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I am a second-year PhD student in computer science at New York University,
where I am fortunate to be advised by Prof. Juliana Freire.
I also had the pleasure of collaborating with Prof. Christopher Musco and Prof. Chinmay Hegde.
I am broadly interested in data-centric aspects of AI, especially large language models for data integration.
My research also involves table representation learning.
Previously, I jointly pursued an Honors B.S. in Computer Science and an Honors B.A. in Mathematics at the University of Rochester in 2023,
where I am pleased to have worked with
Prof. Fatemeh Nargesian, Prof. Jiebo Luo,
and Prof. Daniel Štefankovič.
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"You can recognize truth by its beauty and simplicity." -- Richard Feynman.
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| 04-2025 |
Our paper on LLMs for schema matching is accepted to VLDB 2025! |
| 01-2025 |
I'll join Data Systems Group at Microsoft Research as a Research Intern this summer!
See you in Seattle! |
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Publications
(* = equal contribution; (α-β) = alphabetical order)
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AutoDDG: Automated Dataset Description Generation using Large Language Models
Haoxiang Zhang, Yurong Liu, Wei-Lun (Allen) Hung, Aécio Santos, Juliana Freire
In Submission
[paper] [code]
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Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values
Yurong Liu*, R. Teal Witter*, Flip Korn, Tarfah Alrashed, Dimitris Paparas, Christopher Musco, Juliana Freire
In Submission
[paper] [code]
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Magneto: Combining Small and Large Language Models for Schema Matching
Yurong Liu*, Eduardo Pena*, Aécio Santos, Eden Wu, Juliana Freire
VLDB, 2025
[paper] [code]
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Large Language Models for Data Discovery and Integration: Challenges and Opportunities
(α-β) Juliana Freire, Grace Fan, Benjamin Feuer, Christos Koutras, Yurong Liu, Eduardo Pena, Aécio Santos, Cláudio Silva, Eden Wu
IEEE Data Engineering Bulletin, 2025
[paper]
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Enhancing Biomedical Schema Matching with LLM-based Training Data Generation
Yurong Liu, Aécio Santos, Eduardo H. M. Pena, Roque Lopez, Eden Wu, Juliana Freire
TRL@NeurIPS, 2024
[paper]
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ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models
Benjamin Feuer, Yurong Liu, Chinmay Hegde, Juliana Freire
VLDB, 2024 [paper] [code]
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Sampling over Union of Joins
Yurong Liu*, Yunlong Xu*, Fatemah Nargesian
SIGMOD, 2023 (Companion) [paper]
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Google Research
Student Researcher, May 2024 - Aug 2024.
Advisor: Flip Korn.
Worked on dataset search and game-theoretic explainable AI.
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Misc
Outside of research, I am an amateur basketball player 🏀 and ACG lover 👾.
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