Liu Rui

Learn More
Indicator-based approaches are often used to monitor land degradation and desertification from the global to the very local scale. However, there is still little agreement on which indicators may best reflect both status and trends of these phenomena. In this study, various processes of land degradation and desertification have been analyzed in 17 study(More)
Brain imaging data such as EEG or MEG is high-dimensional spatiotemporal measurements that commonly require dimensionality reduction before being used for further analysis or applications. This paper presents a new dimensionality reduction method based on the recent graph signal processing theory. Specifically, we focus on a task to classify the brain(More)
An approach to derive relationships for defining land degradation and desertification risk and developing appropriate tools for assessing the effectiveness of the various land management practices using indicators is presented in the present paper. In order to investigate which indicators are most effective in assessing the level of desertification risk, a(More)
With the increasing investment sale and improving technology level of the construction project, it has been a universal phenomenon that several construction enterprises jointly completed a large-sale project. Therefore, the problem of construction contractor's selection has emerged. In this paper, the construction contractor's selection and optimization(More)
The typeⅡCRISPR/Cas9 system (Clustered regularly interspaced short palindromic repeats /CRISPR-associated 9) has been widely used in bacteria, yeast, animals and plants as a targeted genome editing technique. In previous work, we have successfully knocked out the endogenous phytoene dehydrogenase (PDS) gene in Populus tomentosa Carr. using this system. To(More)
We propose an algorithm to uncover the intrinsic low-rank component of a high-dimensional, graph-smooth and grossly-corrupted dataset, under the situations that the underlying graph is unknown. Based on a model with a low-rank component plus a sparse perturbation, and an initial graph estimation, our proposed algorithm simultaneously learns the low-rank(More)
In this paper, an algorithm for estimating fundamental matrix based on removing the exceptional points is proposed. It uses normalized 8-point algorithm to estimate the initial value of the fundamental matrix, and then refines it by eliminating the exceptional points. Furthermore, the Genetic Algorithm(GA) is used to optimize the initial fundamental matrix(More)
Grey incidence analysis, one content of grey system theory, has been widely applied in many fields and gotten a lot of beneficial results. The fundamental idea of grey incidence analysis is that the closeness of the relationship is judged based on the similarity level of the geometric patterns of sequence curves. The more similar the curves are, the higher(More)