Xiaoou Li

Orcid: 0000-0003-3087-7375

According to our database1, Xiaoou Li authored at least 150 papers between 1999 and 2025.

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

Timeline

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Bibliography

2025
A Two-Stage Individual Feedback NSGA-III for Dynamic Many-Objective Flexible Job Shop Scheduling Problem.
IEEE Trans Autom. Sci. Eng., 2025

A Multi-objective transfer learning framework for time series forecasting with Concept Echo State Networks.
Neural Networks, 2025

Data-Driven Multiple ARIMA Through Neural Fusion for Enhanced Wind Power Prediction With Missing Data.
IEEE Access, 2025

2024
Time Series Forecasting with Missing Data Using Generative Adversarial Networks and Bayesian Inference.
Inf., April, 2024

Optimal PD Control Using Conditional GAN and Bayesian Inference.
IEEE Access, 2024

Smartphone-Based Structural Health Monitoring with Neural Network Regression for Damage & Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

2023
Model-Free Optimal Control Based on Reinforcement Learning for Rotary Inverted Pendulum.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Type-2 Fuzzy LSTM for Nonlinear System Modeling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Robot PID Control Using Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Triple-layer attention mechanism-based network embedding approach for anchor link identification across social networks.
Neural Comput. Appl., 2022

2021
Multi-agent reinforcement learning for redundant robot control in task-space.
Int. J. Mach. Learn. Cybern., 2021

Fuzzy identification of systems based on adaptive neurons.
J. Intell. Fuzzy Syst., 2021

Stable bilateral teleoperation with phase transition and haptic feedback.
J. Frankl. Inst., 2021

Nonlinear control using human behavior learning.
Inf. Sci., 2021

Fast training of deep LSTM networks with guaranteed stability for nonlinear system modeling.
Neurocomputing, 2021

Energy Consumption Prediction of a CNC Machining Process With Incomplete Data.
IEEE CAA J. Autom. Sinica, 2021

Anomaly detection of power consumption in yarn spinning using transfer learning.
Comput. Ind. Eng., 2021

Time series forecasting with missing data using neural network and meta-transfer learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Autonomous Navigation Using Robust SLAM and Genetic Algorithm.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
A Novel Fuzzy System With Adaptive Neurons for Earthquake Modeling.
IEEE Access, 2020

Robust Control in the Worst Case Using Continuous Time Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Display Name-Based Anchor User Identification across Chinese Social Networks.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Multi-robot manipulation using formation control and human-in-the-loop scheme.
Proceedings of the 17th International Conference on Electrical Engineering, 2020

Redundant Robot Control Using Multi Agent Reinforcement Learning.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
Discrete-time sliding mode for building structure bidirectional active vibration control.
Trans. Inst. Meas. Control, 2019

Stability and Transparency of Delayed Bilateral Teleoperation with Haptic Feedback.
Int. J. Appl. Math. Comput. Sci., 2019

Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Fast Training of Deep LSTM Networks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Autonomous navigation in unknown environments using robust SLAM.
Proceedings of the IECON 2019, 2019

Measure community quality by attribute importance and density in social networks.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Bidirectional active control of structures with type-2 fuzzy PD and PID.
Int. J. Syst. Sci., 2018

IoT-based smart and complex systems: a guest editorial report.
IEEE CAA J. Autom. Sinica, 2018

Numerical Solution of Fuzzy Equations with Z-numbers using Neural Networks.
Intell. Autom. Soft Comput., 2018

A Hybrid Fuzzy Petri Nets and Neural Networks Framework for Modeling Critical Infrastructure Systems.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Haptic Bilateral Robots System for Wrist Rehabilitation after Stroke.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017
Active rule base development for dynamic vertical partitioning of multimedia databases.
J. Intell. Inf. Syst., 2017

Numerical Solution of Fuzzy Differential Equations with Z-numbers Using Bernstein Neural Networks.
Int. J. Comput. Intell. Syst., 2017

Probability based fuzzy modeling.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
Structural Health Monitoring of Building Structures With Online Data Mining Methods.
IEEE Syst. J., 2016

Robot trajectory generation using modified hidden Markov model and Lloyd's algorithm in joint space.
Eng. Appl. Artif. Intell., 2016

Fuzzy Differential Equations for Nonlinear System Modeling With Bernstein Neural Networks.
IEEE Access, 2016

Cyclic workflow resource requirement analysis and application in healthcare.
Proceedings of the 13th International Workshop on Discrete Event Systems, 2016

Nonlinear system modeling with deep neural networks and autoencoders algorithm.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Solving fuzzy differential equation with Bernstein neural networks.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Ranking features in Facebook to detect overlapping communities.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Resource requirement analysis for cyclic workflows.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Stability analysis of wireless networked control with time-varying sampling period.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Fuzzy output feedback control via sliding mode observer.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Dynamic feedforward network architecture design based on information entropy.
Proceedings of the 13th International Conference on Electrical Engineering, 2016

2015
Detection of building structure damage with support vector machine.
Proceedings of the 12th IEEE International Conference on Networking, Sensing and Control, 2015

Nonlinear system identification using deep learning and randomized algorithms.
Proceedings of the IEEE International Conference on Information and Automation, 2015

A 3-D hand rehabilitation system using haptic device.
Proceedings of the 12th International Conference on Electrical Engineering, 2015

Bipedal walking control in dynamic environment using data mining techniques.
Proceedings of the 12th International Conference on Electrical Engineering, 2015

Data Stream Classification for Structural Health Monitoring via On-Line Support Vector Machines.
Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

2014
Fast Support Vector Machine Classification for Large Data Sets.
Int. J. Comput. Intell. Syst., 2014

Stable Neural Pid Anti-Swing Control For An Overhead Crane.
Intell. Autom. Soft Comput., 2014

Support vector machine classification for large datasets using decision tree and Fisher linear discriminant.
Future Gener. Comput. Syst., 2014

Imbalanced data classification via support vector machines and genetic algorithms.
Connect. Sci., 2014

Topic hierarchy in social networks.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Hybrid neural networks for gasoline blending system modeling.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Numerical integrator for inertial sensors in smartphone with application to tele-manipulation of robot.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014

2013
Large data sets classification using convex-concave hull and support vector machine.
Soft Comput., 2013

On-line modeling via fuzzy support vector machines and neural networks.
J. Intell. Fuzzy Syst., 2013

A novel PID tuning method for robot control.
Ind. Robot, 2013

Convex and concave hulls for classification with support vector machine.
Neurocomputing, 2013

Smartphone-Based Human Machine Interface with Application to Remote Control of Robot Arm.
Proceedings of the IEEE International Conference on Systems, 2013

Using Genetic Algorithm to Improve Classification Accuracy on Imbalanced Data.
Proceedings of the IEEE International Conference on Systems, 2013

An Evolutionary Approach for Fuzzy Knowledge Learning.
Proceedings of the IEEE International Conference on Systems, 2013

Estimating the Number of Test Cases for Active Rule Validation.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2013

DYVEP: An active database system with vertical partitioning functionality.
Proceedings of 10th IEEE International Conference on Networking, Sensing and Control, 2013

A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Neural passivity control of nonlinear multivariable systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Robust observers for a class of uncertainty nonlinear systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Neural PID admittance control of a robot.
Proceedings of the American Control Conference, 2013

2012
Fast classification for large data sets via random selection clustering and Support Vector Machines.
Intell. Data Anal., 2012

Anti-Swing Control For An Overhead Crane With Fuzzy Compensation.
Intell. Autom. Soft Comput., 2012

DYMOND: an active system for dynamic vertical partitioning of multimedia databases.
Proceedings of the 16th International Database Engineering & Applications Symposium, 2012

Data Selection Using Decision Tree for SVM Classification.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Convex-Concave Hull for Classification with Support Vector Machine.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Dynamic Vertical Partitioning of Multimedia Databases Using Active Rules.
Proceedings of the Database and Expert Systems Applications, 2012

Stable PID control for robot manipulators with neural compensation.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Haar wavelet neural networks for nonlinear system identification.
Proceedings of the 2012 IEEE International Symposium on Intelligent Control, 2012

Robot PD control with parallel/serial neural network and sliding mode compensations.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
Two-stage neural sliding-mode control of magnetic levitation in minimal invasive surgery.
Neural Comput. Appl., 2011

Automated nonlinear system modelling with multiple neural networks.
Int. J. Syst. Sci., 2011

A dynamic vertical partitioning approach for distributed database system.
Proceedings of the IEEE International Conference on Systems, 2011

An Active System for Dynamic Vertical Partitioning of Relational Databases.
Proceedings of the Advances in Soft Computing, 2011

Border Samples Detection for Data Mining Applications Using Non Convex Hulls.
Proceedings of the Advances in Soft Computing, 2011

A Petri Net-Based Metric for Active Rule Validation.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

A support-based vertical partitioning method for database design.
Proceedings of the 8th International Conference on Electrical Engineering, 2011

Modeling and neuro control for multicomponent nonideal distillation column.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

A systematic tunning method of PID controller for robot manipulators.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

A Vertical Partitioning Algorithm for Distributed Multimedia Databases.
Proceedings of the Database and Expert Systems Applications, 2011

PID admittance control for an upper limb exoskeleton.
Proceedings of the American Control Conference, 2011

2010
Modeling of Crude Oil Blending via Discrete-Time Neural Networks.
Proceedings of the Applications of Neural Networks in High Assurance Systems, 2010

Automated Nonlinear System Modeling with Multiple Fuzzy Neural Networks and Kernel Smoothing.
Int. J. Neural Syst., 2010

Neural modeling with automatic structure selection.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

ECAPNVer: A Software Tool to Verify Active Rule Bases.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Support vector candidates pre selection strategy based on non convex hulls.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

A Novel SVM Classification Method for Large Data Sets.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Discrete-time neural control without projection for a class of nonlinear systems.
Proceedings of the 2010 IEEE International Symposium on Intelligent Control, 2010

Neural Sliding Mode Control for Magnetic Levitation Systems.
Proceedings of the IEEE International Conference on Control Applications, 2010

2009
Online fuzzy modeling with structure and parameter learning.
Expert Syst. Appl., 2009

Termination Analysis of Active Rules -A Petri Net Based Approach.
Proceedings of the IEEE International Conference on Systems, 2009

Splice Site Detection in DNA Sequences Using a Fast Classification Algorithm.
Proceedings of the IEEE International Conference on Systems, 2009

Neural sliding mode control with finite time convergence.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
On-line fuzzy modeling via clustering and support vector machines.
Inf. Sci., 2008

Support vector machine classification for large data sets via minimum enclosing ball clustering.
Neurocomputing, 2008

Support Vector classification for large data sets by reducing training data with change of classes.
Proceedings of the IEEE International Conference on Systems, 2008

Robust adaptive control via neural linearization and four types of compensation.
Proceedings of the International Joint Conference on Neural Networks, 2008

Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution.
Proceedings of The 2008 International Conference on Data Mining, 2008

2007
Applying Petri Nets in Active Database Systems.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Passivity Analysis of Dynamic Neural Networks with Different Time-scales.
Neural Process. Lett., 2007

Stable antiswing PD control for overhead crane systems with velocity estimation and uncertainties compensation.
Int. J. Autom. Control., 2007

Two-stage svm classification for large data sets via randomly reducing and recovering training data.
Proceedings of the IEEE International Conference on Systems, 2007

Verification of active rule base via conditional colored Petri nets.
Proceedings of the IEEE International Conference on Systems, 2007

Recurrent Fuzzy CMAC for Nonlinear System Modeling.
Proceedings of the Advances in Neural Networks, 2007

Integrated Analytic Framework for Neural Network Construction.
Proceedings of the Advances in Neural Networks, 2007

Fuzzy Modeling Via On-Line Clustering and Support Vector Machine.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

Recurrent fuzzy neural networks for nonlinear system identification.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

Neural identification based on sliding mode observer.
Proceedings of the IEEE International Conference on Control Applications, 2007

2006
Pd Control of robot with velocity estimation and uncertainties compensation.
Int. J. Robotics Autom., 2006

Support Vector Machine Classification Based on Fuzzy Clustering for Large Data Sets.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

PD Control of Overhead Crane Systems with Neural Compensation.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Anti-swing control for overhead crane with neural compensation.
Proceedings of the International Joint Conference on Neural Networks, 2006

Some stability properties of dynamic neural networks with different time-scales.
Proceedings of the International Joint Conference on Neural Networks, 2006

Passivity Analysis for Neuro Identifier with Different Time-Scales.
Proceedings of the Intelligent Computing, 2006

Fuzzy Neural Identification by Online Clustering with Application on Crude Oil Blending.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
An Active Rule Base Simulator based on Petri Nets.
Proceedings of the Modelling, 2005

Recurrent neural networks training with stable risk-sensitive Kalman filter algorithm.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

Continuous-time recurrent multilayer perceptrons for nonlinear system identification.
Proceedings of 2005 IEEE Conference on Control Applications, 2005

2004
Fuzzy identification using fuzzy neural networks with stable learning algorithms.
IEEE Trans. Fuzzy Syst., 2004

An application of conditional colored Petri nets: active database system.
Proceedings of the IEEE International Conference on Systems, 2004

System Identification Using Adjustable RBF Neural Network with Stable Learning Algorithms.
Proceedings of the Advances in Neural Networks, 2004

Robust Adaptive Control Using Neural Networks and Projection.
Proceedings of the Advances in Neural Networks, 2004

Visual servoing with velocity observer and neural compensation.
Proceedings of the Intelligent Control, 2004

2003
Stable Fuzzy Identification using Recurrent Fuzzy Neural Networks.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

Discrete-time nonlinear system identification using recurrent neural networks.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Fuzzy neural modeling using stable learning algorithm.
Proceedings of the American Control Conference, 2003

2002
Dynamic system identification via recurrent multilayer perceptron.
Inf. Sci., 2002

Chemical Process Identification with Multiple Neural Networks.
Int. J. Comput. Eng. Sci., 2002

Minimax control for discrete-time time-varying stochastic systems.
Autom., 2002

A Structural Model of ECA Rules in Active Database.
Proceedings of the MICAI 2002: Advances in Artificial Intelligence, 2002

Adaptive control with multiple neural networks.
Proceedings of the American Control Conference, 2002

2001
Some new results on system identification with dynamic neural networks.
IEEE Trans. Neural Networks, 2001

2000
Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework.
IEEE Trans. Syst. Man Cybern. Part C, 2000

Passivity properties of neuro-identifier.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Passive properties of dynamic neural networks.
Proceedings of the American Control Conference, 2000

1999
Modeling an electronic component manufacturing system using Object Oriented Colored Petri Nets.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999


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