6), 854-867, 2020 | 167 | 2020 |
| Efficient Algorithms for Densest Subgraph Discovery Y Fang, K Yu, R Cheng, LVS Lakshmanan, X Lin Proceedings of the VLDB Endowment 12 (11), 1719-1732, 2019 | 118 | 2019 |
| Effective and efficient attributed community search Y Fang, R Cheng, Y Chen, S Luo, J Hu The VLDB Journal 26, 803-828, 2017 | 112 | 2017 |
| Effective and Efficient Community Search over Large Directed Graphs Y Fang, Z Wang, R Cheng, H Wang, J Hu IEEE Transactions on Knowledge and Data Engineering 31 (11), 2093-2107, 2018 | 92 | 2018 |
| Inductive Link Prediction for Nodes Having Only Attribute Information Y Hao, X Cao, Y Fang, X Xie, S Wang International Joint Conferences on Artificial Intelligence (IJCAI), 1209-1215, 2020 | 90 | 2020 |
| Efficient algorithms for densest subgraph discovery on large directed graphs C Ma, Y Fang, R Cheng, LVS Lakshmanan, W Zhang, X Lin Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 80 | 2020 |
| Purtreeclust: A clustering algorithm for customer segmentation from massive customer transaction data X Chen, Y Fang, M Yang, F Nie, Z Zhao, JZ Huang IEEE transactions on knowledge and data engineering 30 (3), 559-572, 2017 | 80 | 2017 |
| Detecting hot topics from Twitter: A multiview approach Y Fang, H Zhang, Y Ye, X Li Journal of Information Science 40, (5): 578-593, 2014 | 79 | 2014 |
| Discovering maximal motif cliques in large heterogeneous information networks J Hu, R Cheng, KCC Chang, A Sankar, Y Fang, BYH Lam 2019 IEEE 35th International Conference on Data Engineering (ICDE), 746-757, 2019 | 75 | 2019 |
| On Spatial-Aware Community Search Y Fang, Z Wang, R Cheng, X Li, S Luo, J Hu, X Chen IEEE Transactions on Knowledge and Data Engineering 31 (4), 783-798, 2019 | 74 | 2019 |
| On embedding uncertain graphs J Hu, R Cheng, Z Huang, Y Fang, S Luo Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 63 | 2017 |
| Detecting communities from heterogeneous graphs: A context path-based graph neural network model L Luo, Y Fang, X Cao, X Zhang, W Zhang Proceedings of the 30th ACM international conference on information …, 2021 | 61 | 2021 |
| Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data Y Fang, R Cheng, W Tang, S Maniu, X Yang IEEE Transactions on Knowledge and Data Engineering 28 (3), 785-800, 2016 | 60 | 2016 |
| LINC: A Motif Counting Algorithm for Uncertain Graphs C Ma, R Cheng, LVS Lakshmanan, T Grubenmann, Y Fang, X Li Proceedings of the VLDB Endowment 13 (2), 155-168, 2019 | 59 | 2019 |
| Querying minimal steiner maximum-connected subgraphs in large graphs J Hu, X Wu, R Cheng, S Luo, Y Fang Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 58 | 2016 |
| Walking in the Cloud: Parallel SimRank at Scale Z Li, Y Fang, Q Liu, J Cheng, R Cheng, JCS Lui Proceedings of the VLDB Endowment 9 (1), 13-24, 2015 | 53 | 2015 |
| Effective and efficient truss computation over large heterogeneous information networks Y Yang, Y Fang, X Lin, W Zhang IEEE International Conference on Data Engineering (ICDE), 2020 | 52 | 2020 |
Reynold ChengACM Distinguished Member, HKU Computer Science ProfessorVerified email at cs.hku.hk
