Xu Chu

According to our database, Xu Chu authored at least 109 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SketchQL: Video Moment Querying with a Visual Query Interface.

Renzhi Wu, Pramod Chunduri, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong

Proc. ACM Manag. Data, September, 2024

Tool State Recognition Based on POGNN-GRU under Unbalanced Data.

Weiming Tong, Jiaqi Shen, Zhongwei Li, Xu Chu, Wenqi Jiang, Liguo Tan

Sensors, August, 2024

SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches.

Renzhi Wu, Pramod Chunduri, Dristi J. Shah, Ashmitha Julius Aravind, Ali Payani, Xu Chu, Joy Arulraj, Kexin Rong

Proc. VLDB Endow., August, 2024

IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models.

Zhihao Yu, Yujie Jin, Yongxin Xu, Xu Chu, Yasha Wang, Junfeng Zhao

CoRR, 2024

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems.

Xinke Jiang, Yuchen Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning.

Yujie Feng, Xu Chu, Yongxin Xu, Zexin Lu, Bo Liu, Philip S. Yu, Xiao-Ming Wu

CoRR, 2024

KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models.

Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories.

Tianlong Wang, Xianfeng Jiao, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma

CoRR, 2024

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction.

Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao

CoRR, 2024

LoRA Dropout as a Sparsity Regularizer for Overfitting Control.

Yang Lin, Xinyu Ma, Xu Chu, Yujie Jin, Zhibang Yang, Yasha Wang, Hong Mei

CoRR, 2024

Exploring the Potential of Large Language Models in Graph Generation.

Yang Yao, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Xu Chu, Yuekui Yang, Wenwu Zhu, Hong Mei

CoRR, 2024

Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction.

Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma

CoRR, 2024

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.

Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

Imputation with Inter-Series Information from Prototypes for Irregular Sampled Time Series.

Zhihao Yu, Xu Chu, Liantao Ma, Yasha Wang, Wenwu Zhu

CoRR, 2024

A new class of general fractional differential quasivariational and quasivariational-hemivariational inequalities with variable constraint sets.

Xu Chu, Tao Chen, Nan-jing Huang, Xue-song Li

Commun. Nonlinear Sci. Numer. Simul., 2024

ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup.

Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Temporal Domain Generalization via Learning Instance-level Evolving Patterns.

Yujie Jin, Zhibang Yang, Xu Chu, Liantao Ma

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet.

Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation.

Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning.

Xin Gao, Yang Lin, Ruiqing Li, Yasha Wang, Xu Chu, Xinyu Ma, Hailong Yu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation.

Yang Lin, Xinyu Ma, Xin Gao, Ruiqing Li, Yasha Wang, Xu Chu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation.

Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Transcriptional correlates of frequency-dependent brain functional activity associated with symptom severity in degenerative cervical myelopathy.

Xing Guo, Jie Li, Qian Su, Jiajun Song, Cai Cheng, Xu Chu, Rui Zhao

NeuroImage, December, 2023

Patient Health Representation Learning via Correlational Sparse Prior of Medical Features.

Xinyu Ma, Yasha Wang, Xu Chu, Liantao Ma, Wen Tang, Junfeng Zhao, Ye Yuan, Guoren Wang

IEEE Trans. Knowl. Data Eng., November, 2023

Adaptive federated few-shot feature learning with prototype rectification.

Mengping Yang, Xu Chu, Jingwen Zhu, Yonghui Xi, Saisai Niu, Zhe Wang

Eng. Appl. Artif. Intell., November, 2023

A multimodal dual-fusion entity extraction model for large and complex devices.

Weiming Tong, Xu Chu, Wenqi Jiang, Zhongwei Li

Comput. Commun., October, 2023

Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction.

Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu

IEEE Trans. Big Data, August, 2023

Experiences and Lessons Learned from the SIGMOD Entity Resolution Programming Contests.

Andrea De Angelis, Maurizio Mazzei, Federico Piai, Paolo Merialdo, Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Donatella Firmani, Xu Chu, Peng Li, Renzhi Wu

SIGMOD Rec., June, 2023

An Adaptive Fusion Risk-Zone Detection Network and its Application.

Junyi Ma, Xuanliang Wang, Yasha Wang, Xu Chu, Junfeng Zhao

Int. J. Pattern Recognit. Artif. Intell., May, 2023

CTCD-Net: A Cross-Layer Transmission Network for Tiny Road Crack Detection.

Chong Zhang, Yang Chen, Luliang Tang, Xu Chu, Chaokui Li

Remote. Sens., April, 2023

Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method.

Yujie Feng, Jiangtao Wang, Yasha Wang, Xu Chu

ACM Trans. Comput. Heal., January, 2023

iFlipper: Label Flipping for Individual Fairness.

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

Proc. ACM Manag. Data, 2023

Ground Truth Inference for Weakly Supervised Entity Matching.

Renzhi Wu, Alexander Bendeck, Xu Chu, Yeye He

Proc. ACM Manag. Data, 2023

DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data.

Peng Li, Zhiyi Chen, Xu Chu, Kexin Rong

Proc. ACM Manag. Data, 2023

Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models.

Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2023

Graph Interpolation via Fast Fused-Gromovization.

Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

CoRR, 2023

A new class of differential quasivariational inequalities with an application to a quasistatic viscoelastic frictional contact problem.

Xu Chu, Tao Chen, Nan-jing Huang, Yi-bin Xiao

Commun. Nonlinear Sci. Numer. Simul., 2023

SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data.

Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie

Proceedings of the ACM Web Conference 2023, 2023

Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications.

Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discovering Process-Based Drivers for Case-Level Outcome Explanation.

Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu

Proceedings of the Process Mining Workshops, 2023

Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks.

Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei

Proceedings of the International Conference on Machine Learning, 2023

Learning Hyper Label Model for Programmatic Weak Supervision.

Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level.

Lianzhe Wang, Shiji Zhou, Shanghang Zhang, Xu Chu, Heng Chang, Wenwu Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words.

Yang Lin, Xin Gao, Xu Chu, Yasha Wang, Junfeng Zhao, Chao Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Single-Phase to Ground Fault Line Identification for Medium Voltage Islanded Microgrids With Neutral Ineffectively Grounded Modes.

Lili He, Yang Li, Xu Chu, Zhikang Shuai, Yelun Peng, Zheng John Shen

IEEE Trans. Smart Grid, 2022

Electrical Compensation for Magnetization Distortion of Magnetic Fluxgate Current Sensor.

Yutong Wei, Cheng Li, Wenlei Zhao, Mingyu Xue, Bin Cao, Xu Chu, Chaofeng Ye

IEEE Trans. Instrum. Meas., 2022

Defect Detection for a Vertical Shaft Surface Based on Multimodal Sensors.

Xu Chu, Luliang Tang, Fei Sun, Xi Chen, Le Niu, Chang Ren, Qingquan Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A Cluster-then-label Approach for Few-shot Learning with Application to Automatic Image Data Labeling.

Renzhi Wu, Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu

ACM J. Data Inf. Qual., 2022

M³Care: Learning with Missing Modalities in Multimodal Healthcare Data.

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

CoRR, 2022

Learned Label Aggregation for Weak Supervision.

Renzhi Wu, Shen-En Chen, Xu Chu

CoRR, 2022

MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering.

Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao

CoRR, 2022

Cost-sensitive matrixized classification learning with information entropy.

Zhe Wang, Xu Chu, Dongdong Li, Hai Yang, Weichao Qu

Appl. Soft Comput., 2022

BiTMulV: Bidirectional-Decoding Based Transformer with Multi-view Visual Representation.

Qiankun Yu, Xuekui Wang, Dong Wang, Xu Chu, Bing Liu, Peng Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

M3Care: Learning with Missing Modalities in Multimodal Healthcare Data.

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Domain Generalization through the Lens of Angular Invariance.

Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

DNA: Domain Generalization with Diversified Neural Averaging.

Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei

Proceedings of the International Conference on Machine Learning, 2022

Enhancing Robust Text Classification via Category Description.

Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao

Proceedings of the IEEE International Conference on Data Mining, 2022

A Model-Agnostic Approach for Learning with Noisy Labels of Arbitrary Distributions.

Shuang Hao, Peng Li, Renzhi Wu, Xu Chu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Research on Multi-parameter Tracking Effect Evaluation system Based on Photoelectric theodolite.

Changde Hu, Qiang Liu, Ziyang Li, Zhenyu Lu, Xu Chu, Xin Wen

Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

2021

Waveform Difference Feature-Based Protection Scheme for Islanded Microgrids.

Lili He, Zhikang Shuai, Xu Chu, Wen Huang, Yu Feng, Zheng John Shen

IEEE Trans. Smart Grid, 2021

A Joint Optimization Framework of the Embedding Model and Classifier for Meta-Learning.

Zhongyu Liu, Xu Chu, Yan Lu, Wanli Yu, Shuguang Miao, Enjie Ding

Sci. Program., 2021

Demonstration of Panda: A Weakly Supervised Entity Matching System.

Renzhi Wu, Prem Sakala, Peng Li, Xu Chu, Yeye He

Proc. VLDB Endow., 2021

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

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

Proc. VLDB Endow., 2021

Joint Accuracy and Resource Allocation for Green Federated Learning Networks.

Xu Chu, Xiaoyang Liu, Qimei Chen, Yunfei Xiong, Juanjuan Wang, Han Yu, Xiang Hu

Proceedings of the Smart Computing and Communication - 6th International Conference, 2021

FairRover: explorative model building for fair and responsible machine learning.

Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh

Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021

OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning.

Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples.

Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks.

Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Establishment of a unified data model based on OPC UA and analysis of the efficiency of communication protocol.

Weiming Tong, Xu Chu, Xiaoye Wang, Xinyi Feng, Long Pang, Jingbo Lin

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

Application of Rough Sets Conditional Information Entropy in Climatic Evaluation of Flue-Cured Tobacco Growing Areas.

Xu Chu, Yudong Yin, Dong Xue, Hechuan Zhang, Zheng Yao, Ruyan Xu

Proceedings of the EBIMCS 2021: 4th International Conference on E-Business, Information Management and Computer Science, Hong Kong, SAR, China, December 29, 2021

2020

Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions.

Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gürel, Xu Chu, Wentao Wu, Ce Zhang

Proc. VLDB Endow., 2020

ZeroER: Entity Resolution using Zero Labeled Examples.

Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan

Proceedings of the 2020 International Conference on Management of Data, 2020

GOGGLES: Automatic Image Labeling with Affinity Coding.

Nilaksh Das, Sanya Chaba, Renzhi Wu, Sakshi Gandhi, Duen Horng Chau, Xu Chu

Proceedings of the 2020 International Conference on Management of Data, 2020

Distance Metric Learning with Joint Representation Diversification.

Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong

Proceedings of the 37th International Conference on Machine Learning, 2020

Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining.

Yuanduo He, Xu Chu, Yasha Wang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Study on Classification of Flue-cured Tobacco Planting area Based on Different Clustering Analysis Methods.

Ruyan Xu, Zongyu Hu, Qiang Xu, Haiqing Chen, Shaopeng Li, Xu Chu

Proceedings of the EBIMCS 2020: 3rd International Conference on E-Business, 2020

Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation.

Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Data Cleaning.

Xu Chu

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Using the Area Ratio to Differentiate Between Benign and Malignant Breast Lesions: Ultrasound Strain Elastography versus Contrast Enhanced Ultrasound.

Lixia Zhao, Lei Zhang, Shuguang Zheng, Cheng Zhao, Hongqiao Wang, Chunhui Liu, Xu Chu

J. Medical Imaging Health Informatics, 2019

AutoER: Automated Entity Resolution using Generative Modelling.

Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan

CoRR, 2019

CleanML: A Benchmark for Joint Data Cleaning and Machine Learning [Experiments and Analysis].

Peng Li, Xi Rao, Jennifer Blase, Yue Zhang, Xu Chu, Ce Zhang

CoRR, 2019

GOGGLES: Automatic Training Data Generation with Affinity Coding.

Nilaksh Das, Sanya Chaba, Sakshi Gandhi, Duen Horng Chau, Xu Chu

CoRR, 2019

PIClean: A Probabilistic and Interactive Data Cleaning System.

Zhuoran Yu, Xu Chu

Proceedings of the 2019 International Conference on Management of Data, 2019

MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction.

Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints.

Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Data Cleaning

Ihab F. Ilyas, Xu Chu

ACM Books 28, ACM, ISBN: 978-1-4503-7152-0, 2019

2018

Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations.

Yeye He, Xu Chu, Kris Ganjam, Yudian Zheng, Vivek R. Narasayya, Surajit Chaudhuri

Proc. VLDB Endow., 2018

Multi-Label Robust Factorization Autoencoder and its Application in Predicting Drug-Drug Interactions.

Xu Chu, Yang Lin, Jingyue Gao, Jiangtao Wang, Yasha Wang, Leye Wang

CoRR, 2018

Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel.

Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek R. Narasayya, Surajit Chaudhuri, Xu Chu, Yudian Zheng

Proceedings of the 2018 International Conference on Management of Data, 2018

CAPED: Context-Aware Powerlet-Based Energy Disaggregation.

Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Characteristic Subspace Learning for Time Series Classification.

Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng

Proceedings of the IEEE International Conference on Data Mining, 2018

Mining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach.

Yuanduo He, Xu Chu, Guangju Peng, Yasha Wang, Zhu Jin, Xiaorong Wang

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Pseudonym Inference in Cooperative Vehicular Traffic Scenarios.

Xu Chu, Na Ruan, Ming Li, Weijia Jia

Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

2017

Scalable and Holistic Qualitative Data Cleaning.

Xu Chu

PhD thesis, 2017

HoloClean: Holistic Data Repairs with Probabilistic Inference.

Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher Ré

Proc. VLDB Endow., 2017

Motif-based Rule Discovery for Predicting Real-valued Time Series.

Yuanduo He, Xu Chu, Juguang Peng, Jingyue Gao, Yasha Wang

CoRR, 2017

2016

Distributed Data Deduplication.

Xu Chu, Ihab F. Ilyas, Paraschos Koutris

Proc. VLDB Endow., 2016

Qualitative Data Cleaning.

Xu Chu, Ihab F. Ilyas

Proc. VLDB Endow., 2016

Detecting Data Errors: Where are we and what needs to be done?

Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, Nan Tang

Proc. VLDB Endow., 2016

CLAMS: Bringing Quality to Data Lakes.

Mina H. Farid, Alexandra Roatis, Ihab F. Ilyas, Hella-Franziska Hoffmann, Xu Chu

Proceedings of the 2016 International Conference on Management of Data, 2016

Data Cleaning: Overview and Emerging Challenges.

Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora.

Yeye He, Kris Ganjam, Xu Chu

Proc. VLDB Endow., 2015

KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing.

Xu Chu, Mourad Ouzzani, John Morcos, Ihab F. Ilyas, Paolo Papotti, Nan Tang, Yin Ye

Proc. VLDB Endow., 2015

Trends in Cleaning Relational Data: Consistency and Deduplication.

Ihab F. Ilyas, Xu Chu

Found. Trends Databases, 2015

KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing.

Xu Chu, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, Yin Ye

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

TEGRA: Table Extraction by Global Record Alignment.

Xu Chu, Yeye He, Kaushik Chakrabarti, Kris Ganjam

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

RuleMiner: Data quality rules discovery.

Xu Chu, Ihab F. Ilyas, Paolo Papotti, Yin Ye

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

Discovering Denial Constraints.

Xu Chu, Ihab F. Ilyas, Paolo Papotti

Proc. VLDB Endow., 2013

Holistic data cleaning: Putting violations into context.

Xu Chu, Ihab F. Ilyas, Paolo Papotti

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013