Author

Jie Zhang

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#machine learning Open access Sep 2026

Quantum-Assisted Memory-Efficient Training for Parameter-Intensive Wi-Fi-Based Human Activity Recognition

This work represents the first quantum-assisted approach to simultaneously tackle memory inefficiencies in both the training and inference stages of HAR systems, and achieves a 90% to 95% reduction in trainable parameters compared with conventional backpropagation-based DL training.

T. An, Jie Zhang, Guo-Lin Yin et al. · IEEE Transactions on Network... · 0 citations

Preprint Aug 2026

Generative Adversarial Reconstruction with Adaptive Thresholding for Obstructed Targets in Computational Microwave Imaging

In this work, an end-to-end generative adversarial framework for computational microwave imaging (CMI) is proposed to reconstruct the targets of interest directly from the measurements of targets obstructed by undesired objects. It integrates a conditional generative adversarial network (cGAN) with a learnable soft-thr...

Jia-Ming Zhang, María García-Fernández, G. Álvarez-Narciandi et al. · 0 citations