🌟 Bio
I am a Ph.D. student in Computer Science at Purdue University, advised by Prof. Tianyi Zhang.
My research interest lies in how to better leverage LLMs to generate code. Standing at the intersection of SE, HCI, and AI, I want to build reliable and helpful code generation systems for users. Specifically, I have three main research goals:
-
developing trustworthy evaluation methods for code generation
-
detecting and mitigating hallucinations in LLM-generated code
-
designing user-friendly interfaces and novel interaction techniques to help users with different backgrounds use code generation tools.
🔥 News
- Jan. 2025: Our paper on LLM-based data wrangling system has been accepted to CHI 2025. See you in Yokohama!
- Sep. 2024: Our work on using LLMs to evaluate code generation has been accepted to EMNLP 2024. Many thanks to Prof. Zhang!
📝 Publications
Dango: A Mixed-Initiative Data Wrangling System using Large Language Model
Wei-Hao Chen, Weixi Tong, Amanda Case, Tianyi Zhang.
ACM Conference on Human Factors in Computing Systems (CHI), 2025
CodeJudge: Evaluating Code Generation with Large Language Models
Weixi Tong, Tianyi Zhang.
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
🎖 Honors and Awards
- Nov. 2023 AI Education Base Scholarship 2023, Huawei Technologies Co., Ltd.
- Nov. 2022 AI Education Base Scholarship 2022, Huawei Technologies Co., Ltd.
📖 Educations
- Aug. 2025 - Present, Ph.D. Student in Computer Science, Purdue University.
- Sep. 2021 - Jun. 2025, B.S. in Computer Science and Technology, Huazhong University of Science and Technology (HUST), China.