5 citations · 10 across the 7 of their papers we have counts for
7 papers
Multi-Target Federated Backdoor Attack Based on Feature Aggregation
Lingguag Hao, Kuangrong Hao, Bing Wei +1
Current federated backdoor attacks focus on collaboratively training backdoor triggers, where multiple compromised clients train their local trigger patches and then merge them int…
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification
Yudi Zhao, Kuangrong Hao, Chaochen Gu +1
To address the trade-off problem of quality-diversity for the generated images in imbalanced classification tasks, we research on over-sampling based methods at the feature level i…
Vision Transformer with Convolutions Architecture Search
Haichao Zhang, Kuangrong Hao, Witold Pedrycz +3
Transformers exhibit great advantages in handling computer vision tasks. They model image classification tasks by utilizing a multi-head attention mechanism to process a series of…
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects
Bing Wei, Yudi Zhao, Kuangrong Hao +1
Visual sensation and perception refers to the process of sensing, organizing, identifying, and interpreting visual information in environmental awareness and understanding. Computa…
Enhanced Gradient for Differentiable Architecture Search
Haichao Zhang, Kuangrong Hao, Lei Gao +2
In recent years, neural architecture search (NAS) methods have been proposed for the automatic generation of task-oriented network architecture in image classification. However, th…
MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images
Bing Wei, Kuangrong Hao, Lei Gao
For the sake of recognizing and classifying textile defects, deep learning-based methods have been proposed and achieved remarkable success in single-label textile images. However,…