院领导信箱 | 在线咨询 | 加入收藏 | English

导师信息-吴剑青

作者: 时间:2014-07-17 点击数:

导师信息

姓名:吴剑青                            


性别:  

学位/职称:博士/讲师(内聘副教授)

出生年月:1985年11月

学科专业:计算机科学与技术

联系电话:13194455953


电子邮箱:jianqing.wu@jxust.edu.cn

本科生课程:计算机科学导论,Web技术及应用,移动应用开发,物联网设计,软件综合课程设计,新手导论与职业规划

研究生课程:高级数据库新技术

研究方向:智能交通,工业大数据,时序预测,机器学习应用

“2016年国家建设高水平大学公派研究生项目”资助赴澳大利亚伍伦贡大学工程与信息科学学院留学,于20219月获得伍伦贡大学博士学位。目前主持在研项目2项,参与国家自然科学基金项目1项,已在国内外高水平期刊和学术会议上发表论文20余篇。

出版著作及代表性论文:

专著:

论文:

1. A GTFS data acquisition and processing framework and its application to train delay prediction,  International Journal of Transportation Science and Technology, vol. 12, no. 1, pp. 201-216, 2023, doi: https://doi.org/10.1016/j.ijtst.2022.01.005. (第一作者)

2. Continuous Control with Swarm Intelligence Based Value Function Approximation. IEEE Transactions on Automation Science and Engineering,2023, doi:10.1109/TASE.2023.3234961. (SCI,IF:6.636, 中科院一区TOP,通讯作者)

3. A Secure Traffic Police Remote Sensing Approach via a Deep Learning-Based Low-Altitude Vehicle Speed Detector through UAVs in Smart Cites: Algorithm, Implementation and Evaluation, Future Transportation, vol. 3, no. 1, pp. 189-209,2022, doi: 10.3390/futuretransp3010012. (通讯作者)

4. The bounds of improvements toward real-time forecast of multi-scenario train delays," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, pp. 2445-2456, 2022. (SCI, IF: 9.551, 中科院一区TOP, CCF B)

5. A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series," Future Transportation, vol. 1, no. 3, pp. 765-776, 2022, doi: 10.3390/futuretransp1030042, 2022. (第一作者)

6. Multivariate Multi-Step Train Delay Forecasting: A Hydrid LSTM-CPS Solution, Transportation Research Board 100th Annual Meeting Transportation Research Board (TRB), 2021 (Poster, 美国华盛顿, 第一作者)

7. Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys, Sensors, vol. 20, no. 12,2020,doi: 10.3390/s20123354. (SCI, IF: 3.275, 中科院三区,第一作者)

8. Towards a General Prediction System for the Primary Delay in Urban Railways, in 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, pp. 3482-3487, doi: 10.1109/ITSC.2019.8916868. (EI, Oral Presentation, 第一作者)

9. Data Fusion for MaaS: Opportunities and Challenges,  in 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2018, pp. 642-647, doi: 10.1109/CSCWD.2018.8465224. (EI,CCF C, 第一作者)

10. A Study on the Dependability of Software Defined Networks, in Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications, 2015: Atlantis Press, pp. 314-318, doi: https://doi.org/10.2991/meita-15.2015.58. EI, 第一作者)


主持承担科研项目及经费:


基于机器视觉的手机镜头框表面缺陷检测的方法研究, 江西省教育厅科技项目,负责人,20231 - 2025年12月, 省级, 3

基于机器学习的时间序列建模研究及智能交通应用, 205200100591,江西理工大学,负责人,2022年3月 - 2025年2月,校级纵向科研项目, 18



Copyright 2022 http://ie.jxust.edu.cn 江西理工大学信息工程学院 All Rights Reserved. 
通讯地址:中国.江西.赣州 客家大道1958号 办公电话:0797—8312830 Version:1.0