1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025
PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning
Liangyan Li, Yangyi Liu, Yimo Ning +2
Federated Learning (FL) has emerged as a powerful paradigm for leveraging diverse datasets from multiple sources while preserving data privacy by avoiding centralized storage. Howe…
cs.CV2023
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt
Han Zhou, Wei Dong, Yangyi Liu +1
Haze usually leads to deteriorated images with low contrast, color shift and structural distortion. We observe that many deep learning based models exhibit exceptional performance…
cs.CV2023★ 1 cited
A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer
Yangyi Liu, Huan Liu, Liangyan Li +2
Recent years have witnessed an increased interest in image dehazing. Many deep learning methods have been proposed to tackle this challenge, and have made significant accomplishmen…