Xu Tang
Scholar

Xu Tang

Google Scholar ID: lmskeBMAAAAJ
School of Artificial Intelligence, Xidian Univeristy
Image ProcessingRemote SensingMachine Learning
Citations & Impact
All-time
Citations
4,601
 
H-index
39
 
i10-index
75
 
Publications
20
 
Co-authors
7
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Second Prize of the Natural Science Award by the Chinese Association of Automation in 2022; IEEE Senior Member; Associate Editor of IEEE Geoscience and Remote Sensing Letters (IF: 4.8); Topic Editor of Remote Sensing (IF: 5.0); Member of the Youth Working Committee of the Chinese Association for Artificial Intelligence; Member of the Youth Working Committee of the Shaanxi Provincial Association of Automation; Special Session Co-Chair, IGARSS 2019; Session Chair, IGARSS 2020, 2021, 2023; Reviewer for multiple international journals and conferences.
Research Experience
  • 2010.04-2011.07: Software Engineer, ZTE Corporation; 2011.07-2013.07: Software Engineer, Huawei Technologies Co., Ltd.; 2017.07-2019.07: Lecturer, School of Artificial Intelligence, Xidian University; 2019.07-2023.06: Associate Professor, School of Artificial Intelligence, Xidian University; 2021.01-present: Huashan Elite Associate Professor, Xidian University; 2023.07-present: Professor, School of Artificial Intelligence, Xidian University; 2023.10-present: Associate Dean, School of Artificial Intelligence, Xidian University.
Education
  • 2007: Bachelor's Degree, Xidian University; 2010: Master's Degree, Xidian University; 2017: PhD, Xidian University; 2015-2016: Joint PhD at the University of Colorado Boulder, Aerospace Engineering Science.
Background
  • Research Interests: Machine Learning, Pattern Recognition, Remote Sensing Image Processing. Introduction: Dr. Xu Tang has been deeply involved in research related to high-resolution Earth observation for many years, focusing on the critical need for understanding and applying high-resolution remote sensing imagery. He has conducted in-depth studies on complex image content mining and pattern recognition, proposing several innovative methods.