Biography
Tianji Cong is a Ph.D. candidate and a Rackham Predoctoral Fellow at the University of Michigan. He is advised by Professor H. V. Jagadish and affiliated with the Database Research Group. His research interest falls at the intersection of data management and representation learning for structured and semi-structured data. The line of work he has been pushing forward revolves around building a semantic layer over data stores to make data findable and (re)usable.
Interests
- Data Management
- Representation Learning
Education
Ph.D. in Computer Science and Engineering, 2025 (Expected)
University of Michigan
B.S. with Distinction in Computer Science and Honors Mathematics (Double Major), 2020
University of Michigan
Recent News
Featured Publication
(2023).
Observatory: Characterizing Embeddings of Relational Tables.
In VLDB 2024.
(2022).
WarpGate: A Prototype System for Semantic Join Discovery over Cloud Data Warehouses.
In CIDR 2023.
(2022).
Pylon: Semantic Table Union Search in Data Lakes.
Arxiv.