锂离子电池健康管理（Battery health management ）

1. K.Q. Zhou, Y. Qin*, and C. Yuen*. Lithium-ion battery online knee onset detection by matrix profile. IEEE Transactions on Transportation Electrification. Early Access, 2023.

2. Y. Qin, A. Auran, C. Yuen*. Digital twin for real-time Li-ion battery state of health estimation with partially discharged cycling data. IEEE Transaction on Information Informatics. (Accepted). 2023

3. Y. Qin, C. Yuen*, X. Yin, H. Biao. A transferable multi-stage model with cycling discrepancy learning for Lithium-ion battery state of health estimation. IEEE Transaction on Information Informatics. In press, 2022, DOI: 10.1109/TII.2022.3205942.

4.  K.Q. Zhou, Y. Qin*, and C. Yuen. Transfer learning-based state of health estimation for Lithium-ion battery with cycle synchronization. IEEE/ASME Transactions on Mechatronics, In press, 2022, DOI: 10.1109/TMECH.2022.3201010.

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

6. X. Zhang, Y. Qin*, C. Yuen, L. Jayasinghe, and X. Liu. Time-series regeneration with convolutional recurrent generative adversarial network for remaining useful life estimation. IEEE Transaction on Information Informatics. vol. 17, no. 10, pp. 6820-6831, 2021.

工业互联网加持的设备健康预测（Industrial Internet of Things for Progonostics）

1. Y. Qin, Yuen Chau*, Yongliang Guan. Capsule neural network enabled vehicle trajectory prediction in the V2X network. IEEE Transaction on Vehicular Technology. Early Access, 2023.

2. Y. Qin, C. Yuen*, 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, Jan. 2023.

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

机理与数据驱动的过程监测与预测（Process Monitoring and Soft-sensor for Industrial Processes）

1. Y. Qin, X. Yin*. Start-up monitoring for intermittent manufacturing based on hierarchical stationarity analysis. Chemical Engineering Research and Design, Accepted, 2022.

2. B. Qin, Z.X. Li, Y. Qin*. A transient feature learning-based intelligent fault diagnosis method for planetary gearbox. Strojniški vestnik-Journal of mechanical engineering. 2020. vol. 66, no. 6, pp. 385-394.

3. Y. Qin, C.H. Zhao. A comprehensive process decomposition based on quality-relevant slow feature regression for soft sensor modelling. Journal of Process Control. 2019. 77: 141-154.

4. Y. Qin, C.H. Zhao, B. Huang. A new soft-sensor algorithm with concurrent consideration of slowness and quality interpretation for dynamic process. Chemical Engineering Science. 2019. 199: 28-39.

5. Y. Qin, C.H. Zhao, F.R. Gao. An intelligent non-optimality self-recovery method based on reinforcement learning with small data in big data era. Chemometrics and Intelligent Laboratory Systems. 2018. 176: 89-100.

6. Y. Qin, C.H. Zhao, S.M. Zhang, F.R. Gao. Multimode and multiphase batch process understanding and monitoring based on between-mode similarity evaluation and multimode discriminative information analysis. Industrial Engineering Chemical Research. 2017. 56(34): 9679-9690.

7. Y. Qin, C.H. Zhao, X.Z. Wang, F.R. Gao. Subspace decomposition and critical phase selection based cumulative quality analysis for multiphase batch processes. Chemical Engineering Science. 2017. 166: 130-143.

8. Y. Qin, C.H. Zhao, F.R. Gao. An iterative two-step sequential phase partition (ITSPP) method for batch process modelling and online monitoring. AIChE Journal. 2016. 62(7): 2358-2373.

9. B. Qin, L.Y. Zhang, Y. Heng, Y. Qin*. Multiple feature vectors-based fault classification for WSN integrated bearing of rolling mill. Journal of Control Science and Engineering (ESCI). 2018: 1-11.

10. 秦岩, 代伟, 杨杰, 周平. 基于软PLC技术的磨矿运行控制仿真系统的设计与实现. 东北大学学报. 2015. 36(3): 309-313.