Xudong Zhao 赵旭东

Academic profile · Updated June 2026

Xudong Zhao 赵旭东

Teli Postdoctoral Fellow · School of Information and Electronics

Beijing Institute of Technology, Beijing, China

I work on fractional-domain signal processing, multisource remote sensing image interpretation, and perception and detection for terminal guidance. My research connects signal representations, multimodal data fusion, and learning-based visual understanding.

Email Google Scholar ORCID GitHub
Professional portrait of Xudong Zhao
Beijing · BIT
20+peer-reviewed papers
13first / corresponding author
4ESI Highly Cited papers
3invention patents
1academic monograph
Profile

About

A researcher in signal processing and remote sensing, with doctoral training at Beijing Institute of Technology and Ghent University.

Xudong Zhao received a Ph.D. in Information and Communication Engineering from Beijing Institute of Technology and an independent Ph.D. in Computer Science Engineering from Ghent University. He is currently a Teli Postdoctoral Fellow at the School of Information and Electronics, Beijing Institute of Technology.

His work focuses on fractional-domain representations for multisource remote sensing, including hyperspectral–LiDAR fusion, cross-scene classification, oriented object detection, and robust perception. He has led national and postdoctoral research projects and published in IEEE Transactions and other leading venues.

Selected research outcomes have been applied to image matching and forest-monitoring tasks. His broader goal is to develop interpretable signal representations that improve robustness and generalization in complex sensing environments.

Focus

Research

New signal representations and learning methods for heterogeneous sensing data, with an emphasis on robustness, fusion, and cross-domain generalization.

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Fractional-domain signal processing

Fractional Fourier, Gabor, chirplet, and space-filling-curve representations for extracting structured information from complex signals.

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Multisource remote sensing

Fusion and joint interpretation of hyperspectral, LiDAR, optical, and SAR data across sensors, scenes, and domains.

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Perception and detection

Cross-scene classification, oriented object detection, robust image matching, and perception for terminal-guidance applications.

Background

Experience & Education

Interdisciplinary training in information and communication engineering, computer science engineering, image processing, and remote sensing.

2023.04–Present

Beijing Institute of Technology

Teli Postdoctoral Fellow, School of Information and Electronics; first cohort of a national-level postdoctoral young-talent program.

2019.10–2023.03

Ghent University, Belgium

Ph.D. in Computer Science Engineering (independent doctorate). Supervisor: Prof. Wilfried Philips.

2016.09–2022.09

Beijing Institute of Technology

Ph.D. in Information and Communication Engineering. Supervisor: Prof. Ran Tao.

2012.09–2016.07

Beijing Institute of Technology

B.E. in Information Engineering.

Funding

Selected Projects

Principal investigator on national, postdoctoral, and application-oriented research projects.

National-level Postdoctoral Young-Talent Program (first cohort)

Principal Investigator

NSFC Young Scientists Fund

Principal Investigator

China Postdoctoral Science Foundation, 74th General Program

Principal Investigator

Robust Matching under Geometric Distortion

Application-oriented project · Principal Investigator

Research output

Selected Publications

Ten representative first-, co-first-, or corresponding-author works. The complete and continuously updated record is available on Google Scholar.

View full publication list
Recognition

Awards & Honors

Selected research awards, dissertation recognition, and scholarships.

Second Prize, Outstanding Achievement in Remote Sensing

“Hyperspectral remote-sensing image interpretation enhanced by fractional-domain information” · Rank 5/10.

Outstanding Postdoctoral Fellow, Beijing Institute of Technology

Individual recognition.

First Prize, Natural Science Award, Chinese Institute of Electronics

“Theory and methods for multidomain information extraction from hyperspectral images” · Rank 4/4.

Doctoral Dissertation Incentive Program, Chinese Institute of Electronics

Dissertation on hyperspectral image interpretation based on fractional-domain information extraction.

“Shiyuan Beili” Academic Innovation Recognition, BIT

Individual recognition.

CSC High-Level University Graduate Program (A1) & SMC Scholarship

Graduate study and academic scholarship support.

Community

Service & Other Outputs

Academic service, intellectual property, and scholarly publishing.

Academic service

  • Member, URSI-China Young Scientists Working Group.
  • Session Chair, IEEE IGARSS 2022.
  • Convener, 2025 Chinese Institute of Electronics Outstanding Doctoral Forum.
  • Guest Editor, Journal of Beijing Institute of Technology.
  • Reviewer for 20+ journals, including IEEE Transactions venues.

Patents & book

  • Three Chinese invention patents in multisource interpretation, coastal-wetland classification, and fractional-Fourier-based UAV target detection.
  • Hyperspectral and LiDAR Data Fusion and Classification, Ghent University Press, 2023.
Contact

Let’s connect

For research collaboration, academic exchange, and student inquiries, email is the best way to reach me.

zhaoxudong@bit.edu.cn Google Scholar ORCID GitHub