| An efficient ride-sharing framework for maximizing shared route N Ta, G Li, T Zhao, J Feng, H Ma, Z Gong IEEE Transactions on Knowledge and Data Engineering 30 (2), 219-233, 2017 | 99 | 2017 |
| Ontology-based entity matching in attributed graphs H Ma, M Alipourlangouri, Y Wu, F Chiang, J Pi Proceedings of the VLDB Endowment 12 (10), 1195-1207, 2019 | 41 | 2019 |
| An efficient ride-sharing framework for maximizing shared routes N Ta, G Li, T Zhao, J Feng, H Ma, Z Gong 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1795-1796, 2018 | 10 | 2018 |
| Attribute-driven backbone discovery S Guan, H Ma, Y Wu Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 8 | 2019 |
| Diversified subgraph query generation with group fairness H Ma, S Guan, C Toomey, Y Wu Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 6 | 2022 |
| Explaining missing data in graphs: A constraint-based approach Q Song, P Lin, H Ma, Y Wu 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1476-1487, 2021 | 6 | 2021 |
| CRUX: Crowdsourced Materials Science Resource and Workflow Exploration M Wang, H Ma, A Daundkar, S Guan, Y Bian, A Sehirlioglu, Y Wu Proceedings of the 31st ACM International Conference on Information …, 2022 | 3 | 2022 |
| GEDet: Detecting erroneous nodes with a few examples S Guan, H Ma, S Choudhury, Y Wu Proceedings of the VLDB Endowment 14 (12), 2021 | 3 | 2021 |
| Gedet: Adversarially learned few-shot detection of erroneous nodes in graphs S Guan, P Lin, H Ma, Y Wu 2020 IEEE International Conference on Big Data (Big Data), 44-53, 2020 | 3 | 2020 |
| Subgraph query generation with fairness and diversity constraints H Ma, S Guan, M Wang, Y Chang, Y Wu 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3106-3118, 2022 | 2 | 2022 |
| Selecting Top-k Data Science Models by Example Dataset M Wang, S Guan, H Ma, Y Bian, H Che, A Daundkar, A Sehirlioglu, Y Wu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| RoboGNN: Robustifying Node Classification under Link Perturbation S Guan, H Ma, Y Wu Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 1 | 2022 |
| Fair Group Summarization with Graph Patterns H Ma, S Guan, M Wang, Q Song, Y Wu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1982-1994, 2023 | | 2023 |
| GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs S Guan, H Ma, M Wang, Y Wu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1705-1718, 2023 | | 2023 |
| Selecting Top-𝑘 Data Science Models by Example Dataset M Wang, S Guan, H Ma, Y Bian, H Che, A Daundkar, A Sehirlioglu, Y Wu | | 2023 |
| GRIP: Constraint-based Explanation of Missing Answers for Graph Queries Q Song, H Ma, P Lin, Y Wu Proceedings of the 2021 International Conference on Management of Data, 2779 …, 2021 | | 2021 |
