LIANG, H. und HUANG, C., 2024. Integrating Non-Fourier and AST-Structural Relative Position Representations Into Transformer-Based Model for Source Code Summarization. IEEE Access, Access, IEEE. 1 Januar 2024. Vol. 12, , p. 9871-9889. DOI 10.1109/ACCESS.2024.3354390.
Elsevier - Harvard (with titles)Liang, H., Huang, C., 2024. Integrating Non-Fourier and AST-Structural Relative Position Representations Into Transformer-Based Model for Source Code Summarization. IEEE Access, Access, IEEE 12, 9871-9889. https://doi.org/10.1109/ACCESS.2024.3354390
American Psychological Association 7th editionLiang, H., & Huang, C. (2024). Integrating Non-Fourier and AST-Structural Relative Position Representations Into Transformer-Based Model for Source Code Summarization. IEEE Access, Access, IEEE, 12, 9871-9889. https://doi.org/10.1109/ACCESS.2024.3354390
Springer - Basic (author-date)Liang H, Huang C (2024) Integrating Non-Fourier and AST-Structural Relative Position Representations Into Transformer-Based Model for Source Code Summarization. IEEE Access, Access, IEEE 12:9871-9889. https://doi.org/10.1109/ACCESS.2024.3354390
Juristische Zitierweise (Stüber) (Deutsch)Liang, H./ Huang, C., Integrating Non-Fourier and AST-Structural Relative Position Representations Into Transformer-Based Model for Source Code Summarization, IEEE Access, Access, IEEE 2024, 9871-9889.