Institution
Hefei University of Technology
Education•Hefei, China•
About: Hefei University of Technology is a education organization based out in Hefei, China. It is known for research contribution in the topics: Computer science & Microstructure. The organization has 28093 authors who have published 24935 publications receiving 324989 citations.
Papers published on a yearly basis
Papers
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TL;DR: Using rice husk (RH) as silicon source, this article reported for the first time the fabrication of silicon/nitrogen-doped carbon/carbon nanotube (SNCC) nano/micro-hierarchical structured spheres through a facile electrospray approach.
433 citations
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TL;DR: The as-prepared MnFe2O4 and MnFe 2O4-rGO hybrid exhibited stable performance to remove the organic pollutants in wastewater with easy recycling and good stability by successive degradation experiments.
428 citations
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TL;DR: In this article, the Least Squares Regression (LSR) method was proposed for subspace segmentation, which takes advantage of data correlation and encourages a grouping effect which tends to group highly correlated data together.
Abstract: This paper studies the subspace segmentation problem which aims to segment data drawn from a union of multiple linear subspaces. Recent works by using sparse representation, low rank representation and their extensions attract much attention. If the subspaces from which the data drawn are independent or orthogonal, they are able to obtain a block diagonal affinity matrix, which usually leads to a correct segmentation. The main differences among them are their objective functions. We theoretically show that if the objective function satisfies some conditions, and the data are sufficiently drawn from independent subspaces, the obtained affinity matrix is always block diagonal. Furthermore, the data sampling can be insufficient if the subspaces are orthogonal. Some existing methods are all special cases. Then we present the Least Squares Regression (LSR) method for subspace segmentation. It takes advantage of data correlation, which is common in real data. LSR encourages a grouping effect which tends to group highly correlated data together. Experimental results on the Hopkins 155 database and Extended Yale Database B show that our method significantly outperforms state-of-the-art methods. Beyond segmentation accuracy, all experiments demonstrate that LSR is much more efficient.
428 citations
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TL;DR: An approach that simultaneously utilizes both visual and textual information to estimate the relevance of user tagged images is proposed, and the relevance estimation is determined with a hypergraph learning approach.
Abstract: Due to the popularity of social media websites, extensive research efforts have been dedicated to tag-based social image search. Both visual information and tags have been investigated in the research field. However, most existing methods use tags and visual characteristics either separately or sequentially in order to estimate the relevance of images. In this paper, we propose an approach that simultaneously utilizes both visual and textual information to estimate the relevance of user tagged images. The relevance estimation is determined with a hypergraph learning approach. In this method, a social image hypergraph is constructed, where vertices represent images and hyperedges represent visual or textual terms. Learning is achieved with use of a set of pseudo-positive images, where the weights of hyperedges are updated throughout the learning process. In this way, the impact of different tags and visual words can be automatically modulated. Comparative results of the experiments conducted on a dataset including 370+images are presented, which demonstrate the effectiveness of the proposed approach.
423 citations
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TL;DR: In this paper, the adsorption of methyl orange onto multiwalled carbon nanotubes (MWCNTs) from aqueous solutions was studied, in which the influence of contact time, dosage, temperature, pH, and methyl orange concentration in the solution were investigated.
422 citations
Authors
Showing all 28292 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Chen | 217 | 4342 | 293080 |
Xiang Zhang | 154 | 1733 | 117576 |
Jun Chen | 136 | 1856 | 77368 |
Shuicheng Yan | 123 | 810 | 66192 |
Yang Li | 117 | 1319 | 63111 |
Jian Liu | 117 | 2090 | 73156 |
Han-Qing Yu | 105 | 718 | 39735 |
Jianqiao Ye | 101 | 962 | 42647 |
Wei Liu | 96 | 1538 | 42459 |
Wei Zhou | 93 | 1640 | 39772 |
Panos M. Pardalos | 87 | 1207 | 39512 |
Zhong Chen | 80 | 1000 | 28171 |
Yong Zhang | 78 | 665 | 36388 |
Rong Cao | 76 | 568 | 21747 |
Qian Zhang | 76 | 891 | 25517 |