姓名：胡蓉

学科：计算机

所在院部：信息科学与工程学院

办公室：网络工程教研室

办公室电话：

手机：15750818158

e-mail: hurong0910@qq.com

学术自述

主要研究方向：大数据分析、深度学习、交通数据处理、大数据应用等，主持省级自然基金1项，省级其他课题2项，参与国家级课题2项，省级各类项目10多项。主要以一作者身份发表SCI，EI级别国际期刊20多篇。发明专利授权20多件。

教育背景（从大学起）

2009.2-2013.1  南京理工大学  计算机科学应用科学与技术  全日制博士

 2003.9-2006.7  长沙理工大学  计算机应用技术          全日制硕士

 1996.9-1999.12  国防科技大学计算机应用技术    本科

2000.3-2003.6    北京工商大学；管理学学士，中央广播电视大学，会计学专业本科　

工作经历

1996.9-2003.9  湖南益阳广播电视大学  教务管理教师

2006.7-2009.2  长沙航空职业技术学院   副教授

2013.6-         福建工程学院          教授

科研情况

主要科研项目

1 .福建省地理信息中心项目“基于交通轨迹数据的路网变化自动识别及实时更新关键技术研究” 8万，主持，在研

2  .福建省自然基金项目“面向交通轨迹大数据的挖掘算法研究” 7万，主持，在研

3 .福建工程学院启动金“模糊神经网络增量学习算法研究” 8万，主持，在研

4  . 国家自然基金“城市客流移动数据的模式分析、可视化和决策优化支持”90万，主要参与

5 . 福建省自然基金项目“基于可比较语料库的中英文双语术语自动抽取研究”3万，

6  横向合作课题福建工程学院和广州周立功单片机科技有限公司共同组建嵌入式技术及电子测量联合实验室           参与

7   福建省级科技项目  大规模生物医学本体匹配智能技术的研究  参与

8   福建省发改委基于大数据挖掘的智慧城市标准地址管理与应用关键技术研究及推广数字福建交通大数据研究所            参与

主要科研成果

主要论文

(1)        Rong H, Chiu Y C, Hsieh C W. Crowdedness Prediction on Mass Rapid Transit systems using a Weighted Bidirectional Recurrent Neural Network[J]. IET Intelligent Transport Systems, 2020.(SCI)

(2)        Hu R, Chiu Y C, Hsieh C W, et al. Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network[J]. Journal of Advanced Transportation, 2019, 2019. (SCI)

(3)        Rong H, Congestion Prediction on Rapid Transit System Based on Weighted Resample Deep Neural Network[C]//The Euro-China Conference on Intelligent Data Analysis and Applications. Springer, Cham, 2018: 586-593.(EI)

(4)        Xu W,Hu R,Chen Z,et al.Shortest path searching for logistics based on simulated annealing algorithm[J].Genetic and Evolutionary Computing,2019.

(5)        Rong H, Ye X, Traffic Condition Recognition Based on Vehicle Trajectory Big Data, Journal of Internet Technology, vol. 18, no. 7 ,Dec. 2017. pp. 1587-1596, （SCI）

(6)        Rong H, Ye, xie., & Kuang, F. J. (2017, October). Real-Time Path Planning Based on Dynamic Traffic Information. In The Euro-China Conference on Intelligent Data Analysis and Applications (pp. 388-393). Springer, Cham.(EI)

(7)        Fang W, Rong H, Xiang X, et al. A novel road network change detection algorithm based on floating car tracking data[J]. Telecommunication systems, 2016: 1-7.（通信作者，SCI）

(8)        Rong H, Ye Xia. Automotive Air-conditioning Systems Performance Prediction Using Fuzzy Neural Networks,2016 IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Nov.2016, Kaohsiung, Taiwan, Vol.2,291-296(EI)

(9)        Rong H, Ye Sha, Hai-Yang Yang. A Novel Uninorm-Based Evolving Fuzzy Neural Networks [M]//Intelligent Data Analysis and Applications. Springer International Publishing, 2015: 469-478.(EI)

(10)    Rong H, Ye X, Xiang X. A Self Adaptive Incremental Learning Fuzzy Neural Network Based on the Influence of a Fuzzy Rule, International Conference on Intelligent Information Hiding and Multimedia Signal Processing. 2015. Sep. 23-25, 2015, Adelaide, Australia, pp. 360-363.(EI)

(11)    Rong H , Wei-hong X, An Efficient Increment Sequential learning algorithm for fuzzy neural  network, Control and Decision, 2013vol.28(4):1564-1568(EI)

(12)    Rong H, Wei-Hong X, Gan L. Incremental Sequential Learning for Fuzzy Neural Networks [J]. Pattern Recognition & Artificial Intelligence, 2013, 28(10):1564-1567.(EI)

(13)    Rong H, Wei hong X, Nanjing, et al. Pruned Incremental Extreme Leaning Machine Fuzzy Neural Network[J]. Computer Science, 2013, 40(5):279-282.(EI)

(14)    Rong H , Wei-hong X, Fang-jun Kuang, Mingming Sun, Ye Xia, Candid Incremental Singular Value Decomposition and Classifier for Face Recognition. Journal of Computational Information Systems, 2012, vol.8 (8):1-8.(EI)

(15)    Rong H, Wei-hong X, Fang-jun Kuang, An Improved Incremental Singular Value Decomposition, IJACT: International Journal of Advancements in Computing Technology，2012,vol.4(2):95 -102.(EI)

(16)    Rong H,  Yie X, Hai-Yang Y. A Novel Uninorm-Based Evolving Fuzzy Neural Networks [M]//Intelligent Data Analysis and Applications. Springer International Publishing, 2015: 469-478.(EI)

(17)    Rong H , Wei-hong X, Jian-ping W, Candid Covariance-Free Incremental Singular Value Decomposition, Journal of Information and Computational Science, 2010,vol.7(13): 2607-2612.(EI)

(18)    Rong H , Wei-hong X,Ye X, An Improved Fuzzy Neural Network Based on RBF, Journal of Ningxia University(Natural Science Edition), 2009,vol.31(3):239-241.(EI)

(19)    Rong H ,Wei-HongX, Jian-Ping W,  Jia-Ying W, A Novel Way of Face Recognition to Improve the Quality of Features Extraction，2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, vol.4,237-241. Shanghai, 2009. 11.22-29(EI)

合作发表论文

(20)    Xu X, Hu R. Dynamic Traffic Information Estimation Based on Floating Car Data[C]//International Conference on Smart Vehicular Technology, Transportation, Communication and Applications. Springer, Cham, 2018: 123-130.(EI)

(21)    Xia Y, Hung M H, Hu R. Performance Prediction of Air-conditioning Systems Based on Fuzzy Neural Network[J]. Journal of Computers, 2018, 29(2): 7-20.(EI)

(22)    Xia Y, Hu R. Fuzzy neural network based energy efficiencies control in the heating energy supply system responding to the changes of user demands[J]. J. Netw. Intell, 2017, 2(2): 186-194. (EI)

(23)    DENG, Y. L., ZOU, F. M., Xiang, X. U., & Rong, H. U. (2016). An algorithm for identifying the change of road restriction based on K-means clustering. DEStech Transactions on Computer Science and Engineering, (mcsse).(EI)

主要专利

主要获奖情况

1 “高职网络技术专业个性化教学模式的探索”教学成果奖       湖南省教育厅         三等奖     2010.10

2“关键能力和专业能力相结合的教学模式探讨”湖南省教育教学改革发展优秀成果奖  湖南省教育科学研究院         二等奖         2013.12