Y. Qin, Y. L. Guan, and C. Yuen* (IEEE Fellow). Spatiotemporal capsule neural network for vehicle trajectory prediction. IEEE Transactions on Vehicular Technology. (Early Access), pp. 1-11, DOI: 10.1109/TVT.2023.3253695, 2023.

Y. Qin, C. Yuen* (IEEE Fellow), Y.M. Shao, B. Qin, and X. Li. Slow-varying dynamics-assisted temporal capsule network for machinery remaining useful life estimation. IEEE Transaction on Cybernetics. vol. 53, no. 1, pp. 592-606, 2023.

Y. Qin, C. Yuen* (IEEE Fellow), X. Yin, H. Biao (IEEE Fellow). A transferable multi-stage model with cycling discrepancy learning for Lithium-ion battery state of health estimation. IEEE Transactions on Industrial Informatics. vol. 19, no. 2, pp. 1933-1946, 2023.

C. Gamanayake, Y. Qin*, C. Yuen (IEEE Fellow), and et al. A hybrid deep learning model based remaining useful life estimation for reed relay with degradation pattern clustering. IEEE Transactions on Industrial Informatics. (Early Access), pp. 1-13, DOI: 10.1109/TII.2022.3210250, 2022.

Y. Qin*, W. Li, C. Yuen (IEEE Fellow), W. Tushar, and T.K. Saha (IEEE Fellow). IIoT-enabled health monitoring for integrated heat pump system using mixture slow feature analysis. IEEE Transactions on Industrial Informatics. vol. 18, no. 7, pp. 4725-4736, 2022.

Y. Qin, X. Yin*. Start-up monitoring for intermittent manufacturing based on hierarchical stationarity analysis. Chemical Engineering Research and Design. vol. 185, pp. 26-36, 2022.

K.Q. Zhou, Y. Qin*, and C. Yuen (IEEE Fellow). Transfer learning-based state of health estimation for Lithium-ion battery with cycle synchronization. IEEE/ASME Transactions on Mechatronics. (Early Access), pp. 1-11, DOI: 10.1109/TMECH.2022.3201010, 2022.

Y. Qin, A. Auran, C. Yuen* (IEEE Fellow). Digital twin for real-time Li-ion battery state of health estimation with partially discharged cycling data. IEEE Transactions on Industrial Informatics (Early Access), pp. 1-11., DOI: 10.1109/TII.2022.3230698, 2022.

X. Zhang, Y. Qin*, C. Yuen (IEEE Fellow), et al. Time-series regeneration with convolutional recurrent generative adversarial network for remaining useful life estimation. IEEE Transactions on Industrial Informatics. vol. 17, no. 10, pp. 6820-6831, 2021.

Y. Qin*, S. Adams, and C. Yuen (IEEE Fellow). A transfer learning-based state of charge estimation for Lithium-ion battery at varying ambient temperatures. IEEE Transactions on Industrial Informatics. vol. 17, no. 11, pp. 7304-7315, 2021.