Zhijing Ye

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Introduction

Dr. Zhijing Ye is currently an Assistant Professor with the Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China. He received the B.Sc. and the Ph.D. degrees in mathematics from Huazhong University of Science and Technology, Wuhan, China, in 2011 and 2016, respectively. His research focuses on high-dimensional data analysis, target classification and recognition, rational approximation, and statistical learning algorithms.
He has successfully led multiple research projects, including the Macau Science and Technology Development Fund, National Natural Science Foundation of China (Youth Program), Wuyi University Hong Kong and Macau Joint Fund, Hubei Natural Science Foundation, and Central Universities' Basic Research Fund. Ye has published about 20 peer-reviewed papers in prestigious international journals, such as IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), IEEE Transactions on Signal Processing, and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS). His work advances theoretical and applied methodologies in data science and remote sensing.

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Academic Qualification

-- Ph.D. in Computational Mathematics, Huazhong University of Science and Technology, China, 2011.09–2016.06
-- Bachelor in Statistics, Huazhong University of Science and Technology, China, 2007.09–2011.06

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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

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Research Interests

Deep learning, statistical learning, and high-dimensional data analysis

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Funded Projects

• Dec 2025 – Dec 2027
  [Macau FDCT] Hyperspectral Functional Graph Network Construction and Intelligent Interpretation of Geographical Factors for Hengqin-Macau Land–Sea Integrated Governance, PI.
• Jun 2023 – Jun 2026
  [Wuyi University–Guangdong Hong Kong/Macau Joint Fund] Terahertz and Machine Vision Fusion for Authentication of Food and Pharmaceuticals, PI.
• Jan 2024 – Jan 2026
  [Macau FDCT] Deep Dictionary Learning-Based Hyperspectral Target Detection in Complex Scenarios, PI.
• Jan 2023 – Jan 2024
  [Macau FRG] Deep Adaptive Fourier Decomposition Algorithms for Hyperspectral Image Compression, Object Detection and Recognition, PI.
• Jan 2021 – Dec 2023
  [NSFC Youth Project] Research on Functional Spectral-spatial Feature Extraction Methods for Hyperspectral Image Classification, PI.
• Mar 2020 – Mar 2022
  [Hubei Provincial Natural Science Foundation – Youth Program] Function Data-Driven Classification Algorithms for Hyperspectral Images, PI.
• Jan 2017 – Oct 2018
  [Fundamental Research Funds for the Central Universities – FRFCU] Research on Remote Sensing Image Classification Algorithms Based on Kernel Machine Learning, PI.

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Supervised Students

Graduated

• 2022.09–2024.08 陈政霖 — 理学硕士 (资讯科技)
  Current position: HengQin Public Security Bureau

Currently Enrolled

• 2023.09–present 张宇清 — 理学博士
• 2024.09–present 薛紫轩 — 空间大数据分析学硕士（太空科学研究所）
• 2024.09–present 王博宇 — 空间大数据分析学硕士（太空科学研究所）
• 2025.09–present 张志远 — 理学博士

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Publications

1. 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, doi: 10.1109/TMM.2026.3668544.
2. 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, 2026, DOI: 10.1109/TIP.2026.3657203.
3. 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, doi: 10.1109/JSTARS.2025.3649558.
4. 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. Contemporary Mathematics, Accepted, 2025.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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).
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.