袁非牛













(0)

性别：男
聘任技术职务：教授
学历：研究生教育
联系电话：
电子邮箱：yfn@shnu.edu.cn
通讯地址：
部门：信息与机电工程学院
学位：工学博士学位
毕业院校：中国科学技术大学
办公地址：




研究方向：


袁非牛
博士，教授，博士生导师，副院长。
研究方向：人工智能、深度学习、模式识别、医学图像处理、3D重建、虚拟现实
博士招生专业：计算数学
博士招生方向：算法与计算复杂性(人工智能)
博士招生代码：070102
博士点所在学院：上海师范大学数理学院
考试科目：①1001 英语；②2058离散数学或2059算法或2060人工智能；③3039数值分析。具体考试科目以上海师范大学研究生院当年发布的博士研究生招生目录为准！
本人招收人工智能、深度学习、图像处理、智能信息处理、计算机图形学等方向的硕士、博士研究生，欢迎报考！
Email: yfn@ustc.edu

个人简介：
袁非牛，男，教授，博士，博士生导师，副院长，上海市人文社科重点研究基地“上海市中小学在线教育研究中心”副主任，院学术委员会副主任，学科带头人。CCF高级会员，IEEE高级会员，CCF多媒体专委会委员，中国图象图形学会多媒体专委会委员，上海市图像图形学会理事。2011年，江西省高校中青年骨干教师。2013年，南昌市科技创新领军人才“洪城特聘专家”。2014年，江西省****。2015~2018年，江西省重点学科“计算机科学与技术”学科带头人，江西财经大学“图像处理与智能信息处理”创新团队负责人、智能信息处理研究所所长，江西省数字媒体重点实验室副主任。曾获原机械工业部“部级优秀毕业生”、中国科学院“院长优秀奖”、江西财经大学“科研十强”、“十大优秀研究生导师”等荣誉。
主持国家科技支撑计划子专题、国家自然科学基金项目、中国博士后基金、国家重点实验室开放课题、江西省自然科学基金、江西省高校科技落地计划项目、江西省教育厅科技项目等项目。在IEEE Transactions on Image Processing、IEEE Transactions on Biomedical Engineering、Pattern Recognition、Fire Safety Journal、Digital Signal Processing、Information Sciences、Neurocomputing、Computer Vision and Image Understanding、计算机学报等上发表论文90多篇。其中，SCI/EI收录50多篇，JCR Q1区以上20多篇。授权国内发明专利5项。
积极开展产学研合作。例如，已经成功为江西科泰华软件公司(http://www.jxkth.com)解决人脸识别、图像分割、人像抠图和美颜等算法难题，这些算法已经应用在自助拍照机等产品上，并研发出基于Windows、Android和iOS系统的证件照抠图算法模块，相关产品已在在全国各地公安派出所应用，产生很好的社会效应和几千万元的经济效益。采用深度学习算法，提出一种专门的端对端人像抠图网络模型，实现了快速、准确的全自动人像抠图智能算法，并在二代身份证自助拍照系统、驾驶证自助拍照系统等广泛应用。

英文主页：http://staff.ustc.edu.cn/~yfn/

1. 学习工作经历
2018~现在，上海师范大学，教授、博士生导师
2013~2018，江西财经大学，教授、博士生导师
2010~2013，江西财经大学，教授、硕士生导师
2010~2012，新加坡科学技术研究局(A*STAR)，高级研究员(Senior Research Fellow)
2006~2010，江西财经大学，副教授、硕士生导师
2004~2006，中国科学技术大学，博士后
2001~2004，中国科学技术大学，博士生
1998~2001，合肥工业大学，硕士生(免试)
1994~1998，合肥工业大学，本科生
2. 学生科研团队
指导毕业博士生2人，在读博士生2人，在读硕士生10人。
3. 主讲课程
本科：深度学习、数据库应用、计算机基础、Visual C++程序开发、面向对象程序设计C++ (双语)
硕士：深度学习、计算机视觉、现代信号处理、虚拟现实技术、模式识别、数字图像处理
博士：人工智能前沿
4. 发表的部分论文

[1].Yuming Fang, Guanqun Ding, Wenying Wen, Feiniu Yuan, Yong Yang, Zhijun Fang, Weisi Lin, Salient Object Detection by Spatiotemporal and Semantic Features in Real-Time Video Processing Systems,IEEE Transactions on Industrial Electronics, online. (JCR Q1区，中科院1区，影响因子7.503)
[2].Qinghua Huang, Yonghao Huang, Yaozhong Luo, Feiniu Yuan, Xuelong Li, Segmentation of breast ultrasound image with semantic classification of superpixels, Medical Image Analysis, vol. 61, 2020, pp. 1-13. (JCR Q1区，中科院1区，影响因子8.880)
[3].Qinghua Huang, Fengxin Pan, Wei Li, Feiniu Yuan, Hangtong Hu, Jinhua Huang, Jie Yu, Wei Wang, Differential Diagnosis of Atypical Hepatocellular Carcinoma in Contrast-Enhanced Ultrasound Using Spatio-Temporal Diagnostic Semantics, ” IEEE Journal of Biomedical and Health Informatics, online. (JCR Q1区，中科院2区，影响因子4.217)
[4].Feiniu Yuan,Gang Li, Xue Xia, Lin Zhang, Jinting Shi, “Multi-layer Gabor Filtering for Visual Smoke Recognition,” Pattern Analysis and Applications, under review, online. (JCR Q2区，SCI)
[5].Feiniu Yuan, Lin Zhang, Xue Xia, Qinghua Huang, Xuelong Li, A Wave-shaped Deep Neural Network for Smoke Density Estimation,IEEE Transactions on Image Processing, vol. 29, 2020, pp. 2301-2313. (JCR Q1区，中科院1区，影响因子6.790)
[6].Feiniu Yuan, Yu Zhou, Xue Xia, Jinting Shi, Yuming Fang, Xueming Qian “Image dehazing based on a transmission fusion strategy by automatic image matting,”Computer Vision and Image Understanding, vol. 194, 2020, pp. 1-11.(JCR Q1区，CCF 推荐的B类期刊，影响因子2.645，SCI期刊)
[7].袁非牛, 章琳, 史劲亭, 夏雪, 李钢. 自编码神经网络理论及应用综述. 计算机学报, 42(1), 2019: 203-230. (EI：20**9)
[8].Yuming Fang, Xiaoqiang Zhang, Feiniu Yuan (通讯作者), Nevrez Imamoglu, Haiwen Liu, Video Saliency Detection by Gestalt Theory, Pattern Recognition, vol. 96, no. 12, Dec. 2019, pp. 1-11. (JCR Q1区，中科院1区，影响因子5.898)
[9].Feiniu Yuan, Lin Zhang, Xue Xia, Boyang Wan, Qinghua Huang, Xuelong Li, “Deep Smoke Segmentation,”Neurocomputing, vol. 357, 2019, pp. 248–260.(SCI期刊，JCR Q1区，中科院2区，影响因子4.072)
[10].Feiniu Yuan,Gang Li, Xue Xia, Lin Zhang, Jinting Shi, “Fusing Texture, Edge and Line Features for Smoke Recognition,” IET Image Processing, vol. 13, no. 14, 2019, pp. 2805-2812.(JCR Q1区，CCF 推荐的C类期刊，SCI期刊论文，影响因子2.004)
[11].Feiniu Yuan, Jinting Shi, Xue Xia, Qinghua Huang, and Xuelong Li, “Co-occurrence Matching of Local Binary Patterns for Improving Visual Adaption and Its application to Smoke Recognition,” IET Computer Vision, Volume 13, Issue 2, March 2019, pp. 178–187.(JCR Q2区，CCF 推荐的C类期刊，SCI期刊论文，影响因子1.648)
[12].Feiniu Yuan, Lin Zhang, Boyang Wan, Xue Xia and Jinting Shi, Convolutional Neural Networks based on Multi-Scale Additive Merging Layers for Visual Smoke Recognition, Machine Vision and Applications, vol. 30, no. 2, 2019, pp. 345–358. (CCF 推荐的C类期刊，JCR Q2区，SCI期刊论文，影响因子1.788)
[13].Feiniu Yuan, Tiantian Tang, Xue Xia, Jinting Shi, and Shuying Li, Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition, KSII Transactions on Internet and Information Systems, vol. 13, no. 4, pp. 2078-2093, 2019. (SCI期刊，JCR Q3区)
[14].Feiniu Yuan, Xue Xia, Jinting Shi, “Holistic learning-based high-order feature descriptor for smoke recognition” International Journal of Wavelets, Multiresolution and Information Processing, vol. 17, no. 2, 2019. (SCI期刊，JCR Q3区)
[15].Zhifang Xia, Weiling Chen, Qiaohong Li, Feiniu Yuan, Chuangeng Tian, Lu Tang, Prediction of Mobile Image Saliency and Quality Under Cloud Computing Environment, Digital Signal Processing, vol. 91, 2019, pp.66-76. (JCR Q1区，影响因子2.792)
[16].Feiniu Yuan, Jinting Shi, Xue Xia, Lin Zhang, Shuying Li, Encoding Pairwise Hamming Distances of Local Binary Patterns for Visual Smoke Recognition, Computer Vision and Image Understanding, vol. 178, pp. 43-53, Jan. 2019. (JCR Q1区，CCF 推荐的B类期刊，影响因子2.645，SCI期刊)
[17].Yu Zhou, Feiniu Yuan(通讯作者), Xue Xia, Ya Li, Single image haze removal by feature mapping, ICME Workshop, Shanghai, China, July 8 to 12, 2019, pp. 144-149. (CCF B类会议，EI：20**0)
[18].夏雪，袁非牛(通讯作者)，章琳，杨龙箴，史劲亭，“从传统到深度：视觉烟雾识别、检测到分割”，中国图象图形学报，火情与烟雾专栏，特邀投稿，vol. 24, no. 10, 2019: 1627-1647.
[19].杨龙箴，袁非牛(通讯作者)，杨寿渊，雷帮军，“基于连续图卷积模型的视频烟雾检测方法”，中国图象图形学报，火情与烟雾专栏，特邀投稿，vol. 24, no. 10, 2019: 1658-1669.
[20].袁非牛，李钢，夏雪，章琳，周宇. 采用聚合Gabor核和局部二元模式的烟雾识别方法. 小型微型计算机系统, vol. 40, no. 4, 2019: 827-833.
[21].袁非牛，夏雪，李钢，章琳，史劲亭. 面向烟雾识别与纹理分类的Gabor网络. 中国图象图形学报, 24(2), 2019: 269-281.
[22].Feiniu Yuan, Xue Xia, Jinting Shi, Lin Zhang, Jifeng Huang, Learning multi-scale and multi-order features from 3D local differences for visual smoke recognition, Information Sciences, vol. 468, pp. 193-212, Nov. 2018. (JCR Q1区区，中科院1区，影响因子5.524)
[23].Feiniu Yuan, Xue Xia, Jinting Shi, “Mixed Co-occurrence of Local Binary Patterns and Hamming-distance-based Local Binary Patterns,” Information Sciences, vol. 460–461, pp. 202-222, Sep. 2018. (JCR Q1区，中科院1区，影响因子5.524)
[24].史劲亭, 袁非牛(通讯作者), 夏雪. 视频烟雾检测研究进展.中国图象图形学报, 23(3) , 2018: 303-322.
[25].Zhijian Yin, Boyang Wan, Feiniu Yuan (通讯作者), Xue Xia, Jinting Shi, A deep normalization and convolutional neural network for image smoke detection, IEEE Access, vol. 5，pp. 18429 – 18438, Aug. 2017. (JCR Q1区，影响因子4.098，SCI期刊论文)
[26].Feiniu Yuan, Xue Xia, Jinting Shi, Hongdi Li, Gang Li, Non-linear Dimensionality Reduction and Gaussian Process based Classification Method for Smoke Detection, IEEE Access, vol.5, pp. 6833-6841, Apr. 2017. (JCR Q1区，影响因子4.098，SCI期刊论文)
[27].Yuming Fang, Zhijun Fang, Feiniu Yuan, Yong Yang, Shouyuan Yang, Neal N. Xiong. Optimized Multi-operator Image Retargeting Based on Perceptual Similarity Measure. IEEE Transactions on Systems, Man, and Cybernetics: Systems, Volume 47, Issue 11，pp. 2956-2966, Oct. 2017. (JCR Q1, SCI，影响因子7.351)
[28].Yong Yang, Weiguo Wan, Shuying Huang, Feiniu Yuan, Shouyuan Yang, Yue Que. Remote Sensing Image Fusion Based on Adaptive IHS and Multiscale Guided Filter.IEEE Access, vol. 4, pp. 4573-4582, Aug. 2016. (JCR Q1区，影响因子4.098，SCI)
[29].Feiniu Yuan, Jinting Shi, Xue Xia, Yuming Fang, Zhijun Fang, Tao Mei, “High-order local ternary patterns with locality preserving projection for smoke detection and image classification,” Information Sciences, vol. 372, pp. 225-240, Dec. 2016. (JCR Q1区，中科院1区，影响因子5.524，SCI).
[30].Feiniu Yuan, Jinting Shi, Xue Xia, Yong Yang, Yuming Fang, Rui Wang. Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification. KSII Transactions on Internet and Information Systems, vol. 10, no. 4, pp. 1807-1823, Apr. 2016. (SCI期刊，JCR Q3区)
[31].Lei Shu, Yuming Fang, Zhijun Fang, Yong Yang, Feiniu Yuan, Fengchang Fei. Image Interpolation Based on Saliency Information. International Journal of Signal Processing, Image Processing and Pattern Recognition, vol.8, no.10, pp. 97-106, Oct. 2015. (EI：20**7)
[32].Feiniu Yuan, Zhijun Fang, Shiqian Wu, Yong Yang, Yuming Fang. A Real-Time Video Smoke Detection Using Staircase Searching Based Dual Threshold AdaBoost and Dynamic Analysis. IET Image Processing, vol. 9, no. 10, pp. 849-856, Oct. 2015.(JCR Q1区，CCF 推荐的C类期刊，影响因子2.004)
[33].Feiniu Yuan. Rotation and Scale Invariant Local Binary Pattern Based on High Order Directional Derivatives for Texture Classification. Digital Signal Processing, vol. 26, no. 3, pp. 142-152, Mar. 2014. (JCR Q1区，影响因子2.792).
[34].Feiniu Yuan, Kai-Hsiang Chuang, and Jimin Liu. A Variational Surface Deformation and Subdivision Based Modeling Framework for Noisy and Small n-Furcated Tube-Like Structures. IEEE Transactions on Biomedical Engineering, vol. 60, no. 6, pp. 1589-1598, Jun. 2013. (JCR Q1区，中科院2区，影响因子4.491)
[35].Feiniu Yuan. A double mapping framework for extraction of shape-invariant features based on multi-scale partitions with Adaboost for video smoke detection. Pattern Recognition, vol. 45, no. 12, pp. 4326-4336, Dec. 2012. (JCR Q1区，中科院1区，影响因子5.898)
[36].Feiniu Yuan, Yanling Chi, Su Huang, and Jimin Liu. Modeling n-Furcated Liver vessels From a 3D Segmented Volume Using Hole Making and Subdivision Methods. IEEE Transactions on Biomedical Engineering, vol. 59, no. 2, pp. 552-561, Feb. 2012. (JCR Q1区，中科院2区，影响因子4.491)
[37].Feiniu Yuan. An interactive concave volume clipping method based on GPU ray casting with boolean operation. Computing and Informatics, vol. 31, no. 3, pp. 551-571, Sep. 2012. (SCI收录期刊论文)
[38].Feiniu Yuan. Video-based smoke detection with histogram sequence of LBP and LBPV pyramids. Fire Safety Journal, vol. 46, no. 3, pp. 132-139, Mar. 2011. (JCR Q1区，火灾科学国际权威期刊，影响因子1.659，该论文为2011~2016年《Fire Safety Journal》近5年most cited paper)
[39].Feiniu Yuan. An integrated fire detection and suppression system based on widely available video surveillance. Machine Vision and Applications, vol. 21, no. 6, pp. 941-948, Jun. 2010. (CCF 推荐的C类期刊，JCR Q2区，影响因子1.788，SCI收录期刊论文)
[40].Feiniu Yuan. Real time multiple planes based volume clipping on the programmable graphics process unit. Optica Applicata, vol. 39, no. 2, pp. 331-345, Jun. 2009. (JCR Q3区，SCI收录期刊论文)
[41].Feiniu Yuan. A fast accumulative motion orientation model based on integral image for video smoke detection. Pattern Recognition Letters, vol. 29, no. 7, pp. 925-932, Jul. 2008. (JCR Q1区，影响因子2.810)
5. 主持的部分项目
[1].基于Gabor卷积网络的多隐层高斯过程烟雾特征建模研究，国家自然科学基金(**)，项目负责人，2019-2022。
[2].烟雾流形建模及其在视频烟雾事件检测中的应用，国家自然科学基金(**)，项目负责人，2014-2017。
[3].面向烟雾检测的局部二元模式多级提升方法研究，国家自然科学基金(**)，项目负责人，2011-2013。
[4].高原古建筑火灾视频烟雾探测技术研究，国家科技支撑计划“以布达拉宫为代表的高原古建筑火灾安全技术研究”子专题(2006BAK06B07)，项目负责人，2006-2008。
[5]. 江西省青年科学家培养对象，江西省科学技术厅(20142BCB23014)，项目负责人，2015-2017。
[6].袁非牛，南昌市科技创新领军人才“洪城特聘专家”，人像比对应用共享服务平台开发项目，项目负责人，2013-2014。



（以下信息源于科研管理系统）
学术成果：论文[1]袁非牛,Xue Xia,Jinting Shi,Lin Zhang,黄继风. Learning multi-scale and multi-order features from 3D local differences for visual smoke recognition. INFORMATION SCIENCES,2018,468(1):193-212.
[2]袁非牛,Xue Xia,Jinting Shi. Mixed Co-occurrence of Local Binary Patterns and Hamming-distance-based Local Binary Patterns. INFORMATION SCIENCES,2018,460–461(1):202-222.
[3]袁非牛. 面向烟雾识别与纹理分类的Gabor网络. 中国图象图形学报,2019,42(2):269-281.
[4]袁非牛. Holistic learning-based high-order feature descriptor for smoke recognition. International Journal of Wavelets Multiresolution and Information Processing,2019,91(2):1-18.
[5]袁非牛. 自编码神经网络理论及应用综述. 计算机学报,2019,42(1):203-230.
[6]袁非牛. Deep Smoke Segmentation. NEUROCOMPUTING,2019,357(1):248–260.
[7]袁非牛. 采用聚合Gabor核和局部二元模式的烟雾识别方法. 小型微型计算机系统,2019,40(4):827-833.
[8]杨龙箴,袁非牛. 基于连续图卷积模型的视频烟雾检测方法. 中国图象图形学报,2019,24(10):1658-1669.
[9]袁非牛. Convolutional Neural Networks based on Multi-Scale Additive Merging Layers for Visual Smoke Recognition. MACHINE VISION AND APPLICATIONS,2019,30(2):345–358.
[10]袁非牛. Encoding Pairwise Hamming Distances of Local Binary Patterns for Visual Smoke Recognition. COMPUTER VISION AND IMAGE UNDERSTANDING,2019,468(1):193-212.
[11]袁非牛. Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition. KSII Transactions on Internet and Information Systems,2019,13(4):2078-2093.
[12]Zhifang Xia,袁非牛. Prediction of Mobile Image Saliency and Quality Under Cloud Computing Environment. DIGITAL SIGNAL PROCESSING,2019,91(1):66-76.
[13]袁非牛,Xiaoqiang Zhang,Yuming Fang. Video Saliency Detection by Gestalt Theory. PATTERN RECOGNITION,2019,96(12):1-11.
[14]夏雪,袁非牛. 从传统到深度：视觉烟雾识别、检测到分割. 中国图象图形学报,2019,24(10):1627-1647.
[15]袁非牛. Single image haze removal by feature mapping. IEEE International Conference on Multimedia and Expo,2019.





教学工作：教职工课程信息
开课学年 开课学期 课程名称
2020-2021 1 深度学习及其编程(Tensorflow)
2018-2019 2 数字图像处理
2018-2019 1 C语言程序设计




荣誉奖励：[1]. 2011年，江西省高校中青年骨干教师.
[2]. 2013年，南昌市科技创新领军人才“洪城特聘专家”.
[3]. 2014年，江西省青年科学家培养对象(江西省****).
[4]. 1998年，原机械工业部“部级优秀毕业生”
[5]. 2003年，中国科学院“院长优秀奖”




社会兼职：[1] CCF高级会员
[2]IEEE高级会员
[3]CCF多媒体专委会委员
[4]中国图象图形学会多媒体专委会委员
[5]上海市图像图形学会理事
[6]国家自然科学基金、省部级课题等评审专家
[7]IEEE Transactions on Image Processing、IEEE Transactions on Multimedia、Pattern Recognition、计算机学报等几十个期刊的审稿专家