Jigen Peng

Orcid: 0000-0002-7207-3183

According to our database1, Jigen Peng authored at least 112 papers between 2001 and 2024.

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Bibliography

2024
Bio-Inspired Small Target Motion Detection With Spatio-Temporal Feedback in Natural Scenes.
IEEE Trans. Image Process., 2024

2023
A Robust Visual System for Looming Cue Detection Against Translating Motion.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Multi-scale pseudo labeling for unsupervised deep edge detection.
Knowl. Based Syst., November, 2023

A fractional-order visual neural network for collision sensing in noisy and dynamic scenes.
Appl. Soft Comput., November, 2023

Attention and Prediction-Guided Motion Detection for Low-Contrast Small Moving Targets.
IEEE Trans. Cybern., October, 2023

A look into feedback neural computation upon collision selectivity.
Neural Networks, September, 2023

An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance.
Neural Networks, August, 2023

DCACO: an algorithm for designing incoherent redundant matrices.
Numer. Algorithms, June, 2023

A fast inertial primal-dual algorithm to composite optimization models with application to image restoration problems.
J. Comput. Appl. Math., June, 2023

A directionally selective collision-sensing visual neural network based on fractional-order differential operator.
Frontiers Neurorobotics, June, 2023

Enhancing LGMD's Looming Selectivity for UAV With Spatial-Temporal Distributed Presynaptic Connections.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

A Weighting Method for Feature Dimension by Semisupervised Learning With Entropy.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Harmonizing motion and contrast vision for robust looming detection.
Array, March, 2023

A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments.
IEEE Trans. Neural Networks Learn. Syst., 2023

A fractional-order visual neural model for small target motion detection.
Neurocomputing, 2023

Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise.
IET Image Process., 2023

On the Ensemble of Collision Perception Neuron Models Towards Ultra-Selectivity.
Proceedings of the International Joint Conference on Neural Networks, 2023

Boosting Collision Perception Against Noisy Signals with a Probabilistic Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Mathematical study of neural feedback roles in small target motion detection.
Frontiers Neurorobotics, September, 2022

A Non-Convex Compressed Sensing Model Improving the Energy Efficiency of WSNs for Abnormal Events' Monitoring.
Sensors, 2022

Sparse signal recovery via generalized gaussian function.
J. Glob. Optim., 2022

A method for support neuron selection in NMLI.
Neurocomputing, 2022

A General Null Space Property for Sparse Principal Component Analysis.
Circuits Syst. Signal Process., 2022

Spatio-Temporal Feedback Control of Small Target Motion Detection Visual System.
CoRR, 2022

Subspace Segmentation by Low Rank Representation via the Sparse-Prompting Quasi-Rank Function.
IEEE Access, 2022

Accelerating Motion Perception Model Mimics the Visual Neuronal Ensemble of Crab.
Proceedings of the International Joint Conference on Neural Networks, 2022

Dynamic Signal Suppression Increases the Fidelity of Looming Perception Against Input Variability.
Proceedings of the International Joint Conference on Neural Networks, 2022

Shaping the Ultra-Selectivity of a Looming Detection Neural Network from Non-linear Correlation of Radial Motion.
Proceedings of the International Joint Conference on Neural Networks, 2022

Efficient Bio-Robotic Estimation of Visual Dynamic Complexity.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
A bioinspired angular velocity decoding neural network model for visually guided flights.
Neural Networks, 2021

Dimension reduction based on small sample entropy learning for hand-writing image.
Multim. Tools Appl., 2021

Discriminative semi-supervised non-negative matrix factorization for data clustering.
Eng. Appl. Artif. Intell., 2021

Profiling Visual Dynamic Complexity Using a Bio-Robotic Approach.
CoRR, 2021

An Attention and Prediction Guided Visual System for Small Target Motion Detection in Complex Natural Environments.
CoRR, 2021

Convergence of a Gradient-Based Learning Algorithm With Penalty for Ridge Polynomial Neural Networks.
IEEE Access, 2021

Bioinspired Contrast Vision Computation for Robust Motion Estimation Against Natural Signals.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds.
IEEE Trans. Neural Networks Learn. Syst., 2020

Minimization of Fraction Function Penalty in Compressed Sensing.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Directionally Selective Small Target Motion Detecting Visual Neural Network in Cluttered Backgrounds.
IEEE Trans. Cybern., 2020

A Robust Collision Perception Visual Neural Network With Specific Selectivity to Darker Objects.
IEEE Trans. Cybern., 2020

Design strategy of thresholding operator for low-rank matrix recovery problem.
Signal Process., 2020

A theoretical result of sparse signal recovery via alternating projection method.
Inf. Sci., 2020

Does Time-Delay Feedback Matter to Small Target Motion Detection Against Complex Dynamic Environments?
CoRR, 2020

Simultaneous uniqueness for an inverse problem in a time-fractional diffusion equation.
Appl. Math. Lett., 2020

Coping With Multiple Visual Motion Cues Under Extremely Constrained Computation Power of Micro Autonomous Robots.
IEEE Access, 2020

Improved Collision Perception Neuronal System Model With Adaptive Inhibition Mechanism and Evolutionary Learning.
IEEE Access, 2020

2019
The discrete and mixed minimax 2-center problems.
Theor. Comput. Sci., 2019

A new nonconvex approach to low-rank matrix completion with application to image inpainting.
Multidimens. Syst. Signal Process., 2019

Efficient primal-dual fixed point algorithms with dynamic stepsize for composite convex optimization problems.
Multidimens. Syst. Signal Process., 2019

Corrigendum to "Affine matrix rank minimization problem via non-convex fraction function penalty" [J. Comput. Appl. Math. 336 (2018) 353-374].
J. Comput. Appl. Math., 2019

Iterative thresholding algorithm based on non-convex method for modified lp-norm regularization minimization.
J. Comput. Appl. Math., 2019

Sparse non-negative signal reconstruction using fraction function penalty.
IET Signal Process., 2019

A Two-Step Inertial Primal-Dual Algorithm for Minimizing the Sum of Three Functions.
IEEE Access, 2019

Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds.
Proceedings of the International Joint Conference on Neural Networks, 2019

Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour.
Proceedings of the International Joint Conference on Neural Networks, 2019

Constant Angular Velocity Regulation for Visually Guided Terrain Following.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Variable-Order Finite Difference Scheme for Numerical Simulation in 3-D Poroelastic Media.
IEEE Trans. Geosci. Remote. Sens., 2018

Sparse signal recovery via alternating projection method.
Signal Process., 2018

Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation.
Neural Networks, 2018

The mixed center location problem.
J. Comb. Optim., 2018

The connected disk covering problem.
J. Comb. Optim., 2018

Affine matrix rank minimization problem via non-convex fraction function penalty.
J. Comput. Appl. Math., 2018

Exact recovery low-rank matrix via transformed affine matrix rank minimization.
Neurocomputing, 2018

Preconditioning for Orthogonal Matching Pursuit with Noisy and Random Measurements: The Gaussian Case.
Circuits Syst. Signal Process., 2018

A nonconvex approach to low-rank and sparse matrix decomposition with application to video surveillance.
CoRR, 2018

A modified primal-dual method with applications to some sparse recovery problems.
Appl. Math. Comput., 2018

A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

A Model for Detection of Angular Velocity of Image Motion Based on the Temporal Tuning of the Drosophila.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Stability and robustness of the l<sub>2</sub>/l<sub>q</sub>-minimization for block sparse recovery.
Signal Process., 2017

The Moreau envelope based efficient first-order methods for sparse recovery.
J. Comput. Appl. Math., 2017

A Primal Douglas-Rachford Splitting Method for the Constrained Minimization Problem in Compressive Sensing.
Circuits Syst. Signal Process., 2017

Analysis of equivalence relation in joint sparse recovery.
CoRR, 2017

An improved LPTC neural model for background motion direction estimation.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

2016
Bio-inspired small target motion detector with a new lateral inhibition mechanism.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
NP/CMP Equivalence: A Phenomenon Hidden Among Sparsity Models l<sub>0</sub> Minimization and <sub>p</sub> Minimization for Information Processing.
IEEE Trans. Inf. Theory, 2015

Investigation on Amari's dynamical neural field with global constant inhibition.
Neural Networks, 2015

A Cyclic and Simultaneous Iterative Method for Solving the Multiple-Sets Split Feasibility Problem.
J. Optim. Theory Appl., 2015

When is P such that l_0-minimization Equals to l_p-minimization.
CoRR, 2015

$NP/CLP$ Equivalence: A Phenomenon Hidden Among Sparsity Models for Information Processing.
CoRR, 2015

The Discrete and Mixed Minimax 2-Center Problem.
Proceedings of the Combinatorial Optimization and Applications, 2015

2014
Spatial and Spectral Image Fusion Using Sparse Matrix Factorization.
IEEE Trans. Geosci. Remote. Sens., 2014

Cyclic and simultaneous iterative methods to matrix equations of the form A<sub>i</sub> X B<sub>i</sub> = F<sub>i</sub>.
Numer. Algorithms, 2014

2013
A comment on "α-stability and α-synchronization for fractional-order neural networks".
Neural Networks, 2013

Analytical properties of bivariate fractal interpolation functions with vertical scaling factor functions.
Int. J. Comput. Math., 2013

Soft shape registration under Lie group frame.
IET Comput. Vis., 2013

2012
Pinning a stochastic neural network to the synchronous state.
Neural Comput. Appl., 2012

Exponential lag synchronization of fuzzy cellular neural networks with time-varying delays.
J. Frankl. Inst., 2012

Fractional resolvents and fractional evolution equations.
Appl. Math. Lett., 2012

Reconstruction of sparse signals using smoothed ℓ0 norm via the Mittag-Leffler function.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

A primal dual proximal point method of Chambolle-Pock algorithms for ℓ1-TV minimization problems in image reconstruction.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2011
A New Clustering Approach on the Basis of Dynamical Neural Field.
Neural Comput., 2011

A novel approach to exponential stability of nonlinear systems with time-varying delays.
J. Comput. Appl. Math., 2011

Laplace transform and fractional differential equations.
Appl. Math. Lett., 2011

Approximation on attraction domain of Cohen-Grossberg neural networks.
Appl. Math. Comput., 2011

2010
A New Model for Graph Matching and Its Algorithm.
IEICE Trans. Inf. Syst., 2010

2009
Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A Scale Stretch Method Based on ICP for 3D Data Registration.
IEEE Trans Autom. Sci. Eng., 2009

A New Approach for Estimating the Attraction Domain for Hopfield-Type Neural Networks.
Neural Comput., 2009

Existence and stability of periodic solution of a predator-prey model with state-dependent impulsive effects.
Math. Comput. Simul., 2009

Permanence and stability in multi-species non-autonomous Lotka-Volterra competitive systems with delays and feedback controls.
Math. Comput. Model., 2009

Lie Group Framework of Iterative Closest Point Algorithm for n-d Data Registration.
Int. J. Pattern Recognit. Artif. Intell., 2009

A New Approach to Weighted Graph Matching.
IEICE Trans. Inf. Syst., 2009

Permanence and stability in non-autonomous predator-prey Lotka-Volterra systems with feedback controls.
Comput. Math. Appl., 2009

The dynamics of a Lotka-Volterra predator-prey model with state dependent impulsive harvest for predator.
Biosyst., 2009

Pinning Synchronization Control of Stochastic Neural Networks with Time Delays.
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

2006
Exponential stability of a class of generalized neural networks with time-varying delays.
Neurocomputing, 2006

2005
A critical analysis on global convergence of Hopfield-type neural networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

2004
A comparative study of two modeling approaches in neural networks.
Neural Networks, 2004

2003
A reference model approach to stability analysis of neural networks.
IEEE Trans. Syst. Man Cybern. Part B, 2003

2002
A new approach to stability of neural networks with time-varying delays.
Neural Networks, 2002

2001
Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks.
IEEE Trans. Neural Networks, 2001


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