Yuxia Zhang

Orcid: 0000-0003-1138-3708

According to our database1, Yuxia Zhang authored at least 69 papers between 2012 and 2026.

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

2026
Probing the LGI, the WLGI, the entropic LGI, the NSIT condition and the NCGD for large spin system under the coarsening measurement.
Quantum Inf. Process., June, 2026

An Empirical Study of Overlooked Code Review Comments in OSS Projects.
IEEE Trans. Software Eng., May, 2026

A Deep Dive Into Deprecation Declarations in the Rust Package Ecosystem.
IEEE Trans. Software Eng., March, 2026

POS Tagging on Code Identifiers: How Far Are We?
ACM Trans. Softw. Eng. Methodol., March, 2026

Facilitating Wise Decision-Making for Bounty Backers in Open Source Software Communities.
IEEE Trans. Software Eng., January, 2026

2025
An Empirical Study on the Relationship between Defects and Source Code's Unnaturalness.
ACM Trans. Softw. Eng. Methodol., November, 2025

Automated Recommendation of Extracting Local Variable Refactorings.
ACM Trans. Softw. Eng. Methodol., November, 2025

An EEG Screening Method for Severe Obstructive Sleep Apnea Based on Limited Penetrable Difference Visibility Graph and Graph Convolutional Network.
IEEE J. Biomed. Health Informatics, November, 2025

Recommending Variable Names for Extract Local Variable Refactorings.
ACM Trans. Softw. Eng. Methodol., July, 2025

An Empirical Study on Common Sense-Violating Bugs in Mobile Apps.
ACM Trans. Softw. Eng. Methodol., July, 2025

Evaluating Generated Commit Messages with Large Language Models.
CoRR, July, 2025

Context-Aware Code Wiring Recommendation with LLM-based Agent.
CoRR, July, 2025

Developers' Views on Commercial Involvement in OSS: A Survey From Three Projects.
IEEE Trans. Software Eng., June, 2025

Correction to: Deep learning based identification of inconsistent method names: how Far are we?
Empir. Softw. Eng., June, 2025

Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study.
Autom. Softw. Eng., June, 2025

An Automated Approach to Discovering Software Refactorings by Comparing Successive Versions.
IEEE Trans. Software Eng., May, 2025

LLMs are Bug Replicators: An Empirical Study on LLMs' Capability in Completing Bug-prone Code.
CoRR, March, 2025

Is It Hard to Generate Holistic Commit Message?
ACM Trans. Softw. Eng. Methodol., February, 2025

Systematic Literature Review of Commercial Participation in Open Source Software.
ACM Trans. Softw. Eng. Methodol., February, 2025

Deep learning based identification of inconsistent method names: How far are we?
Empir. Softw. Eng., February, 2025

Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?
CoRR, January, 2025

Who Will Stop Contributing to OSS Projects? Predicting Company Turnover Based on Initial Behavior.
Proc. ACM Softw. Eng., 2025

Has My Code Been Stolen for Model Training? A Naturalness Based Approach to Code Contamination Detection.
Proc. ACM Softw. Eng., 2025

Core Developer Turnover in the Rust Package Ecosystem: Prevalence, Impact, and Awareness.
Proc. ACM Softw. Eng., 2025

LLM-Based Method Name Suggestion with Automatically Generated Context-Rich Prompts.
Proc. ACM Softw. Eng., 2025

Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers.
Proc. ACM Hum. Comput. Interact., 2025

Large-language-model-based Decomposition of Long Methods.
Int. J. Softw. Informatics, 2025

LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Wired for Reuse: Automating Context-Aware Code Adaptation in IDEs via LLM-Based Agent.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

A First Look at Conventional Commits Classification.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Chatgpt-Based Test Generation for Refactoring Engines Enhanced by Feature Analysis on Examples.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
Bringing Open Source Communication and Development Together: A Cross-Platform Study on Gitter and GitHub.
IEEE Trans. Software Eng., November, 2024

Automatic Commit Message Generation: A Critical Review and Directions for Future Work.
IEEE Trans. Software Eng., April, 2024

An Empirical Study on the Potential of LLMs in Automated Software Refactoring.
CoRR, 2024

Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers.
CoRR, 2024

COLARE: Commit Classification via Fine-grained Context-aware Representation of Code Changes.
Proceedings of the IEEE International Conference on Software Analysis, 2024

How Are Paid and Volunteer Open Source Developers Different? A Study of the Rust Project.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Context-Aware Name Recommendation for Field Renaming.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Comparing various formulations of macrorealism.
Quantum Inf. Process., September, 2023

Method for enhancing transmission image of breast obtained in visible and near-infrared bands.
Biomed. Signal Process. Control., September, 2023

Automating Dependency Updates in Practice: An Exploratory Study on GitHub Dependabot.
IEEE Trans. Software Eng., August, 2023

BugBuilder: An Automated Approach to Building Bug Repository.
IEEE Trans. Software Eng., April, 2023

Research on person re-identification based on posture guidance and feature alignment.
Multim. Syst., April, 2023

How Early Participation Determines Long-Term Sustained Activity in GitHub Projects?
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Deep Learning Based Feature Envy Detection Boosted by Real-World Examples.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

An Automated Approach to Extracting Local Variables.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Automated Software Entity Matching Between Successive Versions.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Design of Tunable Couplers for Antenna Feed Network.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

Development of Tunable Balanced Couplers in Balanced Antennas.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

2022
Turnover of Companies in OpenStack: Prevalence and Rationale.
ACM Trans. Softw. Eng. Methodol., 2022

Leggett-Garg inequality, Wigner form of Leggett-Garg inequality and no-signaling-in-time condition under coarsening measurement.
Quantum Inf. Process., 2022

Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework.
BMC Medical Informatics Decis. Mak., 2022

Commercial Participation in OpenStack: Two Sides of a Coin.
Computer, 2022

Corporate dominance in open source ecosystems: a case study of OpenStack.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Do bugs lead to unnaturalness of source code?
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

What Makes a Good Commit Message?
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Companies' Participation in OSS Development-An Empirical Study of OpenStack.
IEEE Trans. Software Eng., 2021

The Stock Market Model with Delayed Information Impact from a Socioeconomic View.
Entropy, 2021

Which abbreviations should be expanded?
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020
ALFAA: Active Learning Fingerprint based Anti-Aliasing for correcting developer identity errors in version control systems.
Empir. Softw. Eng., 2020

How do companies collaborate in open source ecosystems?: an empirical study of OpenStack.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
No-Signaling-in-Time (NSIT) Condition for Energy.
Entropy, 2019

ALFAA: Active Learning Fingerprint Based Anti-Aliasing for Correcting Developer Identity Errors in Version Control Data.
CoRR, 2019

2018
Bell inequality, steering, incompatibility and Leggett-Garg inequality under coarsening measurement.
Quantum Inf. Process., 2018

Companies' domination in FLOSS development: an empirical study of OpenStack.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

An Improved IoT Notion-Based Authentication and Key Agreement Protocol for Heterogenous Ad Hoc Wireless Sensor Network.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017
Mozilla项目缺陷修复追踪关系研究 (Study on Bug-fixed Traceability of Mozilla Project).
计算机科学, 2017

2016
An exponential threshold function wavelet denoising method based on Gaussian distribution.
Proceedings of the 12th International Conference on Natural Computation, 2016

2012
Effects of electronic medical record in a Chinese hospital: A time series study.
Int. J. Medical Informatics, 2012


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