It has been a long way.
Machine Learning, Safety Verification, Computer Vision, Knowledge Graph.
S. Zeng, B. Zhang, Y. Zhang and J. Gou. Dual Sparse Learning via Data Augmentation for Ro- bust Facial Image Classification, International Journal of Machine Learning and Cybernetics, 11(3): 1717–1734 (2020).
Y. Zhang, S. Zeng, W. Zeng and J. Gou. GNN-CRC: Discriminative Collaborative Representation- Based Classification via Gabor Wavelet Transformation and Nearest Neighbor, J. Shanghai Jiao Tong Univ. (Sci.), 23(5): 657-665 (2018).
F. Wang, W. Ruan, Y. Zhang and Y. Zhang. Dynamic Fast Adversarial Training. [CVPR Under review]
Y. Zhang, F. Wang, W. Ruan. Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks, CIKM 2020 AnalytiCup Workshop. [Code]
Y. Zhang, W. Ruan, F. Wang, and X. Huang. Generalizing Universal Adversarial Attacks Beyond Additive Perturbations, The IEEE International Conference on Data Mining (ICDM 2020), November 17-20, 2020, Sorrento, Italy. [Code] [Video]
S. Zeng, B. Zhang, Y. Zhang and J. Gou. Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification, Proceedings of The 10th Asian Conference on Machine Learning, PMLR 95:502-517, 2018.
Y. Zhang, S. Zeng, W. Zeng and H. Jiang. Synthetic Training Samples for Enhanced Locality-Constrained Dictionary Learning, The 2nd Asian Conference on Artificial Intelligence Technology (2018), Chongqing, China, Jun. 8-10. The Journal of Engineering, (2018) 2018(16): 1761-1767. [Oral Presentation, Best Session Paper]
Y. Zhang, S. Zeng, W. Zeng and J. Gou. GNN-CRC: Discriminative Collaborative Representation based Classification via Gabor Wavelet Transformation and NN. International Conference on Progress in Informatics and Computing (IEEE-PIC) (2017), Nanjing, China, Dec. 15-17. [Oral Presentation]