Long Jin

According to our database1, Long Jin authored at least 114 papers between 2004 and 2020.

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Bibliography

2020
Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation.
J. Frankl. Inst., 2020

A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion.
Inf. Sci., 2020

Two neural dynamics approaches for computing system of time-varying nonlinear equations.
Neurocomputing, 2020

Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion.
Neurocomputing, 2020

Noise-tolerant Z-type neural dynamics for online solving time-varying inverse square root problems: A control-based approach.
Neurocomputing, 2020

Two DTZNN Models of O(τ4) Pattern for Online Solving Dynamic System of Linear Equations: Application to Manipulator Motion Generation.
IEEE Access, 2020

Recurrent Neural Network for State Adjustment of Redundant Manipulators.
IEEE Access, 2020

Convolutional Neural Network Based on Complex Networks for Brain Tumor Image Classification With a Modified Activation Function.
IEEE Access, 2020

2019
New Zeroing Neural Network Models for Solving Nonstationary Sylvester Equation With Verifications on Mobile Manipulators.
IEEE Trans. Ind. Informatics, 2019

On Generalized RMP Scheme for Redundant Robot Manipulators Aided With Dynamic Neural Networks and Nonconvex Bound Constraints.
IEEE Trans. Ind. Informatics, 2019

RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables.
IEEE Trans. Ind. Informatics, 2019

A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach.
IEEE Trans. Ind. Informatics, 2019

Dual-Polarized Fiber Laser Sensor for Photoacoustic Microscopy.
Sensors, 2019

Nonlinear gradient neural network for solving system of linear equations.
Inf. Process. Lett., 2019

Different modified zeroing neural dynamics with inherent tolerance to noises for time-varying reciprocal problems: A control-theoretic approach.
Neurocomputing, 2019

Modified single-output Chebyshev-polynomial feedforward neural network aided with subset method for classification of breast cancer.
Neurocomputing, 2019

Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach.
Autom., 2019

A survey on projection neural networks and their applications.
Appl. Soft Comput., 2019

Modified Weights-and-Structure-Determination Neural Network for Pattern Classification of Flatfoot.
IEEE Access, 2019

On Modified Multi-Output Chebyshev-Polynomial Feed-Forward Neural Network for Pattern Classification of Wine Regions.
IEEE Access, 2019

Adaptive Zeroing-Gradient Controller for Ship Course Tracking With Near Singularity Considered and Zero Theoretical Tracking Error.
IEEE Access, 2019

Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection.
IEEE Access, 2019

Weight and Structure Determination Neural Network Aided With Double Pseudoinversion for Diagnosis of Flat Foot.
IEEE Access, 2019

Diversity Analysis for Spatial Scattering Modulation in Millimeter Wave MIMO System.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Control Strategy for Dynamic Voltage Restorer Under Distorted and Unbalanced Voltage Conditions.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018
Labeling Transformation and Introspective Learning with Convolutional Nets.
PhD thesis, 2018

Distributed Task Allocation of Multiple Robots: A Control Perspective.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator.
IEEE Trans. Ind. Informatics, 2018

Neural Dynamics for Cooperative Control of Redundant Robot Manipulators.
IEEE Trans. Ind. Informatics, 2018

RNN Models for Dynamic Matrix Inversion: A Control-Theoretical Perspective.
IEEE Trans. Ind. Informatics, 2018

Vegetation Changes along the Qinghai-Tibet Plateau Engineering Corridor Since 2000 Induced by Climate Change and Human Activities.
Remote. Sens., 2018

Neural network-based discrete-time Z-type model of high accuracy in noisy environments for solving dynamic system of linear equations.
Neural Computing and Applications, 2018

Robot manipulator control using neural networks: A survey.
Neurocomputing, 2018

Dynamic neural networks aided distributed cooperative control of manipulators capable of different performance indices.
Neurocomputing, 2018

Intelligent Controllers for Multirobot Competitive and Dynamic Tracking.
Complexity, 2018

Nonconvex projection activated zeroing neurodynamic models for time-varying matrix pseudoinversion with accelerated finite-time convergence.
Appl. Soft Comput., 2018

2017
Kinematic Control of Redundant Manipulators Using Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks.
IEEE Trans. Ind. Electron., 2017

Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach.
IEEE Trans. Autom. Control., 2017

Corrugated-Diaphragm Based Fiber Laser Hydrophone with Sub-100 μPa/Hz1/2 Resolution.
Sensors, 2017

Formation and Applications of the Secondary Fiber Bragg Grating.
Sensors, 2017

Simultaneous learning and control of parallel Stewart platforms with unknown parameters.
Neurocomputing, 2017

Zeroing neural networks: A survey.
Neurocomputing, 2017

Nonconvex function activated zeroing neural network models for dynamic quadratic programming subject to equality and inequality constraints.
Neurocomputing, 2017

A Velocity-Level Bi-Criteria Optimization Scheme for Coordinated Path Tracking of Dual Robot Manipulators Using Recurrent Neural Network.
Frontiers Neurorobotics, 2017

Different-Level Simultaneous Minimization Scheme for Fault Tolerance of Redundant Manipulator Aided with Discrete-Time Recurrent Neural Network.
Frontiers Neurorobotics, 2017

Introspective Generative Modeling: Decide Discriminatively.
CoRR, 2017

Introspective Classifier Learning: Empower Generatively.
CoRR, 2017

Early Detection of Configuration Errors to Reduce Failure Damage.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Introspective Classification with Convolutional Nets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Acceleration-level fault-tolerant scheme for redundant manipulator motion planning and control: Theoretics.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

A recurrent neural network approach for visual servoing of manipulators.
Proceedings of the IEEE International Conference on Information and Automation, 2017

Introspective Neural Networks for Generative Modeling.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Application of Adaptive Genetic Algorithm for Multimodal Transportation Logistics Distribution Routing Problem.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2016
Taylor O(h3) Discretization of ZNN Models for Dynamic Equality-Constrained Quadratic Programming With Application to Manipulators.
IEEE Trans. Neural Networks Learn. Syst., 2016

Integration-Enhanced Zhang Neural Network for Real-Time-Varying Matrix Inversion in the Presence of Various Kinds of Noises.
IEEE Trans. Neural Networks Learn. Syst., 2016

Modified ZNN for Time-Varying Quadratic Programming With Inherent Tolerance to Noises and Its Application to Kinematic Redundancy Resolution of Robot Manipulators.
IEEE Trans. Ind. Electron., 2016

Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor.
Sensors, 2016

Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization.
Numer. Algorithms, 2016

Challenging simulation practice (failure and success) on implicit tracking control of double-integrator system via Zhang-gradient method.
Math. Comput. Simul., 2016

Enhanced discrete-time Zhang neural network for time-variant matrix inversion in the presence of bias noises.
Neurocomputing, 2016

Tracking control of modified Lorenz nonlinear system using ZG neural dynamics with additive input or mixed inputs.
Neurocomputing, 2016

GD-aided IOL (input-output linearisation) controller for handling affine-form nonlinear system with loose condition on relative degree.
Int. J. Control, 2016

Design of LPF using Hi-Lo interdigital DGS slot.
IEICE Electronic Express, 2016

Object Detection Free Instance Segmentation With Labeling Transformations.
CoRR, 2016

Compact dual-polarized UWB-MIMO antenna with two band-notched function.
Proceedings of the 2nd International Conference on Communication and Information Processing, 2016

2015
Discrete-Time Zhang Neural Network for Online Time-Varying Nonlinear Optimization With Application to Manipulator Motion Generation.
IEEE Trans. Neural Networks Learn. Syst., 2015

G2-Type SRMPC Scheme for Synchronous Manipulation of Two Redundant Robot Arms.
IEEE Trans. Cybern., 2015

A Revised Temporal Scaling Method to Yield Better ET Estimates at a Regional Scale.
Remote. Sens., 2015

Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization.
J. Comput. Appl. Math., 2015

Infinitely many Zhang functions resulting in various ZNN models for time-varying matrix inversion with link to Drazin inverse.
Inf. Process. Lett., 2015

Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm.
Neurocomputing, 2015

Novel design of substrate integrated waveguide filter employing broadside-coupled complementary split ring resonators.
IEICE Electronic Express, 2015

Semantic Matching in APP Search.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Hey, you have given me too many knobs!: understanding and dealing with over-designed configuration in system software.
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

2014
A High-Sensitivity Current Sensor Utilizing CrNi Wire and Microfiber Coils.
Sensors, 2014

Discrete-time Zhang neural network of O(τ3) pattern for time-varying matrix pseudoinversion with application to manipulator motion generation.
Neurocomputing, 2014

Z-Type Model for Real-Time Solution of Complex ZLE.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

ZE in iZ1eD1 manner for MKE redundancy resolution at velocity and acceleration levels.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014

From Newton Fractals to Gradient Fractals in Addition to Zhang Fractals.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013
Understanding user behavior in online social networks: a survey.
IEEE Communications Magazine, 2013

ZG controllers for output tracking of nonlinear mass-spring-damper mechanical system with division-by-zero problem solved.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Optimizing background email sync on smartphones.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

Different ZFs Leading to Various ZNN Models Illustrated via Online Solution of Time-Varying Underdetermined Systems of Linear Equations with Robotic Application.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Growing-type WASD for power-activation neuronet to model and forecast monthly time series.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Twice-Pruning Aided WASD Neuronet of Bernoulli-Polynomial Type with Extension to Robust Classification.
Proceedings of the IEEE 11th International Conference on Dependable, 2013

2012
Superior performance of using hyperbolic sine activation functions in ZNN illustrated via time-varying matrix square roots finding.
Comput. Sci. Inf. Syst., 2012

A novel hybrid genetic algorithm and Simulated Annealing for feature selection and kernel optimization in support vector regression.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Ensemble prediction of monthly mean rainfall with a Particle Swarm Optimization-neural network model.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Three nonlinearly-activated discrete-Time ZNN models for time-varying matrix inversion.
Proceedings of the Eighth International Conference on Natural Computation, 2012

An Application of Ensemble Prediction for Typhoon Intensity Based on MDS and PSO-ANN.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

An Neural Network Ensemble approach based on PSO algorithm and LLE for Typhoon Intensity.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

An Algorithm for Global Optimization Problems Based on ABC-BFGS.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

A Particle Swarm Optimization-Neural Network Prediction Model for Typhoon Intensity Based on Isometric Mapping Algorithm.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

A Genetic-Neural Network Model Based on Multidimensional Scaling for Typhoon Intensity.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

Zhang Fractals Yielded via Solving Time-Varying Nonlinear Complex Equations by Discrete-Time Complex-Valued ZD.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012

2011
Albatross sampling: robust and effective hybrid vertex sampling for social graphs.
Proceedings of the 3rd ACM International Workshop on Hot Topics in Planet-scale Measurement, 2011

Understanding Graph Sampling Algorithms for Social Network Analysis.
Proceedings of the 31st IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2011 Workshops), 2011

Evaluating Roving Patrol Effectiveness by GPS Trajectory.
Proceedings of the IEEE Ninth International Conference on Dependable, 2011

2010
A Hybrid Support Vector Regression Approach for Rainfall Forecasting Using Particle Swarm Optimization and Projection Pursuit Technology.
International Journal of Computational Intelligence and Applications, 2010

2009
A Convergence Proof for Ant Colony Algorithm.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

A Neural Network Ensemble Prediction Model Based on MGF and PLS for Drought and Waterlogging Disasters in Short-Range Climate.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

2008
Application of calendar-based temporal classification to forecast customer load patterns from load demand data.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007
A Numerical Prediction Product FNN Prediction Model Based on Condition Number and Analog Deviation.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Prediction of Frequent Items to One Dimensional Stream Data.
Proceedings of the Selected Papers of the Fifth International Conference on, 2007

Frequent Pattern Mining using Bipartite Graph.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

Mining Recent Frequent Itemsets over Data Streams with a Time-Sensitive Sliding Window.
Proceedings of the Advances in Web and Network Technologies, and Information Management, 2007

Mining Frequent Itemsets over Data Streams with Multiple Time-Sensitive Sliding Windows.
Proceedings of The Sixth International Conference on Advanced Language Processing and Web Information Technology, 2007

2006
Discovery of Temporal Frequent Patterns Using TFP-Tree.
Proceedings of the Advances in Web-Age Information Management, 2006

Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
An Efficient Range Query Under the Time Warping Distance.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Similarity Pattern Discovery Using Calendar Concept Hierarchy in Time Series Data.
Proceedings of the Advanced Web Technologies and Applications, 2004


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