Yuan Tian

Yuan Tian

Ph.D. Candidate

Computer Science

Purdue University

About Me

Hi 👋, I am Yuan Tian. I'm currently a Ph.D. candidate in the Department of Computer Science at Purdue University, advised by Professor Tianyi Zhang.

My research involves machine learning (ML), natural language processing (NLP), and human-computer interaction (HCI). In particular, my research aims to provide more fine-grained control in AI generation, with an emphasis on coding __

Publications

ICML 2025

Selective Prompt Anchoring for Code Generation

Yuan Tian, Tianyi Zhang

Proceedings of International Conference on Machine Learning

Selective Prompt Anchoring Preview
IUI 2025

Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation

Yuan Tian, Daniel Lee, Fei Wu, Tung Mai, Kun Qian, Siddhartha Sahai, Tianyi Zhang, Yunyao Li

Proceedings of ACM Conference on Intelligent User Interfaces

Text-to-SQL Domain Adaptation Preview
UIST 2024

SQLucid: Grounding Natural Language Database Queries with Interactive Explanations

Yuan Tian, Jonathan K. Kummerfeld, Toby Jia-Jun Li, Tianyi Zhang

Proceedings of ACM User Interface Software and Technology Symposium

SQLucid Preview
TiiS 2024

Insights into Natural Language Database Query Errors: From Attention Misalignment to User Handling Strategies

Zheng Ning*, Yuan Tian*, Zheng Zhang, Tianyi Zhang, Toby Jia-Jun Li

* equal contribution

ACM Transactions on Interactive Intelligent Systems

TiiS Paper Preview
EMPIRICAL ATTENTION TEXT-TO-SQL
EMNLP 2023

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations

Yuan Tian, Zheng Zhang, Zheng Ning, Toby Jia-Jun Li, Jonathan K. Kummerfeld, Tianyi Zhang

Proceedings of Conference on Empirical Methods in Natural Language Processing

STEPS Paper Preview
GRAMMAR TEXT-TO-SQL
IUI 2023

An Empirical Study of Model Errors and User Error Discovery and Repair Strategies in Natural Language Database Queries

Zheng Ning*, Zheng Zhang*, Tianyi Sun, Yuan Tian, Tianyi Zhang, and Toby Jia-Jun Li

Proceedings of ACM Conference on Intelligent User Interfaces

IUI 2023 Paper Preview
EMPIRICAL TAXONOMY TEXT-TO-SQL