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研究生导师
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易积政副教授
 发表时间:2024-03-07 15:17:45 点击次数:00

  

  

基本信息:

职称:副教授

邮箱:kingkong148@163.com 

地址:湖南省长沙市韶山南路498号中南林业科技大学计算机与信息工程学院人工智能系(求是楼704室)

 

个人简介:

易积政,男,博士,副教授,硕士生导师,中国计算机学会计算机应用专委会执行委员,湖南省人工智能学会教育专委会常务委员,中南林业科技大学计算机类专业“4561”人才培养教学团队负责人,国家一流本科专业计算机科学与技术原系主任,人工智能系现系主任,专业负责人,校优秀共产党员、教学新秀。

 

学习经历: 

2004年9月—2008年6月,山东农业大学信息科学与工程学院,电子科学与技术,学士; 

2008年9月—2011年6月,五邑大学信息工程学院,模式识别与智能系统,硕士; 

2011年9月—2015年6月,北京航空航天大学电子信息工程学院,信息与通信工程(遥感传输与处理),博士;

2018年8月—2019年9月,美国宾夕法尼亚大学医学院,放射系医学图像处理工作组,访问学者。

 

任职情况: 

2015年10月-2017年12月,中南林业科技大学计算机与信息工程学院,讲师; 

2018年1月-至今,中南林业科技大学计算机与信息工程学院,副教授。

 

主要研究方向:

人工智能,图像处理,模式识别,深度学习,可持续生态学,遥感传输与处理,金融舆情分析。招生方向:信息与通信工程(学术型),电子信息(专业型),智慧林业(学术型,林学院兼)。培养的研究生就业情况良好,部分到国防科技大学,北京航空航天大学等攻读博士学位。无论您来自哪里,只要勤奋好学,有上进心,有一定的编程能力与英语基础,团队都很欢迎

 

社会兼职:

1. 中国计算机学会计算机应用专委会执行委员;

2. 湖南省人工智能学会理事兼教育专委会常务委员; 

3. 国家自然基金通讯评审专家。

 

科研情况:

主持国家自然科学基金青年项目1项(61602528,国家级),湖南省自然科学基金面上项目1项(2022JJ31022,省部级),湖南省自然科学基金青年项目1项(2017JJ3527,省部级),湖南省教育厅科学研究项目优秀青年项目1项(16B275,省部级),湖南省教育厅教改项目1项(HNJG-2021-0532,省部级),国家留学基金面上项目1项(宾夕法尼亚大学大学访学学者,常青藤),校引进高层次人才科研启动基金1项(2015YJ013),北京航空航天大学博士研究生创新基金(YWF-14-YJSY-006);指导研究生主持湖南省研究生创新基金1项(省部级),中南林业科技大学创新基金1项;作为主要成员参与国家自然科学基金面上项目1项、青年项目2项(61772561、61602529、61103097),中日国际科技合作项目1项、教育部博士点基金优先资助项目1项、航天支撑技术基金1项、省重点研发计划2项。

国家一流本科专业计算机科学与技术原系主任,人工智能专业负责人;2021年度中南林业科技大学校级教学团队负责人;2020年度、2022年度校级优秀本科毕业设计指导老师;2021年度教学信息化比赛学校二等奖(理工组第四名),思政教学比赛学院三等奖;指导学生国家级与省部级学科竞赛获奖10余项;计算机学会计算机应用专委会2021年度“优秀审稿人”;近5年获国家发明专利3项,软件著作权5项;论文“Illuminant direction estimation for a single image based on local region complexity analysis and average gray value”、“Illumination compensation for facial feature point localization in a single 2D face image”分获北京航空航天大学2014、2015年度优秀学术论文;2016年度校工会积极分子;出版专著1部,副主编在编专著1部;公开发表包括IEEE Transactions on Geoscience and Remote Sensing,Journal of Integrative Agriculture,Energy Policy,IEEE Geoscience and Remote Sensing Letters,Applied Soft Computing,Engineering Applications of Artificial Intelligence,Neurocomputing,Biomedical Signal Processing and Control,电子与信息学报,华中科技大学学报等期刊会议论文50余篇,教研教改论文3篇。

 

部分代表性学术成果:

 

学术论文(第一作者或通信作者):

[1].Junsong Chen, Jizheng Yi, Aibin Chen, Hui Lin. SRCBTFusion-Net: An efficient Fusion Architecture via Stacked Residual Convolution Blocks and Transformer for Remote Sensing Image Semantic Segmentation. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61: 4411716. (SCI收录)

[2].Lei Tang, Jizheng Yi, Xiaoyao Li. Improved multi-scale inverse bottl eneck residual network based on triplet parallel attention for apple leaf disease identification. JOURNAL OF INTEGRATIVE AGRICULTURE, 2023. https://doi.org/10.1016/j.jia.2023.06.023 (SCI收录)

[3].Junsong Chen, Jizheng Yi, Aibin Chen, Ze Jin. EFCOMFF-Net: A Multiscale Feature Fusion Architecture with Enhanced Feature Correlation for Remote Sensing Image Scene Classification. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61:5604917. (SCI收录)

[4].Hongliang Zhou and Jizheng Yi. FFSDF: An Improved Fast Face Shadow Detection Framework based on Channel Spatial Attention Enhancement. JOURNAL OF KING SAUD UNIVERSITY - COMPUTER AND INFORMATION SCIENCES, 2023, 35(9): 101766. (SCI收录)

[5].Jiaqi Liu, Jizheng Yi, Aibin Chen. Double-inputs illumination pattern recognizing model with automatic shadow detection network in a single face image. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2023, 32(01):2350010. (SCI收录)

[6].Yasheng Li, Jizheng Yi, Bolin Zhong, Ziyu Yi, Aibin Chen, Ze Jin. Heart sounds classification based on high-order spectrogram and multi-convolutional neural network after a new screening strategy. ADVANCED THEORY AND SIMULATIONS,2023: 2300549. (SCI收录)

[7].Bolin Zhong, Jizheng Yi, Ze Jin. AC-Faster R-CNN: an improved detection architecture with high precision and sensitivity for abnormality in spine x-ray images. PHYSICS IN MEDICINE & BIOLOGY, 2023, 68(19): 195021. (SCI收录)

[8].Junsong Chen, Jizheng Yi, Aibin Chen, Ke Yang, Ze Jin. SMFE-Net: a saliency multi-feature extraction framework for VHR remote sensing image classification. MULTIMEDIA TOOLS AND APPLICATIONS, 2023. https://doi.org/10.1007/s11042-023-15759-2(SCI收录)

[9].Huanyu Chen, Jizheng Yi, Aibin Chen, Duanxiang Peng, Jieqiong Yang. Green technology innovation and CO2 emission in China: Evidence from a spatial-temporal analysis and a nonlinear spatial durbin model. ENERGY POLICY, 2023, 172:113338. (SCI收录)

[10].Yi Zhang, Jizheng Yi, Aibin Chen, Le Cheng. Cardiac arrhythmia classification by time-frequency features inputted to the designed convolutional neural networks. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 79(2):104224. (SCI收录)

[11].Le Cheng, Jizheng Yi, Aibin Chen, Yi Zhang, Chao Hou. Fabric material identification based on Densenet variant networks. JOURNAL OF THE TEXTILE INSTITUTE, 2023, 114(10): 1527-1538. (SCI收录)

[12].Le Cheng, Jizheng Yi, Aibin Chen, Yi Zhang. Fabric defect detection based on separate convolutional UNet. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82(2):3101-3122. (SCI收录)

[13].Duanxiang Peng, Jizheng Yi, Aibin Chen, Huanyu Chen, Jieqiong Yang. Factor decomposition for ecological pressure of the whole industrial energy carbon footprint: a case study of China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30(12): 33862-33876. (SCI收录)

[14].Jizheng Yi, Junsong Chen, Mengna Zhou, Chao Hou, Aibin Chen, Guoxiong Zhou. Analysis of stock market public opinion based on web crawler and deep learning technologies including 1DCNN and LSTM. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2023, 48(8): 9941-9962. (SCI收录)

[15].Duanxiang Peng, Jizheng Yi, Aibin Chen, Huanyu Chen, Jieqiong Yang. Decoupling trend and emission reduction potential of CO2 emissions from China's petrochemical industry. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30(9): 23781-23795. (SCI收录)

[16].Ke Yang, Jizheng Yi, Aibin Chen, Jiaqi Liu, Wenjie Chen, Ze Jin. ConvPatchTrans: A script identification network with global and local semantics deeply integrated. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022, 113:104916. (SCI收录)

[17].Mingxuan Li, Guoxiong Zhou, Aibin Chen, Jizheng Yi, Chao Lu, Mingfang He, Yahui Hu. FWDGAN-based data augmentation for tomato leaf disease identification. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 193:106779. (SCI收录)

[18].Zhihua Liu, Wenjie Chen, Aibin Chen, Guoxiong Zhou, Jizheng Yi. Birdsong classification based on multi feature channel fusion. MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81(11):15469-15490. (SCI收录)

[19].Huanyu Chen, Jizheng Yi, Aibin Chen, Guoxiong Zhou. Application of PVAR model in the study of influencing factors of carbon emissions. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2022, 19(12):13227-13251. (SCI收录)

[20].Ke Yang, Jizheng Yi, Aibin Chen, Jiaqi Liu, Wenjie Chen. ConDinet plus plus: Full-scale fusion network based on conditional dilated convolution to extract roads from remote sensing images. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19. (SCI收录)

[21].Yi Sima, Jizheng Yi, Aibin Chen, Ze Jin. Automatic expression recognition of face image sequence based on key-frame generation and differential emotion feature. APPLIED SOFT COMPUTING, 2021, 113(A): 108029. (SCI收录)

[22].Jizheng Yi, Jayaram K. Udupa, Yubing Tong, Michaela R. Anderson, David Lederer, Jason Christie, Drew A. Torigian. Localization and Segmentation of optimal slices for chest fat quantification in CT via deep learning. progress in biomedical optics and imaging, 2021, 11317:113170K. (EI收录)

[23].易积政, 阳洁琼, 吴星宇, 等. 基于改进Retinex与光照补偿的人脸身份识别. 华中科技大学学报: 自然科学版, 2020, 48(1): 41-47. (EI收录)

[24].Xiao Chen, Guoxiong Zhou, Aibin Chen, Jizheng Yi, Wenzhuo Zhang, Yahui Hu. Identification of tomato leaf diseases based on combination of ABCK-BWTR and B-ARNet. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 178:105730. (SCI收录)

[25].Mengna Zhou, Jizheng Yi, Jieqiong Yang, Yi Sima. Characteristic representation of stock time series based on trend feature points. IEEE ACCESS, 2020, 9:97016-97031. (SCI收录)

[26].Jizheng Yi, Aibin Chen, Zixing Cai, Yi Sima, Mengna Zhou, Xingyu Wu. Facial expression recognition of intercepted video sequences based on feature point movement trend and feature block texture variation. APPLIED SOFT COMPUTING, 2019, 82:105540. (SCI收录)

[27].Jizheng Yi, Yi Sima, Mengna Zhou, Jieqiong Yang. Facial expression sequence interception based on feature point movement, ICAIT2019, 2019.10.18-2019.10.20. (EI收录)

[28].Jizheng Yi, Xia Mao, Lijiang Chen, Alberto Rovetta. Illumination compensation for facial feature point localization in a single 2D face image. NEUROCOMPUTING, 2016, 173:573-579. (SCI收录)

[29].Jizheng Yi, Xia Mao, Lijiang Chen, Yuli Xue, Alberto Rovetta, Catalin-Daniel Caleanu. Illumination normalization of face image based on illuminant direction estimation and improved Retinex. PLOS ONE, 2015, 10(4). (SCI收录)

[30].Jizheng Yi, Xia Mao, Lijiang Chen, Yuli Xue, Angelo Compare. Facial expression recognition considering individual differences in facial structure and texture. IET COMPUTER VISION, 2014, 8(5):429-440. (SCI收录)

[31].Jizheng Yi, Xia Mao, Lijiang Chen, Yuli Xue, Angelo Compare. Illuminant direction estimation for a single image based on local region complexity analysis and average gray value. APPLIED OPTICS, 2014, 53(2): 226-236. (SCI收录)

[32].易积政, 毛峡, 薛雨丽. 基于特征点矢量与纹理形变能量参数融合的人脸表情识别. 电子与信息学报, 2013, 35(10): 2403-2410. (EI收录)

 

发明专利:

[1].毛峡, 易积政.《基于特征点矢量与纹理形变能量参数的人脸表情识别方法》 (专利号:ZL2012103938912, 导师第一作者, 已授权)

[2].易积政, 陈爱斌, 王丹.《基于特征点运动的人脸表情序列截取方法》 (专利号:ZL2017101534334, 第一作者, 已授权)

[3].易积政.《基于变形高斯核函数的自适应强光人脸图像纹理恢复方法》(专利号: ZL2019102099809, 第一作者, 已授权)

 

软件著作权:

[1].易积政,陈文洁(研究生).《基于4G的ZigBee节点开关控制应用软件V1.0》软件著作权2020SR0360954.2020.04.22

[2].杨珂(研究生),易积政.《识鸟-智能鸟类识别系统[简称: 识鸟]V1.0》软件著作权2020R11L2548007.2020.11.20(学生第一作者)

[3].易积政,程浩宇.《基于特定类别图像前景分割系统V1.0》软件著作权2021SR1132531,2021.04.20.

[4].易积政,陈俊松(研究生).《基于AT89C51自动售水机系统 V1.0》软件著作权2022SR0266295.2022.02.23.

[5].陈俊松(研究生),易积政.《基于AT89C52门禁系统V1.0》软件著作权2022SR0577881,2022.05.12

[6].易积政,陈俊松(研究生).《智能温控风扇系统V1.0》软件著作权.2023R11L0175772.2023.07.25


专著:

易积政. 《人脸表情识别》, 电子科技大学出版社, 成都, 2017.

 

湖南省长沙市韶山南路498号 邮编:410004 电话:0731-85623008 湘ICP备09017705号 湘教QS4_201212_010022 丨 信息中心技术支持