性别: 男
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
获“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2021年9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,2023年1月 - 2025年12月, 省级, 3万
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, 18万