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

C. Lork*, W. Li, Y. Qin, and et al. An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management. Applied Energy. vol. 276, pp. 1-12, 2020.

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

D. Xu, Y. Qin, H. Zhang*, L. Yu, and H. Wang, Set-valued Kalman filtering: event triggered communication with quantized measurements. Peer-to-Peer Networking and Applications. vol. 12, no. 3, pp. 677-688, 2019.

Y. Qin, C. Zhao*. Comprehensive process decomposition for closed-loop process monitoring with quality-relevant slow feature analysis. Journal of Process Control. vol. 77, pp. 141-154, 2019.

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

Y. Qin, C. Zhao*, S. Zhang, and F. Gao. Multimode and multiphase batch process understanding and monitoring based on between-mode similarity evaluation and multimode discriminative information analysis. Industrial Engineering Chemical Research. vol. 56, no. 34, pp. 9679-9690, 2017.

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

Y. Qin, C. Zhao*, and F. Gao. An iterative two-step sequential phase partition (ITSPP) method for batch process modelling and online monitoring. AIChE Journal. vol. 62, no. 7, pp. 2358-2373, 2016.

C. Zhao*, W. Wang, Y. Qin, and F. Gao. Comprehensive subspace decomposition with analysis of between mode relative changes for multimode process monitoring. Industrial Engineering Chemistry Research. vol. 54, pp. 3154-3166, 2015.