Ningzhi Tang

16 papers A* 2A 1B 3Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Lessons from Real-World Deployment of a Cognition-Preserving Writing Tool: Students Actively Engage with Critical Thinking and Planning Affordances.
CoRR
Yinuo Yang, Zheng Zhang, Ningzhi Tang, Xu Wang, Alex Ambrose, Nathaniel Myers, Patrick Clauss, Toby Jia-Jun Li
2025 A conf
Enabling Memory-Efficient On-Device Learning via Dataset Condensation.
DATE
Gelei Xu, Ningzhi Tang, Jun Xia, Ruiyang Qin, Wei Jin, Yiyu Shi
2025 B conf
Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification.
VL/HCC
Ningzhi Tang, Emory Smith, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2025 J jnl
Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification.
CoRR
Ningzhi Tang, Emory Smith, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2025 J jnl
NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation.
CoRR
Ningzhi Tang, David Meininger, Gelei Xu, Yiyu Shi, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2025 J jnl
Programmer Visual Attention During Context-Aware Code Summarization.
IEEE Trans. Software Eng.
Robert Wallace, Aakash Bansal, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2024 J jnl
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions.
CoRR
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 — conf
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE.
ICSE Companion
Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 B conf
Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking.
VL/HCC
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 J jnl
Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation.
CoRR
Gelei Xu, Ningzhi Tang, Jun Xia, Wei Jin, Yiyu Shi
2024 J jnl
Programmer Visual Attention During Context-Aware Code Summarization.
CoRR
Aakash Bansal, Robert Wallace, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2024 B conf
Towards Effective Validation and Integration of LLM-Generated Code.
VL/HCC
Ningzhi Tang
2023 A* conf
Semi-decentralized Federated Ego Graph Learning for Recommendation.
WWW
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
2023 J jnl
Semi-decentralized Federated Ego Graph Learning for Recommendation.
CoRR
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin
2022 A* conf
Single-shot Embedding Dimension Search in Recommender System.
SIGIR
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin
2022 J jnl
Single-shot Embedding Dimension Search in Recommender System.
CoRR
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin