胡蓉

发布时间：2025-05-20


姓 名：胡蓉
职 称：教授
电子邮箱：896410521@qq.com

教育背景：

  • 计算机应用技术 博士（南京理工大学，2009.02-今）

  • 计算机应用技术 硕士（长沙理工大学，2003.09-2006.07）

  • 计算机应用技术 学士（国防科技大学，1995.09-1999.12）

讲授课程：
《计算机网络技术》《工程伦理》《深度学习导论》

研究领域：
人工智能、机器学习、大数据分析、深度学习

科研项目：

  1. 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”；（项目编号2017J01729，2017-2020，7万元，结题，主持）

  2. 3 福建省自然基金项目“马赛克编码卷积神经网络的车载网多入侵检测技术研究”（项目编号2021J011069，2021-2024，7万元，结题，主持）

  3. 4 教育部协同育人项目 “新工科背景下网络操作系统课程建设”（2项目编号02101115001，2019-2020,5万元，结题，主持）

  4. 3.国家自然基金项目“城市客流移动数据的模式分析、可视化和决策优化支持”  （项目编号41471333，2019-2024,27万，结题，主要参与）


代表性论文：

  1. Chen Z, Li Z, Chen X, Chen X, Fan H, Hu R. Rectifying inaccurate unsupervised learning for robust time series anomaly detection. Information Sciences. 2024 Jan 29:120222.

  2. Xiang Y, Hu R, Xu Y, Hsu C-Y, Du C. Gaussian Weighted Eye State Determination for Driving Fatigue Detection. Mathematics. 2023; 11(9):2101. https://doi.org/10.3390/math11092101.

  3. Hsu, C. Y., Hu, R., Xiang, Y., Long, X., & Li, Z. (2022). Improving the Deeplabv3+ Model with Attention Mechanisms Applied to Eye Detection and Segmentation. Mathematics, 10(15), 2597.

  4. Hu, Rong, Zhongying Wu, Yong Xu, Taotao Lai, and Canyu Xia. "A multi-attack intrusion detection model based on Mosaic coded convolutional neural network and centralized encoding." Plos one 17, no. 5 (2022): e0267910.

  5. Hu, R., Wu, Z., Xu, Y., & Lai, T. (2022). Vehicular-Network-Intrusion Detection Based on a Mosaic-Coded Convolutional Neural Network. Mathematics, 10(12), 2030.

  6. Hu, Rong, Zhongying Wu, Yong Xu, and Taotao Lai. "Multi-attack and multi-classification intrusion detection for vehicle-mounted networks based on mosaic-coded convolutional neural network." Scientific Reports 12, no. 1 (2022): 1-16. 2022.3

  7. Hu, Rong, Yong Xu, Hanlin Chen, and Fumin Zou. "A novel method for the detection of road intersections and traffic rules using big floating car data." IET Intelligent Transport Systems (2021). 2021.9

  8. 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.

  9. 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.

  10. 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.

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

  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.

  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.

  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.

  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.

  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.

  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.

  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.

Conference Paper

  1. Nziyumva, Eric, Rong Hu, Chih-Yu Hsu, and Jovial Niyogisubizo. "Electrical Load Forecasting Using Hybrid of Extreme Gradient Boosting and Light Gradient Boosting Machine." In The International Conference on Image, Vision and Intelligent Systems (ICIVIS 2021), pp. 1083-1093. Springer, Singapore, 2022.

  2. 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.

  3. 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.

  4. 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)

  5. 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)

  6. 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.

  7. 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


奖项与荣誉：

  1. 1.福建省科学技术进步奖三等奖 “集中式空调系统低耗自洁智能运维关键技术研发与工程应用”（2025）

  2. 2.湖南省教育厅教学成果奖三等奖（2010）

  3. 3.湖南省教育教学改革发展优秀成果奖二等奖（2013）