曹菁菁研究团队

学术

实验室师生在国际权威学术期刊和重要国际会议发表论文100余篇，其中包括Information Fusion、Pattern Recognition、Neurocomputing和计算机集成制造系统等重要国内外期刊，团队学术研究和工程实践成果得到国内外同行广泛认可。

研究方向

不管你是希望毕业能找个好工作、还是希望读研后继续读博、还是对于当前环境迷茫无措而又迫切想要改变的同学，我们都欢迎你的加入。请点击链接下载个人信息表，然后与你的简历使用邮件一同发送给bettycao@whut.edu.cn。

导师介绍
曹菁菁
 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。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3项，软著4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》、《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。 
   曹菁菁资料（武汉理工大学交通与物流工程学院网站）   
  曹菁菁资料（详细简历）   
 
周强
 周强，教授。1984年毕业于武汉水运工程学院港口机械工程专业，获工学学士学位；1987年毕业于武汉水运工程学院机械设计及理论专业，获工学硕士学位；同年参加工作；2002年在武汉理工大学获工学博士学位；主要从事港口装卸工艺与平面布置、港口物流技术与装备、复杂物流系统建模仿真、港口机械故障诊断等学科领域里的研究工作，发表科技论文60多篇，主持科研项目40多项，获得省部级科技进步奖9项，获得国家级教学成果二等奖1项。 
   周强资料（武汉理工大学交通与物流工程学院网站）   
  周强资料（详细简历）   
 
赵强伟
 赵强伟，技术架构师，企业导师，华中科技大学 计算机硕士，曾就职于华为、小米等大型互联网公司，擅长软件技术架构和人工智能算法。 
   赵强伟资料   
 
王宇（校外导师）
 西安交通大学（985）博士、副教授、硕士生导师、博士生导师。 2014年2月获得香港城市大学（QS全球排名45位）系统工程及工程管理学系博士学位。2013年到2014年在香港城市大学电子工程系担任副研究员（Research Associate）工作。IEEE高级会员，中国振动工程学会故障诊断分会理事。主持和参加国家自然科学基金重点项目、青年项目，博士后基金面上项目、特别资助项目，国家重点实验室项目，企业横向合作课题等近20项。在IEEE Transactions on Industrial Informatics, IEEE Transactions on Magnetics, IEEE Transactions on Instrument and Measurement，Journal of Sound and Vibration等国际著名学术刊物上发表研究论文60余篇，其中SCI收录50余篇，数篇论文ESI高被引，已发表论文至今已被引用1000余次。。 
   王宇资料   
 

科研论文
Zhangyan Zhao, Xiaoming Chen, Jingjing Cao, Qiangwei Zhao, Wenxi Liu, FE-Net: Feature enhancement segmentation network, Neural Networks (2024)2024/03
Xu, Xincao; Liu, Kai; Dai, Penglin; Xie, Ruitao; Cao, Jingjing; Luo, Jiangtao. Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach, IEEE Transactions on Intelligent Transportation Systems (2023)2023/12
张艳伟,周朝广,黄一帆,曹菁菁.基于目标图像组合算法的改进YOLOv5模型[J].中国工程机械学报,2023,21(06):509-514.2023/12
曹菁菁,余宙,李鹏飞,闵艳萍,黄齐贤,赵强伟.基于ST-AGCN算法的物流暴力分拣识别模型[J].交通信息与安全,2023,41(05):115-126.2023/10
Jingjing Cao, Yujia Chen, Xiaohua Cao#, Qiang Wang, Bo Wang, Jiepeng Du & Zhipeng Wen. SP2LSTM: a patch learning-based electrical load forecasting for container terminal. Neural Computing and Applications (2023). https://doi.org/10.1007/s00521-023-08878-22023/08
曹菁菁,雷阿会,刘清,张煜,王磊,严新平.虚实融合驱动智慧港口发展研究[J].中国工程科学,2023,25(03):239-250.2023/05
Jie Chu, Jingjing Cao# & Yujia Chen (2022). An Ensemble Deep Learning Model Based on Transformers for Long Sequence Time-Series Forecasting. Neural Computing for Advanced Applications. NCAA 2022.2022/10
Jingjing Cao# & Ahui Lei  (2022). Digital Twin-Driven Warehouse Management System for Picking Path Planning Problem. Advances in Computer Science for Engineering and Education. ICCSEEA 2022. 2022/04
申文,雷阿会,曹菁菁.供应链管理思想发展过程:战略观、系统观与可持续性研究[J].供应链管理,2022,3(12):5-20.2022/03
Fei Yin, Jingjing Cao#, Jie Chu & Shurchkova Olga (2021). Warehousing Process Mining Research Based on Petri Net. Advances in Artificial Systems for Logistics Engineering. ICAILE 20212021/07
Wenjing Yuan,Jingjing Cao#,Zeyi Jin,Fei Xia and Ran Wang, "A Multi-resident Activity Recognition Approach based on Frequent Itemset Mining Features," 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), Helsinki, Finland, 2019, pp. 1453-14582020/01
Congcong Ma, Wenfeng Li#, Jingjing Cao, Juan Du, Qimeng Li, Raffaele Gravina, Adaptive sliding window based activity recognition for assisted livings, Information Fusion, 53, 2020, pp. 55-652020/01
A Fog Computing Paradigm for Efficient Information Services in VANET2019/10
Reconciling predictive and interpretable performance in repeat buyer prediction via model distillation and heterogeneous classifiers fusion2019/08
A Zero Site-Survey Overhead Indoor Tracking System using Particle Filter2019/07
基于并行Apriori的物流路径频繁模式研究2019/05
Forecast Of Logistics Demand Based On Grey Deep Neural Network Model2018/11
Path Planning for Multi-robot Systems in Intelligent Warehouse2018/10
Review of Swarm Intelligence Algorithms for Multi-objective Flowshop Scheduling2018/10
An Online Adaptive Sampling Rate Learning Framework for Sensor-Based Human Activity Recognition2018/10
Industrial Internet of Things: A Swarm Coordination Framework for Human-in-the-Loop2018/10
A Sensor-Based Human Activity Recognition System via Restricted Boltzmann Machine and Extended Space Forest2018/07
区块链技术在新型网络购物平台设计中的应用2018/07
A User-Adaptive Algorithm for Activity Recognition Based on K-Means Clustering, Local Outlier Factor, and Multivariate Gaussian Distribution2018/06
Weighted Patches Based Face Super-Resolution Via Adaboost2018/06
Optimizing multi-sensor deployment via ensemble pruning for wearable activity recognition2018/05
Market impact analysis via deep learned architectures2018/05
Activity Level Assessment Using a Smart Cushion for People with a Sedentary Lifestyle2017/10
基于蓝牙通信的智能饮水机设计2017/07
我国道路客运服务综述2017/03
Sentimental feature based collaborative filtering recommendation2017/03
Cloud-Based Wheelchair Assist System for Mobility Impaired Individuals2016/09
Detecting Novel Class for Sensor-Based Activity Recognition Using Reject Rule2016/09
A two-stage cross-domain recommendation for cold start problem in cyber-physical systems2015/12
Class-specific soft voting based multiple extreme learning machines ensemble2015/02
AN indicator-based selection multi-objective evolutionary algorithm with preference for multi-class ensemble2015/01
Sentimental Preference Extraction from Online Reviews for Recommendation2015/01
A Fatigue Detect System Based on Activity Recognition2014/09
HEp-2 cell pattern classification with discriminative dictionary learning2014/07
Empirical analysis: stock market prediction via extreme learning machine2014/02
Particle swarm optimization based on intermediate disturbance strategy algorithm and its application in multi-threshold image segmentation2013/11
A vector-valued support vector machine model for multiclass problem2013/06
A weighted voting method using minimum square error based on Extreme Learning Machine2012/12
Multi-objective differential evolution with self-navigation2012/12
A noise-detection based AdaBoost algorithm for mislabeled data2012/12
Achieving balance between proximity and diversity in multi-objective evolutionary algorithm2012/01
Combining interpretable fuzzy rule-based classifiers via multi-objective hierarchical evolutionary algorithm2011/11

专利
一种双盛器组合传送水草装置
2018/11-2018/11
专利号：ZL201811310834.7
发明人：曹菁菁；殷菲；朱天一；候俊豪；罗坤；卢必伟；陈卓
类型：发明专利
状态：已授权
   了解更多   
 
水草清理装置
2018/05-2018/05
专利号：ZL 2018 2 0833737.5
发明人：曹菁菁;殷菲;朱天一;侯俊豪;罗坤;卢必伟
类型：实用新型
状态：已授权
   了解更多   
 
基于HC05蓝牙模块和51单片机的手机
2017/11-2017/11
专利号：ZL 2017 2 1607679.6
发明人：曹菁菁；曾绍坤；陈书辉；罗伟康
类型：实用新型
状态：已授权
   了解更多   
 
一种精确识别老年人跌倒的智能家居设备
2017/01-2017/12
发明人：曹菁菁
类型：发明专利
状态：公开实审
   了解更多   
 
发电式公交车把手
2016/04-2016/04
专利号：ZL 2016 1 0259486.X
发明人：曹菁菁;万立成
类型：发明专利
状态：已授权
   了解更多   
 
节水型城市垃圾桶自动清洗装置
2015/11-2015/11
发明人：曹菁菁;万立成;史田星;周全;王景石
状态：已授权
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基于条码与射频识别电子标签的自动分拣装置
2015/11-2015/11
发明人：于蒙;李青夏;李松;曹小华;王强;曹菁菁
状态：已授权
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软著
计算机视觉检测识别控制软件
2023/05-
计算机视觉检测识别控制软件
软著号：2022SR0650418
完成人：郭兴，孙帅亚，曹菁菁
状态：已授权
   了解更多   
 
自动化集装箱码头ART管理系统V1.0
2023/05-
自动化集装箱码头ART管理系统V1.0
软著号：2023SR0088699
完成人：郭兴，黄雅文，曹菁菁，陈洋龙
状态：已授权
   了解更多   
 
母婴网购系统V1.0
2022/12-2022/12
母婴网购系统V1.0
软著号：2022SR0922002
完成人：曹菁菁，黄雅文，陈洋龙
状态：已授权
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辅助安全驾驶应用软件V1.0
2018/10-2018/10
辅助安全驾驶应用软件V1.0
   了解更多   
 

期刊审阅
特别会议联席主席
 2020 International Conference on Neural Computing for Advanced Applications(NCAA’20) 
 The 17th International Conference on Industrial Informatics (IEEE INDIN’19), SS on Efficient Multimedia Sensing and Computing on Industrial Applications. 
 The 5th IEEE Smart World Congress (SWC’ 2019), SS on Inteligent/Smart & Services. 
 2018 International Conference on Machine Learning and Cybernetics (ICMLC’ 2018), SS on OTC2 - Computer Vision. 
项目委员会成员
 2021 International Conference on Neural Computing for Advanced Applications(NCAA’21) 
 2020 International Conference on Neural Computing for Advanced Applications(NCAA’20) 
 The 16th IEEE International Conference on Ubiquitous Intelligence and Computing(UIC’19) 
 The 11th International Conference on Internet and Distributed Computing Systems (IDCS’18) 
 The 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC’18) 
 2018 International Conference on Machine Learning and Cybernetics (ICMLC’18) 
 2015 International Conference on Machine Learning and Cybernetics (ICMLC’15) 
 The 9th International Conference on Internet and Distributed Computing Systems (IDCS’16) 
 The 8th International Conference on Internet and Distributed Computing Systems (IDCS’15) 
期刊审稿人
 IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 
 Information Fusion (IF) 
 IEEE Transactions on Industrial Informatics (TII) 
 Transactions on Intelligent Systems and Technology (TIST) 
 Pattern Recognition (PR) 
 Artificial Intelligence Review (AIR) 
 Neurocomputing (NC) (Outstanding Reviewer) 
 Information Sciences (IS) 
 Expert Systems With Applications (ESWA) 
 Engineering Applications of Artificial Intelligence (EAAI) 
 Advanced Engineering Informatics (ADVEI) 
 Complex & Intelligent Systems (CAIS) 
 International Journal of Machine Learning and Cybernetics (IJMLC) 
 Neural Computing and Applications (NCAA) 
 IEEE Transactions on Consumer Electronics (TCE) 
 Neural Processing Letters (NPL) 
 Pattern Analysis and Applications (PAAA) 
 

研究方向

导师

合作导师

优秀毕业生

AI魔术师

物流系统所

联系方式

bettycao@whut.edu.cn

武汉理工大学（余家头校区）

湖北·武汉

曹菁菁研究团队