Peng Li
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CleanML: A study for evaluating the impact of data cleaning on ml classification tasks
P Li, X Rao, J Blase, Y Zhang, X Chu, C Zhang
2021 IEEE 37th International Conference on Data Engineering (ICDE), 13-24, 2021
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
arXiv preprint arXiv:2005.05117, 2020
Auto-FuzzyJoin: auto-program fuzzy similarity joins without labeled examples
P Li, X Cheng, X Chu, Y He, S Chaudhuri
Proceedings of the 2021 International Conference on Management of Data, 1064 …, 2021
Demonstration of panda: a weakly supervised entity matching system
R Wu, P Sakala, P Li, X Chu, Y He
arXiv preprint arXiv:2106.10821, 2021
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
Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
P Li, Y He, C Yan, Y Wang, S Chauduri
arXiv preprint arXiv:2307.14565, 2023
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data
P Li, Z Chen, X Chu, K Rong
Proceedings of the ACM on Management of Data 1 (2), 1-26, 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
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