Distributed estimation for parameter in heterogeneous linear time-varying models with observations at network sensors. - Jinlong Lei; Han-Fu Chen (Commun. Inf. Syst., 2015)

Distributed Randomized PageRank Algorithm Based on Stochastic Approximation. - Jinlong Lei; Han-Fu Chen (IEEE Trans. Autom. Control., 2015)

Primal-dual algorithm for distributed constrained optimization. - Jinlong Lei; Han-Fu Chen; Haitao Fang (Syst. Control. Lett., 2016)

A randomized inexact proximal best-response scheme for potential stochastic nash games. - Jinlong Lei; Uday V. Shanbhag (CDC, 2017)

Linearly Convergent Variable Sample-Size Schemes for Stochastic Nash Games: Best-Response Schemes and Distributed Gradient-Response Schemes. - Jinlong Lei; Uday V. Shanbhag (CDC, 2018)

Network Linear Equations with Finite Data Rates. - Jinlong Lei; Peng Yi 001; Guodong Shi; Brian D. O. Anderson (CDC, 2018)

Distributed resource allocation over random networks based on stochastic approximation. - Peng Yi 001; Jinlong Lei; Yiguang Hong (Syst. Control. Lett., 2018)

Asymptotic Properties of Primal-Dual Algorithm for Distributed Stochastic Optimization over Random Networks with Imperfect Communications. - Jinlong Lei; Han-Fu Chen; Haitao Fang (SIAM J. Control. Optim., 2018)

Distributed Computation of Nash Equilibria for Monotone Aggregative Games via Iterative Regularization. - Jinlong Lei; Uday V. Shanbhag; Jie Chen 003 (CDC, 2020)

Projection Consensus for Solving Linear Equations over Random Networks. - Peng Yi 001; Jinlong Lei; Yiguang Hong; Jie Chen 003; Guodong Shi (CDC, 2020)

A Communication-efficient Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. - Jinlong Lei; Peng Yi 001; Jie Chen 003; Yiguang Hong (ECC, 2020)

Online Convex Optimization Over Erdos-Renyi Random Networks. - Jinlong Lei; Peng Yi 001; Yiguang Hong; Jie Chen 003; Guodong Shi (NeurIPS, 2020)

Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. - Jinlong Lei; Peng Yi 001; Jie Chen 003; Yiguang Hong (CoRR, 2020)

Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization. - Jinlong Lei; Uday V. Shanbhag (Oper. Res., 2020)

On Synchronous, Asynchronous, and Randomized Best-Response Schemes for Stochastic Nash Games. - Jinlong Lei; Uday V. Shanbhag; Jong-Shi Pang; Suvrajeet Sen (Math. Oper. Res., 2020)

Distributed Algorithms with Finite Data Rates that Solve Linear Equations. - Jinlong Lei; Peng Yi 001; Guodong Shi; Brian D. O. Anderson (SIAM J. Optim., 2020)

Distributed Stochastic Approximation Algorithm With Expanding Truncations. - Jinlong Lei; Han-Fu Chen (IEEE Trans. Autom. Control., 2020)

No-Regret Distributed Learning in Two-Network Zero-Sum Games. - Shijie Huang; Jinlong Lei; Yiguang Hong; Uday V. Shanbhag (CDC, 2021)

No-regret learning for repeated concave games with lossy bandits. - Wenting Liu; Jinlong Lei; Peng Yi 001 (CDC, 2021)

Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning. - Xiaoxiao Zhao; Jinlong Lei; Li Li 008 (CoRR, 2021)

Distributed coordination for seeking the optimal Nash equilibrium of aggregative games. - Xiaoyu Ma; Jinlong Lei; Peng Yi 001; Jie Chen 003 (CoRR, 2022)

No-Regret Learning in Network Stochastic Zero-Sum Games. - Shijie Huang; Jinlong Lei; Yiguang Hong (CoRR, 2022)

Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes. - Jinlong Lei; Uday V. Shanbhag (Optim. Methods Softw., 2022)

STV-SC: Segmentation and Temporal Verification Enhanced Scan Context for Place Recognition in Unstructured Environment. - Xiaojie Tian; Peng Yi 001; Fu Zhang 002; Jinlong Lei; Yiguang Hong (Sensors, 2022)

Distributed Variable Sample-Size Gradient-Response and Best-Response Schemes for Stochastic Nash Equilibrium Problems. - Jinlong Lei; Uday V. Shanbhag (SIAM J. Optim., 2022)

Distributed Variable Sample-Size Stochastic Optimization With Fixed Step-Sizes. - Jinlong Lei; Peng Yi 001; Jie Chen 003; Yiguang Hong (IEEE Trans. Autom. Control., 2022)

Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs. - Dixiao Wei; Peng Yi 001; Jinlong Lei (CDC, 2023)

Online Parameter Identification of Generalized Non-cooperative Game. - Jianguo Chen; Jinlong Lei; Hongsheng Qi; Yiguang Hong (CoRR, 2023)

Distributed Linear Equations Over Random Networks. - Peng Yi 001; Jinlong Lei; Jie Chen 003; Yiguang Hong; Guodong Shi (IEEE Trans. Autom. Control., 2023)

A Linearly Convergent Distributed Nash Equilibrium Seeking Algorithm for Aggregative Games. - Shijie Huang; Jinlong Lei; Yiguang Hong (IEEE Trans. Autom. Control., 2023)

Dynamical Primal-Dual Nesterov Accelerated Method and Its Application to Network Optimization. - Xianlin Zeng; Jinlong Lei; Jie Chen 003 (IEEE Trans. Autom. Control., 2023)

Effective distributed algorithm for solving linear matrix equations. - Songsong Cheng; Jinlong Lei; Xianlin Zeng; Yuan Fan; Yiguang Hong (Sci. China Inf. Sci., 2023)

Differentially private distributed online mirror descent algorithm. - Meng Yuan; Jinlong Lei; Yiguang Hong (Neurocomputing, 2023)

Heterogeneous Multi-Agent Reinforcement Learning based on Adaptive Curiosity for Traffic Signal Control. - Yue Pan; Jinlong Lei; Peng Yi 001 (ACC, 2024)

Graph-Based Deep Reinforcement Learning Approach for Alliance Formation Game based Robot Swarm Task Assignment. - Yang Lv; Jinlong Lei; Peng Yi 001 (CDC, 2024)

A Semi-Decentralized and Variational-Equilibrium-Based Trajectory Planner for Connected and Autonomous Vehicles. - Zhengqin Liu; Jinlong Lei; Peng Yi 001 (ITSC, 2024)

Distributed Fractional Bayesian Learning for Adaptive Optimization. - Yaqun Yang; Jinlong Lei; Guanghui Wen; Yiguang Hong (CoRR, 2024)

Rate Analysis of Coupled Distributed Stochastic Approximation for Misspecified Optimization. - Yaqun Yang; Jinlong Lei (CoRR, 2024)

A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation. - Yang Lv; Jinlong Lei; Peng Yi 001 (CoRR, 2024)

Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-regulation over Large-scale Transportation Networks. - Dixiao Wei; Peng Yi 001; Jinlong Lei; Xingyi Zhu (CoRR, 2024)

No-regret learning for repeated non-cooperative games with lossy bandits. - Wenting Liu; Jinlong Lei; Peng Yi 001; Yiguang Hong (Autom., 2024)

No-Regret Distributed Learning in Subnetwork Zero-Sum Games. - Shijie Huang; Jinlong Lei; Yiguang Hong; Uday V. Shanbhag; Jie Chen 003 (IEEE Trans. Autom. Control., 2024)

Analysis of coupled distributed stochastic approximation for misspecified optimization. - Yaqun Yang; Jinlong Lei (Neurocomputing, 2025)

Variance-Reduced Accelerated First-Order Methods: Central Limit Theorems and Confidence Statements. - Jinlong Lei; Uday V. Shanbhag (Math. Oper. Res., 2025)

A distributed Tikhonov-regularization algorithm for optimal Nash equilibrium computation in aggregative games. - Xiaoyu Ma; Jinlong Lei; Peng Yi 001 (Syst. Control. Lett., 2025)

A Stackelberg Game Framework for Energy Internet System by Operator Approach. - Yue Chen 003; Peng Yi 001; Jinlong Lei; Xiangjun Li (IEEE Trans. Netw. Sci. Eng., 2025)

An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination. - Dixiao Wei; Peng Yi 001; Jinlong Lei; Yiguang Hong; Yuchuan Du (CoRR, 2025)

HGFormer: A Hierarchical Graph Transformer Framework for Two-Stage Colonel Blotto Games via Reinforcement Learning. - Yang Lv; Jinlong Lei; Peng Yi (CoRR, 2025)

A Local Information Aggregation-Based Multiagent Reinforcement Learning for Robot Swarm Dynamic Task Allocation. - Yang Lv; Jinlong Lei; Peng Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

An interaction-fair semi-decentralized trajectory planner for connected and autonomous vehicles. - Zhengqin Liu; Jinlong Lei; Peng Yi 001; Yiguang Hong (Auton. Intell. Syst., 2025)