万晓青，女，博士，讲师，硕士生导师。2019年毕业于哈尔滨工程大学，获得工学博士学位。主要研究方向为人工智能、深度学习、图像处理。科研方面：发表SCI论文近10篇，参加高水平学术会议3次，授权发明专利2项；主持横向项目2项，主持湖南省教育厅优秀青年项目1项，主持衡阳市计划性指导项目1项，主持衡阳师范学院校启动项目1项，参与项目4项 (包括国家自然科学基金，高等学校博士学科点专项基金，黑龙江省自然科学基金重点项目，湖南省教育厅项目)。教学方面：主要承担《人工智能》、《C语言程序设计》、《Python程序设计》、《人机交互的软件工程方法》等课程。2018年-2019年，国家公派赴美联合培养一年。荣获工业创新奖学金二等奖，博士研究生国家奖学金和博士研究生校奖学金；获得硕士研究生科研创新项目，荣获硕士研究生国家奖学金和硕士研究生校奖学金。
欢迎对人工智能、图像处理等方向感兴趣的同学报考硕士研究生，联系邮箱：lilikaixn@sina.com；QQ：839399484@qq.com。
代表作：
(1) Xiaoqing Wan, Feng Chen, Wu Liu, Yupeng He. Artificial gorilla troops optimizer enfolded broad learning system for spatial-spectral hyperspectral image classification, Infrared Physics & Technology, 2024.
(2) Xiaoqing Wan, Shuanghao Chen. Hyperspectral image classification using improved multiscale block local binary pattern and bi- exponential edge-preserving smoother, European Journal of Remote Sensing, 2023.
(3) Xiaoqing Wan, Chunhui Zhao. Spectral-Spatial Hyperspectral Image Classification Combining Multi-Scale Bi-Exponential Edge-Preserving Filtering and SUSAN Edge Detector, Infrared Physics & Technology, 2019, 102: 103055.
(4) Xiaoqing Wan, Chunhui Zhao. Local receptive field constrained stacked sparse autoencoder for classification of hyperspectral images, Journal of the Optical Society of America A, 2017, 34(6): 1011-1020.
(5) Xiaoqing Wan, Chunhui Zhao. Integration of adaptive guided filtering, deep learning and edge detection techniques for hyperspectral image classification, Optical Engineering, 2017, 56(11): 113106.
(6) Xiaoqing Wan, Chunhui Zhao, Wu Liu. Stacked sparse autoencoder in hyperspectral data classification using spectral-spatial, higher order statistics and multifractal spectrum features. Infrared Physics & Technology, 2017.
(7) Chunhui Zhao, Xiaoqing Wan, Genping Zhao, Yiming, Yan. Spectral-spatial classification of hyperspectral images using trilateral filter and stacked sparse autoencoder. Journal of Applied Remote Sensing, 2017,11(1): 016033.
(8) Chunhui Zhao, Xiaoqing Wan, Bing Cui. Spectral-Spatial Classification of Hyperspectral Imagery Based on Stacked Sparse Autoencoder and Random Forest, European Journal of Remote Sensing, 2017.
(9) Chunhui Zhao, Bing Gao, Lejun Zhang, Xiaoqing Wan. Classification of hyperspectral imagery based on spectral gradient, svm and spatial random forest. Infrared Physics & Technology, 2018.
(10) Chunhui Zhao, Wu Liu, Haifeng Zhang, Xiaoqing Wan. Super-resolution mapping of remote sensing image based on joint dictionary sparse representation. Journal of Harbin Engineering University, 2018.
(11) Xiaoqing Wan, Chunhui Zhao. Spectral-Spatial Classification of Hyperspectral Images Based on Joint Bilateral Filter and Stacked Sparse Autoencoder, First International Conference on Electronics Instrumentation & Information Systems (EIIS), 2018.
(1)赵春晖,万晓青.基于三边滤波器和堆栈稀疏自动编码器的图像分类方法,2019(国家发明专利).
(2)赵春晖,尤伟,焦恒,齐滨,万晓青.一种基于递归型核机器学习的高光谱异常目标检测方法, 2015(国家发明专利).
