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Ningzhi Tang

Orcid: 0000-0002-8555-2351

According to our database¹, Ningzhi Tang authored at least 17 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions.

[DOI]

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Collin McMillan

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Toby Jia-Jun Li

CoRR, May, 2026

An Empirical Study of Agent Skills for Healthcare: Practice, Gaps, and Governance.

[DOI]

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Toby Jia-Jun Li

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CoRR, May, 2026

Programming by Chat: A Large-Scale Behavioral Analysis of 11,579 Real-World AI-Assisted IDE Sessions.

[DOI]

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Collin McMillan

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Toby Jia-Jun Li

CoRR, April, 2026

Lessons from Real-World Deployment of a Cognition-Preserving Writing Tool: Students Actively Engage with Critical Thinking and Planning Affordances.

[DOI]

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Nathaniel Myers

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Toby Jia-Jun Li

CoRR, March, 2026

A comprehensive survey of AI agents in healthcare.

[DOI]

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Toby Jia-Jun Li

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J. Biomed. Informatics, 2026

2025

NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation.

[DOI]

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David Meininger

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Collin McMillan

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Toby Jia-Jun Li

CoRR, October, 2025

Programmer Visual Attention During Context-Aware Code Summarization.

[DOI]

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Toby Jia-Jun Li

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Collin McMillan

IEEE Trans. Software Eng., May, 2025

Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification.

[DOI]

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Collin McMillan

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Toby Jia-Jun Li

Proceedings of the 2025 IEEE Symposium on Visual Languages and Human-Centric Computing, 2025

Enabling Memory-Efficient On-Device Learning via Dataset Condensation.

[DOI]

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Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

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

[DOI]

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Collin McMillan

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Toby Jia-Jun Li

Dataset, January, 2024

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

[DOI]

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CoRR, 2024

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

[DOI]

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Collin McMillan

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Toby Jia-Jun Li

CoRR, 2024

Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking.

[DOI]

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Collin McMillan

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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.

[DOI]

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.

[DOI]

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,

,

,

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Collin McMillan

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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.

[DOI]

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Quoc Viet Hung Nguyen

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Proceedings of the ACM Web Conference 2023, 2023

2022

Single-shot Embedding Dimension Search in Recommender System.

[DOI]

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

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