Jigen Peng
Orcid: 0000-0002-7207-3183
According to our database1,
Jigen Peng
authored at least 122 papers
between 2001 and 2025.
Collaborative distances:
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Bibliography
2025
Neural Networks, 2025
A bio-inspired visual collision detection network integrated with dynamic temporal variance feedback regulated by scalable functional countering jitter streaming.
Neural Networks, 2025
2024
Appl. Intell., May, 2024
Bio-Inspired Small Target Motion Detection With Spatio-Temporal Feedback in Natural Scenes.
IEEE Trans. Image Process., 2024
Smooth hard shrinkage operator for tensor completion based on self-adaptive transforms.
Signal Process., 2024
A computationally efficient and robust looming perception model based on dynamic neural field.
Neural Networks, 2024
Knowl. Based Syst., 2024
Digit. Signal Process., 2024
Unveiling the power of Haar frequency domain: Advancing small target motion detection in dim light.
Appl. Soft Comput., 2024
Improving the Performance of an Insect-Inspired Navigation Model Using Directional Selective Collision Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., November, 2023
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
Neural Networks, September, 2023
An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance.
Neural Networks, August, 2023
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
IEEE Trans. Neural Networks Learn. Syst., March, 2023
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
Neurocomputing, 2023
Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise.
IET Image Process., 2023
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
Frontiers Neurorobotics, September, 2022
A Non-Convex Compressed Sensing Model Improving the Energy Efficiency of WSNs for Abnormal Events' Monitoring.
Sensors, 2022
Circuits Syst. Signal Process., 2022
CoRR, 2022
Subspace Segmentation by Low Rank Representation via the Sparse-Prompting Quasi-Rank Function.
IEEE Access, 2022
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
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
Multim. Tools Appl., 2021
Discriminative semi-supervised non-negative matrix factorization for data clustering.
Eng. Appl. Artif. Intell., 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
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
Signal Process., 2020
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
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
IET Signal Process., 2019
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
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
Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation.
Neural Networks, 2018
J. Comput. Appl. Math., 2018
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
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
J. Comput. Appl. Math., 2017
A Primal Douglas-Rachford Splitting Method for the Constrained Minimization Problem in Compressive Sensing.
Circuits Syst. Signal Process., 2017
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
2016
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
Neural Networks, 2015
A Cyclic and Simultaneous Iterative Method for Solving the Multiple-Sets Split Feasibility Problem.
J. Optim. Theory Appl., 2015
$NP/CLP$ Equivalence: A Phenomenon Hidden Among Sparsity Models for Information Processing.
CoRR, 2015
Proceedings of the Combinatorial Optimization and Applications, 2015
2014
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
2012
Neural Comput. Appl., 2012
Exponential lag synchronization of fuzzy cellular neural networks with time-varying delays.
J. Frankl. Inst., 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
Neural Comput., 2011
A novel approach to exponential stability of nonlinear systems with time-varying delays.
J. Comput. Appl. Math., 2011
Appl. Math. Comput., 2011
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
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
Int. J. Pattern Recognit. Artif. Intell., 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
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
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
2004
Neural Networks, 2004
2003
IEEE Trans. Syst. Man Cybern. Part B, 2003
2002
Neural Networks, 2002
2001
Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks.
IEEE Trans. Neural Networks, 2001