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

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。目前主持国家自然科学基金项目1项，参与2项，主持江西省教育厅基金1项，已在国内外高水平期刊和学术会议上发表论文30余篇。担任IEEE TITS、KBS、CAIS等学术期刊审稿人。

出版著作及代表性论文：

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. 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, 中科院一区TOP, CCF B，第一作者)

3. 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, 2021, doi: 10.3390/futuretransp1030042. (第一作者)

4. 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)

5. 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, 中科院三区，第一作者)

6. 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)

7. 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)

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

9. Variational AdaBoost knowledge distillation for skin lesion classification in dermatology images, Complex & Intelligent Systems, 2024,doi: https://doi.org/10.1007/s40747-024-01501-4（中科院二区，通讯作者）

10. CFE-YOLOv8s: Improved YOLOv8s for Steel Surface Defect Detection， Electronics， 2024, vol. 13,no 14, 2771. https://doi.org/10.3390/electronics13142771 （中科院三区，共同通讯作者）

11. Continuous Control with Swarm Intelligence Based Value Function Approximation. IEEE Transactions on Automation Science and Engineering, vol. 21, no. 1, pp. 976-988, 2023. (SCI，中科院一区TOP，共同通讯作者)

12. 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）

主持承担科研项目及经费：

1.国家自然科学基金地区基金项目,62466023,基于知识增强的多线路列车晚点传播及恢复研究,2025/01-2028/12,33万,在研,主持

2.江西省教育厅科技项目,GJJ2200830,基于机器视觉的手机镜头框表面缺陷检测的方法研究,负责人,2023/01-2025/12,3万,在研,主持

3.江西理工大学博士科研启动基金项目,205200100591,基于机器学习的时间序列建模研究及智能交通应用,2022/03-2025/02,18万,在研,主持

科研成果（获奖、专利、版权、著作权、外观设计和荣誉等）：

吴剑青,谢扬,杨书新,黄伟东,王碧,曾博文.一种基于深度学习的表面缺陷检测方法,2024.08.13，ZL202311518976.3（发明专利）