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assistant professor jinyu tian

school of computer science and engineering, faculty of innovation engineering

macau university of science and technology

office: a306b

e-mail:

• 2017.08 - 2022.01 university of macau, macau, china, ph.d., computer science.
• 2014.09 - 2017.07 chongqing university, chongqing, china, m.s., mathematics.
• 2010.09 - 2014.07 chongqing university, chongqing, china, b.s., mathematics.

computer programming, machine learning, optimization method

• adversarial machine learning: adversarial detection, white-box attack, and physical attack.
• security of deep learning: ip protection of deep models, watermarking of deep models.
• subspace learning: subspace manifold representation, robust subspace learning.

1. j. y. tian, t. p. zhang, a. y. qin, z. w. shang, and y. y. tang, “learning the distribution preserving semantic subspace for clustering”, ieee transactions on image processing, 2017. (if: 10.51; jcr: q1; ccf: a)
2. j. y. tian, j. t. zhou, and j. duan, “probabilistic selective encryption of convolutional neural networks for hierarchical services”, ieee conference on computer vision and pattern recognition, 2021. (ccf: a)
3. j. y. tian, j. t. zhou, y.m. li, and j. duan, “detecting adversarial examples from sensitivity inconsistency of spatial-transform domain”, thirty-fifth aaai conference on artificial intelligence, 2021. (ccf: a)
4. j. y. tian, j. t. zhou, and j. duan, “providing hierarchical services of convolutional neural networks via probabilistic selective encryption”, ieee transactions on services computing, 2021. (if: 8.471; jcr: q1; ccf: b)
5. w.w. sun, and j. t. zhou, l. dong, j. y. tian, j. liu, “optimal pre-filtering for improving shared images in online social networks”, ieee transactions on image processing, 2017. (if: 10.51/2020; jcr: q1; ccf: a)
6. y. m. li, j. t. zhou, j. y. tian, x. w. zheng and y. y. tang, “weighted error entropy based information theoretic learning for robust subspace representation”, ieee transactions on neural networks and learning systems, 2021. (if: 8.79/2019; jcr: q1; ccf: b)
7. y. m. li, j. t. zhou, x. w. zhen, j. y. tian, and y. y. tang. “robust subspace clustering with independent and piecewise identically distributed (i.p.i.d.) noise modeling”, ieee conference on computer vision and pattern recognition, 2021. (ccf: a; oral, ar 5.6%)
8. a. y. qin, z. w. shang, j. y. tian, y. l. wang, t. p. zhang, and y. y. tang, “spectral–spatial graph convolutional networks for semisupervised hyperspectral image classification”. ieee geoscience and remote sensing letters, 2019. (if: 4.67; jcr: q1)
9. a. y. qin, z. w. shang, j. y. tian, y. l. wang, t. p. zhang, and y. y. tang, “using graph-based ensemble learning to classify imbalanced data”, ieee international conference on cybernetics, 2017.
10. a. y. qin, z. w. shang, j. y. tian, y. l. wang, and y. y. tang, “maximum correntropy criterion for convex anc semi-nonnegative matrix factorization”, ieee international conference on systems, man, and cybernetics, 2017.

1. natural science award, the third prize, macau, 2022.
2. session chair of international conference on wavelet analysis and pattern recognition.
3. reviewer of journals and conferences, including
   ieee trans. on image processing
   ieee trans. on multimedia
   international journal of pattern recognition and machine learning
   ieee conference on computer vision and pattern recognition
   acm conference on multimedia

1. secretary of institute of electrical and electronics engineers (ieee), macau section.