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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j25]Xu Chu, Tao Chen, Nan-jing Huang, Yi-bin Xiao:
A new class of differential quasivariational inequalities with an application to a quasistatic viscoelastic frictional contact problem. Commun. Nonlinear Sci. Numer. Simul. 117: 106970 (2023)- [j24]Yujie Feng
, Jiangtao Wang, Yasha Wang, Xu Chu:
Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method. ACM Trans. Comput. Heal. 4(1): 8:1-8:18 (2023) - [j23]Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang:
iFlipper: Label Flipping for Individual Fairness. Proc. ACM Manag. Data 1(1): 8:1-8:26 (2023) - [j22]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. Proc. ACM Manag. Data 1(1): 32:1-32:28 (2023) - [j21]Chong Zhang, Yang Chen, Luliang Tang, Xu Chu, Chaokui Li:
CTCD-Net: A Cross-Layer Transmission Network for Tiny Road Crack Detection. Remote. Sens. 15(8): 2185 (2023) - [c32]Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. WWW 2023: 2819-2830 - 2022
- [j20]Zhe Wang, Xu Chu, Dongdong Li, Hai Yang, Weichao Qu:
Cost-sensitive matrixized classification learning with information entropy. Appl. Soft Comput. 116: 108266 (2022) - [j19]Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling. ACM J. Data Inf. Qual. 14(3): 15:1-15:23 (2022) - [j18]Xu Chu, Luliang Tang, Fei Sun, Xi Chen, Le Niu, Chang Ren, Qingquan Li:
Defect Detection for a Vertical Shaft Surface Based on Multimodal Sensors. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8109-8117 (2022) - [j17]Yutong Wei, Cheng Li, Wenlei Zhao, Mingyu Xue, Bin Cao, Xu Chu, Chaofeng Ye:
Electrical Compensation for Magnetization Distortion of Magnetic Fluxgate Current Sensor. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j16]Lili He, Yang Li, Xu Chu, Zhikang Shuai, Yelun Peng, Zheng John Shen:
Single-Phase to Ground Fault Line Identification for Medium Voltage Islanded Microgrids With Neutral Ineffectively Grounded Modes. IEEE Trans. Smart Grid 13(6): 4312-4326 (2022) - [c31]Changde Hu, Qiang Liu, Ziyang Li, Zhenyu Lu, Xu Chu, Xin Wen:
Research on Multi-parameter Tracking Effect Evaluation system Based on Photoelectric theodolite. DSIT 2022: 1-5 - [c30]Shuang Hao, Peng Li, Renzhi Wu, Xu Chu:
A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions. ICDE 2022: 1219-1231 - [c29]Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao:
Enhancing Robust Text Classification via Category Description. ICDM 2022: 151-160 - [c28]Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei:
DNA: Domain Generalization with Diversified Neural Averaging. ICML 2022: 4010-4034 - [c27]Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu:
Domain Generalization through the Lens of Angular Invariance. IJCAI 2022: 995-1001 - [c26]Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao:
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. KDD 2022: 2418-2428 - [c25]Qiankun Yu, Xuekui Wang, Dong Wang, Xu Chu, Bing Liu, Peng Liu:
BiTMulV: Bidirectional-Decoding Based Transformer with Multi-view Visual Representation. PRCV (1) 2022: 735-748 - [i17]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. CoRR abs/2202.02800 (2022) - [i16]Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao:
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering. CoRR abs/2204.10011 (2022) - [i15]Renzhi Wu, Shen-En Chen, Xu Chu:
Learned Label Aggregation for Weak Supervision. CoRR abs/2207.13545 (2022) - [i14]Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang:
iFlipper: Label Flipping for Individual Fairness. CoRR abs/2209.07047 (2022) - [i13]Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu:
Domain Generalization through the Lens of Angular Invariance. CoRR abs/2210.15836 (2022) - [i12]Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao:
M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. CoRR abs/2210.17292 (2022) - [i11]Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He:
Ground Truth Inference for Weakly Supervised Entity Matching. CoRR abs/2211.06975 (2022) - 2021
- [j15]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. Proc. VLDB Endow. 14(12): 2735-2738 (2021) - [j14]Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou:
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. Proc. VLDB Endow. 15(2): 272-284 (2021) - [j13]Zhongyu Liu, Xu Chu, Yan Lu, Wanli Yu, Shuguang Miao, Enjie Ding:
A Joint Optimization Framework of the Embedding Model and Classifier for Meta-Learning. Sci. Program. 2021: 1538914:1-1538914:11 (2021) - [j12]Lili He, Zhikang Shuai, Xu Chu, Wen Huang, Yu Feng, Zheng John Shen:
Waveform Difference Feature-Based Protection Scheme for Islanded Microgrids. IEEE Trans. Smart Grid 12(3): 1939-1952 (2021) - [c24]Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang:
CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks. ICDE 2021: 13-24 - [c23]Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh:
FairRover: explorative model building for fair and responsible machine learning. DEEM@SIGMOD 2021: 5:1-5:10 - [c22]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. SIGMOD Conference 2021: 1064-1076 - [c21]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. SIGMOD Conference 2021: 2076-2088 - [c20]Xu Chu, Xiaoyang Liu, Qimei Chen, Yunfei Xiong, Juanjuan Wang, Han Yu, Xiang Hu:
Joint Accuracy and Resource Allocation for Green Federated Learning Networks. SmartCom 2021: 154-163 - [i10]Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri:
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples. CoRR abs/2103.04489 (2021) - [i9]Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe:
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning. CoRR abs/2103.09055 (2021) - [i8]Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He:
Demonstration of Panda: A Weakly Supervised Entity Matching System. CoRR abs/2106.10821 (2021) - 2020
- [j11]Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. Proc. VLDB Endow. 14(3): 255-267 (2020) - [c19]Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu:
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. CIKM 2020: 395-404 - [c18]Yuanduo He, Xu Chu, Yasha Wang:
Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining. ICDE 2020: 373-384 - [c17]Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong:
Distance Metric Learning with Joint Representation Diversification. ICML 2020: 1962-1973 - [c16]Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
ZeroER: Entity Resolution using Zero Labeled Examples. SIGMOD Conference 2020: 1149-1164 - [c15]Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Image Labeling with Affinity Coding. SIGMOD Conference 2020: 1717-1732 - [i7]Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang:
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. CoRR abs/2005.05117 (2020)
2010 – 2019
- 2019
- [b2]Ihab F. Ilyas, Xu Chu:
Data Cleaning. ACM 2019, ISBN 978-1-4503-7152-0, pp. 1-285 - [j10]Lixia Zhao, Lei Zhang, Shuguang Zheng, Cheng Zhao, Hongqiao Wang, Chunhui Liu, Xu Chu:
Using the Area Ratio to Differentiate Between Benign and Malignant Breast Lesions: Ultrasound Strain Elastography versus Contrast Enhanced Ultrasound. J. Medical Imaging Health Informatics 9(4): 744-749 (2019) - [c14]Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu:
STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. CIKM 2019: 1903-1912 - [c13]Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao:
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. IJCAI 2019: 4518-4524 - [c12]Zhuoran Yu, Xu Chu:
PIClean: A Probabilistic and Interactive Data Cleaning System. SIGMOD Conference 2019: 2021-2024 - [r1]Xu Chu:
Data Cleaning. Encyclopedia of Big Data Technologies 2019 - [i6]Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu:
GOGGLES: Automatic Training Data Generation with Affinity Coding. CoRR abs/1903.04552 (2019) - [i5]Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang:
CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis]. CoRR abs/1904.09483 (2019) - [i4]Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan:
AutoER: Automated Entity Resolution using Generative Modelling. CoRR abs/1908.06049 (2019) - 2018
- [j9]Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri:
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations. Proc. VLDB Endow. 11(10): 1165-1177 (2018) - [c11]Xu Chu, Na Ruan, Ming Li, Weijia Jia:
Pseudonym Inference in Cooperative Vehicular Traffic Scenarios. CNS 2018: 1-9 - [c10]Yuanduo He, Xu Chu, Guangju Peng, Yasha Wang, Zhu Jin, Xiaorong Wang:
Mining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach. COMPSAC (1) 2018: 388-397 - [c9]Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng:
Characteristic Subspace Learning for Time Series Classification. ICDM 2018: 1019-1024 - [c8]Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao:
CAPED: Context-Aware Powerlet-Based Energy Disaggregation. PAKDD (1) 2018: 236-247 - [c7]Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng:
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel. SIGMOD Conference 2018: 1785-1788 - [i3]Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang:
Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions. CoRR abs/1811.00208 (2018) - 2017
- [b1]Xu Chu:
Scalable and Holistic Qualitative Data Cleaning. University of Waterloo, Ontario, Canada, 2017 - [j8]Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré:
HoloClean: Holistic Data Repairs with Probabilistic Inference. Proc. VLDB Endow. 10(11): 1190-1201 (2017) - [i2]Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré:
HoloClean: Holistic Data Repairs with Probabilistic Inference. CoRR abs/1702.00820 (2017) - [i1]Yuanduo He, Xu Chu, Juguang Peng, Jingyue Gao, Yasha Wang:
Motif-based Rule Discovery for Predicting Real-valued Time Series. CoRR abs/1709.04763 (2017) - 2016
- [j7]Xu Chu, Ihab F. Ilyas, Paraschos Koutris:
Distributed Data Deduplication. Proc. VLDB Endow. 9(11): 864-875 (2016) - [j6]Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang:
Detecting Data Errors: Where are we and what needs to be done? Proc. VLDB Endow. 9(12): 993-1004 (2016) - [j5]Xu Chu, Ihab F. Ilyas:
Qualitative Data Cleaning. Proc. VLDB Endow. 9(13): 1605-1608 (2016) - [c6]Mina H. Farid, Alexandra Roatis, Ihab F. Ilyas, Hella-Franziska Hoffmann, Xu Chu:
CLAMS: Bringing Quality to Data Lakes. SIGMOD Conference 2016: 2089-2092 - [c5]Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang:
Data Cleaning: Overview and Emerging Challenges. SIGMOD Conference 2016: 2201-2206 - 2015
- [j4]Ihab F. Ilyas, Xu Chu:
Trends in Cleaning Relational Data: Consistency and Deduplication. Found. Trends Databases 5(4): 281-393 (2015) - [j3]Yeye He, Kris Ganjam, Xu Chu:
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora. Proc. VLDB Endow. 8(12): 1358-1369 (2015) - [j2]Xu Chu, Mourad Ouzzani, John Morcos, Ihab F. Ilyas, Paolo Papotti, Nan Tang, Yin Ye:
KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing. Proc. VLDB Endow. 8(12): 1952-1955 (2015) - [c4]Xu Chu, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, Yin Ye:
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing. SIGMOD Conference 2015: 1247-1261 - [c3]Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam:
TEGRA: Table Extraction by Global Record Alignment. SIGMOD Conference 2015: 1713-1728 - 2014
- [c2]Xu Chu, Ihab F. Ilyas, Paolo Papotti, Yin Ye:
RuleMiner: Data quality rules discovery. ICDE 2014: 1222-1225 - 2013
- [j1]Xu Chu, Ihab F. Ilyas, Paolo Papotti:
Discovering Denial Constraints. Proc. VLDB Endow. 6(13): 1498-1509 (2013) - [c1]Xu Chu, Ihab F. Ilyas, Paolo Papotti:
Holistic data cleaning: Putting violations into context. ICDE 2013: 458-469
Coauthor Index
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last updated on 2023-06-06 22:30 CEST by the dblp team
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