Zongben Xu
Ph.D. Xi'an Jiaotong University 1982
Facts
11 properties- Instance of
- human
- Date of birth
- 1955
- Country of citizenship
- People's Republic of China[3]
- Occupation
- applied mathematician
- Educated at
- Xi'an Jiaotong University[4]
- Doctoral advisor
- Zhaoyong You[5]
- Maintained by WikiProject
- WikiProject Mathematics[11]
- Member of
- Chinese Academy of Sciences[6]
🏷️ Also known as
en Zongben Xu
zh 徐宗本
🔖 Identifiers · 16
- ORCID iD
- 0000-0002-4066-2338
- VIAF cluster ID
- 624144782722989957555
- GND ID
- 103276967X
- ACM Digital Library author ID
- 81100195859
- CALIS ID
- n2004071828
- DBLP author ID
- 25/3264
- Google Knowledge Graph ID
- /g/1xy2sf72
- HKCAN ID
- 9811127888703406
- IEEE Xplore author ID
- 37332100000
- MR Author ID
- 227531
- Mathematics Genealogy Project ID
- 152017
- NLC authorities
- 058384186
Show all 16 identifiers +4
- National Library of Poland MMS ID
- 9810599285905606
- ResearchGate profile ID
- Zongben-Xu
- Scopus author ID
- 7405426248
- ZbMATH author ID
- xu.zongben
🔗 Connections
Author of 78
Abnormality detection in retinal image by individualized background learning,
Adaptive Structural Hyper-Parameter Configuration by Q-Learning,
A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution,
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing,
Adversarial Reweighting for Partial Domain Adaptation,
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification,
A multi-phase multiobjective approach based on decomposition for sparse reconstruction,
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial–Temporal Total Variation Regularization
+70 more
← Authored by 78
Abnormality detection in retinal image by individualized background learning,
Adaptive Structural Hyper-Parameter Configuration by Q-Learning,
A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution,
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing,
Adversarial Reweighting for Partial Domain Adaptation,
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification,
A multi-phase multiobjective approach based on decomposition for sparse reconstruction,
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial–Temporal Total Variation Regularization
+70 more
Affiliated with 3
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