| Deep learning for blocking in entity matching: a design space exploration S Thirumuruganathan, H Li, N Tang, M Ouzzani, Y Govind, D Paulsen, ... Proceedings of the VLDB Endowment 14 (11), 2459-2472, 2021 | 146 | 2021 |
| The magellan data repository S Das, A Doan, CG Psgc, P Konda, Y Govind, D Paulsen Konda,” The magellan data repository”,[online] Available: https://sites …, 2015 | 98 | 2015 |
| Sparkly: A simple yet surprisingly strong TF/IDF blocker for entity matching D Paulsen, Y Govind, AH Doan Proceedings of the VLDB Endowment 16 (6), 1507-1519, 2023 | 60 | 2023 |
| Magellan: toward building ecosystems of entity matching solutions AH Doan, P Konda, P Suganthan GC, Y Govind, D Paulsen, ... Communications of the ACM 63 (8), 83-91, 2020 | 53 | 2020 |
| Human-in-the-loop challenges for entity matching: A midterm report AH Doan, A Ardalan, J Ballard, S Das, Y Govind, P Konda, H Li, S Mudgal, ... Proceedings of the 2nd workshop on human-in-the-loop data analytics, 1-6, 2017 | 35 | 2017 |
| Entity matching meets data science: A progress report from the magellan project Y Govind, P Konda, P Suganthan GC, P Martinkus, P Nagarajan, H Li, ... Proceedings of the 2019 International Conference on Management of Data, 389-403, 2019 | 29 | 2019 |
| Cloudmatcher: a hands-off cloud/crowd service for entity matching Y Govind, E Paulson, P Nagarajan, PSG C, AH Doan, Y Park, GM Fung, ... Proceedings of the VLDB Endowment 11 (12), 2042-2045, 2018 | 25 | 2018 |
| Toward a system building agenda for data integration AH Doan, A Ardalan, JR Ballard, S Das, Y Govind, P Konda, H Li, ... arXiv preprint arXiv:1710.00027, 2017 | 17 | 2017 |
| CloudMatcher: A Cloud/Crowd Service for Entity Matching Y Govind, E Paulson, M Ashok, PS GC, A Hitawala, AH Doan, Y Park, ... Big Data Analytics as a Service at KDD, 2017 | 17 | 2017 |
| APE: Active learning-based tooling for finding informative few-shot examples for LLM-based entity matching K Qian, Y Sang, F Bayat, A Belyi, X Chu, Y Govind, S Khorshidi, R Khot, ... Proceedings of the Fifth Workshop on Data Science with Human-in-the-Loop …, 2024 | 8 | 2024 |
| Technical perspective: toward building entity matching management systems P Konda, S Das, P Suganthan GC, P Martinkus, A Ardalan, JR Ballard, ... ACM SIGMOD Record 47 (1), 33-40, 2018 | 8 | 2018 |
| Open domain knowledge extraction for knowledge graphs K Qian, A Belyi, F Wu, S Khorshidi, A Nikfarjam, R Khot, Y Sang, K Luna, ... arXiv preprint arXiv:2312.09424, 2023 | 5 | 2023 |
| Deep learning for semantic matching: A survey H Li, Y Govind, S Mudgal, T Rekatsinas, AH Doan Journal of Computer Science and Cybernetics 37 (4), 365-402, 2021 | 5 | 2021 |
| ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs S Khorshidi, A Nikfarjam, S Shankar, Y Sang, Y Govind, H Jang, ... arXiv preprint arXiv:2509.04696, 2025 | | 2025 |
| Cloudmatcher: Toward a Cloud Service for Entity Matching Y Govind The University of Wisconsin-Madison, 2020 | | 2020 |
AnHai DoanProfessor of Computer Science, University of Wisconsin-MadisonVerified email at cs.wisc.edu
