Biography

Contrags that our two papers are selected as ESI highly cited papers!

I am looking for self-motivated PhD students, research assistants, and visiting scholars! Please drop me an email if you are interested in working with me!

Dr. Zhang Xiaokang (张效康) received a Ph.D. degree in photogrammetry and remote sensing from Wuhan University in 2018. He is currently a specially appointed professor in the School of Information Science and Engineering, Wuhan University of Science and Technology and a Research Associate at The Hong Kong Polytechnic University. His research interests include remote sensing image analysis and machine learning. He has authored or coauthored more than 40 scientific publications in international journals and conferences. He is an IEEE Senior Member and a Reviewer for more than 30 renowned international journals.

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Interests
  • Remote sensing
  • Computer vision
  • Deep learning
Education
  • PhD in Photogrammetry and Remote Sensing, 2018

    Wuhan University

  • MEng in Geomatics Engineering, 2013

    Wuhan University

Experience

 
 
 
 
 
The Hong Kong Polytechnic University
Postdoctoral Fellow; Research Associate
May 2019 – May 2021 Hong Kong
 
 
 
 
 
The Chinese University of Hong Kong, Shenzhen
Postdoctoral Fellow; Research Scientist
Jun 2020 – Dec 2022 Shenzhen
 
 
 
 
 
Wuhan University of Science and Technology
Specially-appointed Professor
Mar 2023 – Present Wuhan
 
 
 
 
 
The Hong Kong Polytechnic University
Research Associate
Aug 2023 – Present Hong Kong

Academic Service

Reviewer for ISPRS Journal of Photogrammetry and Remote Sensing
Communication reviewer for National Natural Science Foundation of China

Recent Publications

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(2024). MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. IEEE Transactions on Geoscience and Remote Sensing.

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(2024). RSMamba: Visual State Space Model for Remote Sensing Image Semantic Segmentation. IEEE Geoscience and Remote Sensing Letters, 2024..

(2024). Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 2024.

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(2024). GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPM. IEEE Transactions on Geoscience and Remote Sensing,2024.

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(2024). A Multilevel Multimodal Fusion Transformer for Remote Sensing Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing,2024.

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(2023). Cloud-EGAN: Rethinking CycleGAN From a Feature Enhancement Perspective for Cloud Removal by Combining CNN and Transformer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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(2023). GCRDN: Global Context-Driven Residual Dense Network for Remote Sensing Image Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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(2023). Unsupervised Domain Adaptation Augmented by Mutually Boosted Attention for Semantic Segmentation of VHR Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing 61, 1-15.

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(2023). Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning. ISPRS Journal of Photogrammetry and Remote Sensing 197, 1-17.

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(2022). A Crossmodal Multiscale Fusion Network for Semantic Segmentation of Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 3463-3474.

(2022). Weakly Supervised Local-Global Anchor Guidance Network for Landslide Extraction With Image-Level Annotations. IEEE Geoscience and Remote Sensing Letters,20:1-5.

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(2022). Multilevel Deformable Attention-Aggregated Networks for Change Detection in Bitemporal Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 60:1-18.

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(2022). Federated Deep Learning With Prototype Matching for Object Extraction From Very-High-Resolution Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing 61, 1-16.

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(2022). Object-based sorted-histogram similarity measurement for detecting land cover change with VHR remote sensing images. IEEE Geoscience and Remote Sensing Letters 19, 1-5.

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(2022). Cloud removal in optical remote sensing imagery using multiscale distortion-aware networks. IEEE Geoscience and Remote Sensing Letters 19, 1-5.

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Conference

ICUI 2023
Oral and session chair
ICUI 2023
2022 IEEE WOCC
As the organizing committee member.
2022 IEEE WOCC
2021 IEEE COMCOMAP
As the session chair.
2021 IEEE COMCOMAP
2021 IGARSS
Oral presentation.
2021 IGARSS

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