Scholar
Hongcheng Jiang
Google Scholar ID: NPk5cT0AAAAJ
University of Missouri-Kansas City
Citations & Impact
Citations
50
H-index
3
i10-index
2
Publications
9
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- 1. May 2025, personal website moved to https://jianghongcheng.github.io/.
- 2. May 2025, graduated with a Ph.D. in Electrical and Computer Engineering.
- 3. April 2025, one paper accepted by Infrared Physics and Technology.
- 4. April 2025, one paper under revision by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
- 5. January 2025, one paper under peer review by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
- 6. January 2025, one paper accepted by WACV 2025.
- 7. November 2024, one paper under peer review by Infrared Physics and Technology.
- 8. April 2024, one paper accepted by CVPR 2024.
- 9. August 2022, one paper accepted by ICIP 2022.
- 10. September 2020, one paper accepted by International Journal of Machine Learning and Cybernetics.
Research Experience
- 1. Researcher at DIGIT Lab, USA, designing and implementing advanced machine learning models to address complex challenges in remote sensing and geospatial analytics.
- 2. Research Focus: Spatial Enhancement, Spectral Enhancement, Spatial-Spectral Enhancement.
Education
- 1. Ph.D. in Electrical and Computer Engineering, University of Missouri-Kansas City (UMKC), Advisor: Prof. ZhiQiang Chen
- 2. Master's degree in Computer Science, University of Missouri-Kansas City (UMKC)
Background
- Research Interests: machine learning, deep learning, and computer vision. Professional Field: Electrical and Computer Engineering. Brief Introduction: Ph.D. in Electrical and Computer Engineering from the School of Computing and Engineering, University of Missouri-Kansas City (UMKC), under the mentorship of Prof. ZhiQiang Chen. Currently working as a researcher at the DIGIT Lab, USA, designing and implementing advanced machine learning models to address complex challenges in remote sensing and geospatial analytics.
Miscellany
- Personal interests and hobbies not provided.
