Seeking Stable Clusters in the Blogosphere. - Nilesh Bansal; Fei Chiang; Nick Koudas; Frank Wm. Tompa (VLDB, 2007)

XML Index Recommendation with Tight Optimizer Coupling. - Iman Elghandour; Ashraf Aboulnaga; Daniel C. Zilio; Fei Chiang; Andrey Balmin; Kevin S. Beyer; Calisto Zuzarte (ICDE, 2008)

An xml index advisor for DB2. - Iman Elghandour; Ashraf Aboulnaga; Daniel C. Zilio; Fei Chiang; Andrey Balmin; Kevin S. Beyer; Calisto Zuzarte (SIGMOD Conference, 2008)

Discovering data quality rules. - Fei Chiang; Renée J. Miller (Proc. VLDB Endow., 2008)

Framework for Evaluating Clustering Algorithms in Duplicate Detection. - Oktie Hassanzadeh; Fei Chiang; Renée J. Miller; Hyun Chul Lee (Proc. VLDB Endow., 2009)

A unified model for data and constraint repair. - Fei Chiang; Renée J. Miller (ICDE, 2011)

Active repair of data quality rules. - Fei Chiang; Renée J. Miller (ICIQ, 2011)

AutoDict: Automated Dictionary Discovery. - Fei Chiang; Periklis Andritsos; Erkang Zhu; Renée J. Miller (ICDE, 2012)

Automated dictionary discovery for the online marketplace. - Fei Chiang; Renée J. Miller (iConference, 2012)

Data Quality Through Active Constraint Discovery and Maintenance. - Fei Chiang (2012)

An Algebraic Approach Towards Data Cleaning. - Ridha Khédri; Fei Chiang; Khair Eddin Sabri (EUSPN/ICTH, 2013)

CONDOR: A System for CONstraint DiscOvery and Repair. - Joshua Segeren; Dhruv Gairola; Fei Chiang (CIKM, 2014)

Continuous data cleaning. - Maksims Volkovs; Fei Chiang; Jaroslaw Szlichta; Renée J. Miller (ICDE, 2014)

Models for Distributed, Large Scale Data Cleaning. - Vincent J. Maccio; Fei Chiang; Douglas G. Down (PAKDD Workshops, 2014)

Repairing integrity rules for improved data quality. - Fei Chiang; Yu Wang 039 (Int. J. Inf. Qual., 2014)

A Data Quality Framework for Customer Relationship Analytics. - Fei Chiang; Siddharth Sitaramachandran (WISE (2), 2015)

Towards a Unified Framework for Data Cleaning and Data Privacy. - Yu Huang 019; Fei Chiang (WISE (2), 2015)

Combining Quantitative and Logical Data Cleaning. - Nataliya Prokoshyna; Jaroslaw Szlichta; Fei Chiang; Renée J. Miller; Divesh Srivastava (Proc. VLDB Endow., 2015)

PARC: Privacy-Aware Data Cleaning. - Dejun Huang; Dhruv Gairola; Yu Huang 019; Zheng Zheng 005; Fei Chiang (CIKM, 2016)

Efficient Discovery of Ontology Functional Dependencies. - Sridevi Baskaran; Alexander Keller 003; Fei Chiang; Jaroslaw Szlichta (CoRR, 2016)

Unifying Data and Constraint Repairs. - Fei Chiang; Siddharth Sitaramachandran (ACM J. Data Inf. Qual., 2016)

Data Driven Discovery of Attribute Dictionaries. - Fei Chiang; Periklis Andritsos; Renée J. Miller (Trans. Comput. Collect. Intell., 2016)

Quantifying duplication to improve data quality. - Yu Huang 019; Fei Chiang; Albert Maier; Martin Petitclerc; Yannick Saillet; Damir Spisic; Calisto Zuzarte (CASCON, 2017)

Efficient Discovery of Ontology Functional Dependencies. - Sridevi Baskaran; Alexander Keller 003; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta (CIKM, 2017)

Privacy aware web services in the cloud. - Farshad Rahimi Asl; Fei Chiang; Wenbo He; Reza Samavi (CNS, 2017)

Refining Duplicate Detection for Improved Data Quality. - Yu Huang 019; Fei Chiang (TDDL/MDQual/Futurity@TPDL, 2017)

PACAS: Privacy-Aware, Data Cleaning-as-a-Service. - Yu Huang 019; Mostafa Milani; Fei Chiang (IEEE BigData, 2018)

FastOFD: Contextual Data Cleaning with Ontology Functional Dependencies. - Zheng Zheng 005; Morteza Alipour; Zhi Qu; Ian Currie; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta (EDBT, 2018)

Contextual Data Cleaning. - Morteza Alipour Langouri; Zheng Zheng 005; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta (ICDE Workshops, 2018)

InfoClean: Protecting Sensitive Information in Data Cleaning. - Fei Chiang; Dhruv Gairola (ACM J. Data Inf. Qual., 2018)

CurrentClean: Interactive Change Exploration and Cleaning of Stale Data. - Zheng Zheng 005; Tri Minh Quach; Ziyi Jin; Fei Chiang; Mostafa Milani (CIKM, 2019)

CurrentClean: Spatio-Temporal Cleaning of Stale Data. - Mostafa Milani; Zheng Zheng 005; Fei Chiang (ICDE, 2019)

Restoring Consistency in Ontological Multidimensional Data Models via Weighted Repairs. - Enamul Haque; Fei Chiang (KES, 2019)

Ontology-based Entity Matching in Attributed Graphs. - Hanchao Ma; Morteza Alipour Langouri; Yinghui Wu 001; Fei Chiang; Jiaxing Pi (Proc. VLDB Endow., 2019)

Diversifying Anonymized Data with Diversity Constraints. - Mostafa Milani; Yu Huang 019; Fei Chiang (CoRR, 2020)

Privacy-Aware Data Cleaning-as-a-Service (Extended Version). - Yu Huang 019; Mostafa Milani; Fei Chiang (CoRR, 2020)

Privacy-aware data cleaning-as-a-service. - Yu Huang 019; Mostafa Milani; Fei Chiang (Inf. Syst., 2020)

Discovery of Temporal Graph Functional Dependencies. - Levin Noronha; Fei Chiang (CIKM, 2021)

Preserving Diversity in Anonymized Data. - Mostafa Milani; Yu Huang 019; Fei Chiang (EDBT, 2021)

Discovery and Contextual Data Cleaning with Ontology Functional Dependencies. - Zheng Zheng 005; Longtao Zheng; Morteza Alipour Langouri; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta (CoRR, 2021)

Temporal Graph Functional Dependencies - Technical Report. - Morteza Alipour Langouri; Adam Mansfield; Fei Chiang; Yinghui Wu 001 (CoRR, 2021)

Discovery of Keys for Graphs. - Morteza Alipour Langouri; Fei Chiang (DaWaK, 2022)

Efficient Action Recognition Using Confidence Distillation. - Shervin Manzuri Shalmani; Fei Chiang; Rong Zheng 001 (ICPR, 2022)

Confidence Bounded Replica Currency Estimation. - Yu Sun 027; Zheng Zheng 005; Shaoxu Song; Fei Chiang (SIGMOD Conference, 2022)

Discovery of Keys for Graphs [Extended Version]. - Morteza Alipour Langouri; Fei Chiang (CoRR, 2022)

Contextual Data Cleaning with Ontology Functional Dependencies. - Zheng Zheng 005; Longtao Zheng; Morteza Alipour Langouri; Fei Chiang; Lukasz Golab; Jaroslaw Szlichta; Sridevi Baskaran (ACM J. Data Inf. Qual., 2022)

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 (IEEE Big Data, 2023)

Inconsistency Detection with Temporal Graph Functional Dependencies. - Morteza Alipour Langouri; Adam Mansfield; Fei Chiang; Yinghui Wu 001 (ICDE, 2023)

Data Anonymization With Diversity Constraints. - Mostafa Milani; Yu Huang 019; Fei Chiang (IEEE Trans. Knowl. Data Eng., 2023)

A Data Generator to Explore the Interactions Between Concept Drifts and Anomalies [Demo]. - Jongjun Park; Akanksha Nehete; Tammy Zeng; Fei Chiang (VLDB Workshops, 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 (EDBT, 2025)

Vertical Federated Learning Across Second-Hop Parties. - Zikai Dou; Fei Chiang (PAKDD (2), 2025)

Adaptive Anomaly Detection in the Presence of Concept Drift: Extended Report. - Jongjun Park; Fei Chiang; Mostafa Milani (CoRR, 2025)