APA (7th ed.) Citation

Chen, J., Mu, J., Cai, S., Zhou, J., Liu, Z., & Shi, X. (2026). DATVD: A novel vulnerability detection method based on dynamic attention and hybrid convolutional pooling. Science of Computer Programming, 251, N.PAG. https://doi.org/10.1016/j.scico.2026.103443

Chicago Style (17th ed.) Citation

Chen, Jinfu, Jinyu Mu, Saihua Cai, Jiapeng Zhou, Ziyan Liu, and Xinping Shi. "DATVD: A Novel Vulnerability Detection Method Based on Dynamic Attention and Hybrid Convolutional Pooling." Science of Computer Programming 251 (2026): N.PAG. https://doi.org/10.1016/j.scico.2026.103443.

MLA (9th ed.) Citation

Chen, Jinfu, et al. "DATVD: A Novel Vulnerability Detection Method Based on Dynamic Attention and Hybrid Convolutional Pooling." Science of Computer Programming, vol. 251, 2026, p. N.PAG, https://doi.org/10.1016/j.scico.2026.103443.