Muhammad A. A. Abdelgawad

According to our database, Muhammad A. A. Abdelgawad authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Memory-efficient neural network training via gradient compression through continuous basis tracking.

Xinmin Meng, Muhammad A. A. Abdelgawad, Peng Jing, Ray C. C. Cheung, Hong Yan

Neurocomputing, 2026

SR-TCUR: Scalable and robust tubal CUR decomposition for large-scale multidimensional tensors.

Muhammad A. A. Abdelgawad, Ray C. C. Cheung, Hong Yan

Neurocomputing, 2026

2025

IncTSVD: Incremental Tensor Singular Value Decomposition of Multidimensional Streaming Data.

Muhammad A. A. Abdelgawad, Ray C. C. Cheung, Hong Yan

IEEE Trans. Neural Networks Learn. Syst., October, 2025

Randomized tensor decomposition using parallel reconfigurable systems.

Ajita Misra, Muhammad A. A. Abdelgawad, Peng Jing, Ray C. C. Cheung, Hong Yan

J. Supercomput., March, 2025

Efficient CUR decomposition for interpretable low-rank approximations and imaging applications.

Muhammad A. A. Abdelgawad, Ray C. C. Cheung, Hong Yan

Neurocomputing, 2025

2024

Efficient Blind Hyperspectral Unmixing Framework Based on CUR Decomposition (CUR-HU).

Muhammad A. A. Abdelgawad, Ray C. C. Cheung, Hong Yan

Remote. Sens., March, 2024

RO-SVD: A Reconfigurable Hardware Copyright Protection Framework for AIGC Applications.

Zhuoheng Ran, Muhammad A. A. Abdelgawad, Zekai Zhang, Ray C. C. Cheung, Hong Yan

Proceedings of the 35th IEEE International Conference on Application-specific Systems, 2024

2022

A High-Performance FPGA Accelerator for CUR Decomposition.

Muhammad A. A. Abdelgawad, Ray C. C. Cheung, Hong Yan

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022