Jinlong Lei - RankMe

66 papers A* 1C 1Journal 52Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Fractional Bayesian Learning for Adaptive Optimization. IEEE Trans. Autom. Control. Yaqun Yang, Jinlong Lei, Guanghui Wen, Yiguang Hong
2026	J	`jnl`	Distributed Riemannian stochastic gradient tracking algorithm on the Stiefel manifold. Autom. Jishu Zhao, Xi Wang, Jinlong Lei
2026	J	`jnl`	Distributed Stochastic Frank-Wolfe Algorithms With Zeroth and First-Order Variance Reduction for Aggregative Optimization. IEEE Trans. Autom. Control. Liyuan Chen, Guanghui Wen, Jinlong Lei, Yiguang Hong
2026	J	`jnl`	Online Parameter Identification of Cost Functions in Generalized Nash Games. IEEE Trans. Autom. Control. Jianguo Chen, Jinlong Lei, Yiguang Hong, Hongsheng Qi
2025	J	`jnl`	A Compressed Gradient Tracking Method for Distributed Aggregative Optimization. J. Syst. Sci. Complex. Tongyu Wang, Jinlong Lei
2025	J	`jnl`	A Local Information Aggregation-Based Multiagent Reinforcement Learning for Robot Swarm Dynamic Task Allocation. IEEE Trans. Neural Networks Learn. Syst. Yang Lv, Jinlong Lei, Peng Yi
2025	J	`jnl`	A Stackelberg Game Framework for Energy Internet System by Operator Approach. IEEE Trans. Netw. Sci. Eng. Yue Chen, Peng Yi, Jinlong Lei, Xiangjun Li
2025	J	`jnl`	A distributed Tikhonov-regularization algorithm for optimal Nash equilibrium computation in aggregative games. Syst. Control. Lett. Xiaoyu Ma, Jinlong Lei, Peng Yi
2025	J	`jnl`	Active Inverse Methods in Stackelberg Games with Bounded Rationality. CoRR Jianguo Chen, Jinlong Lei, Biqiang Mu, Yiguang Hong, Hongsheng Qi
2025	J	`jnl`	An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination. CoRR Dixiao Wei, Peng Yi, Jinlong Lei, Yiguang Hong, Yuchuan Du
2025	J	`jnl`	An interaction-fair semi-decentralized trajectory planner for connected and autonomous vehicles. Auton. Intell. Syst. Zhengqin Liu, Jinlong Lei, Peng Yi, Yiguang Hong
2025	J	`jnl`	Analysis of coupled distributed stochastic approximation for misspecified optimization. Neurocomputing Yaqun Yang, Jinlong Lei
2025	J	`jnl`	Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning. J. Syst. Sci. Complex. Xiaoxiao Zhao, Jinlong Lei, Li Li, Lucian Busoniu, Jia Xu
2025	J	`jnl`	Distributed Stochastic Proximal Algorithm on Riemannian Submanifolds for Weakly-convex Functions. CoRR Jishu Zhao, Xi Wang, Jinlong Lei, Shixiang Chen
2025	J	`jnl`	Embodied Intelligent Game: Models and Algorithms for Autonomous Interactions Among Heterogeneous Agents. Unmanned Syst. Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen
2025	J	`jnl`	HGFormer: A Hierarchical Graph Transformer Framework for Two-Stage Colonel Blotto Games via Reinforcement Learning. CoRR Yang Lv, Jinlong Lei, Peng Yi
2025	J	`jnl`	Hypergame-based Cognition Modeling and Intention Interpretation for Human-Driven Vehicles in Connected Mixed Traffic. CoRR Jianguo Chen, Zhengqin Liu, Jinlong Lei, Peng Yi, Yiguang Hong, Hong Chen
2025	J	`jnl`	Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-Regulation Over Large-Scale Transportation Networks. IEEE Trans. Intell. Transp. Syst. Dixiao Wei, Peng Yi, Jinlong Lei, Xingyi Zhu
2025	—	`conf`	Online bandit non-cooperative games with arbitrary delays. CDC Wenting Liu, Jinlong Lei, Peng Yi, Lacra Pavel, Xiaoming Hu
2025	J	`jnl`	Toward Cooperative Driving Among Heterogeneous CAVs: A Safe Multi-Agent Reinforcement Learning Approach. IEEE Trans. Intell. Veh. Yue Pan, Jinlong Lei, Peng Yi, Lulu Guo, Hong Chen
2025	J	`jnl`	Variance-Reduced Accelerated First-Order Methods: Central Limit Theorems and Confidence Statements. Math. Oper. Res. Jinlong Lei, Uday V. Shanbhag
2024	J	`jnl`	A Local Information Aggregation based Multi-Agent Reinforcement Learning for Robot Swarm Dynamic Task Allocation. CoRR Yang Lv, Jinlong Lei, Peng Yi
2024	—	`conf`	A Semi-Decentralized and Variational-Equilibrium-Based Trajectory Planner for Connected and Autonomous Vehicles. ITSC Zhengqin Liu, Jinlong Lei, Peng Yi
2024	J	`jnl`	A Semi-decentralized and Variational-Equilibrium-Based Trajectory Planner for Connected and Autonomous Vehicles. CoRR Zhengqin Liu, Jinlong Lei, Peng Yi
2024	J	`jnl`	Distributed Fractional Bayesian Learning for Adaptive Optimization. CoRR Yaqun Yang, Jinlong Lei, Guanghui Wen, Yiguang Hong
2024	—	`conf`	Graph-Based Deep Reinforcement Learning Approach for Alliance Formation Game based Robot Swarm Task Assignment. CDC Yang Lv, Jinlong Lei, Peng Yi
2024	C	`conf`	Heterogeneous Multi-Agent Reinforcement Learning based on Adaptive Curiosity for Traffic Signal Control. ACC Yue Pan, Jinlong Lei, Peng Yi
2024	J	`jnl`	Multi-Agent Deep Reinforcement Learning for Distributed and Autonomous Platoon Coordination via Speed-regulation over Large-scale Transportation Networks. CoRR Dixiao Wei, Peng Yi, Jinlong Lei, Xingyi Zhu
2024	J	`jnl`	No-Regret Distributed Learning in Subnetwork Zero-Sum Games. IEEE Trans. Autom. Control. Shijie Huang, Jinlong Lei, Yiguang Hong, Uday V. Shanbhag, Jie Chen
2024	J	`jnl`	No-regret learning for repeated non-cooperative games with lossy bandits. Autom. Wenting Liu, Jinlong Lei, Peng Yi, Yiguang Hong
2024	J	`jnl`	Rate Analysis of Coupled Distributed Stochastic Approximation for Misspecified Optimization. CoRR Yaqun Yang, Jinlong Lei
2023	J	`jnl`	A Linearly Convergent Distributed Nash Equilibrium Seeking Algorithm for Aggregative Games. IEEE Trans. Autom. Control. Shijie Huang, Jinlong Lei, Yiguang Hong
2023	J	`jnl`	Differentially private distributed online mirror descent algorithm. Neurocomputing Meng Yuan, Jinlong Lei, Yiguang Hong
2023	J	`jnl`	Distributed Linear Equations Over Random Networks. IEEE Trans. Autom. Control. Peng Yi, Jinlong Lei, Jie Chen, Yiguang Hong, Guodong Shi
2023	J	`jnl`	Dynamical Primal-Dual Nesterov Accelerated Method and Its Application to Network Optimization. IEEE Trans. Autom. Control. Xianlin Zeng, Jinlong Lei, Jie Chen
2023	J	`jnl`	Effective distributed algorithm for solving linear matrix equations. Sci. China Inf. Sci. Songsong Cheng, Jinlong Lei, Xianlin Zeng, Yuan Fan, Yiguang Hong
2023	—	`conf`	Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs. CDC Dixiao Wei, Peng Yi, Jinlong Lei
2023	J	`jnl`	Online Parameter Identification of Generalized Non-cooperative Game. CoRR Jianguo Chen, Jinlong Lei, Hongsheng Qi, Yiguang Hong
2022	J	`jnl`	Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes. Optim. Methods Softw. Jinlong Lei, Uday V. Shanbhag
2022	J	`jnl`	Distributed Variable Sample-Size Gradient-Response and Best-Response Schemes for Stochastic Nash Equilibrium Problems. SIAM J. Optim. Jinlong Lei, Uday V. Shanbhag
2022	J	`jnl`	Distributed Variable Sample-Size Stochastic Optimization With Fixed Step-Sizes. IEEE Trans. Autom. Control. Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong
2022	J	`jnl`	Distributed coordination for seeking the optimal Nash equilibrium of aggregative games. CoRR Xiaoyu Ma, Jinlong Lei, Peng Yi, Jie Chen
2022	J	`jnl`	No-Regret Learning in Network Stochastic Zero-Sum Games. CoRR Shijie Huang, Jinlong Lei, Yiguang Hong
2022	J	`jnl`	No-regret learning for repeated non-cooperative games with lossy bandits. CoRR Wenting Liu, Jinlong Lei, Peng Yi, Yiguang Hong
2022	J	`jnl`	STV-SC: Segmentation and Temporal Verification Enhanced Scan Context for Place Recognition in Unstructured Environment. Sensors Xiaojie Tian, Peng Yi, Fu Zhang, Jinlong Lei, Yiguang Hong
2021	J	`jnl`	Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning. CoRR Xiaoxiao Zhao, Jinlong Lei, Li Li
2021	—	`conf`	No-Regret Distributed Learning in Two-Network Zero-Sum Games. CDC Shijie Huang, Jinlong Lei, Yiguang Hong, Uday V. Shanbhag
2021	—	`conf`	No-regret learning for repeated concave games with lossy bandits. CDC Wenting Liu, Jinlong Lei, Peng Yi
2020	—	`conf`	A Communication-efficient Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. ECC Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong
2020	J	`jnl`	Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization. Oper. Res. Jinlong Lei, Uday V. Shanbhag
2020	J	`jnl`	Distributed Algorithms with Finite Data Rates that Solve Linear Equations. SIAM J. Optim. Jinlong Lei, Peng Yi, Guodong Shi, Brian D. O. Anderson
2020	—	`conf`	Distributed Computation of Nash Equilibria for Monotone Aggregative Games via Iterative Regularization. CDC Jinlong Lei, Uday V. Shanbhag, Jie Chen
2020	J	`jnl`	Distributed Linear Equations over Random Networks. CoRR Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen, Guodong Shi
2020	J	`jnl`	Distributed Stochastic Approximation Algorithm With Expanding Truncations. IEEE Trans. Autom. Control. Jinlong Lei, Han-Fu Chen
2020	J	`jnl`	Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. CoRR Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong
2020	J	`jnl`	On Synchronous, Asynchronous, and Randomized Best-Response Schemes for Stochastic Nash Games. Math. Oper. Res. Jinlong Lei, Uday V. Shanbhag, Jong-Shi Pang, Suvrajeet Sen
2020	A*	`conf`	Online Convex Optimization Over Erdos-Renyi Random Networks. NeurIPS Jinlong Lei, Peng Yi, Yiguang Hong, Jie Chen, Guodong Shi
2020	—	`conf`	Projection Consensus for Solving Linear Equations over Random Networks. CDC Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen, Guodong Shi
2018	J	`jnl`	Asymptotic Properties of Primal-Dual Algorithm for Distributed Stochastic Optimization over Random Networks with Imperfect Communications. SIAM J. Control. Optim. Jinlong Lei, Han-Fu Chen, Haitao Fang
2018	J	`jnl`	Distributed resource allocation over random networks based on stochastic approximation. Syst. Control. Lett. Peng Yi, Jinlong Lei, Yiguang Hong
2018	—	`conf`	Linearly Convergent Variable Sample-Size Schemes for Stochastic Nash Games: Best-Response Schemes and Distributed Gradient-Response Schemes. CDC Jinlong Lei, Uday V. Shanbhag
2018	—	`conf`	Network Linear Equations with Finite Data Rates. CDC Jinlong Lei, Peng Yi, Guodong Shi, Brian D. O. Anderson
2017	—	`conf`	A randomized inexact proximal best-response scheme for potential stochastic nash games. CDC Jinlong Lei, Uday V. Shanbhag
2016	J	`jnl`	Primal-dual algorithm for distributed constrained optimization. Syst. Control. Lett. Jinlong Lei, Han-Fu Chen, Haitao Fang
2015	J	`jnl`	Distributed Randomized PageRank Algorithm Based on Stochastic Approximation. IEEE Trans. Autom. Control. Jinlong Lei, Han-Fu Chen
2015	J	`jnl`	Distributed estimation for parameter in heterogeneous linear time-varying models with observations at network sensors. Commun. Inf. Syst. Jinlong Lei, Han-Fu Chen