[栏目图片]

Yongquan Xia

     
Updated:: 2023-12-14  Clicks: 10  

Yongquan Xia

Associate Professor

ADDRESSNo.136 KeXue Avenue, Zhengzhou, Henan Province, PRC. Zip Code:450000

PHONE+86-13633845325

E-mail2007023@zzuli.edu.cn

Research Field and Interests

Image process and pattern recognition, machine learning

Education Background

2000.09--2003.07, Shenyang Science & Engineering UniversityComputer software and theoryBS degree

2003.09——2007.01Nanjing University of Science and Technology, Ph.D.

Teaching Courses

Software engineering, Introduction to Electronic Information, System analysis and design, Digital image processing

Main Publications

[1] Xia, YQ; Dong, JH; (...); Xu, RY. An Adaptive Channel Selection and Graph ResNet Based Algorithm for Motor Imagery Classification. May 202314 (5) , pp.240-248.

[2] Xia, YQ; Li, YQ; (...); Dong JH. Image segmentation for blind lanes based on improved SegNet model, JOURNAL OF ELECTRONIC IMAGING, 2023, 32 (1).

[3] Xia, YQ; Li, YQ; (...); Ma, SY. Research on Blind Obstacle Ranging based on Improved YOLOv5, Oct 2022 , 13 (10) , pp.535-542

[4] Xia, Yongquan, Li, Yaobin; Li, Chen, Intelligent diagnose system of wheat diseases based on android phone. Journal of Information and Computational Science, 2015, 12(18), pp6845-6852.

[5] Xia, Yongquan; Li, Yiqing; Dong, Jianhua. Research on Blind path Obstacle ranging based on improved ORB Feature Matching. 3rd International Conference on Geology, Mapping and Remote Sensing, ICGMRS 2022, pp: 253-259.

Research Projects

[1] Research on Parallel Extraction Technology of Image Features. Henan Province Science and Technology Research Project (No. 172102410080).

[2] Analysis of Vehicle Model Data Applied to Film Cutting and Installation, Henan Zhongqi Environmental Protection Technology Co., Ltd (Enterprise Projects)

Honors:

Trade union activists(2022),Prominent teacher2016-2018




Copyright © 2014 Zhengzhou University of Light Industry, China. All Rights Reserved.
Add: No.136 Ke Xue Avenue,Zhengzhou,HenanProvince,PRC. Zip Code:450000
It is recommended that you use IE7 and above version of the browser to visit the web site.