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PhD Candidate, Computer Science and Engineering

University of Michigan

Biography

Tianji Cong is a Ph.D. candidate at the University of Michigan Computer Science & Engineering Division. He is advised by Professor H. V. Jagadish and affiliated with the Database Research Group. His research interest falls at the intersection of deep learning and data management for structured and semi-structured data. The line of work he is pushing forward revolves around representation learning for tabular data discovery, semantics understanding, and database performance optimization.

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 🔥

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[3/7/24] Selected to receive a Rackham Predoctoral Fellowship.

[2/12/24] Thrilled to announce the lanuch of TurboCurator by ICPSR, a metadata recommendation tool I prototyped for enhancing metadata quality. Many thanks to the TurboCurator product team for the fruitful collaboration.

[2/1/24] Excited to join Kurve as technology consultant on a part-time basis and work with Wes Madrigal on shaping the product.

[1/12/24] Nominated by the CSE division for the Rackham Predoctoral Fellowship.

[12/15/23] Selected as distinguished reviewer (7/44) of the Table Representation Learning Workshop at NeurIPS 2023.

[12/15/23] Presented Observatory Library at the New Orleans Ernest N. Morial Convention Center.

[11/16/23] Our paper Observatory accepted to VLDB 2024.

[11/03/23] Nominated by the CSE division for the Two Sigma PhD Fellowship (2023-2024 Cycle).

Publication
(* indicates co-first author)

Introducing the Observatory Library for End-to-End Table Embedding Inference

October 2023 The 2nd Table Representation Learning Workshop of NeurIPS 2023 (TRL@NeurIPS'23)
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Observatory: Characterizing Embeddings of Relational Tables

August 2023 The 50th International Conference on Very Large Databases (VLDB 2024)
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WarpGate: A Prototype System for Semantic Join Discovery over Cloud Data Warehouses

September 2022 The 13th Conference on Innovative Data Systems Research (CIDR 2023)
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Pylon: Semantic Table Union Search in Data Lakes

July 2022 Arxiv
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Can Attention Masks Improve Adversarial Robustness?

November 2019 The AAAI-20 Workshop on Engineering Dependable and Secure Machine Learning Systems (AAAI-EDSMLS 2020)
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