姓名:李键红
性别:男
职称:助理研究员
学科专业:管理科学与工程、电子信息
研究方向:自然语言处理、图像处理、信息管理
个人简介:
李键红,男,1981年9月生,中共党员、博士,广东外语外贸大学语言工程与计算实验室助理研究员,主持广东省自然科学基金项目1项,广州市科技计划项目1项,发表论文二十余篇,授权中国发明专利4项,受理1项,获批软件著作权5项。
代表性成果:
[1]. Jianhong Li, Kanoksak Wattanachote, Yarong Wu, Maximizing Nonlocal Self-Similarity Prior for Single Image Super-Resolution [J], Mathematical Problems in Engineering, 2019(3):1-14 (SCI)
[2]. Wu Yarong, Li Jianhong*, MULTI-FEATURE SPARSE CONSTRAIN MODEL FOR CROP DISEASE RECOGNITION,APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH 17(4):9229-9245.(SCI)
[3]. Jianhong Li, Yarong Wu, Xiaonan Luo*, Chengcai Leng, Bo Li, Single image super resolution using maximizing self-similarity prior, Mathematical Problems in Engineering,2016,2015(510):1-10 (SCI)
[4]. 李键红,吴亚榕,吕巨建,基于自相似性与多任务高斯过程回归的单帧图像超分辨率重建,光学精密工程, 2018年11期: 2814-2826 (EI)
[5]. Jianhong Li*, Huayong He, Hailiang Liu, Image magnification based on classified training set, Journal of Information & Computational Science, 2012, 9(13):3647-3653 (EI)
[6]. 李键红, 吴亚榕, 吕巨建. 基于组稀疏表示的在线单帧图像超分辨率算法[J]. 计算机科学, 2018, 45(4):312-319
[7]. 李键红, 吴亚榕, 吕巨建. 基于最大化自相似性先验的盲单帧图像超分辨率算法[J]. 计算机科学,2018, 45(2):147-156
[8]. 吴亚榕,李键红*,基于联合稀疏模型的黄瓜病害自动识别,湖南农业大学学报(自然科学版),2019(04):444-448
[9]. 李键红,吴亚榕. 基于多任务联合稀疏表示的水稻叶片病害自动识别算法[J]. 仲恺农业工程学院学报, 2017, 30(2)
[10]. Jianhong Li*, Dong Wang, Xiaonan Luo, Single image super-resolution using multi-task Gaussian process regression, 2014 International Conference on Digital Home, ICDH 2014, Guangzhou, P.R. China , 2014.11.28-11.30
[11]. Jianhong Li*, Xiaocui Peng, Single-frame image super-resolution through gradient learning, The Second International Conference on Information Science and Technology , ICIST 2012, Wuhan, P.R. China, 2012.3.23-3.25
[12]. Jianhong Li*, Ze Li, Xiaonan Luo, Image Magnification through Non-local Edge Directed Interpolation, 2012 Fourth International Conference on Digital Home, ICDH 2012, Guangzhou, P.R. China, 2012.11.23-11.25
[13]. 李键红*,贺华勇,基于训练集分类的图像放大算法,第五届全国几何设计与计算学术会议,广州,中国,2011.11.12-11.13
[14]. Huayong He, Jianhong Li*, Xiaonan Luo*, Single image super-resolution using Gaussian Mixture Model, 21st International Conference on Pattern Recognition, ICPR 2012, Tokyo, Japan , 2012.11.11-11.15
联系方式:wyrljh@163.com