Zhen Yang

Orcid: 0000-0003-0670-4538

Affiliations:
  • Shandong University, School of Computer Science and Technology, Qingdao, China


According to our database1, Zhen Yang authored at least 29 papers between 2020 and 2026.

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

Timeline

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Bibliography

2026
Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser.
Autom. Softw. Eng., June, 2026

2025
R2ComSync: Improving Code-Comment Synchronization with In-Context Learning and Reranking.
CoRR, October, 2025

Practitioners' Expectations on Log Anomaly Detection.
IEEE Trans. Software Eng., September, 2025

A New Benchmark for Evaluating Code Translation with Third-Party Libraries.
CoRR, September, 2025

ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation.
Proc. ACM Softw. Eng., 2025

Identifying inconsistent software defect predictions with symmetry metamorphic relation pattern.
J. Syst. Softw., 2025

Effectiveness of symmetric metamorphic relations on validating the stability of code generation LLM.
J. Syst. Softw., 2025

SemiRALD: A semi-supervised hybrid language model for robust Anomalous Log Detection.
Inf. Softw. Technol., 2025

SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning.
Inf. Softw. Technol., 2025

Exploring continual learning in code intelligence with domain-wise distilled prompts.
Inf. Softw. Technol., 2025

2024
Automated Commit Message Generation With Large Language Models: An Empirical Study and Beyond.
IEEE Trans. Software Eng., December, 2024

SimAC: simulating agile collaboration to generate acceptance criteria in user story elaboration.
Autom. Softw. Eng., November, 2024

Improving domain-specific neural code generation with few-shot meta-learning.
Inf. Softw. Technol., February, 2024

TerGEC: A graph enhanced contrastive approach for program termination analysis.
Sci. Comput. Program., 2024

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
Proc. ACM Softw. Eng., 2024

Data preparation for Deep Learning based Code Smell Detection: A systematic literature review.
J. Syst. Softw., 2024

Escalating LLM-based Code Translation Benchmarking into the Class-level Era.
CoRR, 2024

Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing.
CoRR, 2024

Exploring and Evaluating Hallucinations in LLM-Powered Code Generation.
CoRR, 2024

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study.
Proceedings of the IEEE International Conference on Software Analysis, 2024

Agile Requirements Engineering in a Distributed Environment: Experiences from the Software Industry During Unprecedented Global Challenges.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
On the Significance of Category Prediction for Code-Comment Synchronization.
ACM Trans. Softw. Eng. Methodol., April, 2023

2022
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information.
Inf. Softw. Technol., 2022

CASMS: Combining clustering with attention semantic model for identifying security bug reports.
Inf. Softw. Technol., 2022

SEbox4DL: A Modular Software Engineering Toolbox for Deep Learning Models.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021
Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information.
CoRR, 2021

AComNN: Attention enhanced Compound Neural Network for financial time-series forecasting with cross-regional features.
Appl. Soft Comput., 2021

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

2020
Smart Contracts Vulnerability Auditing with Multi-semantics.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020


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