Yue Gong

Applied Scientist
Agentic AI @ AWS
Email: yuegong@uchicago.edu
Research Interests
  • Agentic AI
  • Large Language Models
  • Data Management

Hi, I am an Applied Scientist at Amazon Web Services. My work lies at the intersection of data management and machine learning, where I develop methods that help agentic systems discover, access, and reason over data more effectively. I recently completed my PhD in Computer Science at the University of Chicago, where my research focused on data discovery, data integration, and database systems.

I was a member of UChicago Chidata group supervised by Prof. Raul Catro Fernandez. Before that, I was a member of SUSTech DBgroup supervised by Prof. Bo Tang. I also used to be a research intern at ISG-Group in UCI supervised by Prof.Michael Carey and Wail Alkowaileet.

News
  • [2025-09-18] Two papers accepted to NeurIPS 2025!
  • [2025-07-17] I successfully defended my PhD thesis!
  • [2025-01-30] I pass my candidacy exam today and one paper is accepted by SIGMOD 2025!
  • [2024-04-15] I am awarded the Student Support Scholarship at SIGMOD 2024.
  • [2024-03-18] Two demo papers are accepted by SIGMOD 2024!
  • [2024-03-15] I'll join Amazon Redshift as an applied scientist intern this summer!
  • [2024-02-23] Our paper Nexus is accepted by SIGMOD 2024!
  • [2023-11-14] Pass the PhD qualifying exam and get my Master's degree!
Read More...
Publication
Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior

Yue Gong, Raul Castro Fernandez. In NeurIPS 2025
[paper] [code]

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL

Yue Gong, Chuan Lei, Xiao Qin, Kapil Vaidya, Balakrishnan Narayanaswamy, Tim Kraska. In NeurIPS 2025
[paper] [code]

Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System

Luthfi Balaka, David Alexander, Qiming Wang, Yue Gong, Adila Krisnadhi, Raul Castro Fernandez In SIGMOD 2025
[paper] [code]

Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data

Yue Gong, Sainyam Galhotra, Raul Castro Fernandez. In SIGMOD 2024
[paper] [code]

Demonstrating Nexus for Correlation Discovery over Collections Spatio-Temporal Tabular data

Yue Gong, Raul Castro Fernandez. In SIGMOD 2024 (Demo)
[paper]

Demonstration of Ver: View Discovery in the Wild

Kevin Dharmawan, Chirag Kawediya, Yue Gong, Zaki Indra Yudhistira, Zhiru Zhu, Sainyam Galhotra, Adila Alfa Krisnadhi, Raul Castro Fernandez. In SIGMOD 2024 (Demo)
[paper]

Metam: Goal-Oriented Data Discovery

Sainyam Galhotra, Yue Gong, Raul Castro Fernandez. In ICDE 2023
[paper] [code]

Ver: View Discovery in the Wild

Yue Gong*, Zhiru Zhu*, Sainyam Galhotra, Raul Castro Fernandez. In ICDE 2023
*Yue Gong and Zhiru Zhu contributed equally
[paper] [code]

Education
University of Chicago
Honor: Crerar Fellowship
Chicago, USA
University of Chicago
Passed the PhD qualifying exam
Chicago, USA
Southern University of Science and Technology
GPA: 3.88/4.00, Ranking 2/145
Honor: Summa Cum Laude
Shenzhen, China
Experience
Amazon Web Services
Applied Scientist Intern | Learned Systems Group @ Redshift
Santa Clara, CA
TikTok/Bytedance
Research Intern | Technical Infrastructure Lab
Mountain View, CA
Tencent
Software Engineering Intern | Tencent Ads
Shenzhen, Guangdong
University of California, Irvine
Research Assistant | The Information Systems Group
Irvine, CA