Yu Zhou

Orcid: 0009-0006-9950-4728

Affiliations:
  • Xidian University, School of Electronic Engineering, Xi'an, China
  • National University of Defense Technology, Changsha, China (PhD 2013)


According to our database1, Yu Zhou authored at least 13 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Spatial-Spectral Aggregation Transformer With Diffusion Prior for Hyperspectral Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., April, 2025

Meta-Collaborative Learning for Arbitrarily Scaled Hyperspectral Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2025

Toward Federated Customized Neural Architecture Search for Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

Physical Adversarial Background Patch Against Aerial Object Detection Based on Pareto Efficiency.
IEEE Trans. Geosci. Remote. Sens., 2025

Adaptive Center-Focused Hybrid Attention Network for Change Detection in Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2025

D3PM: Dual-Stream Denoising Diffusion Probabilistic Model for Change Detection in Multimodal Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2025

Change Masked Modality Alignment Network for Multimodal Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2025

2024
ShiftAttack: Toward Attacking the Localization Ability of Object Detector.
IEEE Trans. Circuits Syst. Video Technol., December, 2024

Personalized Multiparty Few-Shot Learning for Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Collaborative Self-Supervised Evolution for Few-Shot Remote Sensing Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Toward Multiparty Personalized Collaborative Learning in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2024

Unsupervised Domain Adaptation for Cross-Scene Hyperspectral Image Classification Based on Decoupled Contrastive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

2017
An adaptive coevolutionary memetic algorithm for examination timetabling problems.
Int. J. Bio Inspired Comput., 2017


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