| 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 | 100 | 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 | 51 | 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 | 42* | 2020 |
| Numerical simulations of multi-hop jumping on superhydrophobic surfaces Z Yuan, R Wu, X Wu International journal of heat and mass transfer 135, 345-353, 2019 | 34 | 2019 |
| Numerical simulations of guided self-propelled jumping of droplets on a wettability gradient surface Z Yuan, X Wu, F Chu, R Wu Applied Thermal Engineering 156, 524-530, 2019 | 27 | 2019 |
| Learning Hyper Label Model for Programmatic Weak Supervision R Wu, SE Chen, J Zhang, X Chu The Eleventh International Conference on Learning Representations, 2023 | 17 | 2023 |
| 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 | 14 | 2022 |
| 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 | 12 | 2020 |
| 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 | 11* | 2022 |
| 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 | 11 | 2021 |
| 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 | 9 | 2023 |
| 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 | 6 | 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 | 4 | 2022 |
| Real time pattern matching with dynamic normalization R Wu, S Sukhanov, C Debes arXiv preprint arXiv:1912.11977, 2019 | 4 | 2019 |
| Decentralized Personalized Online Federated Learning R Wu, S Mitra, X Chen, A Rao 2023 IEEE International Conference on Big Data (BigData), 1873-1882, 2023 | 1 | 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 | 1 | 2023 |
| Learned Label Aggregation for Weak Supervision R Wu, SE Chen, X Chu arXiv preprint arXiv:2207.13545, 2022 | 1 | 2022 |
| SketchQL: Video Moment Querying with a Visual Query Interface R Wu, P Chunduri, A Payani, X Chu, J Arulraj, K Rong 2025 ACM SIGMOD International Conference on Management of Data (to appear), 2025 | | 2025 |
| SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches R Wu, P Chunduri, DJ Shah, AJ Aravind, A Payani, X Chu, J Arulraj, ... Proceedings of the VLDB Endowment (PVLDB) 2024, 2024 | | 2024 |
| 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 |
