严慧 - 南京理工大学 - 计算机科学与工程学院

个人简介

工作经历伊利诺伊大学芝加哥分校 2018.08-2019.08 访问学者南京理工大学 2018.05 - 今副教授，硕导，博导南京理工大学 2015.05 - 2018.05 副教授，硕导教育经历博士南京理工大学计算机技术应用 2005/09-2011/03 访问学生新加坡国立大学计算机视觉 2010/04-2010/10 学士南京理工大学计算机通信 2001/09-2005/07

研究领域

多源多视角学习、在线学习、大数据分析、数据挖掘

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] Hui Yan, Siyu Liu, Philip S Yu. From Joint Feature Selection and Self-Representation Learning to Robust Multi-view Subspace Clustering. ICDM 2019 [2] Hui Yan, Jian Yang, Jingyu Yang. Robust joint feature weights learning framework. IEEE Trans. on Knowledge and Data Engineering, 2016, 28(5):1327-1339 [3] Hui Yan, Jian Yang. Locality preserving score for joint feature weights learning. Neural Networks, 2015, 69:126-134 [4] Hui Yan, Jian Yang . Sparse discriminative feature selection. Pattern Recognition, 2015, 48:1827-1835 [5] Hui Yan, Jian Yang. Joint Laplacian feature weights learning. Pattern Recognition, 2014, 47:1425–1432 [6 Hui Yan, JianYang. Sparse discriminative feature weights learning. Neurocomputing, 2016, 173:1936-1942 [7] Hui Yan, Jingyu Yang, Xiaotong Yuan, Shuicheng Yan. Correntropy based Feature Selection Using Binary Projection. Pattern Recognition, 44 (12), 2011, pp.2834-2842 [8] Hui Yan, Zhong Jin, Jian Yang. Sparse representation preserving for unsupervised feature selection. International Conference on Pattern Recognition, 2014, Stockholm, Sweden [9] Guangsheng Xia, Hui Yan*, Jian Yang. Sparse preserving feature weights learning. Neurocomputing, 2016, 185:45-52 [10] Zheng Wei , Hui Yan* , Jian Yang，Jiangyu Yang. Robust Unsupervised Feature Selection by Nonnegative Sparse. International Conference on Pattern Recognition, 2016