Scholar
bo du
Google Scholar ID: Shy1gnMAAAAJ
School of Computer Science, Wuhan University
Citations & Impact
Citations
31,022
H-index
90
i10-index
423
Publications
20
Co-authors
37
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. Proposed the world's first billion-scale hyperspectral image interpretation model - HyperSIGMA.
- 2. Published a paper on remote sensing change detection in IEEE TPAMI.
- 3. Published a paper on neural network regularization in TPAMI.
- 4. Proposed a remote sensing image change detection algorithm based on slow feature analysis.
- 5. Developed an adaptive spectral-spatial multiscale network for hyperspectral image classification.
- 6. Won the championship of the 2018 IEEE Data Fusion Contest.
- 7. Won the 'Challenge Star' (Championship) in the 'Artificial Intelligence+' special competition of the Challenge Cup in the remote sensing track.
- 8. The Sigma-WHU team achieved excellent results in two international challenges at MICCAI 2025.
- 9. The Sigma-WHU team won the ISBI 2025 Fetal Ultrasound Grand Challenge.
Research Experience
- Professor at the School of Computer Science, Wuhan University, and the head of the Sigma laboratory. Involved in several important research projects and has published papers in multiple top international conferences and journals.
Background
- Research interests include transfer learning, object detection, active learning, multi-feature learning, deep learning, anomaly detection, metric learning, recommendation systems, medical artificial intelligence, and computer vision. Specializes in intelligent sensing and machine learning.
Miscellany
- Serves as the project leader for the National Key R&D Program 'Early Diagnosis and Intervention of Structural Birth Defects Based on Prenatal Screening Big Data and Artificial Intelligence Technology'.
