Pruning filters with L1-norm and capped L1-norm for CNN compression. - Aakash Kumar; Ali Muhammad Shaikh; Yun Li; Hazrat Bilal; Baoqun Yin (Appl. Intell., 2021)

CorrNet: pearson correlation based pruning for efficient convolutional neural networks. - Aakash Kumar; Baoqun Yin; Ali Muhammad Shaikh; Munawar Ali; Wenyue Wei (Int. J. Mach. Learn. Cybern., 2022)

FMIP: Feature Map Importance Pruning for Efficient CNN Optimization. - Ali Muhammad Shaikh; Yunbo Zhao; Yu Kang 001; Aakash Kumar (ACAI, 2024)

Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection. - Munawar Ali; Baoqun Yin; Hazrat Bilal; Aakash Kumar; Ali Muhammad Shaikh; Avinash Rohra (Multim. Tools Appl., 2024)

Efficient Bayesian CNN Model Compression using Bayes by Backprop and L1-Norm Regularization. - Ali Muhammad Shaikh; Yun-Bo Zhao; Aakash Kumar; Munawar Ali; Yu Kang 001 (Neural Process. Lett., 2024)

Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs. - Aakash Kumar; Shifeng Wang; Ali Muhammad Shaikh; Hazrat Bilal; Bo Lu; Shigeng Song (Int. J. Mach. Learn. Cybern., 2024)

DSQN: Robust path planning of mobile robot based on deep spiking Q-network. - Aakash Kumar; Lei Zhang; Hazrat Bilal; Shifeng Wang; Ali Muhammad Shaikh; Bo Lu; Avinash Rohra; Alisha Khalid (Neurocomputing, 2025)