Fei Chiang

According to our database, Fei Chiang authored at least 52 papers between 2007 and 2024.

Collaborative distances:

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

2024

Mining Keys for Graphs.

Morteza Alipourlangouri, Fei Chiang

Data Knowl. Eng., 2024

Evaluating SQL Understanding in Large Language Models.

Ananya Rahaman, Anny Zheng, Mostafa Milani, Fei Chiang, Rachel Pottinger

CoRR, 2024

A Data Generator to Explore the Interactions Between Concept Drifts and Anomalies [Demo].

Jongjun Park, Akanksha Nehete, Tammy Zeng, Fei Chiang

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

2023

Data Anonymization With Diversity Constraints.

Mostafa Milani, Yu Huang, Fei Chiang

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

Inconsistency Detection with Temporal Graph Functional Dependencies.

Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Will my Flight be on Time? Learning from Part Failures to Predict Future Reliability.

Jongjun Park, Fei Chiang, Eduardo Correia Da Silva, Kevin Lytwyn, Stephen Veldhuis

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Contextual Data Cleaning with Ontology Functional Dependencies.

Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta, Sridevi Baskaran

ACM J. Data Inf. Qual., 2022

Discovery of Keys for Graphs [Extended Version].

Morteza Alipour Langouri, Fei Chiang

CoRR, 2022

Confidence Bounded Replica Currency Estimation.

Yu Sun, Zheng Zheng, Shaoxu Song, Fei Chiang

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Efficient Action Recognition Using Confidence Distillation.

Shervin Manzuri Shalmani, Fei Chiang, Rong Zheng

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Discovery of Keys for Graphs.

Morteza Alipour Langouri, Fei Chiang

Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

2021

Temporal Graph Functional Dependencies - Technical Report.

Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu

CoRR, 2021

Discovery and Contextual Data Cleaning with Ontology Functional Dependencies.

Zheng Zheng, Longtao Zheng, Morteza Alipour Langouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta

CoRR, 2021

Preserving Diversity in Anonymized Data.

Mostafa Milani, Yu Huang, Fei Chiang

Proceedings of the 24th International Conference on Extending Database Technology, 2021

Discovery of Temporal Graph Functional Dependencies.

Levin Noronha, Fei Chiang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Privacy-aware data cleaning-as-a-service.

Yu Huang, Mostafa Milani, Fei Chiang

Inf. Syst., 2020

Privacy-Aware Data Cleaning-as-a-Service (Extended Version).

Yu Huang, Mostafa Milani, Fei Chiang

CoRR, 2020

Diversifying Anonymized Data with Diversity Constraints.

Mostafa Milani, Yu Huang, Fei Chiang

CoRR, 2020

2019

Ontology-based Entity Matching in Attributed Graphs.

Hanchao Ma, Morteza Alipour Langouri, Yinghui Wu, Fei Chiang, Jiaxing Pi

Proc. VLDB Endow., 2019

Restoring Consistency in Ontological Multidimensional Data Models via Weighted Repairs.

Enamul Haque, Fei Chiang

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

CurrentClean: Spatio-Temporal Cleaning of Stale Data.

Mostafa Milani, Zheng Zheng, Fei Chiang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

CurrentClean: Interactive Change Exploration and Cleaning of Stale Data.

Zheng Zheng, Tri Minh Quach, Ziyi Jin, Fei Chiang, Mostafa Milani

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

2018

InfoClean: Protecting Sensitive Information in Data Cleaning.

Fei Chiang, Dhruv Gairola

ACM J. Data Inf. Qual., 2018

Contextual Data Cleaning.

Morteza Alipour Langouri, Zheng Zheng, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta

Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

FastOFD: Contextual Data Cleaning with Ontology Functional Dependencies.

Zheng Zheng, Morteza Alipour, Zhi Qu, Ian Currie, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta

Proceedings of the 21st International Conference on Extending Database Technology, 2018

PACAS: Privacy-Aware, Data Cleaning-as-a-Service.

Yu Huang, Mostafa Milani, Fei Chiang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Refining Duplicate Detection for Improved Data Quality.

Yu Huang, Fei Chiang

Proceedings of the Joint Proceedings of the 1st Workshop on Temporal Dynamics in Digital Libraries (TDDL 2017), 2017

Privacy aware web services in the cloud.

Farshad Rahimi Asl, Fei Chiang, Wenbo He, Reza Samavi

Proceedings of the 2017 IEEE Conference on Communications and Network Security, 2017

Efficient Discovery of Ontology Functional Dependencies.

Sridevi Baskaran, Alexander Keller, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Quantifying duplication to improve data quality.

Yu Huang, Fei Chiang, Albert Maier, Martin Petitclerc, Yannick Saillet, Damir Spisic, Calisto Zuzarte

Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, 2017

2016

Data Driven Discovery of Attribute Dictionaries.

Fei Chiang, Periklis Andritsos, Renée J. Miller

Trans. Comput. Collect. Intell., 2016

Unifying Data and Constraint Repairs.

Fei Chiang, Siddharth Sitaramachandran

ACM J. Data Inf. Qual., 2016

Efficient Discovery of Ontology Functional Dependencies.

Sridevi Baskaran, Alexander Keller, Fei Chiang, Jaroslaw Szlichta

CoRR, 2016

PARC: Privacy-Aware Data Cleaning.

Dejun Huang, Dhruv Gairola, Yu Huang, Zheng Zheng, Fei Chiang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Combining Quantitative and Logical Data Cleaning.

Nataliya Prokoshyna, Jaroslaw Szlichta, Fei Chiang, Renée J. Miller, Divesh Srivastava

Proc. VLDB Endow., 2015

Towards a Unified Framework for Data Cleaning and Data Privacy.

Yu Huang, Fei Chiang

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

A Data Quality Framework for Customer Relationship Analytics.

Fei Chiang, Siddharth Sitaramachandran

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

2014

Repairing integrity rules for improved data quality.

Fei Chiang, Yu Wang

Int. J. Inf. Qual., 2014

Models for Distributed, Large Scale Data Cleaning.

Vincent J. Maccio, Fei Chiang, Douglas G. Down

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Continuous data cleaning.

Maksims Volkovs, Fei Chiang, Jaroslaw Szlichta, Renée J. Miller

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

CONDOR: A System for CONstraint DiscOvery and Repair.

Joshua Segeren, Dhruv Gairola, Fei Chiang

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

An Algebraic Approach Towards Data Cleaning.

Ridha Khédri, Fei Chiang, Khair Eddin Sabri

Proceedings of the 4th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2013) and the 3rd International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH), 2013

2012

Data Quality Through Active Constraint Discovery and Maintenance.

Fei Chiang

PhD thesis, 2012

Automated dictionary discovery for the online marketplace.

Fei Chiang, Renée J. Miller

Proceedings of the iConference 2012, Toronto, Ontario, Canada, February 7-10, 2012, 2012

AutoDict: Automated Dictionary Discovery.

Fei Chiang, Periklis Andritsos, Erkang Zhu, Renée J. Miller

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011

Active repair of data quality rules.

Fei Chiang, Renée J. Miller

Proceedings of the 16th International Conference on Information Quality, 2011

A unified model for data and constraint repair.

Fei Chiang, Renée J. Miller

Proceedings of the 27th International Conference on Data Engineering, 2011

2009

Framework for Evaluating Clustering Algorithms in Duplicate Detection.

Oktie Hassanzadeh, Fei Chiang, Renée J. Miller, Hyun Chul Lee

Proc. VLDB Endow., 2009

2008

Discovering data quality rules.

Fei Chiang, Renée J. Miller

Proc. VLDB Endow., 2008

An xml index advisor for DB2.

Iman Elghandour, Ashraf Aboulnaga, Daniel C. Zilio, Fei Chiang, Andrey Balmin, Kevin S. Beyer, Calisto Zuzarte

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

XML Index Recommendation with Tight Optimizer Coupling.

Iman Elghandour, Ashraf Aboulnaga, Daniel C. Zilio, Fei Chiang, Andrey Balmin, Kevin S. Beyer, Calisto Zuzarte

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

Seeking Stable Clusters in the Blogosphere.

Nilesh Bansal, Fei Chiang, Nick Koudas, Frank Wm. Tompa

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007