American Psychological Association 6th edition

Xu, T., Huang, T.-Z., Deng, L.-J., Dou, H.-X., & Yokoya, N. (2023). TR-STF: a fast and accurate tensor ring decomposition algorithm via defined scaled tri-factorization. Computational and Applied Mathematics, 42(5). https://doi.org/10.1007/s40314-023-02368-w

ISO-690 (author-date, English)

XU, Ting, HUANG, Ting-Zhu, DENG, Liang-Jian, DOU, Hong-Xia and YOKOYA, Naoto, 2023. TR-STF: a fast and accurate tensor ring decomposition algorithm via defined scaled tri-factorization. Computational and Applied Mathematics. 1 July 2023. Vol. 42, no. 5, . DOI 10.1007/s40314-023-02368-w.

Modern Language Association 9th edition

Xu, T., T.-Z. Huang, L.-J. Deng, H.-X. Dou, and N. Yokoya. “TR-STF: A Fast and Accurate Tensor Ring Decomposition Algorithm via Defined Scaled Tri-Factorization”. Computational and Applied Mathematics, vol. 42, no. 5, July 2023, https://doi.org/10.1007/s40314-023-02368-w.

Mohr Siebeck - Recht (Deutsch - Österreich)

Xu, Ting/Huang, Ting-Zhu/Deng, Liang-Jian/Dou, Hong-Xia/Yokoya, Naoto: TR-STF: a fast and accurate tensor ring decomposition algorithm via defined scaled tri-factorization, Computational and Applied Mathematics 2023,

Emerald - Harvard

Xu, T., Huang, T.-Z., Deng, L.-J., Dou, H.-X. and Yokoya, N. (2023), “TR-STF: a fast and accurate tensor ring decomposition algorithm via defined scaled tri-factorization”, Computational and Applied Mathematics, Vol. 42 No. 5, available at:https://doi.org/10.1007/s40314-023-02368-w.

Warning: These citations may not always be 100% accurate.