Adaptive control arc length-based time grid refinement control parameterisation method for unmanned hypersonic vehicle reentry trajectory optimisation.

[BibT_eX]

[DOI]

Hang Li

Ping Liu

Xinggao Liu

Hailong Huang

Int. J. Control, October, 2023

A novel pipelined end-to-end relation extraction framework with entity mentions and contextual semantic representation.

[BibT_eX]

[DOI]

Expert Syst. Appl., October, 2023

A novel mesh discretization strategy for numerical solution of optimal control problems in aerospace engineering.

[BibT_eX]

[DOI]

J. Frankl. Inst., September, 2023

A novel radar operating mode identification approach based on variational relevance vector machine with chaotic gravitational search optimization.

[BibT_eX]

[DOI]

Trans. Inst. Meas. Control, May, 2023

Modeling Task Relationships in Multivariate Soft Sensor With Balanced Mixture-of-Experts.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, May, 2023

A Novel Time-Domain Graph Tensor Attention Network for Specific Emitter Identification.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

Modeling Task Relationships in Multi-variate Soft Sensor with Balanced Mixture-of-Experts.

[BibT_eX]

[DOI]

CoRR, 2023

TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors.

[BibT_eX]

[DOI]

CoRR, 2023

AttentionMixer: An Accurate and Interpretable Framework for Process Monitoring.

[BibT_eX]

[DOI]

CoRR, 2023

2022

A Novel Aggregated Multipath Extreme Gradient Boosting Approach for Radar Emitter Classification.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

Dynamic multi-swarm differential learning harris hawks optimizer and its application to optimal dispatch problem of cascade hydropower stations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Density Peak Clustering with connectivity estimation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A novel locality-sensitive hashing relational graph matching network for semantic textual similarity measurement.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications.

[BibT_eX]

[DOI]

CoRR, 2022

2021

A novel non-uniform optimal control approach for hypersonic cruise vehicle with waypoint and no-fly zone constraints.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2021

Analytical sensitivity computation using collocation method with non-uniform mesh discretisation for numerical solutions of optimal control problems.

[BibT_eX]

[DOI]

Int. J. Control, 2021

An empirical evaluation of attention-based multi-head models for improved turbofan engine remaining useful life prediction.

[BibT_eX]

[DOI]

CoRR, 2021

Analyze and Design Network Architectures by Recursion Formulas.

[BibT_eX]

[DOI]

CoRR, 2021

A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation.

[BibT_eX]

[DOI]

Ja'afar Sulaiman Zangina

Comput. Chem. Eng., 2021

2020

A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification.

[BibT_eX]

[DOI]

Yihao Lv

Youzhi Gu

Xinggao Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A novel modeling approach and its application in polymer quality index prediction.

[BibT_eX]

[DOI]

Trans. Inst. Meas. Control, 2019

Ship detection based on squeeze excitation skip-connection path networks for optical remote sensing images.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Control variable parameterisation with penalty approach for hypersonic vehicle reentry optimisation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2019

A PSO-LP Cooperative Algorithm for Mixed Integer Nonlinear Programming.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 12th Asian Control Conference, 2019

2018

An effective pseudospectral method for constraint dynamic optimisation problems with characteristic times.

[BibT_eX]

[DOI]

Int. J. Control, 2018

A novel effective diagnosis model based on optimized least squares support machine for gene microarray.

[BibT_eX]

[DOI]

Xinteng Gao

Xinggao Liu

Appl. Soft Comput., 2018

2017

Empirical mode decomposition-based time grid refinement optimization approach for optimal control problems.

[BibT_eX]

[DOI]

Ping Liu

Xinggao Liu

Optim. Lett., 2017

A novel APSO-aided weighted LSSVM method for nonlinear hammerstein system identification.

[BibT_eX]

[DOI]

Liang Ma

Xinggao Liu

J. Frankl. Inst., 2017

A novel fault diagnosis method based on optimal relevance vector machine.

[BibT_eX]

[DOI]

Neurocomputing, 2017

2016

A sparse probabilistic approach with chaotic artificial bee colony optimization for sea clutter soft computing.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2016

2015

Comments on "Optimal Use of Mixed Catalysts for Two Successive Chemical Reactions".

[BibT_eX]

[DOI]

Guodong Li

Xinggao Liu

J. Optim. Theory Appl., 2015

Optimal online soft sensor for product quality monitoring in propylene polymerization process.

[BibT_eX]

[DOI]

Zhong Cheng

Xinggao Liu

Neurocomputing, 2015

2014

A Novel Penalty Approach for Nonlinear Dynamic Optimization Problems With Inequality Path Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

Characterization of chaotic multiscale features on the time series of melt index in industrial propylene polymerization system.

[BibT_eX]

[DOI]

Ting Wang

Xinggao Liu

Zeyin Zhang

J. Frankl. Inst., 2014

Melt index prediction by aggregated RBF neural networks trained with chaotic theory.

[BibT_eX]

[DOI]

Zeyin Zhang

Ting Wang

Xinggao Liu

Neurocomputing, 2014

Melt index prediction by fuzzy functions with dynamic fuzzy neural networks.

[BibT_eX]

[DOI]

Senqi Xu

Xinggao Liu

Neurocomputing, 2014

2013

Melt index prediction using optimized least squares support vector machines based on hybrid particle swarm optimization algorithm.

[BibT_eX]

[DOI]

Huaqin Jiang

Zhengbing Yan

Xinggao Liu

Neurocomputing, 2013

2011

Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm.

[BibT_eX]

[DOI]

Jiubao Li

Xinggao Liu

Neurocomputing, 2011

Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error moving average systems.

[BibT_eX]

[DOI]

Zhening Zhang

Feng Ding

Xinggao Liu

Comput. Math. Appl., 2011

2010

Hierarchical least-squares based iterative identification for multivariable systems with moving average noises.

[BibT_eX]

[DOI]

Math. Comput. Model., 2010

Least squares based iterative identification for a class of multirate systems.

[BibT_eX]

[DOI]

Xinggao Liu

Jing Lu

Autom., 2010

2009

Least-squares based iterative parameter estimation for two-input multirate sampled-data systems.

[BibT_eX]

[DOI]

Jing Lu

Xinggao Liu

Feng Ding

Proceedings of the American Control Conference, 2009

2006

Melt index prediction by neural networks based on independent component analysis and multi-scale analysis.

[BibT_eX]

[DOI]

Jian Shi

Xinggao Liu

Youxian Sun

Neurocomputing, 2006

Product quality prediction by a neural soft-sensor based on MSA and PCA.

[BibT_eX]

[DOI]

Jian Shi

Xinggao Liu

Int. J. Autom. Comput., 2006

Product Quality Prediction with Support Vector Machines.

[BibT_eX]

[DOI]

Xinggao Liu

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.

[BibT_eX]

[DOI]

Xinggao Liu

Zhengbing Yan

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2002

Optimal energy cost in ideal internal thermally coupled distillation columns.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2002

Xinggao Liu

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