Journal Publications

• [1]Multimodal data-driven reinforcement learning for operational decision-making in industrial processes.IEEE/CAA Journal of Automatica Sinica, 2023, doi: 10.1109/JAS.2023.123741
• [2]Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling.Advanced Engineering Informatics. 2022, 52: 101590
• [3]Imputation of missing values in time series using an adaptive-learned median-filled deep autoencoder.IEEE Transactions on Cybernetics, 2023, 53(2): 695-706
• [4]Multiscale feature fusion and semi-supervised temporal-spatial learning for performance monitoring in the flotation industrial process.IEEE Transactions on Cybernetics, 2023, doi: 10.1109/TCYB.2023.3295852
• [5]Semi-supervised deep embedded clustering with pairwise constraints and subset allocation.Neural Networks, 2023, 164: 310-322
• [6]WH Gui, DG Xu, CH Yang, YL Wang, XL Wang.Hybrid modelling of an industrial grinding-classification process.Powder Technology 2015,(279):75-85
• [7]et al, XF Chen, DD Chen, YL Wang.Dynamic adaptive ANP algorithm and its application to electric field simulation of Aluminum Reduction Cell.Journal of Central South University of Technology, 2015,22 (12) : 4731-4739.
• [8]et al, YL Wang, WH Gui, B Sun.A gradient optimization scheme for solution purification process.Control Engineering Practice, 2015,44: 89-103
• [9]YF Xie, CH Yang, XJ Zhou, HM He, YL Wang.Optimization of both operating costs and energy consumption in alumina evaporation process by multi-objective state transition algorithm.Canadian Journal of Chemical Engineering, 2016, 94 (1) : 53-65.
• [10]HW Zhang, CH Yang, YL Wang, Song ZH, ZQ Ge, XF Yuan.Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.IEEE Transactions on Instrumentation & Measurement, 2017,66 (4) : 837-845.
• [11]LJ Ye, WH Gui, Yang CH, YL Wang, XF Yuan.Probabilistic density-based regression model for soft sensing of nonlinear industrial processes.Journal of Process Control, 2017, 57: 15-25
• [12]et al, Yang CH, YL Wang, XF Yuan.Weighted linear dynamic system for feature representation and soft sensor application in nonlinear dynamic industrial processes[J].IEEE Transactions on Industrial Electronics, 2018,, 65 (2) : 1508-1517.
• [13]et al, XF Yuan, HB Xia, YL Wang.Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion[J].Multimedia Tools and Applications, 2018,77(13): 16741-16770.
• [14]et al, YL Wang, ZY Zhang, XG Liu, P Liu.Production optimization for concentration and volume-limited fed-batch reactors in biochemical processes[J].Bioprocess and Biosystems Engineering, 2018,41(3): 407-422.
• [15]et al, YL Wang, XG Liu, SM He.An effective fault diagnosis approach based on optimal weighted least squares support vector machine[J].Canadian J. of Chemical Engineering, 2017,95(12): 2357–2366.
• [16]et al, YL Wang, L Xiao, SM He.A novel fault diagnosis method based on optimal Relevance Vector Machine[J].Neurocomputing, 2017,267: 651-663
• [17]et al, XG Liu, YL Wang, YM Sun.A novel Bayesian inference soft sensor for real-time statistic learning modeling for industrial polypropylene melt index prediction[J].Journal of Applied Polymer Science, 2017，134（40）
• [18]YL Wang, LH Wang; W Fei.Coplanar-Electrodes-Based Differential Structure for Piezoresistive Sensor Made of Carbon Nanotube Filled Silicone Rubber Composite[J].IEEE SENSORS JOURNAL, 2018,18(4): 1403-1409
• [19]et al., B Sun, YL Wang.Sulfur flotation performance recognition based on hierarchical classification of local dynamic and static froth features[J].IEEE Access , 2018 , 6 (99) :14019 -14029
• [20]CH Yang, YL Wang, J Zhou, XF Yuan.Multi-similarity measurement driven ensemble just-in-time learning for soft sensing of industrial processes[J].Journal of Chemometrics, 2018, doi.org/10.1002/cem