硕士生导师
所在单位:电子商务系
学历:研究生(博士)毕业
办公地点:管理学院新楼1101
性别:男
学位:博士学位
在职信息:在职
毕业院校:合肥工业大学
学科:管理科学与工程其他专业
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Zhangjun Wu,Renli Xu,Yuansheng Luo,Haidong Shao,A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples:Reliability Engineering & System Safety,2024,250):110297.
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Zhangjun Wu,Gang Fang,Yifei Wang,Renli Xu,An End-to-end Deep Clustering Method with Consistency and Complementarity Attention Mechanism for Multisensor Fault Diagnosis:Applied Soft Computing,2024(158):111594.
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Meiao Wang,Xingxing Wang,Zhangjun Wu,Fusing global features and local information for COVID-19 detection with X-ray images.[J:Signal, Image and Video Processing,2024,18(3):2643-2657.
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Gang Wang,Yanmei Li,Yifei Wang,Mingfeng Lu,Zhangjun Wu,Bidirectional shrinkage gated recurrent unit network with multiscale attention mechanism for multisensor fault diagnosis:IEEE Sensors Journal,2023,23(20):25518 - 25533.
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Gang Wang,Yanan Zhang,Feng Zhang,Zhangjun Wu,An Ensemble Method with DenseNet and Evidential Reasoning Rule for Machinery Fault Diagnosis under Imbalanced Condition.[J:Measurement,2023
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Gang Wang,Yanan Zhang,Mingfeng Lu,Zhangjun Wu,Hierarchical Graph Neural Network with Adaptive Cross-Graph Fusion for Remaining Useful Life Prediction:Meas. Sci. Technol.,2023
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Gang Wang,Hui Li,Feng Zhang,Zhangjun Wu,Feature Fusion based Ensemble Method for remaining useful life prediction of machinery.:Appl. Soft Comput.,2022,129):109604.
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Xiaoyu Yao,Hegong Zhu,Zhangjun Wu,Wei Chu,Gang Wang,Triple Attention-based deep convolutional recurrent network for soft sensors:Measurement,2022,202):111897.
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Renzhi Gao,Hegong Zhu,Zhangjun Wu,Gang Wang,A denoising and multiscale residual deep network for soft sensor modeling of industrial processes:Meas. Sci. Technol.,2022,32):105117.
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Peng Peng,Zhiwei Ni,Zhangjun Wu,Research on incentive strategy based on service quality in spatial crowdsourcing task allocation.:J. Intell. Fuzzy Syst.,2022,43(5):5551-5566.
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