Journal Publications

• [21]Lu X.J.*, Qin G.F..Integration of Weighted LS-SVM and Manifold Learning for Fuzzy Modeling.,Neurocomputing
• [22]Li H.X., Liu W.B., Ming L., Lu X.J..Probabilistic Regularized Extreme Learning Machine for Robust Modeling of Noise data.,IEEE Transactions on Cybernetics
• [23]Huang M.H., Zhou C., Liu W.B., Lu X.J..Robust Least Squares Support Vector Machine with minimization of mean and variance of modeling error.,IEEE Transactions on Neural Networks and Learning
• [24]Huang M.H., Zou W., Lu X.J..Robust Spatiotemporal LS-SVM Modeling for Nonlinear Distributed Parameter System with Disturbance.,IEEE Trans. on Industrial Electronics
• [25]Huang M.H., Liu C, Yin F., Lu X.J..Online Spatiotemporal Extreme Learning Machine for Complex Time-Varying Distributed Parameter Systems.,IEEE Transactions on Industrial Informatics
• [26]Huang M.H., Zhou C, Liu W, Lu X.J..Probabilistic Weighted Support Vector Machine for Robust Modeling with Application to Hydraulic Actuator.,IEEE Transactions on Industrial Informatics
• [27]Huang M.H., Zou W., Lu X.J..A Novel Spatiotemporal LS-SVM Method for Complex Distributed Parameter Systems with Applications to Curing Thermal Process.,IEEE Transactions on Industrial Informatics
• [28]Li H.X, Lu X.J*., Fan B..Probabilistic Inference based Least Squares Support Vector Machine for Modeling under Noisy Environment,.IEEE Trans. Systems, Man, and Cybernetics: Systems
• [29]Huang M.H, Lu X.J*., Zhou C..Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling.,Neurocomputing
• [30]Lv W.B, Huang M.H, Zhou C., Lu X.J..Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system.,Neurocomputing
• [31]Huang M.H, Liu C., Lu X.J..Online Probabilistic Extreme Learning Machine for Distribution Modeling of Complex Batch Forging Processes.,IEEE Transactions on Industrial Informatics
• [32]？Huang？M.H, ？Zou？W., Lu？X.J..An adaptive modeling method for time-varying distributed parameter processes with curing process applications.,Nonlinear Dynamics
• [33]M.H, Huang, Fan B., Lu X.J..A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process with Multiple Localized Solutions.,IEEE Transactions on Industrial Informatics
• [34]Deng K, Huang M.H., Zou W., Lu X.J..A process/shape-decomposition modeling method for deformation force estimation in complex forging processes.,International Journal of Mechanical Sciences
• [35]Huang M.H, Lu X.J..Two-Level Modeling Based Intelligent Integration Control for Time-Varying Forging Processes.,Industrial and engineering chemistry research
• [36]Huang M.H., Lu X.J..A Novel Multi-level Modeling Method for Complex Forging Processes on Hydraulic Press Machines,.Intern. Journal of Advanced Manufacturing Tech.
• [37]Zou W., Huang M.H., Li Y.B., Lu X.J., Lei J..Approximate-model Based Estimation Method for Dynamic Response of Forging Processes.,CHINESE JOURNAL OF MECHANICAL ENGINEERING
• [38]Huang M.H., Li H.X., Lu X.J..Data-Driven Robust Design for a Curing Oven,.IEEE Trans. on Components, Packaging and Manufactu
• [39]Huang M.H., Li H.X., Lu X.J..Stability and robust design using a sector nonlinearity approach for nonlinear manufacturing systems.,Mechanism and Machine Theory
• [40]Huang M.H., Lu X.J..A KL/Subspace Modeling Method for Integrated Design and Control in Curing Processes.,Industrial and engineering chemistry research