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FACULTY Assistant Professor
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Xuemin Tan

October 6, 2022 

【General information】

Name:Xuemin Tan

Professional title:Lecturer

Date of birth:1987.04

Email:tan_xue_min@126.com

【Personal profile】

Doctor of Engineering, graduated from Chongqing University majoring in Electrical engineering. From 2015 to 2017, I worked in Chengdu Power Supply Company. From 2017 to now, I have been a teacher in the School of Automation, Chengdu University of Information Technology. Main courses: Introduction to Engineering, Electrical system computer simulation, smart grid big data, etc. The first author has published 6 papersand granted a number of patents. Her research interests include robot path planning, machine learning, fault diagnosis, etc.

【Research interests】

Machine learning,pattern recognition,fault diagnosis,etc.

【Major achievements】

Books and Papers:

[1] Xuemin Tan, Minyou Chen, Li Zhang and Wenjuan jian. Batch mode MS-based and entropy- based active learning for multiclass brain-computer interface (BCI)[J]. Journal of Computational Information Systems, 2014, 10(21): 9153-9160.

[2] Xuemin Tan, Minyou Chen and John Q. Gan. A co-training algorithm based on modifiedfisher’s linear discriminant analysis[J]. Intelligent data analysis, 2015, 9(2):279-292.

[3] Xuemin Tan, Chao Guo, Tao Jiang, Kechang Fu. A sequential updating self-training with segmented common spatial pattern algorithm for brain computer interface system[J]. Journal of medical imaging and health informatics.2019, 9(4):715-723.

[4]Xuemin Tan, Chao Guo. Classification of motor imagery EEG signals by semi-supervised learning[J].Computer Engineering and Applications.2020,56(3):139-145.

[5] Xuemin Tan, Chao Guo, Tao Jiang, Kechang Fu, Nan Zhou, Jianying Yuan and Guoliang Zhang. A new semi-supervised algorithm combined with MCICA optimizing SVM for motion imagination EEG classification[J]. Intelligent data analysis, 2021, 25(4):863-877.

[6] Xuemin Tan, Chao Guo, Ke Wang, Fu Wan. A novel two-stage dissolved gas analysis fault diagnosis system based semi-supervised learning[J]. High Voltage, 2022.7(4): 676-691.

Patents and Awards:

[1] XueminTan, NanZhou, ChaoGuo.AUHF or ultrasonic local placement test bracket for a high voltage cable terminal (ZL201920849979.8), 2020.04.

[2] Xuemin Tan, Chao Guo,Nan Zhou.Ahigh voltage cable terminal high frequency current local discharge test sensing device (ZL201920850062.X), 2020.02.

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