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Renzhi Wu
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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
942020
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
462020
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
36*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
342019
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
262019
Learning Hyper Label Model for Programmatic Weak Supervision
R Wu, SE Chen, J Zhang, X Chu
The Eleventh International Conference on Learning Representations, 2023
152023
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
132022
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
122020
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
10*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
92021
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
62023
Real time pattern matching with dynamic normalization
R Wu, S Sukhanov, C Debes
arXiv preprint arXiv:1912.11977, 2019
42019
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
32022
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
32022
Decentralized Personalized Online Federated Learning
R Wu, S Mitra, X Chen, A Rao
2023 IEEE International Conference on Big Data (BigData), 1873-1882, 2023
12023
Learned Label Aggregation for Weak Supervision
R Wu, SE Chen, X Chu
arXiv preprint arXiv:2207.13545, 2022
12022
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
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
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Articles 1–20