no code implementations • 11 Jan 2024 • Dongyi Li, Dong Chu, Xiaobin Guan, wei he, Huanfeng Shen
On the one hand, the stripe noise is separately modeled by the tensor decomposition, which can effectively encode the spatial-spectral correlation of the stripe noise.
no code implementations • 30 Nov 2022 • Dong Chu, Wael Jaafar, Halim Yanikomeroglu
To tackle this problem, we propose in this paper a communication-efficient federated learning (CEFL) framework that involves clients clustering and transfer learning.
no code implementations • 4 Feb 2021 • Dong Chu, Huanfeng Shen, Xiaobin Guan, Jing M. Chen, Xinghua Li, Jie Li, Liangpei Zhang
The applications of Normalized Difference Vegetation Index (NDVI) time-series data are inevitably hampered by cloud-induced gaps and noise.
no code implementations • 8 Jan 2021 • Yusheng Huang, Dong Chu, Joel Weijia Lai, Yong Deng, Kang Hao Cheong
Based on the D-Path and T-Point, a newly accelerated PPA named OPPA-D using the proposed termination criterion is developed which is superior to all other baseline algorithms according to the experiments conducted in this paper.
1 code implementation • 19 Oct 2020 • Yusheng Huang, Dong Chu, Yong Deng, Kang Hao Cheong
Motivated by the lack of related PPA-based research, a novel framework, the capacitated physarum polycephalum inspired algorithm (CPPA), is proposed to allow capacity constraints toward link flow in the PPA.