Title：Lecturer

E-mail：yangtao@ustb.edu.cn

Office：No. 1101 Ji Dian Xin Xi Building

Education：

1) 2010/9 - 2016/1，University of Science and Technology Beijing，Control Science and Engineering，Ph.D.

2) 2006/9 - 2010/6，University of Science and Technology Beijing，Control Science and Engineering，Bachelor degree.

Work Experience：

1) From 2018 up to now，University of Science and Technology Beijing，School of Automation and Electrical Engineering，Lecturer.

2) 2016 - 2018，University of Science and Technology Beijing，Post Doc.

Research Interests：

1) Manifold Learning.

2) Data Mining and Algorithm.

3) Image Processing and Application.

Courses：

1) ‘Software Engineering’

Selected Publications：

[1] Yang Tao, Fu Dongmei, Li Xiaogang. Manifold regularized multiple kernel learning with hellinger distance[J]. Cluster Computing, 2018.

[2] Yang Tao, Fu Dongmei, Li Xiaogang. Semi-supervised classification of multiple kernels embedding manifold information[J]. Cluster Computing, 2017, 20(4): 1-10.

[3] Yang Tao, Fu Dongmei. Semi-supervised classification based on p-norm multiple kernel learning with manifold regularization[J]. Journal of Systems Engineering and Electronics, 2016, 27(6): 1315-1325.

[4] Yang Tao, Fu Dongmei, Wu Chunhong. Laplacian Embedded Infinite Kernel Model for Semi-Supervised Classification[J]. International Journal of Pattern Recognition & Artificial Intelligence, 2016, 30(10): 1650022, 1-18.

[5] Yang Tao, Fu Dongmei. Pan Shu. Pedestrian Tracking for Infrared Image Sequence Based on Trajectory Manifold of Spatio-temporal Slice[J]. Multimedia tools and applications, 2016, 76(01): 1-15.

[6] 杨焘, 付冬梅. 流形正则化多核模型的模糊红外目标提取[J]. 工程科学学报, 2016, 38(6): 876-885.

[7] Yang Tao, Fu Dongmei. Semi-supervised classification with Laplacian multiple kernel learning[J]. Neurocomputing, 2014, 140:19-26.

Selected Projects：

1) 2018, China Postdoctoral Science Foundation, Research on manifold to reduce the dimension of the data with Gaussian noises.

2) 2017-2018, Fundamental Research Funds for the Central Universities, Extraction of key features in atmospheric material corrosions based on manifold learning.

3) 2019 - 2021，The National Key R&D Program of China, NO. 2017YFB0702104. Participated.

4) 2018 – 2020, Ministry of Industry and Information Technology of China，Civil aircraft special scientific research - service bulletin preparation, management technology research and system platform development. Participated.

Honors & Awards：

1) Granted ‘Outstanding Graduate’ of Beijing general institutes of higher education, 2016.