Wei Lin

Orcid: 0000-0002-1863-4306

Affiliations:
  • Fudan University, School of Mathematical Sciences, Shanghai, China


According to our database1, Wei Lin authored at least 34 papers between 2002 and 2024.

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Bibliography

2024
Guest Editorial Special Issue on Cognitive Learning of Multiagent Systems.
IEEE Trans. Cogn. Dev. Syst., February, 2024

Generalized Invariance Principles for Stochastic Dynamical Systems and Their Applications.
IEEE Trans. Autom. Control., January, 2024

2023
Neural Delay Differential Equations: System Reconstruction and Image Classification.
CoRR, 2023

Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delays.
CoRR, 2023

SYNC: Safety-Aware Neural Control for Stabilizing Stochastic Delay-Differential Equations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Stochastically Adaptive Control and Synchronization: From Globally One-Sided Lipschitzian to Only Locally Lipschitzian Systems.
SIAM J. Appl. Dyn. Syst., 2022

AC-PCoA: Adjustment for confounding factors using principal coordinate analysis.
PLoS Comput. Biol., 2022

Generalized invariance principles for discrete-time stochastic dynamical systems.
Autom., 2022

Neural Stochastic Control.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Piecewise-Constant Delay Differential Equations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Identifying Molecular Biomarkers for Diseases With Machine Learning Based on Integrative Omics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

The Role of Random Structures in Tissue Formation: From a Viewpoint of Morphogenesis in Stochastic Systems.
Int. J. Bifurc. Chaos, 2021

Performance measures after perturbations in the presence of inertia.
Commun. Nonlinear Sci. Numer. Simul., 2021

Neural Delay Differential Equations.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
How Price-Based Frequency Regulation Impacts Stability in Power Grids: A Complex Network Perspective.
Complex., 2020

2019
Stabilizing Boolean networks by optimal event-triggered feedback control.
Syst. Control. Lett., 2019

Systems of elliptic boundary value problems and applications to competition models.
Appl. Math. Lett., 2019

2018
Stability of Switched Systems on Randomly Switching Durations With Random Interaction Matrices.
IEEE Trans. Autom. Control., 2018

Brain-Inspired Constructive Learning Algorithms with Evolutionally Additive Nonlinear Neurons.
Int. J. Bifurc. Chaos, 2018

2015
Parameters Identification by a Piecewise Adaptive Rule with a Fractional Power.
Int. J. Bifurc. Chaos, 2015

2014
Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization.
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

2013
Realization of Parameters Identification in Only Locally Lipschitzian Dynamical Systems with Multiple Types of Time Delays.
SIAM J. Control. Optim., 2013

2012
Invariance Principles Allowing of Non-Lyapunov Functions for Estimating Attractor of Discrete Dynamical Systems.
IEEE Trans. Autom. Control., 2012

2011
A Dynamical Model Reveals Gene Co-Localizations in Nucleus.
PLoS Comput. Biol., 2011

Multiple positive solutions of systems of Hammerstein integral equations with applications to fractional differential equations.
J. Lond. Math. Soc., 2011

Dynamics of a Discrete-Time Model of an "Ideal-Storage" System Describing Hetero-Catalytic Processes on metal Surfaces.
Int. J. Bifurc. Chaos, 2011

2010
Synchronization Between Adaptively Coupled Systems With Discrete and Distributed Time-Delays.
IEEE Trans. Autom. Control., 2010

Nonlocal and multiple-point boundary value problem for fractional differential equations.
Comput. Math. Appl., 2010

2009
Large Memory Capacity in Chaotic Artificial Neural Networks: A View of the Anti-Integrable Limit.
IEEE Trans. Neural Networks, 2009

2007
The generalized invariance principle for dynamic equations on time scales.
Appl. Math. Comput., 2007

2006
Heteroclinical Repellers Imply Chaos.
Int. J. Bifurc. Chaos, 2006

On the existence and stability of the periodic solution in the Cohen-Grossberg neural network with time delay and high-order terms.
Appl. Math. Comput., 2006

2004
Algorithm for Estimation of the Stable Basin in Controlling Chaotic Discrete Dynamics.
Int. J. Bifurc. Chaos, 2004

2002
On the Mathematical Clarification of the SNAP-Back-Repeller in High-Dimensional Systems and Chaos in a Discrete Neural Network Model.
Int. J. Bifurc. Chaos, 2002


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