[个人简历]
教授，博士生导师，数字教育湖北省重点实验室副主任，青少年网络心理与行为教育部重点实验室副主任，入选“武汉英才计划培育支持专项教育领域人才”和华中师范大学“桂子青年学者”等人才计划。现主要从事学习分析、人工智能、计算机视觉等方面的研究，主持国家自然科学基金项目3项，教育部人文社科项目1项，湖北省自然科学基金项目1项，武汉市知识创新专项1项，中国博士后科学基金项目1项，中央高校自主科研项目5项。获湖北省自然科学奖一等奖1项，中国电子视像行业协会科技创新奖1项。已在Pattern Recognition、IEEE Transactions on Cybernetics、IEEE Transactions on Geoscience and Remote Sensing、Neurocomputing、Infrared Physics & Technology等国际重要期刊和会议上发表学术论文50余篇，其中两篇入选ESI高被引论文。申请发明专利5项，软件著作权10余项。受邀担任IEEE Transactions on Learning Technologies、IEEE Transactions on Cybernetics、IEEE Transactions on Geoscience and Remote Sensing、IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing以及Neurocomputing等多个国际学术刊物审稿人。多次担任全球华人计算机教育应用大会子会议（GCCCE）主席和国际知名会议ICIP的领域主席。
[工作经历]
2023-06月至今，华中师范大学人工智能教育学部，教授
2023-02月至2024-02月，教育部办公厅，教育数字化专班成员
2015-06月至2023-06月，华中师范大学人工智能教育学部，副教授
2018-01月至2018-12月，美国佛罗里达大学，访问学者
2015-03月至2017-12月，华中科技大学，博士后
2019-07月至2019-09月，澳门大学，访问学者
2015-07月至2015-09月，澳门大学，博士后
2012-07月至2015-06月，华中师范大学教育信息技术学院，讲师
[研究方向]
学习分析、人工智能、计算机视觉与机器学习
硕士生招生专业： 人工智能 现代教育技术 教育技术学
博士生招生专业： 教育技术学 电子信息
[科研项目]
✧ 教育多智能体系统中学习投入生成式评测与演化分析研究，国家自然科学基金面上项目，2026.1-2029.12，主持
✧ 面向同步直播课堂的可解释学习投入自动评测方法研究，国家自然科学基金面上项目，2023.1-2026.12，主持
✧ 基于记忆的不变图像特征学习方法研究，国家自然科学基金青年项目，2016.1-2018.12，主持
✧ 基于人工智能的在线学习参与度识别研究，教育部人文社科项目，2020.1-2022.12，主持
✧ 同步直播课堂中远端学生学习投入自动评测方法研究，武汉市知识创新专项，2022.6-2024.5，主持
✧ 基于视频数据的“人工智能+”研训学生情感演化规律分析方法，国家教师发展协同创新实验基地建设专项，2021.7- 2024.6，主持
✧ 面向教学反思的课堂认知投入智能评测与分析关键技术研究，人工智能+教育专项，2024.6-2025.6
✧ 多模态在线学习情感识别与分析，中央高校基本科研业务费青年团队项目，2020.1-2022.12，主持
✧ 基于I理论的深度学习方法研究，湖北省自然科学基金项目，2018.1-2019.12，主持
✧ 面向高光谱图像分类的深度学习方法研究，中国博士后科学基金，2015.10-2017.10，主持
✧ 面向空谱特征学习的深度极限学习方法研究，中央高校基本科研业务费项目，2016.1-2017.12，主持
✧ 面向图像分类的深度学习方法研究，中央高校基本科研业务费项目，2014.1-2015.12，主持
✧ 超分辨率中的矩阵值算子学习问题，国家自然科学基金委，2015.1-2018.12，主要成员
✧ 初等数学问题求解关键技术及系统，863计划子课题，2015.1-2017.12，主要成员
[专利成果]
✧ 魏艳涛,高洁,胡美佳,姚璜,邓伟,徐家臻，一种基于多视觉线索融合的在线学习投入识别方法，2022109367788，已受理
✧ 魏艳涛,胡美佳,雷芬,姚璜,邓伟,徐家臻，一种基于深度学习的在线学习投入度识别方法及系统，202111091047.X，已受理
✧ 魏艳涛,姚璜,张心雨,邓伟,徐家臻，基于局部相关熵矩阵的高光谱图像分类方法和系统，202111091146.8，已受理
✧ 魏艳涛,余书剑,姚璜,师亚飞,赵刚,童名文，基于相关熵原则的高光谱图像分类方法和系统，ZL201810734291.5，已授权
✧ 魏艳涛; 肖光润, 基于堆叠宽度学习的高光谱图像分类方法和系统，201811511558.0，已授权
[个人荣誉]
✧ 2022年湖北省自然科学一等奖（2/5）
✧ 2022年中国电子视像行业协会科技创新奖（4/5）
✧ 2022年指导学生获校优秀硕士学位论文
✧ 2021年指导学生获Iteach大赛一等奖两项
✧ 2021年指导学生获校优秀硕士学位论文
✧ 2020年指导学生获校优秀硕士学位论文
✧ 2019年指导学生获校优秀硕士学位论文
✧ 2016年指导学生获湖北省优秀学士论文
✧ 2015年指导学生获湖北省优秀学士论文
✧ 2015年指导学生参加全国计算机设计大赛获得三等奖
[学术兼职]
✧ 第26届全球华人计算机教育应用大会子会议主席（学习分析、智慧学习环境）
✧ 第23届全球华人计算机教育应用大会子会议主席（学习分析、评估、人工智能教育应用）
✧ 第22届全球华人计算机教育应用大会子会议副主席（学习分析、评估、人工智能教育应用）
✧ IEEE International Conference on Image Processing (ICIP 2022) Area Chair
✧ IEEE International Conference on Image Processing (ICIP 2021) Area Chair
✧ IEEE International Conference on Image Processing (ICIP 2020) Area Chair
✧ Frontiers in Remote Sensing 审稿编辑
✧ International Journal of Image, Graphics and Signal Processing 杂志编委
✧ 湖北省自动化学会理事
✧ 湖北省智能科教研究会理事
✧ 中国电子学会现代教育技术分会会员
✧ 中国自动化学会会员
✧ 中国计算机学会会员
[讲授课程]
✧ C语言程序设计
✧ C语言程序设计实验
✧ 计算思维
✧ 数字图像处理（数字媒体技术）
✧ 数字图像处理原理实验
✧ 概率论与数理统计（数字媒体技术）
✧ 概率论与数理统计（教育技术学）
✧ 矩阵论与数值分析
✧ WEB技术及其应用
✧ 计算机网络
✧ 计算机网络实验
✧ Web技术及网站设计与开发
✧ Web技术与网站设计与开发实验
[发表论文]
✧ Yafei Shi, Mingyue Wu, Yantao Wei*, Jiali Chen, Qianqian Dong, Ke Zhu. A person-centered perspective in assessing college students' self-regulated learning in an online learning environment: potential profiles, antecedents, and outcomes. International Journal of Educational Technology in Higher Education, vol. 22, no. 66 ,2025.
✧ 魏艳涛,徐琦,师亚飞,等.基于经验之塔的生成式多智能体导学系统研究[J].电化教育研究,2025,46(08):57-64.
✧ 徐琦,魏艳涛,马玉建,等.基于视觉身心特征融合的学习投入识别研究[J].现代远距离教育,2025,(02):68-78.
✧ 魏艳涛,徐琦,桑志强,等.复杂动态系统理论视角下课堂认知投入评测模型的构建及应用[J].现代教育技术,2024,34(12):65-75.
✧ Yafei Shi, Junli Shen, Yantao Wei*, Mengjin Chen, Mingyue Wu, Qianqian Dong, Understanding the effects of teacher credibility on students' cognitive engagement in online learning: The mediating roles of academic self-efficacy and motivational regulation strategies, Acta Psychologica, Volume 261, 2025.
✧ Yafei Shi, Mengjin Chen, Yantao Wei*, Junli Shen, Mingyue Wu, Ke Zhu, Understanding effects of engaging online learning environments on students' cognitive engagement and well-being: The role of academic self-concept and flow, Frontiers in Psychology, 2025.
✧ Yafei Shi, Qi Cheng, Yantao Wei*, Yunzhen Liang, Ke Zhu, Effects of Peer and Teacher Support on Students’ Creative Thinking: Emotional Intelligence as a Mediator and Emotion Regulation Strategy as a Moderator, Journal of Intelligence, 2025.
✧ Donghui Pan, Yongkang Liu, Yantao Wei, Yongbin Liu, A two-stage health prognostics with spatiotemporal feature representation and uncertainty quantification for bearings, Expert Systems with Applications, 2025.
✧ Yuqin Yang, Ying Zhang, Daner Sun, Wenmeng He, Yantao Wei*, Navigating the landscape of AI literacy education: insights from a decade of research (2014–2024), Humanities and Social Sciences Communications, 2025.
✧ Kegang Wang, Yantao Wei*, Jiankai Tang, Yuntao Wang, Zhe Li, Mingwen Tong, Jie Gao, Yujian Ma, Zhongjin Zhao, Camera-Based HRV Prediction for Remote Learning Environments, 2024 IEEE Smart World Congress, 2024.
✧ Xinyu Zhang, Yantao Wei*, Weijia Cao, Huang Yao, Jiangtao Peng, Yicong Zhou，Local Correntropy Matrix Representation for Hyperspectral Image Classification，IEEE Transactions on Geoscience and Remote Sensing，2022. (通讯作者, SCI, TOP期刊)
✧ Meijia Hu, Yantao Wei*, Mengsiying Li, Huang Yao, Wei Deng, Mingwen Tong, Qingtang Liu, Bimodal learning engagement recognition from videos in the classroom, Sensors, 2022. (通讯作者，SCI)
✧ Guochao Zhang, Weijia Cao, Yantao Wei*, Spatial Perception Correntropy Matrix for Hyperspectral Image Classification, Applied Sciences, 2022. (通讯作者，SCI)
✧ Guochao Zhang, Weijia Cao, Yantao Wei*, Spatial Perception Correntropy Matrix for Hyperspectral Image Classification, Applied Sciences, 2022. (通讯作者，SCI)
✧ Guangrun Xiao，Yantao Wei*，Huang Yao，Wei Deng，Jiazhen Xu，Donghui Pan，Hierarchical broad learning system for hyperspectral image classification，IET Image Processing， 2022. (通讯作者，SCI)
✧ 韩金辉，魏艳涛*，彭真明，赵骞，陈耀弘，覃尧，李楠，红外弱小目标检测方法综述，红外与激光工程，2022. （通讯作者，EI）
✧ 张国超，魏艳涛*， 深度学习方法在学习分析中的应用研究综述，GCCCE 2022.
✧ 赵忠锦，魏艳涛*，刘怡，在线学习干预的研究进展及展望，GCCCE 2022.
✧ 高洁，张耀日，魏艳涛*， 虚拟现实环境学习投入研究进展，GCCCE 2022.
✧ 李柏翰,衣俊峰,李欣蔚,王支勇,魏艳涛.基于深度学习的高中学生课堂坐姿识别研究[J].中国信息技术教育,2022(06):76-79.
✧ 魏艳涛，罗洁琳，胡美佳* ，李文昊， 姚璜，基于计算机视觉的在线学习情感识别研究，计算机科学，2021（已接受）.
✧ 师亚飞,童名文,王建虎,孙佳,戴红斌,魏艳涛.混合同步学习：演进、价值与未来议题[J].电化教育研究,2021,42(12):100-107.
✧ 张思，高倩倩，马鑫倩，魏艳涛，杨海茹.私播课论坛中学习者会话行为建模研究, 电化教育研究， 2021,42(11)：.63-68+106.
✧ Yantao Wei, Shujian Yu, Luis Sanchez Giraldo, José C. Príncipe,Multiscale Principle of Relevant Information for Hyperspectral Image Classification, Machine Learning, 2021.(SCI)
✧ Yantao Wei, Yicong Zhou, Spatial-Aware Network for Hyperspectral Image Classification, Remote Sensing, 2021.(SCI)
✧ Xinyu Zhang, Yantao Wei*, Huang Yao, Zhijing Ye, Yicong Zhou, Yue Zhao, Locally Homogeneous Covariance Matrix Representation for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. (通讯作者，SCI)
✧ Feng Xue, Falong Tan, Zhijing Ye, Jiaqing Chen, Yantao Wei, Spectral-Spatial Classification of Hyperspectral Image Using Improved Functional Principal Component Analysis, IEEE Geoscience and Remote Sensing Letters, 2021.(SCI)
✧ Zhijing Ye, Jiaqing Chen, Hong Li, Yantao Wei*, Guangrun Xiao, Jón Atli Benediktsson, Supervised functional data discriminant analysis for hyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing, Vol.58, No.2, pp. 841-851, 2020. (通讯作者，SCI)
✧ 徐家臻，邓伟，魏艳涛. 基于人体骨架信息提取的学生课堂行为自动识别, 现代教育技术，Vol.30， No.5，pp. 108-113, 2020. (CSSCI)
✧ 魏艳涛,雷芬,胡美佳,邓伟,姚璜,王志锋.学生表情识别研究综述[J]. 中国教育信息化, 2020(21):48-55.
✧ 于潇,魏艳涛*,刘怡.学习投入研究进展及展望述[C]. Proceedings of the 25th Global Chinese Conference on Computers in Education (GCCCE 2020).2021, pp.408-416.
✧ Huang Yao, Mengting Yang, Tiantian Chen, Yantao Wei*, Yu Zhang, Depth-based human activity recognition via multi-level fused features and fast broad learning system, International Journal of Distributed Sensor Networks, Vol.16, No.2, 2020. (通讯作者，SCI)
✧ Ling Zhong, Yantao Wei*, Huang Yao, Wei Deng, Zhifeng Wang, Mingwen Tong，Review of Deep Learning-Based Personalized Learning Recommendation，Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning，pp. 145-149, 2020.
✧ Yantao Wei, Shujian Yu, Jose C Principe, Multiscale Principle of Relevant Information for Hyperspectral Image Classification, arXiv preprint arXiv:1907.06022, 2019.
✧ 魏艳涛，秦道影，胡佳敏，姚璜*，师亚飞，基于深度学习的学生课堂行为识别，现代教育技术，Vol.29， No.7，pp.87-91, 2019. (CSSCI)
✧ 陈加，张玉麒，宋鹏，魏艳涛*，王煜. 深度学习在基于单幅图像的物体三维重建中的应用，自动化学报，Vol.45, No.4, pp.657-668, 2019.
✧ 陈甜甜,姚璜,魏艳涛,左明章,杨梦婷.基于融合特征的人体动作识别[J].计算机工程与设计,2019,40(05):1394-1400.
✧ Fen Lei, Yantao Wei*, Jiamin Hu, Huang Yao, Wei Deng, Ying Lu, Student Action Recognition Based on Multiple Features, 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), pp.428-432, 2019.
✧ Yafei Shi, Yantao Wei*, Donghui Pan, Wei Deng, Huang Yao, Tiantian Chen, Gang Zhao, Mingwen Tong and Qingtang Liu，Student body gesture recognition based on Fisher broad learning system, International Journal of Wavelets, Multiresolution and Information Processing，Vol. 17, No. 1, 1950001,2019.
✧ Shujian Yu, Zubin Abraham, Heng Wang, Mohak Shah, Yantao Wei, José C.Príncipe. Concept drift detection and adaptation with hierarchical hypothesis testing, Journal of the Franklin Institute, Vol. 356, No. 5, pp. 3187-3215, 2019.
✧ 陈甜甜，姚璜，魏艳涛，左明章，杨梦婷，基于融合特征的人体动作识别，计算机工程与设计，pp. 1394-1400，2019.
✧ Yafei Shi,Yantao Wei*, Huang Yao, Donghui Pan, Guangrun Xiao, High-Boost-Based Multiscale Local Contrast Measure for Infrared Small Target Detection, IEEE Geoscience and Remote Sensing Letters 15 (1), 33-37, 2018 (通讯作者，SCI)
✧ Donghui Pan,Yantao Wei, Houzhang Fang, Wenzhi Yang, A reliability estimation approach via Wiener degradation model with measurement errors, Applied Mathematics and Computation, Vol.320, pp. 131–141, 2018. (SCI)
✧ Jinyan Nie, Shaocheng Qu,Yantao Wei,Liming Zhang, Lizhen Deng, An infrared small target detection method based on multiscale local homogeneity measure, Infrared Physics & Technology 90, 186-194, 2018. (SCI)
✧ Yantao Wei, Peng Zhang, Huang Yao, Jiazhen Xu and Xinge You, Stacked Kernel Extreme Learning Machine for Hyperspectral Image Classification, International Conference on Pattern Recognition and Artificial Intelligence, 2018.
秦道影， 师亚飞，魏艳涛* , 学习分析研究进展, 全球华人计算机教育应用大会, 2018.5.25-2018.5.29.
✧ Yantao Wei,Yicong Zhou, Hong Li, Spectral-spatial response for hyperspectral image classification, Remote Sensing, Vol. 9, no. 3, pp.203:1-31, 2017. (SCI)
✧ Yafei Shi，Yantao Wei，Ting Wu，Qingtang Liu，Statistical graph classification in intelligent mathematics problem solving system for high school student，2017 12th International Conference on Computer Science and Education (ICCSE), pp.645-650, 2017.（通讯作者，EI）
✧ Yantao Wei,Yafei Shi, Huang Yao, Gang Zhao and Qingtang Liu, High School Statistical Graph Classification Using Hierarchical Model for Intelligent Mathematics Problem Solving, The Pacific-Rim Symposium on Image and Video Technology (PSIVT), 2017.（EI）
聂进焱，魏艳涛，瞿少成. 一种面向局部神经反应的模板选取算法，计算机工程，Vol.43， No.3, pp. 277-281, 2017.
✧ Yantao Wei, Xinge You, Hong Li, Multiscale Patch-based Contrast Measure for Small Infrared Target Detection, Pattern Recognition, Vol. 58, pp. 216–226, 2016.(SCI, ESI 高被引)
✧ Yicong Zhou,Yantao Wei*, Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification, IEEE Transactions on Cybernetics, Vol. 46, pp. 1667-1678, 2016. (通讯作者，SCI,中科院1区，TOP期刊)
✧ Yantao Wei, Xinge You, He Deng, Small Infrared Target Detection Based on Image Patch Ordering, International Journal of Wavelets, Multiresolution and Information Processing, vol. 14, no. 2, pp. 1-14, 2016. (SCI)
✧ Lizhen Deng, Hu Zhu, Chao Tao, andYantao Wei, Infrared Moving Point Target Detection Based on Spatial-temporal Local Contrast Filter, Infrared Physics & Technology vol. 76, pp. 168-173, 2016. (SCI)
✧ Yantao Wei*,Yicong Zhou，Stacked Tensor Subspace Learning for hyperspectral image classification. The 2016 International Joint Conference on Neural Networks, pp. 1985-1992, 2016
✧ Yantao Wei，Guangrun Xiao，He Deng， Hong Chen, Mingwen Tong，Gang，Zhao, Qingtang Liu，Hyperspectral Image Classification Using FPCA-based Kernel Extreme Learning Machine，Optik - International Journal for Light and Electron Optics，vol. 126, no. 23, pp. 3942–3948, 2015. (SCI)
✧ Yuan Yan Tang, Tian Xia,Yantao Wei*, Hong Li, and Luoqing Li, Hierarchical kernel-based rotation and scale invariant similarity, Pattern Recognition, 47(4), pp. 1674–1688, 2014. (通讯作者，SCI)
✧ C. L. Philip Chen，Hong Li，Yantao Wei, Tian Xia, and Yuan Yan Tang, A local contrast method for small infrared target detection, IEEE Transactions on Geoscience and Remote Sensing, 52(1), pp. 574 - 581, 2014. (SCI)
✧ He Deng,Yantao Wei*,Gang Zhao, Qingtang Liu, Integration of local information-based transition region extraction and thresholding, Infrared Physics & Technology, 66, pp. 103 - 113, 2014. (通讯作者，SCI）
✧ Hong Li, Hongfeng Li,Yantao Wei, Yuan Yan Tang, Qiong Wang: Sparse-based neural response for image classification. Neurocomputing 144: 198-207 (2014)
✧ Hong Li,Yantao Wei, Luoqing Li, and C. L. Philip Chen, Hierarchical feature extraction with local neural response for image recognition, IEEE Transactions on Cybernetics, 43(2), pp. 412 - 424, 2013.(SCI)
✧ He Deng,Yantao Wei, Mingwen Tong, Small Target Detection Based on Weighted Self-information Map, Infrared Physics & Technology, vol.60, pp. 197-206, 2013. (SCI)
✧ He Deng,Yantao Wei, and Mingwen Tong. Background suppression of small target image based on fast local reverse entropy operator, IET Computer Vision, Vol. 7, no. 5, pp. 405 - 413, 2013. (SCI)
✧ 邓鹤，魏艳涛，童名文，瞿少成. 基于改进的局部反熵算子的小目标检测, 通信学报, Vol. 34, pp. 60-69, 2013.
✧ Hong Li,Yantao Wei, Luoqing Li, and Yuan Yuan, Similarity learning for object recognition based on derived kernel, Neurocomputing, 83(15), pp. 110-120, 2012. (SCI)
