近年科研论文:
1. Yang, X., et al. Preferred Vector Machine for Forest Fire Detection. Pattern Recognition, 2023, 143, 109722. (SCI期刊, JCR一区)
2. Wang, Y.(研究生), Yang, X.(通讯作者), et al. Individual tree segmentation and tree-counting using supervised clustering. Computers and Electronics in Agriculture, 2023, 205, 107629. (SCI期刊, JCR一区) (注:汪洋,男,2023年毕业,现就职于南京莱斯信息)
3. Yang, X., et al. High-Precision Real-Time forest fire video detection using One-Class mode. Forests, 2022, 13(11), 1826. (SCI期刊, JCR二区)
4. Yang, X., et al. Pixel-level automatic annotation for forest fire image. Engineering Applications of Artificial Intelligence, 2021, 104, 104353. (SCI期刊, JCR二区)
5. Yang, H.(研究生), Yang, X. (通讯作者), et al. Robust Plane Clustering Based on L1-Norm Minimization. IEEE Access, 2020, 8: 29489-29500. (SCI期刊,JCR二区)(注:杨红鑫,女,2020年毕业,主持江苏省研究生创新项目1项,4篇1作、2篇2作论文成功申博,现在加拿大攻博)
6. Yang, X., et al. A random weighted Plane-Gaussian artificial neural network. Neural Computing and Applications, 2019, 31(12): 8681–8692. (SCI期刊, JCR二区)
7. Yang, H.(研究生), Yang, X., et al. Finite norm large margin classifier. International Journal of Machine Learning and Cybernetics, 2019, 10(9): 2449–2457 (SCI期刊, 2019年JCR二区)
8. Yang, X., et al. Piecewise Linear Regression Based on Plane Clustering. IEEE Access, 2019, 7: 29845-29855. (SCI期刊,2019年JCR二区)
9. 杨绪兵, 葛彦齐(本科生)等. 基于矩阵模式的林火图像半监督学习算法.图学学报, 2019, 40(05):835-842. (SCD&CSCD)(注:葛彦齐,2017级本科生,主持的大学生创新项目验收优秀,现为电子科技大学研究生)
10. 周健航(本科生),杨绪兵等.马氏度量下局部化广义特征值最接近支持向量机. 南京师大学报(自然科学版), 2018, 41(04): 65-71. (SCD)(注:周健航,2014级本科生,现在澳门大学攻博,其个人主页:https://variablemental.github.io/richzhou/)