科研成果
论文： 1)Junhua Zheng, Yangxuan Liu, Yi Liu, Beiping Hou, Yuan Yao, Le Zhou. Semi-supervised process data regression and application based on latent factor analysis model. IEEE Transactions on Instrumentation & Measurement, 2023, 72, 2527511. 2)Junhua Zheng, Yingkai Gong, Wei Liu, Le Zhou. Subspace Gaussian process regression model for ensemble nonlinear multivariate spectroscopic calibration. Chemometrics & Intelligent Laboratory Systems, 2022,230, 104673. 3)Junhua Zheng, Yue Liu, Zhiqiang Ge. Dynamic Ensemble Selection based Improved Random forests for Fault Classification in Industrial Processes. IFAC Journal of Systems and Control, 2022, 100189. 4)Junhua Zheng, Jinlin Zhu, Guangjie Chen, Zhihuan Song, Zhiqiang Ge.Dynamic Bayesian Network for Robust Latent variable modeling and Fault Classification. Engineering Applications of Artificial Intelligence, 2020, 89, 103475. 5)Junhua Zheng, Hongjian Wang, Zhihuan Song, Zhiqiang Ge. Ensemble semi-supervised Fisher discriminant analysis model for fault classification in industrial processes. ISA Transactions, 2019, 92, 109-117. 6)Junhua Zheng, Zhihuan Song. Mixture modeling for industrial soft sensor application based on semi-supervised probabilistic PLS. Journal of Process Control, 2019, 84, 46-55. 7)Junhua Zheng, Qiaojun Wen, Zhihuan Song. Recursive Gaussian mixture models for adaptive process monitoring. Industrial & Engineering Chemistry Research, 2019, 58, 6551-6561. 8)Junhua Zheng, Zhihuan Song. Semisupervised learning for probabilistic partial least squares regression model and soft sensor application. Journal of Process Control, 2018, 64, 123-131. 9)Junhua Zheng, Zhihuan Song. Linear subspace PCR model for quality estimation of nonlinear and multimode industrial processes. Industrial & Engineering Chemistry Research, 2017, 56, 6275-6285. 10)Junhua Zheng, Zhihuan Song.Two-level independent component regression model for multivariate spectroscopic calibration. Chemometrics & Intelligent Laboratory Systems, 2016,155, 160-169.
