1. S. Zeng, B. Zhang*, and J. Gou, Deep Collaborative Weight-based Classification, arXiv (2018), [arxiv:1802.07589]
2. S. Zeng, B. Zhang*, Y. Lan and J. Gou, Robust Collaborative Representation based Classification via Regularization of Truncated Total Least Squares, Neural Computing & Applications (2018), [SCI, First Online (DOI)]
3. 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, Code, Paper]
4. H. Ma, J. Gou, X. Wang, J. Ke, S. Zeng, Sparse coefficient-based k-nearest neighbor classification, IEEE Access (2017) 5:16618-16634. 10.1109/ACCESS.2017.2739807. [SCI, Paper]
5. 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, Code, Paper]
6. S. Zeng, J. Gou, X. Yang, Improving sparsity of coefficients for robust sparse and collaborative representation-based image classification, Neural Computing & Applications (2017), doi:10.1007/s00521-017-2900-4. [SCI, Code, Paper]
7. 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, Code, Paper]
8. 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, Code, Paper]
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2. 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]

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]

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

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