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README.md

Publications

  1. 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]
  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, Code, 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]
  9. 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]
  10. 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. S. Zeng, B. Zhang*, Y. Zhang and J. Gou, Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification, PMLR 2018. [Code, Pre-printed arXiv:1802.07589]
  2. 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)]
  3. 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]
  4. 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

Scholarly

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