Regular biography
JIN Yanrui is a Faculty member in the School of Mechanical Engineering at Shanghai Jiao Tong University. They are affiliated with the Institute of Mechatronics Design and Knowledge-based Engineering. Their research interests and specific contributions are not detailed in the provided information. Further details about their academic background, achievements, and research areas can be found on their profile page.
Scholar-generated biography
Jin Yanrui is a researcher at Shanghai Jiao Tong University specializing in deep learning, ECG diagnosis, and fault diagnosis. Their work focuses on developing advanced neural network models for medical signal processing and mechanical system diagnostics. Key contributions include the use of hybrid deep neural networks for cutterhead torque prediction in shield tunneling machines, attentional residual networks for bearing fault diagnosis, and twin attentional convolutional LSTM networks for atrial fibrillation detection. Jin's research also explores multi-domain modeling, adaptive hierarchical decomposition, and denoising techniques to enhance the accuracy and robustness of ECG signal analysis and fault detection in noisy environments.