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Yue Zhu 0004
Person information
- affiliation: University of Cambridge, Department of Architecture, Cambridge, UK
Other persons with the same name
- Yue Zhu — disambiguation page
- Yue Zhu 0001
— Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China
- Yue Zhu 0002 — Florida State University, Tallahassee, FL, USA
- Yue Zhu 0003
— Southeast University, School of Information Science and Engineering, National Mobile Communications Research Laboratory, Nanjing, China
- Yue Zhu 0005
— Vanderbilt University Medical Center, Department of Radiology and Radiological Science, Institute of Imaging Science, Nashville, TN, USA
- Yue Zhu 0006
— China University of Geosciences, School of Computer Science, Wuhan, China
- Yue Zhu 0007
— Civil Aviation University of China, Tianjin Key Lab for Advanced Signal Processing, Tianjin, China (and 1 more)
- Yue Zhu 0008
— Beijing Institute of Technology, China
- Yue Zhu 0009
— Anhui Agricultural University, School of Information and Computer, Hefei, China
- Yue Zhu 0010
— Chinese Academy of Sciences, Shanghai Institute of Materia Medica, Key Laboratory of Receptor Research, National Center for Drug Screening, Shanghai, China
- Yue Zhu 0011
— Imperial College London, Department of Electrical and Electronic Engineering, London, UK (and 1 more)
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2020 – today
- 2023
- [c1]Christian Geiß, Jana Maier, Emily So, Yue Zhu
:
LSTM models for spatiotemporal extrapolation of population data. JURSE 2023: 1-4 - 2022
- [j3]Christian Geiß
, Yue Zhu
, Chunping Qiu, Lichao Mou
, Xiao Xiang Zhu
, Hannes Taubenböck
:
Deep Relearning in the Geospatial Domain for Semantic Remote Sensing Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j2]Yue Zhu
, Christian Geiß, Emily So:
Image super-resolution with dense-sampling residual channel-spatial attention networks for multi-temporal remote sensing image classification. Int. J. Appl. Earth Obs. Geoinformation 104: 102543 (2021) - [j1]Yue Zhu
, Christian Geiß
, Emily So
, Ying Jin:
Multitemporal Relearning With Convolutional LSTM Models for Land Use Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3251-3265 (2021)
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last updated on 2024-08-29 21:50 CEST by the dblp team
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