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Our work on contextual data cleaning with OFDs is accepted to ACM Journal of Data and Information Quality

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Z. Zheng, L. Zheng, M. Alipour Langouri, F. Chiang, L. Golab, J. Szlichta, S. Baskaran, A. Keller. “Contextual Data Cleaning with Ontology Functional Dependencies.” In ACM JDIQ, 2022.

PhD positions available for Fall 2022.

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PhD positions are available for Sept 2022 in data quality, temporal graphs, profiling data streams, and machine learning.  Candidates are expected to have a B.Sc and/or M.Sc in computer science or similar discipline with a strong foundation in databases, data systems, statistics, and machine learning.  Strong programming skills are required.  Application materials include CV, transcripts, statement of interest, including description of relevant experience and papers.

Our joint work on replica currency estimation is accepted to SIGMOD’22.

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Y. Sun, Z. Zheng, S. Song, F. Chiang. “Confidence Bounded Replica Currency Estimation”. In SIGMOD 2022. (To appear)

Our work on diversity in data anonymization is accepted to TKDE.

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M. Milani, Y. Huang, F. Chiang. “Data Anonymization with Diversity Constraints”. TKDE 2021. (To appear)

Welcome new students!

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Welcome to new students Zikai, Zhikang, Jongjun, and Lejia to our group!

Congrats to Yu on finishing his PhD

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Congratulations to Yu on finishing his PhD! We will miss you in the group. Looking forward to seeing what comes next!