- 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.
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- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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%)
- 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)
- 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.
- 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.
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