Xinggao Liu
Orcid: 0000-0002-0948-1942
According to our database1,
Xinggao Liu
authored at least 56 papers
between 2002 and 2024.
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Bibliography
2024
Expert Syst. Appl., March, 2024
Expert Syst. Appl., March, 2024
IEEE Trans. Instrum. Meas., 2024
Bidirectional Stackable Recurrent Generative Adversarial Imputation Network for Specific Emitter Missing Data Imputation.
IEEE Trans. Inf. Forensics Secur., 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Adaptive control arc length-based time grid refinement control parameterisation method for unmanned hypersonic vehicle reentry trajectory optimisation.
Int. J. Control, October, 2023
A novel pipelined end-to-end relation extraction framework with entity mentions and contextual semantic representation.
Expert Syst. Appl., October, 2023
A novel mesh discretization strategy for numerical solution of optimal control problems in aerospace engineering.
J. Frankl. Inst., September, 2023
A novel radar operating mode identification approach based on variational relevance vector machine with chaotic gravitational search optimization.
Trans. Inst. Meas. Control, May, 2023
Modeling Task Relationships in Multivariate Soft Sensor With Balanced Mixture-of-Experts.
IEEE Trans. Ind. Informatics, May, 2023
A Novel Time-Domain Graph Tensor Attention Network for Specific Emitter Identification.
IEEE Trans. Instrum. Meas., 2023
Modeling Task Relationships in Multi-variate Soft Sensor with Balanced Mixture-of-Experts.
CoRR, 2023
CoRR, 2023
2022
A Novel Aggregated Multipath Extreme Gradient Boosting Approach for Radar Emitter Classification.
IEEE Trans. Ind. Electron., 2022
Dynamic multi-swarm differential learning harris hawks optimizer and its application to optimal dispatch problem of cascade hydropower stations.
Knowl. Based Syst., 2022
A novel locality-sensitive hashing relational graph matching network for semantic textual similarity measurement.
Expert Syst. Appl., 2022
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications.
CoRR, 2022
2021
A novel non-uniform optimal control approach for hypersonic cruise vehicle with waypoint and no-fly zone constraints.
Int. J. Syst. Sci., 2021
Analytical sensitivity computation using collocation method with non-uniform mesh discretisation for numerical solutions of optimal control problems.
Int. J. Control, 2021
An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction.
CoRR, 2021
A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation.
Comput. Chem. Eng., 2021
2020
A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine.
Knowl. Based Syst., 2020
The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Trans. Inst. Meas. Control, 2019
Ship detection based on squeeze excitation skip-connection path networks for optical remote sensing images.
Neurocomputing, 2019
Control variable parameterisation with penalty approach for hypersonic vehicle reentry optimisation.
Int. J. Control, 2019
A robust reliability prediction method using Weighted Least Square Support Vector Machine equipped with Chaos Modified Particle Swarm Optimization and Online Correcting Strategy.
Appl. Soft Comput., 2019
Proceedings of the 12th Asian Control Conference, 2019
Parameter Self-Tuning of SISO Compact-Form Model-Free Adaptive Controller based on Neural Network with System Error Set as Input.
Proceedings of the 12th Asian Control Conference, 2019
2018
An effective pseudospectral method for constraint dynamic optimisation problems with characteristic times.
Int. J. Control, 2018
A novel effective diagnosis model based on optimized least squares support machine for gene microarray.
Appl. Soft Comput., 2018
2017
Empirical mode decomposition-based time grid refinement optimization approach for optimal control problems.
Optim. Lett., 2017
A novel APSO-aided weighted LSSVM method for nonlinear hammerstein system identification.
J. Frankl. Inst., 2017
Neurocomputing, 2017
2016
A sparse probabilistic approach with chaotic artificial bee colony optimization for sea clutter soft computing.
Appl. Soft Comput., 2016
2015
J. Optim. Theory Appl., 2015
Optimal online soft sensor for product quality monitoring in propylene polymerization process.
Neurocomputing, 2015
2014
A Novel Penalty Approach for Nonlinear Dynamic Optimization Problems With Inequality Path Constraints.
IEEE Trans. Autom. Control., 2014
Characterization of chaotic multiscale features on the time series of melt index in industrial propylene polymerization system.
J. Frankl. Inst., 2014
Neurocomputing, 2014
Neurocomputing, 2014
2013
Melt index prediction using optimized least squares support vector machines based on hybrid particle swarm optimization algorithm.
Neurocomputing, 2013
2011
Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm.
Neurocomputing, 2011
Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems.
Comput. Math. Appl., 2011
2010
Hierarchical least-squares based iterative identification for multivariable systems with moving average noises.
Math. Comput. Model., 2010
Autom., 2010
2009
Least-squares based iterative parameter estimation for two-input multirate sampled-data systems.
Proceedings of the American Control Conference, 2009
2006
Melt index prediction by neural networks based on independent component analysis and multi-scale analysis.
Neurocomputing, 2006
Int. J. Autom. Comput., 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Melt Index Predict by Radial Basis Function Network Based on Principal Component Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
2002
Proceedings of the American Control Conference, 2002