（1）AI for tilting pad bearings: Smart prediction and efficient optimization of tilting pad journal bearings based on deep learning，Chinese Journal of Mechanical Engineering.
（2）Physics-informed neural network for solving the coupled Reynolds–energy equations with viscosity–temperature effects in hydrodynamic journal bearings, , Physics of Fluids
（3）A deep learning based method for identifying product manufacturing information in engineering drawings, Journal of Intelligent Manufacturing
（4）Self-supervised representation of non-standard mechanical parts and fine-tuning method integrating macro process knowledge, Computer-Aided Design,
（5）Classification of non-standard mechanical parts with graph convolutional networks, Engineering Applications of Artificial Intelligence.
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