Xinli Shi

Orcid: 0000-0002-4443-608X

According to our database1, Xinli Shi authored at least 34 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Exponential Convergence of Primal-Dual Dynamics Under General Conditions and Its Application to Distributed Optimization.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

A multidimensional framework for asphalt pavement evaluation based on multilayer network representation learning: A case study in RIOHTrack.
Expert Syst. Appl., March, 2024

Neurodynamic approaches for multi-agent distributed optimization.
Neural Networks, January, 2024

2023
Finite-Time and Fixed-Time Synchronization of Delayed Memristive Neural Networks via Adaptive Aperiodically Intermittent Adjustment Strategy.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Leader-following consensus of finite-field networks with time-delays.
Inf. Sci., November, 2023

A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack.
IEEE CAA J. Autom. Sinica, October, 2023

Finite-Time Distributed Average Tracking for Multiagent Optimization With Bounded Inputs.
IEEE Trans. Autom. Control., August, 2023

QPSO-AHES-RC: a hybrid learning model for short-term traffic flow prediction.
Soft Comput., July, 2023

An accelerated end-to-end method for solving routing problems.
Neural Networks, July, 2023

Finite-Time Convergent Primal-Dual Gradient Dynamics With Applications to Distributed Optimization.
IEEE Trans. Cybern., May, 2023

Asphalt Pavement Health Prediction Based on Improved Transformer Network.
IEEE Trans. Intell. Transp. Syst., April, 2023

Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization.
IEEE Trans. Signal Process., 2023

An Augmented Model of Rutting Data Based on Radial Basis Neural Network.
Symmetry, 2023

Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks.
Neural Networks, 2023

Finite-Time Convergent Algorithms for Time-Varying Distributed Optimization.
IEEE Control. Syst. Lett., 2023

MG-Skip: Random Multi-Gossip Skipping Method for Nonsmooth Distributed Optimization.
CoRR, 2023

2022
Synchronization of Finite-Field Networks With Time Delays.
IEEE Trans. Netw. Sci. Eng., 2022

A collective neurodynamic approach for solving distributed system optimum dynamic traffic assignment problems.
Neurocomputing, 2022

Exponential Convergence of Primal-Dual Dynamical System for Linear Constrained Optimization.
IEEE CAA J. Autom. Sinica, 2022

Differentially Private Decentralized Optimization with Relay Communication.
CoRR, 2022

BALPA: A Balanced Primal-Dual Algorithm for Nonsmooth Optimization with Application to Distributed Optimization.
CoRR, 2022

DISA: A Dual Inexact Splitting Algorithm for Distributed Convex Composite Optimization.
CoRR, 2022

Complex network approach for the evaluation of asphalt pavement design and construction: a longitudinal study.
Sci. China Inf. Sci., 2022

Deep Reinforcement Learning for the Capacitated Vehicle Routing Problem with Soft Time Window.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

2021
On Set Stability of Finite-Field Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A Controllability Problem of Finite-Field Networks.
Proceedings of the 2021 Australian & New Zealand Control Conference, 2021

2020
Finite-Time Stability for Network Systems With Nonlinear Protocols Over Signed Digraphs.
IEEE Trans. Netw. Sci. Eng., 2020

Finite-Time Stability of Network Systems With Discontinuous Dynamics Over Signed Digraphs.
IEEE Trans. Autom. Control., 2020

Continuous distributed algorithms for solving linear equations in finite time.
Autom., 2020

2019
Model Predictive Power Dispatch and Control With Price-Elastic Load in Energy Internet.
IEEE Trans. Ind. Informatics, 2019

Finite-Time Consensus of Opinion Dynamics and its Applications to Distributed Optimization Over Digraph.
IEEE Trans. Cybern., 2019

2018
Distributed Parametric Consensus Optimization With an Application to Model Predictive Consensus Problem.
IEEE Trans. Cybern., 2018

2016
Frequency Regulation of Source-Grid-Load Systems: A Compound Control Strategy.
IEEE Trans. Ind. Informatics, 2016

2015
A novel memristive electronic synapse-based Hermite chaotic neural network with application in cryptography.
Neurocomputing, 2015


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