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Xu Chu

Ground Truth Inference for Weakly Supervised Entity Matching

Nov 13, 2022
Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He

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* To appear in SIGMOD 2023

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M$^3$Care: Learning with Missing Modalities in Multimodal Healthcare Data

Oct 28, 2022
Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao

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* KDD 2022
* 9 pages

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Domain Generalization through the Lens of Angular Invariance

Oct 28, 2022
Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu

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* 15 pages, 3 figures, published as a conference paper in IJCAI2022 (modified a few mistakes)

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iFlipper: Label Flipping for Individual Fairness

Sep 15, 2022
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang

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* 20 pages, 19 figures, 8 tables

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Learning to be a Statistician: Learned Estimator for Number of Distinct Values

Feb 06, 2022
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou

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* PVLDB, 15(2): 272 - 284, 2022
* Published at International Conference on Very Large Data Bases (VLDB) 2022

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Demonstration of Panda: A Weakly Supervised Entity Matching System

Jun 21, 2021
Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He

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* vldb 2021 demo
* video can be found at https://chu-data-lab.cc.gatech.edu/ml-for-data-integration/

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