Zeyu Cao

Position title: Post-Doc

Email: zcao96@wisc.edu

Google Scholar
Google Scholar

Research Interests

Hyperspectral Image Processing, Object Detection and Segmentation, Advanced Deep Learning Algorithm


  • Cao Z, Li X, Feng Y, et al. ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification[J]. Neurocomputing, 2021, 460: 71-83.
  • Cao Z, Li X, Jiang J, et al. 3D convolutional siamese network for few-shot hyperspectral classification[J]. Journal of Applied Remote Sensing, 2020, 14(4): 048504.
  • Li X, Cao Z, Zhao L, et al. ALPN: Active-Learning-Based Prototypical Network for Few-Shot Hyperspectral Imagery Classification[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 19: 1-5.
  • Cao Z, Li X, Zhao L. Semisupervised hyperspectral imagery classification based on a three-dimensional convolutional adversarial autoencoder model with low sample requirements[J]. Journal of Applied Remote Sensing, 2020, 14(2): 024522.