[HTML][HTML] Addressing challenges inverse problem with convolutional neural networks and regulation techniques: Applications in extraction of physical parameters of …

LF Mao, SK Li, P Cheng, LJ Zhang - … Journal of Electrical Power & Energy …, 2024 - Elsevier
The instability of the inverse problem is caused by its nonlocal and non-causal nature. This
study addresses the inverse problem of determining the physical parameters of …

Quantum data parallelism in quantum neural networks

S Wu, Y Zhang, J Li - Physical Review Research, 2025 - APS
Quantum neural networks hold promise for achieving lower generalization error bounds and
enhanced computational efficiency in processing certain datasets. However, the integration …

LargeRSDet: A Large Mini-Batch Object Detector for Remote Sensing Images

H Zhu, Q Li, K Miao, J Wang, B Hou… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
Deep neural network models based on vision transformer (ViT) have shown unprecedented
performance in the field of remote sensing image object detection. However, those models …

Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning

D Ming, P Ren, Y Wang, X Feng - The Thirty-eighth Annual Conference on … - openreview.net
Vision transformers (ViTs) perform exceptionally well in various computer vision tasks but
remain vulnerable to adversarial attacks. Recent studies have shown that the transferability …