Yurong Liu
Yurong Liu (刘雨绒)
Ph.D. Student, VIDA Center
Department of Computer Science, New York University

Email: yurong.liu [at] nyu [dot] edu
Office: 370 Jay Street, 11th floor
Biography

I am a third-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. 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.

I am broadly interested in data management, particularly applying large language models to data discovery and integration tasks, with emphasis on post-training methods and agentic frameworks.

Publications (* = equal contribution)
BDI-Kit Demo: A Toolkit for Programmable and Conversational Data Harmonization
Roque Lopez, Yurong Liu, Christos Koutras, Juliana Freire
SIGMOD 2026 (Demo)   [paper] [code]
AutoDDG: Automated Dataset Description Generation using Large Language Models
Haoxiang Zhang*, Yurong Liu*, Wei-Lun (Allen) Hung, Aécio Santos, Juliana Freire
SIGMOD 2026   [paper] [code]
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
R. Teal Witter, Yurong Liu, Christopher Musco
NeurIPS 2025   [paper] [code] [blog]
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
Under review at TMLR   [paper] [code]
Magneto: Combining Small and Large Language Models for Schema Matching
Yurong Liu*, Eduardo Pena*, Aécio Santos, Eden Wu, Juliana Freire
VLDB 2025   [paper] [code]
Large Language Models for Data Discovery and Integration: Challenges and Opportunities
Juliana Freire, Grace Fan, Benjamin Feuer, Christos Koutras, Yurong Liu, Eduardo Pena, Aécio Santos, Cláudio Silva, Eden Wu
IEEE Data Engineering Bulletin 2025   [paper]
Enhancing Biomedical Schema Matching with LLM-based Training Data Generation
Yurong Liu, Aécio Santos, Eduardo H. M. Pena, Roque Lopez, Eden Wu, Juliana Freire
NeurIPS 2024 Third Table Representation Learning Workshop   [paper]
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]
Sampling over Union of Joins
Yurong Liu*, Yunlong Xu*, Fatemah Nargesian
SIGMOD 2023 (SRC)   [paper]
Experience
Google Research
Student Researcher, Summer 2026.
Advisor: Dr. Jiani Zhang
Work on deep data research at System Research Group.
Microsoft Research
Researcher Intern, Summer 2025.
Advisor: Dr. Yeye He
Worked on large language models for data preparation at the Data Systems Group.
Google Research
Student Researcher, Summer 2024.
Advisor: Dr. Flip Korn
Worked on dataset search and game-theoretic explainable AI.
Misc

Outside of research, I am an amateur basketball player 🏀 and ACG lover. My favorite anime are One Piece, Gintama, and Cowboy Bebop. Recently, I've also really enjoyed Vinland Saga: Season 1.