I am a 2nd-year Ph.D. student in the Department of Computer Science and Engineering at the University of Notre Dame, where I am advised by Prof. Toby Jia-Jun Li in the SaNDwich Lab. Before joining Notre Dame, I received my B.Eng. degree in the same department at Southern University of Science and Technology (SUSTech), where I conducted research on recommender systems under the guidance of Prof. Yuhui Shi.

My research interests converge at the intersection of Human-Computer Interaction (HCI), Software Engineering (SE) and Artificial Intelligence (AI). I am dedicated to creating human-centered tools that empower developers in critical areas such as code comprehension, debugging, and education. Additionally, I am keen on investigating the novel challenges and opportunities presented by large language models, and on designing tools that effectively address these emerging issues.

I am actively seeking research internship opportunities in the industry for Summer 2025. If you know of any suitable opportunities, please feel free to reach out!

Selected Publications

(* indicates equal contributions)
Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking

Ningzhi Tang*, Meng Chen*, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, and Toby Jia-Jun Li

VL/HCC 2024

PDF | IEEE Xplore | Slides

Towards Effective Validation and Integration of LLM-Generated Code

Ningzhi Tang

VL/HCC 2024: Graduate Consortium

PDF | IEEE Xplore | Slides | Poster

CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE

Ningzhi Tang*, Junwen An*, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, and Toby Jia-Jun Li

ICSE 2024: Demonstrations

PDF | ACM DL | Website | GitHub | Video | Slides

An Empirical Study of Developer Behaviors for Validating and Repairing AI-Generated Code

Ningzhi Tang*, Meng Chen*, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, and Toby Jia-Jun Li

PLATEAU 2023

PDF | CMU KiltHub

Semi-decentralized Federated Ego Graph Learning for Recommendation

Liang Qu*, Ningzhi Tang*, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, and Hongzhi Yin

WWW 2023

PDF | ACM DL

Single-shot Embedding Dimension Search in Recommender System

Liang Qu*, Yonghong Ye*, Ningzhi Tang, Lixin Zhang, Yuhui Shi, and Hongzhi Yin

SIGIR 2022

PDF | ACM DL