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Renzhi Wu
Renzhi Wu
Bestätigte E-Mail-Adresse bei gatech.edu - Startseite
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Jahr
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
562020
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
27*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
202020
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
92020
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
42021
Real time pattern matching with dynamic normalization
R Wu, S Sukhanov, C Debes
arXiv preprint arXiv:1912.11977, 2019
32019
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
22022
Learned Label Aggregation for Weak Supervision
R Wu, SE Chen, X Chu
arXiv preprint arXiv:2207.13545, 2022
12022
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
12022
Ground Truth Inference for Weakly Supervised Entity Matching
R Wu, A Bendeck, X Chu, Y He
arXiv preprint arXiv:2211.06975, 2022
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
2022
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