Xiaohui Liu

According to our database1, Xiaohui Liu authored at least 160 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer.
IEEE Trans. Cybern., 2021

A novel randomised particle swarm optimizer.
Int. J. Mach. Learn. Cybern., 2021

Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip.
Neurocomputing, 2021

An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients.
Neurocomputing, 2021

A review on transfer learning in EEG signal analysis.
Neurocomputing, 2021

Set-Membership Filtering Subject to Impulsive Measurement Outliers: A Recursive Algorithm.
IEEE CAA J. Autom. Sinica, 2021

2020
Robust Finite-Horizon Filtering for 2-D Systems With Randomly Varying Sensor Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Event-Triggered Recursive Filtering for Shift-Varying Linear Repetitive Processes.
IEEE Trans. Cybern., 2020

A Collaborative-Filtering-Based Data Collection Strategy for Friedreich's Ataxia.
Cogn. Comput., 2020

Recursive state estimation for two-dimensional shift-varying systems with random parameter perturbation and dynamical bias.
Autom., 2020

Recursive distributed filtering for two-dimensional shift-varying systems over sensor networks under stochastic communication protocols.
Autom., 2020

2019
$H_{\infty}$ State Estimation for Discrete-Time Nonlinear Singularly Perturbed Complex Networks Under the Round-Robin Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments.
IEEE Trans. Evol. Comput., 2019

Resilient State Estimation for 2-D Time-Varying Systems With Redundant Channels: A Variance-Constrained Approach.
IEEE Trans. Cybern., 2019

Minimum-Variance Recursive Filtering for Two-Dimensional Systems With Degraded Measurements: Boundedness and Monotonicity.
IEEE Trans. Autom. Control., 2019

Automatic Annotation of Retinal Layers in Optical Coherence Tomography Images.
J. Medical Syst., 2019

Retinal Layer Segmentation in Optical Coherence Tomography Images.
IEEE Access, 2019

A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Level Set Segmentation of Retinal OCT Images.
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Simultaneous Segmentation of Retinal OCT Images Using Level Set.
Proceedings of the Biomedical Engineering Systems and Technologies, 2019

2018
Event-Triggered H<sub>∞</sub> State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Variance-Constrained Approach to Recursive Filtering for Nonlinear 2-D Systems With Measurement Degradations.
IEEE Trans. Cybern., 2018

Resilient Filtering for Linear Time-Varying Repetitive Processes Under Uniform Quantizations and Round-Robin Protocols.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Event-based input and state estimation for linear discrete time-varying systems.
Int. J. Control, 2018

Robust Kalman filtering for two-dimensional systems with multiplicative noises and measurement degradations: The finite-horizon case.
Autom., 2018

State estimation under false data injection attacks: Security analysis and system protection.
Autom., 2018

Graph-Cut Segmentation of Retinal Layers from OCT Images.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

Min-Cut Segmentation of Retinal OCT Images.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018

2017
State Estimation for Discrete-Time Dynamical Networks With Time-Varying Delays and Stochastic Disturbances Under the Round-Robin Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2017

A survey of deep neural network architectures and their applications.
Neurocomputing, 2017

Detecting Non-lambertian Materials in Video.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features.
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

Recursive filtering for two-dimensional systems with missing measurements subject to uncertain probabilities.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

A clustering approach to triage categorization in A&E departments.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

Lesion Segmentation in Dermoscopy Images Using Particle Swarm Optimization and Markov Random Field.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Retinal OCT Image Segmentation Using Fuzzy Histogram Hyperbolization and Continuous Max-Flow.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
Dynamic State Estimation of Power Systems With Quantization Effects: A Recursive Filter Approach.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements.
IEEE Trans. Control. Syst. Technol., 2016

Robust filtering for a class of nonlinear stochastic systems with probability constraints.
Autom. Remote. Control., 2016

H∞ state estimation for time-varying networks with probabilistic delay in measurements.
Proceedings of the 22nd International Conference on Automation and Computing, 2016

2015
Event-Triggered State Estimation for Complex Networks With Mixed Time Delays via Sampled Data Information: The Continuous-Time Case.
IEEE Trans. Cybern., 2015

An Integrated Approach to Global Synchronization and State Estimation for Nonlinear Singularly Perturbed Complex Networks.
IEEE Trans. Cybern., 2015

H∞ control for 2-D time-delay systems with randomly occurring nonlinearities under sensor saturation and missing measurements.
J. Frankl. Inst., 2015

H<sub>∞</sub> state estimation for discrete-time delayed neural networks with randomly occurring quantizations and missing measurements.
Neurocomputing, 2015

Segmentation of Intra-retinal Layers in 3D Optic Nerve Head Images.
Proceedings of the Image and Graphics - 8th International Conference, 2015

Automated Layer Segmentation of 3D Macular Images Using Hybrid Methods.
Proceedings of the Image and Graphics - 8th International Conference, 2015

2014
Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach.
IEEE Trans. Medical Imaging, 2014

Segmentation of the Blood Vessels and Optic Disk in Retinal Images.
IEEE J. Biomed. Health Informatics, 2014

Robust state estimation for two-dimensional stochastic time-delay systems with missing measurements and sensor saturation.
Multidimens. Syst. Signal Process., 2014

cDNA microarray adaptive segmentation.
Neurocomputing, 2014

Retinal blood vessels extraction using probabilistic modelling.
Health Inf. Sci. Syst., 2014

2013
Modeling Throughput of Emergency Departments via Time Series: An Expectation Maximization Algorithm.
ACM Trans. Manag. Inf. Syst., 2013

Synchronization of Coupled Neutral-Type Neural Networks With Jumping-Mode-Dependent Discrete and Unbounded Distributed Delays.
IEEE Trans. Cybern., 2013

Time Series Modeling of Nano-Gold Immunochromatographic Assay via Expectation Maximization Algorithm.
IEEE Trans. Biomed. Eng., 2013

Effects-based feature identification for network intrusion detection.
Neurocomputing, 2013

A novel neural network approach to cDNA microarray image segmentation.
Comput. Methods Programs Biomed., 2013

A constrained optimization approach to dynamic state estimation for power systems including PMU measurements.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

Segmentation of Retinal Blood Vessels Using Gaussian Mixture Models and Expectation Maximisation.
Proceedings of the Health Information Science - Second International Conference, 2013

2012
Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time delays.
ACM Trans. Sens. Networks, 2012

Robust Synchronization for 2-D Discrete-Time Coupled Dynamical Networks.
IEEE Trans. Neural Networks Learn. Syst., 2012

A Hybrid EKF and Switching PSO Algorithm for Joint State and Parameter Estimation of Lateral Flow Immunoassay Models.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Sampled-Data Synchronization Control of Dynamical Networks With Stochastic Sampling.
IEEE Trans. Autom. Control., 2012

State Estimation for Discrete-Time Neural Networks with Markov-Mode-Dependent Lower and Upper Bounds on the Distributed Delays.
Neural Process. Lett., 2012

Stability analysis for a class of neutral-type neural networks with Markovian jumping parameters and mode-dependent mixed delays.
Neurocomputing, 2012

Mammogram retrieval on similar mass lesions.
Comput. Methods Programs Biomed., 2012

H<sub>∞</sub> filtering with randomly occurring sensor saturations and missing measurements.
Autom., 2012

An Association Rule Analysis Framework for Complex Physiological and Genetic Data.
Proceedings of the Health Information Science - First International Conference, 2012

2011
Bounded H<sub>infty</sub> Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon.
IEEE Trans. Neural Networks, 2011

Distributed State Estimation for Discrete-Time Sensor Networks With Randomly Varying Nonlinearities and Missing Measurements.
IEEE Trans. Neural Networks, 2011

Cellular Neural Networks, the Navier-Stokes Equation, and Microarray Image Reconstruction.
IEEE Trans. Image Process., 2011

A Stochastic Sampled-Data Approach to Distributed H<sub>infty </sub> Filtering in Sensor Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2011

Inference of Nonlinear State-Space Models for Sandwich-Type Lateral Flow Immunoassay Using Extended Kalman Filtering.
IEEE Trans. Biomed. Eng., 2011

Mining students' learning patterns and performance in Web-based instruction: a cognitive style approach.
Interact. Learn. Environ., 2011

Mining Learning Preferences in Web-based Instruction: Holists vs. Serialists.
J. Educ. Technol. Soc., 2011

Identifying user preferences with Wrapper-based Decision Trees.
Expert Syst. Appl., 2011

Optic disc segmentation by incorporating blood vessel compensation.
Proceedings of the IEEE Third International Workshop On Computational Intelligence In Medical Imaging, 2011

2010
On Passivity and Passification of Stochastic Fuzzy Systems With Delays: The Discrete-Time Case.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Editorial: Data mining for understanding user needs.
ACM Trans. Comput. Hum. Interact., 2010

Robust Class Similarity Measure for Traffic Sign Recognition.
IEEE Trans. Intell. Transp. Syst., 2010

Exponential Stabilization of a Class of Stochastic System With Markovian Jump Parameters and Mode-Dependent Mixed Time-Delays.
IEEE Trans. Autom. Control., 2010

Real-time traffic sign recognition from video by class-specific discriminative features.
Pattern Recognit., 2010

Cognitive styles and search engine preferences: Field dependence/independence vs holism/serialism.
J. Documentation, 2010

Robust passivity and passification of stochastic fuzzy time-delay systems.
Inf. Sci., 2010

Robust state estimation for discrete-time stochastic neural networks with probabilistic measurement delays.
Neurocomputing, 2010

A multi-view approach to cDNA micro-array analysis.
Int. J. Comput. Biol. Drug Des., 2010

A note on control of a class of discrete-time stochastic systems with distributed delays and nonlinear disturbances.
Autom., 2010

Retinal blood vessel segmentation via graph cut.
Proceedings of the 11th International Conference on Control, 2010

2009
On Synchronization of Coupled Delayed Neural Networks.
Proceedings of the Recent Advances in Nonlinear Dynamics and Synchronization: Theory and Applications, 2009

Decision Tree Applications for Data Modelling.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays.
IEEE Trans. Neural Networks, 2009

State Estimation for Coupled Uncertain Stochastic Networks With Missing Measurements and Time-Varying Delays: The Discrete-Time Case.
IEEE Trans. Neural Networks, 2009

An Extended Kalman Filtering Approach to Modeling Nonlinear Dynamic Gene Regulatory Networks via Short Gene Expression Time Series.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009

Robust Filtering With Randomly Varying Sensor Delay: The Finite-Horizon Case.
IEEE Trans. Circuits Syst. I Regul. Pap., 2009

Evaluation of the credibility of internet shopping in the UK.
Online Inf. Rev., 2009

On Global Stability of Delayed BAM Stochastic Neural Networks with Markovian Switching.
Neural Process. Lett., 2009

State estimation for jumping recurrent neural networks with discrete and distributed delays.
Neural Networks, 2009

Asymptotic stability for neural networks with mixed time-delays: The discrete-time case.
Neural Networks, 2009

Investigation of users' preferences in interactive multimedia learning systems: a data mining approach.
Interact. Learn. Environ., 2009

Global Synchronization in an Array of Discrete-Time Neural Networks with Nonlinear Coupling and Time-Varying Delays.
Int. J. Neural Syst., 2009

Evaluation of a personalized digital library based on cognitive styles: Adaptivity vs. adaptability.
Int. J. Inf. Manag., 2009

Mining students' behavior in web-based learning programs.
Expert Syst. Appl., 2009

Robust H<sub>∞</sub> control for a class of nonlinear discrete time-delay stochastic systems with missing measurements.
Autom., 2009

Cognitive styles and Web-based Instruction: Field Dependent/Independent vs. Holist/Serialist.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Global Synchronization Control of General Delayed Discrete-Time Networks With Stochastic Coupling and Disturbances.
IEEE Trans. Syst. Man Cybern. Part B, 2008

An Integrated Approach for Modeling Learning Patterns of Students in Web-Based Instruction: A Cognitive Style Perspective.
ACM Trans. Comput. Hum. Interact., 2008

Filtering for Nonlinear Genetic Regulatory Networks With Stochastic Disturbances.
IEEE Trans. Autom. Control., 2008

Robust Error Square Constrained Filter Design for Systems With Non-Gaussian Noises.
IEEE Signal Process. Lett., 2008

Can graph-cutting improve microarray gene expression reconstructions?
Pattern Recognit. Lett., 2008

MaXlab: A Novel Application for the Cross Comparison and Integration of Biological Signatures from Microarray Studies.
Silico Biol., 2008

Robust stability of discrete-time stochastic neural networks with time-varying delays.
Neurocomputing, 2008

Investigation of behavior and perception of digital library users: A cognitive style perspective.
Int. J. Inf. Manag., 2008

Investigation of the Use of Navigation Tools in Web-Based Learning: A Data Mining Approach.
Int. J. Hum. Comput. Interact., 2008

Combining multiple classifiers for wrapper feature selection.
Int. J. Data Min. Model. Manag., 2008

On synchronization of coupled neural networks with discrete and unbounded distributed delays.
Int. J. Comput. Math., 2008

H<sub>∞</sub> filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities.
Autom., 2008

Detection, Tracking and Recognition of Traffic Signs from Video Input.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

Robust Variance Constrained Filter Design for Systems with Non-Gaussian Noises.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

The Influences of Number and Nature of Classifiers on Consensus Feature Selection.
Proceedings of The 2008 International Conference on Data Mining, 2008

2007
The role of human factors in stereotyping behavior and perception of digital library users: a robust clustering approach.
User Model. User Adapt. Interact., 2007

Robust H<sub>infty</sub> Control for Networked Systems With Random Packet Losses.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Designing Customised gene Expression Arrays Based on Specific Biological Questions or Functions.
Trans. SDPS, 2007

CIDA: An integrated software for the design, characterisation and global comparison of microarrays.
J. Integr. Bioinform., 2007

Automatic cognitive style identification of digital library users for personalization.
J. Assoc. Inf. Sci. Technol., 2007

Robust filtering for gene expression time series data with variance constraints.
Int. J. Comput. Math., 2007

Microarray subgrid detection: a novel algorithm.
Int. J. Comput. Math., 2007

Traffic Sign Recognition Using Discriminative Local Features.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Mining Learners' Behavior in Accessing Web-Based Interface.
Proceedings of the Technologies for E-Learning and Digital Entertainment, 2007

Towards Real-Time Traffic Sign Recognition by Class-Specific Discriminative Features.
Proceedings of the British Machine Vision Conference 2007, 2007

2006
Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements.
IEEE Trans. Signal Process., 2006

Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays.
IEEE Trans. Neural Networks, 2006

Robust H<sub>2</sub> filtering for a class of systems with stochastic nonlinearities.
IEEE Trans. Circuits Syst. II Express Briefs, 2006

Global exponential stability of generalized recurrent neural networks with discrete and distributed delays.
Neural Networks, 2006

Analysing Microarray Data using the Multi-functional Immune Ontologiser.
J. Integr. Bioinform., 2006

On global exponential stability of generalized stochastic neural networks with mixed time-delays.
Neurocomputing, 2006

On designing robust controllers under randomly varying sensor delay with variance constraints.
Int. J. Gen. Syst., 2006

Mining User Preferences of Multimedia Interfaces with K-modes.
Proceedings of the IEEE International Conference on Systems, 2006

Application of Bioinformatics in the Design of Gene Expression Microarrays.
Proceedings of the Leveraging Applications of Formal Methods, 2006

2005
Variance-Constrained Control for Uncertain Stochastic Systems With Missing Measurements.
IEEE Trans. Syst. Man Cybern. Part A, 2005

State estimation for delayed neural networks.
IEEE Trans. Neural Networks, 2005

Robust finite-horizon filtering for stochastic systems with missing measurements.
IEEE Signal Process. Lett., 2005

Reliable stabilization of stochastic time-delay systems with nonlinear disturbances.
Int. J. Gen. Syst., 2005

Data mining from 1994 to 2004: an application-orientated review.
Int. J. Bus. Intell. Data Min., 2005

Pyramidic Clustering of Large-Scale Microarray Images.
Comput. J., 2005

Grouping Users' Communities in an Interactive Web-Based Learning System: A Data Mining Approach.
Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005

Data Mining in Practice.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

2004
A note on the robust stability of uncertain stochastic fuzzy systems with time-delays.
IEEE Trans. Syst. Man Cybern. Part A, 2004

Exponential filtering for uncertain Markovian jump time-delay systems with nonlinear disturbances.
IEEE Trans. Circuits Syst. II Express Briefs, 2004

Robust filtering under randomly varying sensor delay with variance constraints.
IEEE Trans. Circuits Syst. II Express Briefs, 2004

Robust filtering for discrete-time Markovian jump delay systems.
IEEE Signal Process. Lett., 2004

The contribution of data mining to information science.
J. Inf. Sci., 2004

Quality Processing of Microarray Image Data through Image Inpainting and Texture Synthesis.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Robust filtering for systems with stochastic nonlinearities and deterministic uncertainties.
Proceedings of the 8th International Conference on Control, 2004

"Copasetic analysis": automated analysis of biological gene expression images.
Proceedings of the 8th International Conference on Control, 2004

"Copasetic Clustering": Making Sense of Large-Scale Images.
Proceedings of the Data Mining and Knowledge Management, 2004

2003
Nonlinear filtering for state delayed systems with Markovian switching.
IEEE Trans. Signal Process., 2003

Variance-constrained filtering for uncertain stochastic systems with missing measurements.
IEEE Trans. Autom. Control., 2003

Obtaining Quality Microarray Data via Image Reconstruction.
Proceedings of the Advances in Intelligent Data Analysis V, 2003


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