曹菁菁,武汉理工大学副教授,硕导,香港城市大学计算机科学系博士。2018年至今,任物流系统科学与工程研究所书记,院青科协副会长。亚太认知智能学会(AACI)理事,CCF普适计算、协同计算专委会委员,物流教指委成员。主持完成一项国家自然科学基金青年项目、一项武汉理工大学自主创新研究基金项目,参与多个国家自然科学青年、面上基金、科技部国际科技合作项目,主持和参与多项企业项目。发表国际期刊和会议学术论文40余篇,发明专利授权5项,软著多项。担任Pattern Recognition, IEEE Transactions on Industrial Informatics, Neurocomputing, Information Fusion, Information Sciences等国际期刊审稿人,被国际期刊Neurocomputing评为杰出审稿人。主讲《物流信息系统》、《物流大数据分析》(原名《智慧物流与数据挖掘》)、《物流系统大数据与云计算》等课程。指导本科生、研究生开展科技创新创业,获得国家及省级奖励4项。
曹菁菁副教授致力于智慧交通物流系统的信息化和智慧化研究,将智能优化算法、离散事件仿真、机器学习与大数据分析方法和信息系统开发技术广泛用于高水平研究以及产学研合作。
2024级研究生有意者请看(交通运输工程(学硕专硕),机械工程(学硕专硕),物流工程与管理(专硕),海南专项(专硕)):
如果你对我的研究背景和主持项目感兴趣,能在项目实践或学术研究上有长远发展,欢迎提前联系我。有意的同学请大胆地提前邮件联系我,附上自己简历、成绩单。之后根据情况我会安排视频面谈,面谈请准备讲述自己期望在研究生期间的研究方向或项目意向。
对于硕士研究生的期望: 我希望和你找到共同的兴趣点,挖掘你的个人潜力。无论你打算找工作还是读博,我们可以寻找一个合适的方向和切入点,为今后做准备。
长期招收本科生研究助理:
对学有余力的大二至大四同学,如果你对我的研究背景感兴趣,欢迎前来聊聊看看有什么有趣的题目可以共同完成,并且为毕业设计做准备。有意的同学请发邮件到bettycao@whut.edu.cn,附带简历以及任何你觉得有利于我了解你的材料,我通常会在1-3天内回复。
[1] Xiaodong Li, Jingjing Cao#, Zhaoqing Pan, Market impact analysis via deep learned architectures, Neural Computing and Applications,31(10): 5989-6000 (2019)(SCI, IF =4.664)
[2] Jingjing Cao, Wenfeng Li#, Congcong Ma, Zhiwen Tao, Optimizing multi-sensor deployment via ensemble pruning for wearable activity recognition, Information Fusion, 2018, 41(5): 68-79(SCI, IF = 13.669)
[3] Yaohan Shen, Xianhao Xu, Jingjing Cao*, Reconciling predictive and interpretable performance in repeat buyer prediction via model distillation and heterogeneous classifiers fusion. Neural Computing and Applications, 32 (13): 9495-9508 (2020)(SCI, IF =4.664)
[4] Jingjing Cao, Sam Kwong#, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong, Class-specific soft voting based multiple extreme learning machines ensemble, Neurocomputing, 2015, 149: 275-284 (SCI, IF = 4.438)
[5] Jingjing Cao, Sam Kwong#, Ran Wang, A noise-detection based Adaboost algorithm for mislabeled data, Pattern Recognition, 2012, 5(12): 4451-4465(SCI, IF = 7.196)
[6] Congcong Ma, Wenfeng Li#, Jingjing Cao, Juan Du, Qimeng Li, Raffaele Gravina, Adaptive sliding window based activity recognition for assisted livings, Information Fusion, 2020, 53: 55-65(SCI, IF = 13.669)
[7] Shizhen Zhao, Wenfeng Li#, Jingjing Cao, A User-adaptive Algorithm for Activity Recognition based on K-Means Clustering, Local Outlier Factor, and Multivariate Gaussian Distribution, Sensors, 2018, 18(6):1850 (SCI, IF = 3.275)
[8] Congcong Ma, Wenfeng Li#, Raffaele Gravina, Jingjing Cao, Qimeng Li, Giancarlo Fortino, Activity Level Assessment Using a Smart Cushion for People with a Sedentary Lifestyle, Sensors, 2017, 17(10):2269(SCI, IF = 3.275)
[9] Xiaodong Li, Haoran Xie, Ran Wang, Yi Cai#, Jingjing Cao, Feng Wang, Huaqing Min, Xiaotie Deng, Empirical Analysis: Stock Market Prediction via Extreme Learning Machine, Neural Computing and Applications, 2016, 27(1):67-78 (SCI, IF = 4.664)
[10] Xiangfei Kong, Kuan Li, Jingjing Cao, Qingxiong Yang, Liu Wenyin#, HEp-2 Cell Pattern Classification with Discriminative Dictionary Learning, Pattern Recognition, 2014, 47(7): 2379-2388 (SCI, IF =7.196)
[11] Ran Wang, Sam Kwong#, Degang Chen, Jingjing Cao, A Vector-valued SVM Model for Multiclass Problem, Information Sciences, 2013. 235: 174-194 (SCI, IF = 5.910)
[12] Hao Gao, Sam Kwong#, Jijiang Yang, Jingjing Cao, Particle swarm optimization based on intermediate disturbance strategy algorithm and its application into multi-threshold image segmentation, Information Sciences, 2013, 250: 82-112(SCI, IF = 5.910)
[13] Ke Li, Sam Kwong#, Jingjing Cao, Miqing Li, Jinhua Zheng, Ruimin Shen, Achieving Balance between Proximity and Diversity in Multi-objective Evolutionary Algorithm, Information Sciences, 2012, 182 (1): 220-242(SCI, IF = 5.910)