Researcher

Bo Du

Bo Du is a Wuhan University computer scientist whose work spans remote sensing, AI agents, foundation models, and medical imaging. They earned an engineering doctorate at Wuhan University in 2010, researched at the University of Technology, Sydney, from October 2014 to October 2015, and became a computer science professor at Wuhan University in November 2015. Their work includes Deep Slow Feature Analysis for remote-sensing change detection, the MobileSteward app-agent paper, the HyperSIGMA hyperspectral foundation model, and Janus-Pro-CXR for chest-radiograph interpretation. Since 2019, they have served as executive vice dean of Wuhan University's AI Research Institute.

Works
1,154
Citations
37,060
h-index
99

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2010

    An engineering doctorate

    They earn an engineering PhD at Wuhan University in 2010 after undergraduate studies there.

  2. October 2014–October 2015

    Research in Sydney

    From October 2014 to October 2015, they work as a researcher at the University of Technology, Sydney's Centre for Quantum Computation and Intelligent Systems.

  3. November 2015

    A Wuhan professorship

    In November 2015, they become a professor of computer science at Wuhan University.

  4. 2018

    Deep slow feature analysis

    In 2018, they coauthor a paper on Deep Slow Feature Analysis for change detection in multi-temporal remote-sensing images.

  5. 2025

    MobileSteward at KDD

    In 2025, they coauthor MobileSteward, a KDD paper on using multiple app-oriented agents to automate cross-app instructions.

  6. 2025

    HyperSIGMA for hyperspectral imaging

    In 2025, they coauthor HyperSIGMA, a billion-level foundation model for hyperspectral image interpretation.

  7. 2026

    The Janus-Pro-CXR system

    In 2026, they coauthor Janus-Pro-CXR, a lightweight AI system for chest-radiograph interpretation evaluated in a multicenter prospective study.

  8. Since 2019

    AI institute vice dean

    Since 2019, they serve as executive vice dean of Wuhan University's AI Research Institute.

Career

  1. Since 2015Wuhan UniversityProfessor of Computer Science, Executive Vice Dean
  2. 2025–2026Sichuan University
  3. 2022–2025Beijing Institute of Technology
  4. 2014–2015University of Technology SydneyResearcher
  5. 2011–2015China University of Geosciences
  6. 2009–2015State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Education

  1. 2010Wuhan UniversityUndergraduate studies

Most-cited works

  1. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art2016 · IEEE Geoscience and Remote Sensing Magazine · 2,209 citations
  2. Heterogeneous Federated Learning: State-of-the-art and Research Challenges2023 · ACM Computing Surveys · 621 citationsWith Dacheng Tao
  3. Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification2022 · IEEE Transactions on Image Processing · 595 citations
  4. Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification2019 · IEEE Transactions on Geoscience and Remote Sensing · 554 citationsWith Jian Yang
  5. Saliency-Guided Unsupervised Feature Learning for Scene Classification2014 · IEEE Transactions on Geoscience and Remote Sensing · 542 citations

Sources and credits

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  1. Bo Du | alphaXiv alphaxiv.org. Checked 18 October 2026.
  2. [1812.00645] Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images arxiv.org. Checked 18 October 2026.
  3. Research Track Papers – KDD 2025 kdd.org. Checked 18 October 2026.
  4. HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model whu-sigma.github.io. Checked 18 October 2026.
  5. A DeepSeek-powered AI system for automated chest radiograph interpretation in clinical practice | Nature Communications nature.com. Checked 18 October 2026.