Arinez, J., Chang, Q., Gao, R. X., Xu, C. X., & Zhang, J. X.(2020).Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook.Journal of Manufacturing Science and Engineering,142(11).
Xiong, Q., Zhang, J., Wang, P., Liu, D., & Gao, R. X.(2020).Transferable two-stream convolutional neural network for human action recognition.Journal of Manufacturing Systems,56, 605-614.
Grezmak, J., Zhang, J., Wang, P., Loparo, K. A., & Gao, R. X.(2020).Interpretable Convolutional Neural Network through Layer-wise Relevance Propagation for Machine Fault Diagnosis.IEEE Sensors Journal,20(6),3172-3181.
Grezmak, J., Zhang, J., Wang, P., Loparo, K. A., & Gao, R. X.(2020).Interpretable Convolutional Neural Network through Layer-wise Relevance Propagation for Machine Fault Diagnosis.IEEE Sensors Journal,20(6),3172-3181.
Cooper, C., Zhang, J., Gao, R. X., Wang, P. X., & Ragai, I. X.(2020).Anomaly detection in milling tools using acoustic signals and generative adversarial networks.Procedia Manufacturing,48, 372-378.
Grezmak, J., Zhang, J., Wang, P., & Gao, R. X.(2020).Multi-stream convolutional neural network-based fault diagnosis for variable frequency drives in sustainable manufacturing systems.Procedia Manufacturing,43, 511-518.
Zhang, J., Wang, P., & Gao, R. X.(2020).Attention Mechanism-Incorporated Deep Learning for AM Part Quality Prediction.Procedia CIRP,93, 96-101.
Zhang, J., Liu, H., Chang, Q., Wang, L., & Gao, R. X.(2020).Recurrent neural network for motion trajectory prediction in human-robot collaborative assembly.CIRP Annals - Manufacturing Technology,69(1),9-12.
Cooper, C., Wang, P., Zhang, J., Gao, R. X., Roney, T. X., Ragai, I. X., & Shaffer, D. X.(2020).Convolutional neural network-based tool condition monitoring in vertical milling operations using acoustic signals.Procedia Manufacturing,49, 105-111.
Zhang, J., Wang, P., & Gao, R. X.(2019).Deep learning-based tensile strength prediction in fused deposition modeling.Computers in Industry,107, 11-21.
Caggiano, A., Zhang, J., Alfieri, V., Caiazzo, F., Gao, R. X., & Teti, R. X.(2019).Machine learning-based image processing for on-line defect recognition in additive manufacturing.CIRP Annals - Manufacturing Technology.
Liu, D., Dai, L., Lin, X., Chen, J., Zhang, J., Feng, X., M�llen, K., Zhu, X., & Dai, S.(2019).Chemical Approaches to Carbon-Based Metal-Free Catalysts.Advanced Materials,31(13).
Zhang, J., Wang, P., Gao, R. X., Sun, C. X., & Yan, R. X.(2019).Induction Motor Condition Monitoring for Sustainable Manufacturing.Procedia Manufacturing,33, 802-809.
Zhang, J., Wang, P., Yan, R., & Gao, R. X.(2018).Long short-term memory for machine remaining life prediction.Journal of Manufacturing Systems.
Zhang, J., Wang, P., Yan, R., & Gao, R. X.(2018).Deep Learning for Improved System Remaining Life Prediction.Procedia CIRP,72, 1033-1038.
Zhang, J., Wang, P., Gao, R. X., & Yan, R. X.(2018).An Image Processing Approach to Machine Fault Diagnosis Based on Visual Words Representation.Procedia Manufacturing,19, 42-49.
