I am pursuing Ph.D. in UNIVERSITY of MACAU since Jan, 2018.

Publications

1. S. Zeng, B. Zhang*, J. Gou, and Y. Xu (2021). Regularization on Augmented Data to Diversify Sparse Representation for Robust Image Classification. IEEE Transactions on Cybernetics, Online, pp. 1–14.[TOP in AI, IF=11.079, Paper (Online)]
2. Shaoning Zeng, Bob Zhang, et al. (2020). Learning Double Weights via Data Augmentation for Robust Sparse and Collaborative Representation-based Classification. Multimedia Tools and Applications, 79, pp. 20617–20638. [Paper, Code]
3. S. Zeng, B. Zhang*, Y. Zhang and J. Gou, Dual Sparse Learning via Data Augmentation for Robust Facial Image Classification. International Journal of Machine Learning and Cybernetics (2020). 11, pp. 1717–1734. [SCI, IF=3.844]
4. Q. Zhang, J. Zhou, J. He, X. Cun, S. Zeng, and B. Zhang*. A shell dataset, for shell features extraction and recognition. Scientific Data (2019), 6(1): 1-9. [SCI, IF=5.929] (Welcome to use the Shell dataset., and the paper - https://www.nature.com/articles/s41597-019-0230-3)
5. S. Zeng, B. Zhang*, Y. Lan and J. Gou, Robust Collaborative Representation based Classification via Regularization of Truncated Total Least Squares, Neural Computing & Applications (2019), 31(10):5689-5697. [SCI, IF=4.664, Code, Paper (DOI)]
6. S. Zeng, J. Gou, X. Yang, Improving sparsity of coefficients for robust sparse and collaborative representation-based image classification, Neural Computing & Applications (2018), 30(10):2965–2978. doi:10.1007/s00521-017-2900-4. [SCI, IF=4.664, Code, Paper] (Web of Science: 11+)
7. 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.) (2018). 23(3):1-9. doi:10.1007/s12204-018-1947-4. [EI, Paper, Code]
8. S. Zeng, B. Zhang* and Y. Du, Joint Distances by Sparse Representation and Locality-Constrained Dictionary Learning for Robust Leaf Recognition, Computers and Electronics in Agriculture (2017). 142(B):563-571. 10.1016/j.compag.2017.11.013. [SCI, IF=3.171, Code, Paper] (Web of Science: 1+)
9. S. Zeng, J. Gou, L. Deng, An Antinoise Sparse Representation Method for Robust Face Recognition via Joint l1 and l2 Regularization, Expert Systems with Applications (2017) 82:1-9. doi:10.1016/j.eswa.2017.04.001. [SCI, IF=4.292, Code, Paper] (Web of Science: 11+)
10. S. Zeng, X. Yang, J. Gou, Multiplication fusion of sparse and collaborative representation for robust face recognition, Multimedia Tools and Applications (2017) 76(20):20889–20907. doi:10.1007/s11042-016-4035-5. [SCI, IF=2.101, Code, Paper] ( Web of Science: 9+)
11. S. Zeng, X. Yang, J. Gou, Using Kernel Sparse Representation to Perform Coarse-to-Fine Recognition of Face Images, Optik - International Journal for Light and Electron Optics (2017) 140:528–535. doi:10.1016/j.ijleo.2017.04.070. [SCI, IF=1.914, Code, Paper] (Web of Science: 3+)
12. S. Zeng, X. Yang, Weighted average integration of sparse representation and collaborative representation for robust face recognition, Computational Visual Media (2016) 2(4):357-365. doi:10.1007/s41095-016-0061-5. [Code, Paper]
13. S. Zeng, X. Yang, J. Gou, J. Wen, Integrating absolute distances in collaborative representation for robust image classification, CAAI Transactions on Intelligence Technology (2016) 1(2):189–196. [Code, Paper]

Conferences

1. J. Zhou(1), S. Zeng(1) and B. Zhang*, Two-stage Image Classification Supervised by a Single Teacher Single Student Model, 30th British Machine Vision Conference (BMVC), 2019.9.9th-12th, Cardiff University. [BMVC 2019 Website, Code, Paper]
2. S. Zeng, B. Zhang*, Y. Zhang and J. Gou, Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification, Volume 95:502-517, Asian Conference on Machine Learning, 2018. [Code, Paper]
3. Y. Zhang, S. Zeng*, W. Zeng, and H. Jiang, Synthetic Training Samples for Enhanced Locality-Constrained Dictionary Learning, The Journal of Engineering (2018). doi:10.1049/joe.2018.8311. [EI, CA, Student Paper accepted as Oral Presentation, Best Paper, Code (Comming)]
4. Z. Chi, S. Zeng*, J. Gou. Fusion of Probabilistic Collaborative and Sparse Representation for Robust Image Classification. International Conference on Security, Pattern Analysis, and Cybernetics (IEEE-SPAC) (2017):1-6, Shenzhen, China, Dec. 15-17. [Student Paper accepted as Poster]
5. 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):1-7, Nanjing, China, Dec. 15-17. [Student Paper accepted as Oral Presentation]

Education Papers

1. 曾少宁. 基于GitHub平台的协同式实验教学方法[J]. 计算机教育, 2016(12):144-148. [Code, Paper]
2. 曾少宁,李慧,袁秀莲. 基于GitHub平台的问题驱动式编程实验教学方法[J]. 计算机教育, 2017(9). [Code, Paper]

Dataset copies

Senthil IRTT 1.2 - https://github.com/zengsn/research/tree/master/Senthil_IRTT_12

Google Scholar

https://scholar.google.com/citations?user=4ySzHlYAAAAJ

Contact

学术会议库 微信小程序