Fengyu Yang

Orcid: 0000-0003-4770-3857

Affiliations:
  • Nanchang Hangkong University, School of Software, School of Aerospace Engineering, China


According to our database1, Fengyu Yang authored at least 14 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
PRaFFLineDP: Feature fusion with progressive ranking for efficient line-level defect prediction.
Empir. Softw. Eng., September, 2026

Enhancing feature quality for small object detection in lightweight models via self-distillation and optimized SAHI.
Appl. Intell., June, 2026

TFDP: A triple-Fusion model for software defect prediction with hierarchical AST and multiscale PDG encoding.
J. Syst. Softw., 2026

2025
A Fine-Grained Defect Prediction Method Based on Drift-Immune Graph Neural Networks.
Comput. Mater. Continua, 2025

2024
LineFlowDP: A Deep Learning-Based Two-Phase Approach for Line-Level Defect Prediction.
Empir. Softw. Eng., April, 2024

Vulnerability Detection Based on Enhanced Graph Representation Learning.
IEEE Trans. Inf. Forensics Secur., 2024

CfExplainer: Explainable just-in-time defect prediction based on counterfactuals.
J. Syst. Softw., 2024

Boosting Spectrum-Based Fault Localization via Multi-Correct Programs in Online Programming.
IEICE Trans. Inf. Syst., 2024

2023
Hybrid Defect Prediction Model Based on Counterfactual Feature Optimization.
Hum. Centric Intell. Syst., September, 2023

Test data generation method based on multiple convergence direction adaptive PSO.
Softw. Qual. J., March, 2023

A Method-Level Defect Prediction Approach Based on Structural Features of Method-Calling Network.
IEEE Access, 2023

Interpretable Software Defect Prediction Incorporating Multiple Rules.
Proceedings of the IEEE International Conference on Software Analysis, 2023

2019
SZ-NPU Team's Entry to Blizzard Challenge 2019.
Proceedings of the Blizzard Challenge 2019, Vienna, Austria, September 23, 2019, 2019

Improving Mandarin End-to-End Speech Synthesis by Self-Attention and Learnable Gaussian Bias.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019


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