Academic Qualification

Ph.D. in Computational Mathematics, Huazhong University of Science and Technology, China, 2016

Bachelor in Statistics, Huazhong University of Science and Technology, China, 2011

Teaching Area

• University Calculus I & II,

• Discrete Mathematics,

• Mathematic and Logic,

• Information Technology

Research Area

• Machine learning, image processing and high-dimensional data analysis

Working Experience

• Aug. 2022 - present: Assistant Professor, Macau University of Science and Technology

• Jul. 2016 - Aug. 2022: Lecturer, Wuhan University of Technology

• Aug. 2019 - Dec 2019: Visiting scholar, University of Macau

• Feb. 2015 - May 2015: Visiting scholar, University of Iceland

Academic Publication

1. Z. Ye, L. Zhang, J. Peng, J. A. Benediktsson and T. Qian, Orthogonal Rational Basis Function-based Discriminant Analysis for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 64, 2026, Art no. 5514118, doi: 10.1109/TGRS.2026.3694091.

2. B. Wang, Z.Ye*, Zi.Xue; B. Yang et al., Mixed KAN Convolutional Network with Superpixel-Based Multihead Graph Learning for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 5518313-5518313, 2026, Art no. 5518313, doi: 10.1109/TGRS.2026. 3705787.

3. Y. Ning, N. Chen, J. Peng, W. Sun and Z. Ye, Multi-Contrastive and Dynamic Topological Matching Network for Cross-Scene Hyperspectral Image Classification, IEEE Transactions on Multimedia, 2026, doi: 10.1109/TMM.2026.3668544.

4. Y. Huang, J. Peng, W. Sun, N. Chen, Z. Ye and Q. Du, Domain-aware adversarial domain augmentation network for hyperspectral image classification, IEEE Transactions on Image Processing, vol. 35, pp. 1275-1289, 2026, doi: 10.1109/TIP.2026.3657203.

5. Z. Xue, Z. Ye*, B. Wang, Y. Zhang, C. Zheng and J. Peng, Enhancing Hyperspectral Image Classification with Spectral-Spatial Convolutional FourierKAN Transformer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 3673-3686, 2026, doi: 10.1109/JSTARS.2025.3649558.

6. X. Zha, C. Zheng, Z. Liu, Q. Li and Z. Ye. Exploring the Effectiveness of Regularized Representation-Based Feature Selection for PCR in Different Years with THz-TDS. Contemp. Math., 2026:7(2):2332-50.

7. C. Zheng, H. Zheng, Z. Ye* and Q. Li. Chenpi years identification based on terahertz spectral data and time series deep learning. Applied Food Research, 2025: 101463.

8. Y. Zhang, Z. Ye*, C. Zheng, B. Yang, J. Peng and W. Sun, Hyperspectral Marine Oil Spill Detection Network with Enhanced Superpixel Segmentation and Attention Mechanisms. IEEE Transactions on Geoscience and Remote Sensing, 2025, Art no. 4204213.

9. L. Wu, J. Peng, B. Yang, W. Sun and Z. Ye, AIWSEN: Adaptive Information Weighting and Synchronized Enhancement Network for Hyperspectral Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 2025, Art no. 5503412.

10. J. Bai, N. Chen, J. Peng, L. Wu, W. Sun and Z. Ye, HCAFNet: Hierarchical Cross-Modal Attention Fusion Network for HSI and LiDAR Joint Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, pp. 9522-9532.

11. R. Ming, N. Chen, J. Peng, W. Sun and Z. Ye, Semantic Tokenization-Based Mamba for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, pp. 4227–4241.

12. Z. Ye, L. Zhang, C. Zheng, J. Peng and J. A. Benediktsson, Small-Sample Classification for Hyperspectral Images With EPF-Based Smooth Ordering. IEEE Transactions on Geoscience and Remote Sensing, 2024, Art no. 5525814.

13. B. Yang, S. Pan, W. Sun, Z. Guo, Z. Ye and J. Peng, FCFDA: Fine-Coarse-Fine Progressive Graph Framework with Distribution Alignment for Hyperspectral Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 2024, Art no. 5538714.

14. C. Zheng, X. Zha, S. Cai, J. Cui, Q. Li, Z. Ye*, Interval-based sparse ensemble multi-class classification algorithm for terahertz data. Heliyon, 2024, 10(6).

15. L. Wu, J. Peng, B. Yang, W. Sun and Z. Ye, SSMIF: Enhanced Spatial-Spectral Mamba Interactive Fusion Network for Hyperspectral Change Detection. 2024 IEEE ICSIDP, Zhuhai, China.

16. C. Zheng, Z. Ye*, J. Cui & J. Peng, Two-stage hyperspectral image classification using few labeled samples. IEEE Geoscience and Remote Sensing Letters, 2023, 21: 5504105.

17. F. Xue, F. Tan, Z. Ye*, J. Chen & Y. Wei, Spectral-spatial classification of hyperspectral images using improved functional principal component analysis. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 5507105.

18. H. Li, H. Huang, Z. Ye, & H. Li, Hyperspectral image classification using adaptive weighted quaternion Zernike moments. IEEE Transactions on Signal Processing, 2022, 70: 701–713.

19. Z. Ye, T. Qian, L. Zhang*, H. Li, L. Dai & J. A. Benediktsson, Functional feature extraction for hyperspectral image classification with adaptive rational function approximation. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(9): 7680–7694.

20. X. Zhang, Y. Wei, H. Yao, Z. Ye, Y. Zhou & Y. Zhao. Locally homogeneous covariance matrix representation for hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 9396–9407.

21. Z. Ye, J. Chen, H. Li, Y. Wei*, G. Xiao & J. A. Benediktsson, Supervised functional data discriminant analysis for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(2): 841–851.

22. L. Dai, Z. Ye, L. Zhang & T. Qian. A novel text encryption algorithm based on core adaptive Fourier decomposition. Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence. 2019: 491–497.

23. Z. Ye, H. Li*, Y. Song, J. A. Benediktsson & Y. Y. Tang, Hyperspectral image classification using principal components-based smooth ordering and multiple 1D interpolation. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(2): 1199–1209.

24. Z. Ye, H. Li*, Y. Song, J. Wang & J. A. Benediktsson, A novel semi-supervised learning framework for hyperspectral image classification. International Journal of Wavelets, Multiresolution and Information Processing, 2016, 14(2): 1640005.

25. H. Li, Z. Ye* & G. Xiao, Hyperspectral image classification using spectral-spatial composite kernels discriminant analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 2341–2350.