Xinli Shi

According to our database, Xinli Shi authored at least 42 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cumulative Capacitated Colored Traveling Salesman Problem.

Xiangping Xu, Jinde Cao, Xinli Shi, Sergey Gorbachev

IEEE Trans. Cybern., August, 2024

Fixed-Time Gradient Flows for Solving Constrained Optimization: A Unified Approach.

Xinli Shi, Xiangping Xu, Guanghui Wen, Jinde Cao

IEEE CAA J. Autom. Sinica, August, 2024

A Proximal ADMM-Based Distributed Optimal Energy Management Approach for Smart Grid With Stochastic Wind Power.

Yuan Zhou, Xinli Shi, Luyao Guo, Guanghui Wen, Jinde Cao

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

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

Luyao Guo, Xinli Shi, Shaofu Yang, Jinde Cao

IEEE Trans. Autom. Control., May, 2024

Exponential Convergence of Primal-Dual Dynamics Under General Conditions and Its Application to Distributed Optimization.

Luyao Guo, Xinli Shi, Jinde Cao, Zihao Wang

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.

Hanjie Liu, Jinde Cao, Wei Huang, Xinli Shi, Xingye Zhou, Zhuoxuan Li

Expert Syst. Appl., March, 2024

Neurodynamic approaches for multi-agent distributed optimization.

Luyao Guo, Iakov Korovin, Sergey Gorbachev, Xinli Shi, Nadezhda Gorbacheva, Jinde Cao

Neural Networks, January, 2024

Distributed Proximal Alternating Direction Method of Multipliers for Constrained Composite Optimization Over Directed Networks.

Jing Yan, Xinli Shi, Luyao Guo, Ying Wan, Guanghui Wen

IEEE Trans. Signal Inf. Process. over Networks, 2024

HyperComm: Hypergraph-based communication in multi-agent reinforcement learning.

Tianyu Zhu, Xinli Shi, Xiangping Xu, Jie Gui, Jinde Cao

Neural Networks, 2024

Two fractional order cumulative residual time series measures based on Rényi entropy.

Jinren Zhang, Jinde Cao, Xinli Shi, Wei Huang, Tao Ma, Xingye Zhou

Inf. Sci., 2024

Modeling rutting depth on RIOHTrack asphalt pavement using Circle LSTMs.

Chengye Zhang, Zhuoxuan Li, Jinde Cao, Xinli Shi

Expert Syst. Appl., 2024

Neural relational and dynamics inference for complex systems.

Fan Zhang, Tianyu Zhu, Xinli Shi, Jinde Cao, Mahmoud A. Abdel-Aty

Comput. Ind. Eng., 2024

2023

Finite-Time and Fixed-Time Synchronization of Delayed Memristive Neural Networks via Adaptive Aperiodically Intermittent Adjustment Strategy.

Liyan Cheng, Fangcheng Tang, Xinli Shi, Xiangyong Chen, Jianlong Qiu

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Leader-following consensus of finite-field networks with time-delays.

Wanjie Zhu, Jinde Cao, Xinli Shi, Leszek Rutkowski

Inf. Sci., November, 2023

A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack.

Zhuoxuan Li, Iakov Korovin, Xinli Shi, Sergey Gorbachev, Nadezhda Gorbacheva, Wei Huang, Jinde Cao

IEEE CAA J. Autom. Sinica, October, 2023

Finite-Time Distributed Average Tracking for Multiagent Optimization With Bounded Inputs.

Xinli Shi, Guanghui Wen, Jinde Cao, Xinghuo Yu

IEEE Trans. Autom. Control., August, 2023

QPSO-AHES-RC: a hybrid learning model for short-term traffic flow prediction.

Zhuoxuan Li, Jinde Cao, Xinli Shi, Wei Huang

Soft Comput., July, 2023

An accelerated end-to-end method for solving routing problems.

Tianyu Zhu, Xinli Shi, Xiangping Xu, Jinde Cao

Neural Networks, July, 2023

Finite-Time Convergent Primal-Dual Gradient Dynamics With Applications to Distributed Optimization.

Xinli Shi, Xiangping Xu, Jinde Cao, Xinghuo Yu

IEEE Trans. Cybern., May, 2023

Asphalt Pavement Health Prediction Based on Improved Transformer Network.

Chengjia Han, Tao Ma, Linhao Gu, Jinde Cao, Xinli Shi, Wei Huang, Zheng Tong

IEEE Trans. Intell. Transp. Syst., April, 2023

Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization.

Luyao Guo, Xinli Shi, Jinde Cao, Zihao Wang

IEEE Trans. Signal Process., 2023

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

Zhuoxuan Li, Meng Tao, Jinde Cao, Xinli Shi, Tao Ma, Wei Huang

Symmetry, 2023

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

Jinren Zhang, Jinde Cao, Wei Huang, Xinli Shi, Xingye Zhou

Neural Networks, 2023

Finite-Time Convergent Algorithms for Time-Varying Distributed Optimization.

Xinli Shi, Guanghui Wen, Xinghuo Yu

IEEE Control. Syst. Lett., 2023

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

Luyao Guo, Luqing Wang, Xinli Shi, Jinde Cao

CoRR, 2023

2022

Synchronization of Finite-Field Networks With Time Delays.

Wanjie Zhu, Jinde Cao, Xinli Shi, Leszek Rutkowski

IEEE Trans. Netw. Sci. Eng., 2022

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

Xinli Shi, Xiangping Xu, Jinde Cao

Neurocomputing, 2022

Exponential Convergence of Primal-Dual Dynamical System for Linear Constrained Optimization.

Luyao Guo, Xinli Shi, Jinde Cao

IEEE CAA J. Autom. Sinica, 2022

Differentially Private Decentralized Optimization with Relay Communication.

Luqing Wang, Luyao Guo, Shaofu Yang, Xinli Shi

CoRR, 2022

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

Luyao Guo, Jinde Cao, Xinli Shi, Shaofu Yang

CoRR, 2022

Complex network approach for the evaluation of asphalt pavement design and construction: a longitudinal study.

Hanjie Liu, Jinde Cao, Wei Huang, Xinli Shi, Xudong Wang

Sci. China Inf. Sci., 2022

Deep Reinforcement Learning for the Capacitated Vehicle Routing Problem with Soft Time Window.

Xiaohe Wang, Xinli Shi

Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

2021

On Set Stability of Finite-Field Networks.

Wanjie Zhu, Jinde Cao, Xinli Shi, Sergey Gorbachev

IEEE Trans. Circuits Syst. II Express Briefs, 2021

A Controllability Problem of Finite-Field Networks.

Wanjie Zhu, Jinde Cao, Xinli Shi

Proceedings of the 2021 Australian & New Zealand Control Conference, 2021

2020

Finite-Time Stability for Network Systems With Nonlinear Protocols Over Signed Digraphs.

Xinli Shi, Jinde Cao, Guanghui Wen, Xinghuo Yu

IEEE Trans. Netw. Sci. Eng., 2020

Finite-Time Stability of Network Systems With Discontinuous Dynamics Over Signed Digraphs.

Xinli Shi, Jinde Cao, Xinghuo Yu, Guanghui Wen

IEEE Trans. Autom. Control., 2020

Continuous distributed algorithms for solving linear equations in finite time.

Xinli Shi, Xinghuo Yu, Jinde Cao, Guanghui Wen

Autom., 2020

2019

Model Predictive Power Dispatch and Control With Price-Elastic Load in Energy Internet.

Xinli Shi, Guanghui Wen, Jinde Cao, Xinghuo Yu

IEEE Trans. Ind. Informatics, 2019

Finite-Time Consensus of Opinion Dynamics and its Applications to Distributed Optimization Over Digraph.

Xinli Shi, Jinde Cao, Guanghui Wen, Matjaz Perc

IEEE Trans. Cybern., 2019

2018

Distributed Parametric Consensus Optimization With an Application to Model Predictive Consensus Problem.

Xinli Shi, Jinde Cao, Wei Huang

IEEE Trans. Cybern., 2018

2016

Frequency Regulation of Source-Grid-Load Systems: A Compound Control Strategy.

Guanghui Wen, Guoqiang Hu, Jianqiang Hu, Xinli Shi, Guanrong Chen

IEEE Trans. Ind. Informatics, 2016

2015

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

Xinli Shi, Shukai Duan, Lidan Wang, Tingwen Huang, Chuandong Li

Neurocomputing, 2015