卢芳芳
发布日期:2016-01-05 浏览次数:8190
姓名:卢芳芳 | 性别:女 | |
学历:博士研究生 | 职称:副教授 | |
电话: | Email:lufangfang@shiep.edu.cn | |
系所:计算机系 | 办公地址:计电楼A310 | |
个人简介: 卢芳芳,女,1981年10月生,博士。2013年毕业于上海交通大学电子信息与电气工程学院自动化系图像所,获工学博士学位。主要研究方向包括:数字图像处理、计算机视觉,模式识别,机器学习等。近年来在国内外期刊和会议上共发表论文30余篇,其中有20多篇被SCI、EI收录。申请并授权发明专利5项。 | ||
研究方向:数字图像处理、计算机视觉,模式识别,机器学习 | ||
主讲课程: 数据结构、数据挖掘、python语言程序设计 | ||
科研成果: 代表性论文: [1] Fangfang Lu(一作), et al. CMM: A CNN-MLP Model for COVID-19 Lesion Segmentation and Diagnosis Grading, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 (SCI 三区, 影响因子: 3.71) [2] Fangfang Lu(一作), et al. Multi-Attention Segmentation Networks Combined with the Sobel Operator for Medical Images, Sensors, 2023, 23(5), 2546 (SCI 三区, 影响因子: 3.847) [3] Fangfang Lu(一作), et al. HFENet: A Lightweight Hand-crafted Feature Enhanced CNN for Ceramic Tile Surface Defect Detection, International Journal of Intelligent Systems, 2022, 37(7): 1‐24. doi:10.1002/int.22935 (SCI一区, 影响因子: 8.993) [4] Fangfang Lu(通讯作者), et al. CSPP-IQA: A Multi-scale Spatial Pyramid Pooling based Approach for Medical Image Quality Assessment, Neural Computing and Applications, 2022 (SCI二区, 影响因子: 5.606) https://doi.org/10.1007/s00521-022-07874-2 [5] Fangfang Lu(通讯作者), et al. FAM: focal attention module for lesion segmentation of COVID‑19 CT images, Journal of Real-Time Image Processing, 2022, 19: 1091-1104 (SCI三区, 影响因子: 2.293) [6] Fangfang Lu(一作), et al. A generative adversarial network-based fault detection approach for photovoltaic panel, Applied Sciences, 2022, 12(4), 1789; https://doi.org/10.3390/app12041789. (SCI 三区, 影响因子: 2.679) [7] 卢芳芳(一作), et al.对抗型半监督光伏面板故障检测. 中国图象图形学报,2022, 27(10): 3031-3042. (北大核心) [8] Fangfang Lu(三作). 3D stochastic reconstruction of porous media based on attention mechanisms and residual networks, Stochastic Environmental Research and Risk Assessment, 2022, 36: 1063-1081. (SCI三区, 影响因子: 3.379) [9] FangfangLu(三作), et al. 3D reconstruction of porous media by combining scaling transformation and multi-scale discrimination using generative adversarial networks, Journal of Petroleum Science and Engineering, 2022, 209, 109815. (SCI 一区, 影响因子: 5.168) [10] Fangfang Lu(一作), et al. An ARCore-Based Augmented Reality Campus Navigation System, Applied Sciences-basel, 2021, 7515: 1-16. (SCI 三区, 影响因子: 2.679) [11] Fangfang Lu(通讯作者). 3D reconstruction of digital cores based on a model using generative adversarial networks and variational auto-encoders, Journal of Petroleum Science and Engineering, 2021, 207(6): 1-11. (SCI 一区, 影响因子: 5.168) [12] Fangfang Lu(通讯作者), et al. A Kernel-Based Node Localization in Anisotropic Wireless Sensor Network, Scientific Programming, 2021, 3: 1-8. (SCI 四区, 影响因子: 1.025) [13] Fangfang Lu(通讯作者), et al..A pore space reconstruction method of shale based on autoencoders and generative adversarial networks, Computational Geosciences, 2021, 25: 2149–2165. (SCI 三区, 影响因子: 2.948) [14] 卢芳芳(通讯作者), et al.基于SDM及加权均值滤波的人脸美化系统, beat365最新版下载学报, 2020, 36(4):374-378. [15] Fangfang Lu(通讯作者), et al. Super-Resolution Reconstruction of Remote Sensing Images Using Multiple-Point Statistics and Isometric Mapping, Remote sensing, 2017, 9, 724:1-22; doi:10.3390/rs9070724. (SCI 二区, 影响因子: 4.848) [16] Fangfang Lu(三作), Reconstruction of Porous Media using ISOMAP-based MPS, Stochastic Environmental Research and Risk Assessment, 2016, 30(1): 1-18. (SCI三区, 影响因子: 3.379) [17] Fangfang Lu(一作), et al. A No-Reference Image Quality Assessment Approach Based on Steerable Pyramid Decomposition Using Natural Scene Statistics, Neural Computing & Applications, 2015, 26(1): 77-90. (SCI二区, 影响因子: 5.606) [18] Fangfang Lu(一作), et al. A Statistical Method for No-Reference Image Quality Assessment, Journal of Computational Information Systems, 2014, 10(16): 7203-7212. (EI) [19] 卢芳芳(独立作者), 基于空时域失真测度的视频质量评价, 上海电力学报, 2014, 30(2): 169-175. [20] Fangfang Lu(一作), et al. Qunfei Zhao, Genke Yang, Nonsubsampled Contourlet Transform Based Algorithm for No-Reference Image Quality Assessment, Optical Engineering, 2011, 50(6): 067010-1-067010-10. (SCI四区, 影响因子: 1.084) [21] Fangfang Lu(一作), et al. Color Image Quality Assessment Based on Structural Similarity, Journal of Donghua University (Eng. Ed.), 2010, 27(4): 443-450. (EI)
专利: [1] 卢芳芳等.一种面向真实场景图像的无参考质量评价方法,2022.1,中国,Patent.2022102119486. [2]卢芳芳,秦枫.基于多尺度空间金字塔池化的真实场景图像质量评价方法,2021.12,中国,Patent.2022102076531. [3]卢芳芳,沈文忠,张志浩,牛然.一种基于语义分割的轻量型瓷砖表面缺陷检测方法,2021.6,中国,202110695481.2. [4]卢芳芳,一种基于半监督学习的光伏面板故障检测方法,2019.8,中国,201910804238.2. [5] 赵群飞, 卢芳芳, 人脸检测中非特征区域图像处理的方法,2012.4, 中国, ZL201010266992.4. | ||
科研项目: 1. 企业横向项目,H2022-263,智慧工地安全隐患自动识别报警系统,2022/11-2024/06,20万元,在研,主持 2. 企业横向项目,H2022-238,压力表全自动视觉检测系统及其它开发项目,2022/9-2024/10,15万元,在研,主持 3. 企业横向项目,H2017-141,骨头外科手术导航中的增强现实技术研究,2017/11-2019/06,30万元,结题,主持 4. 国家自然科学基金面上项目,41672114,页岩三维数字岩心表征及重构方法研究,2017/01-2020/12,56万元,结题,参加 5. 国家自然科学基金青年科学基金项目,61503235,基于张量学习的多源异质多视角视频显著性分析,2016/01-2018/12,22万元,结题,参加 6. 上海市优青项目,Z2015-106,基于通用失真类型的图像质量评价方法,2015/11-2017/11,5万元,结题,主持 7. beat365最新版下载引进人才启动项目,K2014-020,基于失真测度的图像及视频质量评价方法,2014/04-2017/04,3万元,结题,主持 |