电子邮箱：jianqing.wu@jxust.edu.cn

本科生课程：计算机科学导论，Python程序设计，Web技术及应用，移动应用开发，物联网设计，新手导论与职业规划，大学生职业生涯规划

研究生课程：高级数据库新技术

研究方向：智能交通系统，工业大数据与缺陷检测，时序预测与机器学习算法，多源数据融合与智能决策

2021年于澳大利亚沃隆港大学获博士学位，2016年受“国家建设高水平大学公派研究生项目”资助赴澳留学。长期从事智能交通、工业大数据、时序预测与机器学习等领域研究，注重理论与应用结合，致力于推动交通系统智能化与工业数据价值化。

本课题组采用“小而精”培养模式，借鉴“注意力机制”，旨在深度优化培养对象的“核心架构”，避免追逐全局性的“数据热点”。抵御科研“过拟合”需立足于高质量的“数据”（基础）上的持续“梯度下降”（努力）。通过融合“优化器”的引导与“正则项”的约束，助力其在整个科研训练周期中，获得强大的“泛化能力”。

DBLP:https://dblp.org/pid/52/7944-2.html

代表性成果：

[1] Wu, Jianqing, Xiao, Xukai, Du, Bo, Shen, Jun, Wu, Zhan, Wang, Yihui, Yu, Xiangchun, Yang, Shuxin. A Multiscale-Based Model for Train Delay Prediction Considering Spatio-Temporal Correlations. Transportation Research Part C: Emerging Technologies, 2026, 182: 105417.(SCI/SSCI一区TOP期刊)

[2] Wu, Jianqing, Xiao, Xukai, Zhou, Yitao, Du, Bo, Shen, Jun, Chen, Yishan, Wang, Bi, Wu, Qiang. A Railway Network Dataset Incorporating Multi-Type Train Operation Records and Train Scheduling. Scientific Data, 2025. (Nature子刊)

[3] Yang, Shuxin, Xie, Yang, Wu, Jianqing*, Huang, Weidong, Yan, Hongsheng, Wang, Jingyong, Wang, Bi, Yu, Xiangchun, Wu, Qiang, Xie, Fei. CFE-YOLOv8s: Improved YOLOv8s for Steel Surface Defect Detection. Electronics, 2024, 13(14): 2771.（SCI三区）

[4] Wu, Jianqing, Du, Bo, Gong, Zengyang, Wu, Qiang, Shen, Jun, Zhou, Luping, Cai, Chen. A GTFS Data Acquisition and Processing Framework and Its Application to Train Delay Prediction. International Journal of Transportation Science and Technology, 2023, 12(1): 201-216.（中国科学院二区）

[5] Wu, Jianqing, Xiao, Xukai. The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(3): 2445-2456.(SCI一区TOP期刊, CCF B)

[6] Wu, Jianqing, Du, Bo, Wu, Qiang, Shen, Jun, Zhou, Luping, Cai, Chen, Zhai, Yanlong, Wei, Wei, Zhou, Qingguo. A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series. Future Transportation, 2021, 1(3): 765-776.

[7] Wu, Jianqing, Wang, Yihui, Du, Bo, Wu, Qiang, Zhai, Yanlong, Shen, Jun, Zhou, Luping, Cai, Chen, Wei, Wei, Zhou, Qingguo. Multivariate Multi-Step Train Delay Forecasting: A Hybrid LSTM-CPS Solution. Transportation Research Board 100th Annual Meeting, 2021.(交通领域国际顶级会议)

[8] Wu, Jianqing, Wu, Qiang, Shen, Jun, Cai, Chen. Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys. Sensors, 2020, 20(12).(SCI三区)

[9] Wu, Jianqing, Zhou, Luping, Cai, Chen, Dong, Fang, Shen, Jun, Sun, Geng. Towards a General Prediction System for the Primary Delay in Urban Railways. 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019: 3482-3487.(智能交通领域旗舰会议)

[10] Wu, Jianqing, Zhou, Luping, Cai, Chen, Shen, Jun, Lau, Sim Kim, Yong, Jianming. Data Fusion for MaaS: Opportunities and Challenges. 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2018: 642-647.(EI会议，CCF C)

[11] Wu, Jianqing, Huang, Yan, Kong, Jiaming, Tang, Qin, Huang, Xin. A Study on the Dependability of Software Defined Networks. Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications, 2015: 314-318.(EI会议)

主持承担科研项目及经费：

1.国家自然科学基金（地区项目）：基于知识增强的多线路列车晚点传播及恢复研究（2025–2028，33万元），主持

2.江西省教育厅科技项目：基于机器视觉的手机镜头框表面缺陷检测研究（2023–2025，3万元），主持

3.江西理工大学博士科研启动基金项目：基于机器学习的时间序列建模及智能交通应用（2022–2025，18万元），主持

发明专利：

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）

吴剑青,肖旭凯,王碧,曾博文.一种基于多时间尺度的列车晚点预测方法,2025.09.09，ZL2025101935404（发明专利）