Yang, Xianchang
51  results:
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1

Hyperspectral Anomaly Detection Using Reconstruction Fusion..:

Tu, Bing ; Yang, Xianchang ; He, Wei..
IEEE Transactions on Neural Networks and Learning Systems.  35 (2024)  6 - p. 8358-8372 , 2024
 
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2

Graph Evolution-Based Vertex Extraction for Hyperspectral A..:

Yang, Xianchang ; Tu, Bing ; Li, Qianming..
IEEE Transactions on Neural Networks and Learning Systems.  , 2024
 
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3

Ensemble Entropy Metric for Hyperspectral Anomaly Detection:

Tu, Bing ; Yang, Xianchang ; Ou, Xianfeng...
IEEE Transactions on Geoscience and Remote Sensing.  60 (2022)  - p. 1-17 , 2022
 
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4

Hyperspectral anomaly detection via density peak clustering:

Tu, Bing ; Yang, Xianchang ; Li, Nanying..
Pattern Recognition Letters.  129 (2020)  - p. 144-149 , 2020
 
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5

Hyperspectral image classification with a class-dependent s..:

Tu, Bing ; Li, Nanying ; Fang, Leyuan..
Pattern Recognition Letters.  123 (2019)  - p. 16-22 , 2019
 
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8

The delamination performance of composite laminates with bi..:

Yang, Xiao ; Li, Guangji ; Chen, Yu...
Composites Part A: Applied Science and Manufacturing.  181 (2024)  - p. 108172 , 2024
 
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12

Zn/Ti/F synergetic-doped Na0.67Ni0.33Mn0.67O2 for sodium-io..:

Fan, Yong ; Ye, Xianchang ; Yang, Xiaofen...
Journal of Materials Chemistry A.  11 (2023)  7 - p. 3608-3615 , 2023
 
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13

A one-dimensional convolutional neural network based deep l..:

Yang, Haijun ; Li, Xianchang ; Zhang, Shiding...
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy.  289 (2023)  - p. 122210 , 2023
 
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14

Combining a novel biofilm reactor with a constructed wetlan..:

Zhang, Rui ; Liu, Xianchang ; Wang, Lutian...
Chemical Engineering Journal.  455 (2023)  - p. 140906 , 2023
 
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