Ningzhi Tang

According to our database, Ningzhi Tang authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Programmer Visual Attention During Context-Aware Code Summarization.

Aakash Bansal, Robert Wallace, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan

CoRR, 2024

Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation.

Gelei Xu, Ningzhi Tang, Jun Xia, Wei Jin, Yiyu Shi

CoRR, 2024

A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions.

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

CoRR, 2024

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, Toby Jia-Jun Li

Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

Towards Effective Validation and Integration of LLM-Generated Code.

Ningzhi Tang

Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

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

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

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

Semi-decentralized Federated Ego Graph Learning for Recommendation.

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

Proceedings of the ACM Web Conference 2023, 2023

2022

Single-shot Embedding Dimension Search in Recommender System.

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022