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Welcome to new students Wongyu and Ziqi! Congratulations to Yaoxu for defending his M.Sc!
We are happy to have Wongyu (PhD candidate) and Ziqi (M.Eng candidate) join us at DSL! Congratulations to Yaoxu for successfully defending his M.Sc thesis on “A Parallel Algorithm for Discovering Temporal Graph Functional Dependencies”.
Jongjun presents at the QDB workshop at VLDB 2024
Jongjun presents our work on CanGene: A Data Generator to Explore the Interaction Between Anomalies and Concept Drift at the Workshop on Quality in Databases (QDB), held in conjunction with VLDB 2024 in Guangzhou, China
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Our work on temporal graph dependencies is accepted into ICDE 2023
M. Alipour Langouri, A. Mansfield, F. Chiang, Y. Wu. “Inconsistency Detection with Temporal Graph Functional Dependencies”. To appear in ICDE 2023.
Morteza’s work on mining graph keys is accepted to DaWaK’22
Discovery of Keys for Graphs, M. Alipour Langouri, F. Chiang. International Conference on Big Data Analytics and Knowledge Discovery.
Prof. Chiang to join Google Cloud Research Innovators
Excited to accelerate the impact of our work with Google cloud.
Our work on contextual data cleaning with OFDs is accepted to ACM Journal of Data and Information Quality
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.
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.