Shidong Pan

Orcid: 0000-0002-2162-0407

According to our database1, Shidong Pan authored at least 25 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Deployability-Centric Infrastructure-as-Code Generation: An LLM-based Iterative Framework.
CoRR, June, 2025

Right to be forgotten in the Era of large language models: implications, challenges, and solutions.
AI Ethics, June, 2025

Multilingual Prompting for Improving LLM Generation Diversity.
CoRR, May, 2025

Automated Knot Detection and Pairing for Wood Analysis in the Timber Industry.
CoRR, May, 2025

Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-Tail Software Through Feature Inference.
IEEE Trans. Software Eng., February, 2025

Privacy Bills of Materials: A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development.
CoRR, January, 2025

Privacy Bills of Materials (PriBOM): A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development.
Proc. Priv. Enhancing Technol., 2025

An analysis of privacy regulations and user concerns of finance mobile applications.
Inf. Softw. Technol., 2025

A Big Step Forward? A User-Centric Examination of iOS App Privacy Report and Enhancements.
Proceedings of the IEEE Symposium on Security and Privacy, 2025

Privacy Meets Explainability: Managing Confidential Data and Transparency Policies in LLM-Empowered Science.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024
$\mathbf{A^{3}}$A3-CodGen: A Repository-Level Code Generation Framework for Code Reuse With Local-Aware, Global-Aware, and Third-Party-Library-Aware.
IEEE Trans. Software Eng., December, 2024

To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods.
AI Ethics, February, 2024

<i>"I Don't Use AI for Everything"</i>: Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development.
CoRR, 2024

A Solution toward Transparent and Practical AI Regulation: Privacy Nutrition Labels for Open-source Generative AI-based Applications.
CoRR, 2024

Automatically Analyzing Performance Issues in Android Apps: How Far Are We?
CoRR, 2024

A Large-scale Investigation of Semantically Incompatible APIs behind Compatibility Issues in Android Apps.
CoRR, 2024

Don't Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference.
CoRR, 2024

Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile Apps.
Proceedings of the 33rd USENIX Security Symposium, 2024

A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation.
Proceedings of the 33rd USENIX Security Symposium, 2024

2023
Context-Aware Code Generation Framework for Code Repositories: Local, Global, and Third-Party Library Awareness.
CoRR, 2023

Test-takers have a say: understanding the implications of the use of AI in language tests.
CoRR, 2023

SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications.
CoRR, 2023

Toward the Cure of Privacy Policy Reading Phobia: Automated Generation of Privacy Nutrition Labels From Privacy Policies.
CoRR, 2023

A Large-scale Empirical Study of Online Automated Privacy Policy Generators for Mobile Apps.
CoRR, 2023

2021
CNN-based Multi-model Birdcall Identification on Embedded Devices.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2021


  Loading...