Ye Zhijing

Assistant Professor(Research) Ye, Zhijing

School of Computer Science and Engineering, Faculty of Innovation Engineering

Macau University of Science and Technology

 

Office: A304b

E-mail: zjye@must.edu.mo

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

B.Sc. Courses
Calculus, Linear Algebra, Probability and Statitics, Numeric Calculation

M.Sc. Courses
Numerical linear algebra, Machine learning

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 2019: Visiting scholar, University of Iceland

Academic Publication (Selected)

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.

Faculty Staff