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2020 – today
- 2025
[j40]Zhuoxuan Li
, Jinde Cao, Hairuo Shi, Xinli Shi, Tao Ma, Wei Huang:
Roughness prediction of asphalt pavement using FGM(1,1 - sin) model optimized by swarm intelligence and Markov chain. Neural Networks 183: 107000 (2025)- [j39]Luqing Wang, Luyao Guo, Shaofu Yang, Xinli Shi:
Differentially Private Decentralized Optimization With Relay Communication. IEEE Trans. Inf. Forensics Secur. 20: 724-736 (2025) - 2024
- [j38]Fan Zhang, Tianyu Zhu, Xinli Shi, Jinde Cao, Mahmoud A. Abdel-Aty:
Neural relational and dynamics inference for complex systems. Comput. Ind. Eng. 197: 110628 (2024) - [j37]Hanjie Liu, Jinde Cao, Wei Huang, Xinli Shi, Xingye Zhou, Zhuoxuan Li:
A multidimensional framework for asphalt pavement evaluation based on multilayer network representation learning: A case study in RIOHTrack. Expert Syst. Appl. 237(Part A): 121370 (2024) - [j36]Chengye Zhang, Zhuoxuan Li, Jinde Cao, Xinli Shi:
Modeling rutting depth on RIOHTrack asphalt pavement using Circle LSTMs. Expert Syst. Appl. 253: 124184 (2024) - [j35]Xinli Shi, Xiangping Xu, Guanghui Wen, Jinde Cao:
Fixed-Time Gradient Flows for Solving Constrained Optimization: A Unified Approach. IEEE CAA J. Autom. Sinica 11(8): 1849-1864 (2024) - [j34]Jinren Zhang, Jinde Cao, Xinli Shi, Wei Huang, Tao Ma, Xingye Zhou:
Two fractional order cumulative residual time series measures based on Rényi entropy. Inf. Sci. 679: 121098 (2024) - [j33]Luyao Guo, Iakov Korovin, Sergey Gorbachev, Xinli Shi, Nadezhda Gorbacheva, Jinde Cao:
Neurodynamic approaches for multi-agent distributed optimization. Neural Networks 169: 673-684 (2024) - [j32]Tianyu Zhu, Xinli Shi, Xiangping Xu, Jie Gui, Jinde Cao:
HyperComm: Hypergraph-based communication in multi-agent reinforcement learning. Neural Networks 178: 106432 (2024) - [j31]Luyao Guo, Xinli Shi, Shaofu Yang, Jinde Cao:
DISA: A Dual Inexact Splitting Algorithm for Distributed Convex Composite Optimization. IEEE Trans. Autom. Control. 69(5): 2995-3010 (2024) - [j30]Tianyu Zhu, Xinli Shi, Xiangping Xu, Jinde Cao:
Reinforcement Learning for Solving Colored Traveling Salesman Problems: An Entropy-Insensitive Attention Approach. IEEE Trans. Artif. Intell. 5(12): 6699-6708 (2024) - [j29]Yuan Zhou, Xinli Shi, Luyao Guo, Guanghui Wen, Jinde Cao:
A Proximal ADMM-Based Distributed Optimal Energy Management Approach for Smart Grid With Stochastic Wind Power. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2157-2170 (2024) - [j28]Xiangping Xu, Jinde Cao, Xinli Shi, Sergey Gorbachev:
Cumulative Capacitated Colored Traveling Salesman Problem. IEEE Trans. Cybern. 54(8): 4553-4566 (2024) - [j27]Luyao Guo, Xinli Shi, Jinde Cao, Zihao Wang:
Exponential Convergence of Primal-Dual Dynamics Under General Conditions and Its Application to Distributed Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5551-5565 (2024) - [j26]Jing Yan, Xinli Shi, Luyao Guo, Ying Wan, Guanghui Wen:
Distributed Proximal Alternating Direction Method of Multipliers for Constrained Composite Optimization Over Directed Networks. IEEE Trans. Signal Inf. Process. over Networks 10: 539-551 (2024) - 2023
- [j25]Xinli Shi, Guanghui Wen, Xinghuo Yu:
Finite-Time Convergent Algorithms for Time-Varying Distributed Optimization. IEEE Control. Syst. Lett. 7: 3223-3228 (2023) - [j24]Zhuoxuan Li, Iakov Korovin, Xinli Shi, Sergey Gorbachev, Nadezhda Gorbacheva, Wei Huang, Jinde Cao:
A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack. IEEE CAA J. Autom. Sinica 10(10): 1918-1932 (2023) - [j23]Wanjie Zhu, Jinde Cao, Xinli Shi, Leszek Rutkowski:
Leader-following consensus of finite-field networks with time-delays. Inf. Sci. 647: 119486 (2023) - [j22]Jinren Zhang, Jinde Cao, Wei Huang, Xinli Shi, Xingye Zhou:
Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks. Neural Networks 157: 26-38 (2023) - [j21]Tianyu Zhu, Xinli Shi, Xiangping Xu, Jinde Cao:
An accelerated end-to-end method for solving routing problems. Neural Networks 164: 535-545 (2023) - [j20]Zhuoxuan Li, Jinde Cao, Xinli Shi, Wei Huang:
QPSO-AHES-RC: a hybrid learning model for short-term traffic flow prediction. Soft Comput. 27(14): 9347-9366 (2023) - [j19]Zhuoxuan Li, Meng Tao, Jinde Cao, Xinli Shi, Tao Ma, Wei Huang:
An Augmented Model of Rutting Data Based on Radial Basis Neural Network. Symmetry 15(1): 33 (2023) - [j18]Xinli Shi, Guanghui Wen, Jinde Cao, Xinghuo Yu:
Finite-Time Distributed Average Tracking for Multiagent Optimization With Bounded Inputs. IEEE Trans. Autom. Control. 68(8): 4948-4955 (2023) - [j17]Xinli Shi, Xiangping Xu, Jinde Cao, Xinghuo Yu:
Finite-Time Convergent Primal-Dual Gradient Dynamics With Applications to Distributed Optimization. IEEE Trans. Cybern. 53(5): 3240-3252 (2023) - [j16]Chengjia Han, Tao Ma, Linhao Gu, Jinde Cao, Xinli Shi, Wei Huang, Zheng Tong:
Asphalt Pavement Health Prediction Based on Improved Transformer Network. IEEE Trans. Intell. Transp. Syst. 24(4): 4482-4493 (2023) - [j15]Liyan Cheng, Fangcheng Tang, Xinli Shi, Xiangyong Chen, Jianlong Qiu:
Finite-Time and Fixed-Time Synchronization of Delayed Memristive Neural Networks via Adaptive Aperiodically Intermittent Adjustment Strategy. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8516-8530 (2023) - [j14]Luyao Guo, Xinli Shi, Jinde Cao, Zihao Wang:
Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization. IEEE Trans. Signal Process. 71: 786-801 (2023) - [i6]Luyao Guo, Xinli Shi, Jinde Cao, Zihao Wang:
Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization. CoRR abs/2302.03238 (2023) - [i5]Zhuoxuan Li, Iakov Korovin, Xinli Shi, Sergey Gorbachev, Nadezhda Gorbacheva, Wei Huang, Jinde Cao:
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack. CoRR abs/2305.06707 (2023) - [i4]Luyao Guo, Luqing Wang, Xinli Shi, Jinde Cao:
MG-Skip: Random Multi-Gossip Skipping Method for Nonsmooth Distributed Optimization. CoRR abs/2312.11861 (2023) - 2022
- [j13]Hanjie Liu, Jinde Cao, Wei Huang, Xinli Shi, Xudong Wang:
Complex network approach for the evaluation of asphalt pavement design and construction: a longitudinal study. Sci. China Inf. Sci. 65(7): 1-15 (2022) - [j12]Luyao Guo, Xinli Shi, Jinde Cao:
Exponential Convergence of Primal-Dual Dynamical System for Linear Constrained Optimization. IEEE CAA J. Autom. Sinica 9(4): 745-748 (2022) - [j11]Xinli Shi, Xiangping Xu, Jinde Cao:
A collective neurodynamic approach for solving distributed system optimum dynamic traffic assignment problems. Neurocomputing 483: 411-422 (2022) - [j10]Wanjie Zhu, Jinde Cao, Xinli Shi, Leszek Rutkowski:
Synchronization of Finite-Field Networks With Time Delays. IEEE Trans. Netw. Sci. Eng. 9(2): 347-355 (2022) - [c2]Xiaohe Wang, Xinli Shi:
Deep Reinforcement Learning for the Capacitated Vehicle Routing Problem with Soft Time Window. WCSP 2022: 352-355 - [i3]Luyao Guo, Xinli Shi, Shaofu Yang, Jinde Cao:
DISA: A Dual Inexact Splitting Algorithm for Distributed Convex Composite Optimization. CoRR abs/2209.01850 (2022) - [i2]Luyao Guo, Jinde Cao, Xinli Shi, Shaofu Yang:
BALPA: A Balanced Primal-Dual Algorithm for Nonsmooth Optimization with Application to Distributed Optimization. CoRR abs/2212.02835 (2022) - [i1]Luqing Wang, Luyao Guo, Shaofu Yang, Xinli Shi:
Differentially Private Decentralized Optimization with Relay Communication. CoRR abs/2212.10859 (2022) - 2021
- [j9]Wanjie Zhu, Jinde Cao, Xinli Shi, Sergey Gorbachev:
On Set Stability of Finite-Field Networks. IEEE Trans. Circuits Syst. II Express Briefs 68(10): 3311-3315 (2021) - [c1]Wanjie Zhu, Jinde Cao, Xinli Shi:
A Controllability Problem of Finite-Field Networks. ANZCC 2021: 35-38 - 2020
- [j8]Xinli Shi, Xinghuo Yu, Jinde Cao, Guanghui Wen:
Continuous distributed algorithms for solving linear equations in finite time. Autom. 113: 108755 (2020) - [j7]Xinli Shi, Jinde Cao, Xinghuo Yu, Guanghui Wen:
Finite-Time Stability of Network Systems With Discontinuous Dynamics Over Signed Digraphs. IEEE Trans. Autom. Control. 65(11): 4874-4881 (2020) - [j6]Xinli Shi, Jinde Cao, Guanghui Wen, Xinghuo Yu:
Finite-Time Stability for Network Systems With Nonlinear Protocols Over Signed Digraphs. IEEE Trans. Netw. Sci. Eng. 7(3): 1557-1569 (2020)
2010 – 2019
- 2019
- [j5]Xinli Shi, Jinde Cao, Guanghui Wen, Matjaz Perc:
Finite-Time Consensus of Opinion Dynamics and its Applications to Distributed Optimization Over Digraph. IEEE Trans. Cybern. 49(10): 3767-3779 (2019) - [j4]Xinli Shi, Guanghui Wen, Jinde Cao, Xinghuo Yu:
Model Predictive Power Dispatch and Control With Price-Elastic Load in Energy Internet. IEEE Trans. Ind. Informatics 15(3): 1775-1787 (2019) - 2018
- [j3]Xinli Shi, Jinde Cao, Wei Huang:
Distributed Parametric Consensus Optimization With an Application to Model Predictive Consensus Problem. IEEE Trans. Cybern. 48(7): 2024-2035 (2018) - 2016
- [j2]Guanghui Wen, Guoqiang Hu, Jianqiang Hu, Xinli Shi, Guanrong Chen:
Frequency Regulation of Source-Grid-Load Systems: A Compound Control Strategy. IEEE Trans. Ind. Informatics 12(1): 69-78 (2016) - 2015
- [j1]Xinli Shi, Shukai Duan, Lidan Wang, Tingwen Huang, Chuandong Li:
A novel memristive electronic synapse-based Hermite chaotic neural network with application in cryptography. Neurocomputing 166: 487-495 (2015)
Coauthor Index
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