A novel memristive electronic synapse-based Hermite chaotic neural network with application in cryptography. - Xinli Shi; Shukai Duan 001; Lidan Wang 001; Tingwen Huang; Chuandong Li 001 (Neurocomputing, 2015)

Frequency Regulation of Source-Grid-Load Systems: A Compound Control Strategy. - Guanghui Wen; Guoqiang Hu 001; Jianqiang Hu; Xinli Shi; Guanrong Chen (IEEE Trans. Ind. Informatics, 2016)

Distributed Parametric Consensus Optimization With an Application to Model Predictive Consensus Problem. - Xinli Shi; Jinde Cao; Wei Huang 017 (IEEE Trans. Cybern., 2018)

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)

Model Predictive Power Dispatch and Control With Price-Elastic Load in Energy Internet. - Xinli Shi; Guanghui Wen; Jinde Cao; Xinghuo Yu 001 (IEEE Trans. Ind. Informatics, 2019)

Continuous distributed algorithms for solving linear equations in finite time. - Xinli Shi; Xinghuo Yu 001; Jinde Cao; Guanghui Wen (Autom., 2020)

Finite-Time Stability of Network Systems With Discontinuous Dynamics Over Signed Digraphs. - Xinli Shi; Jinde Cao; Xinghuo Yu 001; Guanghui Wen (IEEE Trans. Autom. Control., 2020)

Finite-Time Stability for Network Systems With Nonlinear Protocols Over Signed Digraphs. - Xinli Shi; Jinde Cao; Guanghui Wen; Xinghuo Yu 001 (IEEE Trans. Netw. Sci. Eng., 2020)

A Controllability Problem of Finite-Field Networks. - Wanjie Zhu; Jinde Cao; Xinli Shi (ANZCC, 2021)

On Set Stability of Finite-Field Networks. - Wanjie Zhu; Jinde Cao; Xinli Shi; Sergey Gorbachev (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Deep Reinforcement Learning for the Capacitated Vehicle Routing Problem with Soft Time Window. - Xiaohe Wang; Xinli Shi (WCSP, 2022)

Complex network approach for the evaluation of asphalt pavement design and construction: a longitudinal study. - Hanjie Liu; Jinde Cao; Wei Huang 017; Xinli Shi; Xudong Wang (Sci. China Inf. Sci., 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)

Exponential Convergence of Primal-Dual Dynamical System for Linear Constrained Optimization. - Luyao Guo; Xinli Shi; Jinde Cao (IEEE CAA J. Autom. Sinica, 2022)

A collective neurodynamic approach for solving distributed system optimum dynamic traffic assignment problems. - Xinli Shi; Xiangping Xu; Jinde Cao (Neurocomputing, 2022)

Synchronization of Finite-Field Networks With Time Delays. - Wanjie Zhu; Jinde Cao; Xinli Shi; Leszek Rutkowski (IEEE Trans. Netw. Sci. Eng., 2022)

MG-Skip: Random Multi-Gossip Skipping Method for Nonsmooth Distributed Optimization. - Luyao Guo; Luqing Wang; Xinli Shi; Jinde Cao (CoRR, 2023)

Finite-Time Convergent Algorithms for Time-Varying Distributed Optimization. - Xinli Shi; Guanghui Wen; Xinghuo Yu 001 (IEEE Control. Syst. Lett., 2023)

Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks. - Jinren Zhang; Jinde Cao; Wei Huang 017; Xinli Shi; Xingye Zhou (Neural Networks, 2023)

An Augmented Model of Rutting Data Based on Radial Basis Neural Network. - Zhuoxuan Li 001; Meng Tao; Jinde Cao; Xinli Shi; Tao Ma 001; Wei Huang 017 (Symmetry, 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)

Asphalt Pavement Health Prediction Based on Improved Transformer Network. - Chengjia Han; Tao Ma 001; Linhao Gu; Jinde Cao; Xinli Shi; Wei Huang 017; Zheng Tong (IEEE Trans. Intell. Transp. Syst., 2023)

Finite-Time Convergent Primal-Dual Gradient Dynamics With Applications to Distributed Optimization. - Xinli Shi; Xiangping Xu; Jinde Cao; Xinghuo Yu 001 (IEEE Trans. Cybern., 2023)

An accelerated end-to-end method for solving routing problems. - Tianyu Zhu; Xinli Shi; Xiangping Xu; Jinde Cao (Neural Networks, 2023)

QPSO-AHES-RC: a hybrid learning model for short-term traffic flow prediction. - Zhuoxuan Li 001; Jinde Cao; Xinli Shi; Wei Huang 017 (Soft Comput., 2023)

Finite-Time Distributed Average Tracking for Multiagent Optimization With Bounded Inputs. - Xinli Shi; Guanghui Wen; Jinde Cao; Xinghuo Yu 001 (IEEE Trans. Autom. Control., 2023)

A Data-Driven Rutting Depth Short-Time Prediction Model with Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack. - Zhuoxuan Li 001; Iakov Korovin; Xinli Shi; Sergey Gorbachev; Nadezhda Gorbacheva; Wei Huang 017; Jinde Cao (IEEE CAA J. Autom. Sinica, 2023)

Leader-following consensus of finite-field networks with time-delays. - Wanjie Zhu; Jinde Cao; Xinli Shi; Leszek Rutkowski (Inf. Sci., 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., 2023)

Neural relational and dynamics inference for complex systems. - Fan Zhang; Tianyu Zhu; Xinli Shi; Jinde Cao; Mahmoud A. Abdel-Aty (Comput. Ind. Eng., 2024)

Modeling rutting depth on RIOHTrack asphalt pavement using Circle LSTMs. - Chengye Zhang; Zhuoxuan Li 001; Jinde Cao; Xinli Shi (Expert Syst. Appl., 2024)

Two fractional order cumulative residual time series measures based on Rényi entropy. - Jinren Zhang; Jinde Cao; Xinli Shi; Wei Huang 017; Tao Ma 001; Xingye Zhou (Inf. Sci., 2024)

HyperComm: Hypergraph-based communication in multi-agent reinforcement learning. - Tianyu Zhu; Xinli Shi; Xiangping Xu; Jie Gui; Jinde Cao (Neural Networks, 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)

Neurodynamic approaches for multi-agent distributed optimization. - Luyao Guo; Iakov Korovin; Sergey Gorbachev; Xinli Shi; Nadezhda Gorbacheva; Jinde Cao (Neural Networks, 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 017; Xinli Shi; Xingye Zhou; Zhuoxuan Li 001 (Expert Syst. Appl., 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., 2024)

DISA: A Dual Inexact Splitting Algorithm for Distributed Convex Composite Optimization. - Luyao Guo; Xinli Shi; Shaofu Yang; Jinde Cao (IEEE Trans. Autom. Control., 2024)

A Proximal ADMM-Based Distributed Optimal Energy Management Approach for Smart Grid With Stochastic Wind Power. - Yuan Zhou 015; Xinli Shi; Luyao Guo; Guanghui Wen; Jinde Cao (IEEE Trans. Circuits Syst. I Regul. Pap., 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, 2024)

Cumulative Capacitated Colored Traveling Salesman Problem. - Xiangping Xu; Jinde Cao; Xinli Shi; Sergey Gorbachev (IEEE Trans. Cybern., 2024)

Reinforcement Learning for Solving Colored Traveling Salesman Problems: An Entropy-Insensitive Attention Approach. - Tianyu Zhu; Xinli Shi; Xiangping Xu; Jinde Cao (IEEE Trans. Artif. Intell., 2024)

Roughness prediction of asphalt pavement using FGM(1,1 - sin) model optimized by swarm intelligence and Markov chain. - Zhuoxuan Li 001; Jinde Cao; Hairuo Shi; Xinli Shi; Tao Ma 001; Wei Huang 017 (Neural Networks, 2025)

Capacitated Colored Traveling Salesman Problem With Time Windows. - Xiangping Xu; Xinli Shi; Jinde Cao; Wei Huang 017 (IEEE Trans Autom. Sci. Eng., 2025)

Improving Fast Adversarial Training via Self-Knowledge Guidance. - Chengze Jiang; Junkai Wang; Minjing Dong; Jie Gui; Xinli Shi; Yuan Cao 005; Yuan Yan Tang; James Tin-Yau Kwok (IEEE Trans. Inf. Forensics Secur., 2025)

ColorVein: Colorful Cancelable Vein Biometrics. - Yifan Wang; Jie Gui; Xinli Shi; Linqing Gui; Yuan Yan Tang; James Tin-Yau Kwok (IEEE Trans. Inf. Forensics Secur., 2025)

Differentially Private Decentralized Optimization With Relay Communication. - Luqing Wang; Luyao Guo; Shaofu Yang; Xinli Shi (IEEE Trans. Inf. Forensics Secur., 2025)

Event-Triggered Zero-Gradient-Sum Distributed Constrained Optimization Over Jointly Connected Balanced Digraphs. - Xinli Shi; Ying Wan; Guanghui Wen; Xinghuo Yu 001 (IEEE Trans. Netw. Sci. Eng., 2025)

A Linearly Convergent Quantized Stochastic Gradient Tracking Method With Variance Reduction. - Longkang Zhu; Xinli Shi; Jie Gui; Jinde Cao; Mahmoud A. Abdel-Aty (IEEE Trans. Netw. Sci. Eng., 2025)

A Distributed Proximal Alternating Direction Multiplier Method for Multiblock Nonsmooth Composite Optimization. - Yuan Zhou 015; Luyao Guo; Xinli Shi; Jinde Cao (IEEE Trans. Control. Netw. Syst., 2025)

Quantum Distributed Event-Triggered Frequency Control for AC Microgrids Under FDIAs. - Jin Meng; Jianqiang Hu; Xinli Shi; Josep M. Guerrero; Jinde Cao (IEEE Trans. Smart Grid, 2025)

FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data. - Yuan Zhou 027; Jiachen Zhong; Xinli Shi; Guanghui Wen; Xinghuo Yu 001 (CoRR, 2025)

Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum. - Yuan Zhou 015; Xinli Shi; Xuelong Li; Jiachen Zhong; Guanghui Wen; Jinde Cao (CoRR, 2025)

Extended Zero-Gradient-Sum Approach for Constrained Distributed Optimization With Free Initialization. - Xinli Shi; Xinghuo Yu 001; Guanghui Wen; Xiangping Xu (IEEE Trans. Syst. Man Cybern. Syst., 2025)