Jinyu Tian

1         Education

  • PhD in Computer Science, University of Macau, China, Aug. 2017-
  • S. in Mathematics, Chong Qing University, China, Sep. 2014 – Jul. 2017
  • E. in Mathematics, Chong Qing University, China, Sep. 2010 – Jul. 2014

2         Research Interests

  • Adversarial Machine Learning
  • Subspace Learning
  • Manifold Learning
  • Optimization Algorithm and Theory

3         Publication

3.1        Journal paper

  1. Tian J, Zhang T, Qin A, et al, “Learning the distribution preserving semantic subspace for clustering”. IEEE Trans. on Image Processing, 2017, 26(12): 5950-5965. (SCI)
  2. Qin A, Shang Z, Tian J, et al, “Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification”. IEEE Geoscience and Remote Sensing Letters, 2019, 16(2): 241-245

3.2        Conference paper

  1. M. Li, J. T. Zhou, X.W. Zheng, J.Y. Tian, Y. Y. Tang, “Robust Subspace Clustering with Independent and Piecewise Identically Distributed Noise Modeling”, to appear in CVPR 2019. (Oral)
  2. Qin A, Shang Z, Tian J, et al. “Using Graph-Based Ensemble Learning to Classify Imbalanced Data”, 3rd IEEE International Conference on Cybernetics (CYBCONF). IEEE, 2017: 1-6.
  3. Qin A, Shang Z, Tian J, et al. “Maximum correntropy criterion for convex anc semi-nonnegative matrix factorization”, IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2017: 1856-1861.

3.3        Journal Reviewer

  1. IEEE Transactions on Image Processing
  2. International Journal of Pattern Recognition and Artificial Intelligence
  3. International Journal of Wavelets Multiresolution and Information Processing

4         Contact Details

Faculty of Science and Technology

University of Macau, E11

Avenida da Universidade, Taipa,

Macau, China

Room: E11-2024A

Telephone: (853) 6580-0305

Email: yb77405@um.edu.mo