| Deep learning for entity matching: A design space exploration S Mudgal, H Li, T Rekatsinas, AH Doan, Y Park, G Krishnan, R Deep, ... Proceedings of the 2018 international conference on management of data, 19-34, 2018 | 852 | 2018 |
| Magellan: Toward building entity matching management systems PV Konda The University of Wisconsin-Madison, 2018 | 380 | 2018 |
| 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 |
| Magellan: toward building entity matching management systems over data science stacks P Konda, S Das, PSG C, AH Doan, A Ardalan, JR Ballard, H Li, F Panahi, ... Proceedings of the VLDB Endowment 9 (13), 1581-1584, 2016 | 105 | 2016 |
| Inferring air pollution by sniffing social media S Mei, H Li, J Fan, X Zhu, CR Dyer 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 97 | 2014 |
| 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 |
| A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems S Park, H Li, A Patel, S Mudgal, S Lee, YB Kim, S Matsoukas, R Sarikaya Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 27 | 2021 |
| 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 |
| MatchCatcher: A Debugger for Blocking in Entity Matching. H Li, P Konda, PS GC, AH Doan, B Snyder, Y Park, G Krishnan, R Deep, ... EDBT, 193-204, 2018 | 15 | 2018 |
| Neural model robustness for skill routing in large-scale conversational ai systems: A design choice exploration H Li, S Park, A Dara, J Nam, S Lee, YB Kim, S Matsoukas, R Sarikaya arXiv preprint arXiv:2103.03373, 2021 | 9 | 2021 |
| 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 |
| Continuous learning for large-scale personalized domain classification H Li, J Lee, S Mudgal, R Sarikaya, YB Kim arXiv preprint arXiv:1905.00921, 2019 | 6 | 2019 |
| Random walks on context-aware relation graphs for ranking social tags H Li, Z Liu, M Sun Proceedings of COLING 2012: Posters, 653-662, 2012 | 4 | 2012 |
| Learning slice-aware representations with mixture of attentions C Wang, S Lee, S Park, H Li, YB Kim, R Sarikaya arXiv preprint arXiv:2106.02363, 2021 | 2 | 2021 |
| LongLeader: A comprehensive leaderboard for large language models in long-context scenarios P Chen, H Jin, CC Lee, R Shao, J Yang, M Zhao, Z Zhang, Q Lu, K Men, ... Proceedings of the 2025 Conference of the Nations of the Americas Chapter of …, 2025 | 1 | 2025 |
| Multimodal Instruction Tuning with Hybrid State Space Models J Zhou, H Li, S Zhang, N Xie, R Wang, X Nie, S Liu, L Wang arXiv preprint arXiv:2411.08840, 2024 | 1 | 2024 |
