- 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.
- 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.
- 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.
- 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.
- 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
- 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
- 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.
- Xiaoyu Yao，Hegong Zhu,Zhangjun Wu,Wei Chu，Gang Wang，Triple Attention-based deep convolutional recurrent network for soft sensors:Measurement,2022,202):111897.
- 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.
- 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.