Shutao Li

About

Shutao Li received the B.S., M.S., and Ph.D. degrees from the Hunan University, Changsha, China, in 1995, 1997, and 2001, respectively, all in electrical engineering.
In 2001, he joined the College of Electrical and Information Engineering, Hunan University. From May 2001 to October 2001, He was a Research Associate with the Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong. From November 2002 to November 2003, he was a Postdoctoral Fellow with the Royal Holloway College, University of London, Surrey, U.K., working with Prof. John Shawe-Taylor. From April 2005 to June 2005, he was a Visiting Professor with the Department of Computer Science, Hong Kong University of Science and Technology. He is currently a Full Professor with the College of Electrical and Information Engineering, Hunan University. He has authored or coauthored more than refereed papers.
His professional interests include compressive sensing, sparse representation, image processing, and pattern recognition.
He is a member of the Editorial Board of the Information Fusion and the Sensing and Imaging. He was a recipient of two 2nd-Grade National Awards at the Science and Technology Progress of China in 2004 and 2006.

Employment

Employment history is unavailable.

Education

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Projects & Funding

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Publications (205)

• Mixture-of-experts for robust multimodal object detection in UAV imagery with incomplete observations
  Information Fusion 2027 DOI: 10.1016/j.inffus.2026.104678
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• Multi-to-Uni modality knowledge distillation for remote sensing image semantic segmentation
  Information Fusion 2027 DOI: 10.1016/j.inffus.2026.104696
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• SSSMN: Spatial-spectral sparse Mamba network for efficient hyperspectral fusion super-resolution
  Pattern Recognition 2026 DOI: 10.1016/j.patcog.2026.113462
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• Correlation-aware learning self-guiding network for hyperspectral fusion imaging
  Information Fusion 2026 DOI: 10.1016/j.inffus.2026.104263
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• Dual-stream hierarchical Mamba for high-resolution hyperspectral fusion imaging
  Information Fusion 2026 DOI: 10.1016/j.inffus.2026.104244
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• Cross-Modal Knowledge Distillation for Oriented Object Detection in Modality Missing Visible-Infrared Images
  IEEE Transactions on Circuits and Systems for Video Technology 2026 DOI: 10.1109/TCSVT.2026.3670458
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• Bridging RGB-T image fusion and semantic segmentation via multi-task collaborative learning
  Information Fusion 2026 DOI: 10.1016/j.inffus.2025.103988
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• FlowMamba: Building Damage Assessment via Optics Flow-Based State Space Model
  IEEE Transactions on Circuits and Systems for Video Technology 2026 DOI: 10.1109/TCSVT.2025.3643612
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• AGSM: Anchor-Guided Spatial-Semantic Modeling for Remote Sensing Image Captioning
  IEEE Transactions on Circuits and Systems for Video Technology 2026 DOI: 10.1109/TCSVT.2026.3721331
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• Adaptive Contrastive Learning for Semisupervised Facial Expression Recognition
  IEEE Transactions on Computational Social Systems 2026 DOI: 10.1109/TCSS.2026.3659948
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