| Zeroer: Entity resolution using zero labeled examples R Wu, S Chaba, S Sawlani, X Chu, S Thirumuruganathan Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 82 | 2020 |
| Goggles: Automatic image labeling with affinity coding N Das, S Chaba, R Wu, S Gandhi, DH Chau, X Chu Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 34* | 2020 |
| Nearest neighbor classifiers over incomplete information: From certain answers to certain predictions B Karlaš, P Li, R Wu, NM Gürel, X Chu, W Wu, C Zhang Proceedings of the VLDB Endowment (PVLDB) 2020 14, 255-267, 2020 | 34 | 2020 |
| Dynamic pattern matching with multiple queries on large scale data streams S Sukhanov*, R Wu*, C Debes, AM Zoubir, (*equal contribution) Signal Processing 171, 107402, 2020 | 14 | 2020 |
| Learning Hyper Label Model for Programmatic Weak Supervision R Wu, SE Chen, J Zhang, X Chu The Eleventh International Conference on Learning Representations, 2023 | 8 | 2023 |
| Demonstration of Panda: A Weakly Supervised Entity Matching System R Wu, P Sakala, P Li, X Chu, Y He Proceedings of the VLDB Endowment (PVLDB) 2021 14, 2735 - 2738, 2021 | 8 | 2021 |
| A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling R Wu, D Nilaksh, C Sanya, G Sakshi, C Duen Horng, C Xu ACM Journal of Data and Information Quality (JDIQ)(March 2022), 2022 | 7* | 2022 |
| Learning to be a statistician: learned estimator for number of distinct values R Wu, B Ding, X Chu, Z Wei, X Dai, T Guan, J Zhou Proceedings of the VLDB Endowment (PVLDB) 2022 15 (2), 272--284, 2022 | 6 | 2022 |
| Ground Truth Inference for Weakly Supervised Entity Matching R Wu, A Bendeck, X Chu, Y He Proceedings of the ACM on Management of Data 1 (1), 1-28, 2023 | 3 | 2023 |
| Real time pattern matching with dynamic normalization R Wu, S Sukhanov, C Debes arXiv preprint arXiv:1912.11977, 2019 | 3 | 2019 |
| A model-agnostic approach for learning with noisy labels of arbitrary distributions S Hao, P Li, R Wu, X Chu 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1219-1231, 2022 | 2 | 2022 |
| A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. R Wu, N Das, S Chaba, S Gandhi, DH Chau, X Chu ACM Journal of Data and Information Quality (JDIQ), 2022 | 2 | 2022 |
| Learned Label Aggregation for Weak Supervision R Wu, SE Chen, X Chu arXiv preprint arXiv:2207.13545, 2022 | 1 | 2022 |
| Decentralized Personalized Online Federated Learning R Wu, S Mitra, X Chen, A Rao arXiv preprint arXiv:2311.04817, 2023 | | 2023 |
| Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests A De Angelis, M Mazzei, F Piai, P Merialdo, G Simonini, L Zecchini, ... ACM SIGMOD Record 52 (2), 43-47, 2023 | | 2023 |
| Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data R Wu, J Meng, JJ Xu, H Wang, K Rong arXiv preprint arXiv:2308.00909, 2023 | | 2023 |
