Jinlong Lei

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Cooperative Games

Variance Reduction

Reinforcement Learning

Stochastic Optimization

Top Venues

IEEE Trans. Autom. Control.

Publications

Wenting Liu, Jinlong Lei, Peng Yi, Yiguang Hong
No-regret learning for repeated non-cooperative games with lossy bandits. Autom. 160 (2024)
Yaqun Yang, Jinlong Lei, Guanghui Wen, Yiguang Hong
Distributed Fractional Bayesian Learning for Adaptive Optimization. CoRR (2024)
Yaqun Yang, Jinlong Lei
Rate Analysis of Coupled Distributed Stochastic Approximation for Misspecified Optimization. CoRR (2024)
Songsong Cheng, Jinlong Lei, Xianlin Zeng, Yuan Fan, Yiguang Hong
Effective distributed algorithm for solving linear matrix equations. Sci. China Inf. Sci. 66 (8) (2023)
Jianguo Chen, Jinlong Lei, Hongsheng Qi, Yiguang Hong
Online Parameter Identification of Generalized Non-cooperative Game. CoRR (2023)
Xianlin Zeng, Jinlong Lei, Jie Chen
Dynamical Primal-Dual Nesterov Accelerated Method and Its Application to Network Optimization. IEEE Trans. Autom. Control. 68 (3) (2023)
Peng Yi, Jinlong Lei, Jie Chen, Yiguang Hong, Guodong Shi
Distributed Linear Equations Over Random Networks. IEEE Trans. Autom. Control. 68 (4) (2023)
Meng Yuan, Jinlong Lei, Yiguang Hong
Differentially private distributed online mirror descent algorithm. Neurocomputing 551 (2023)
Dixiao Wei, Peng Yi, Jinlong Lei
Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs. CDC (2023)
Shijie Huang, Jinlong Lei, Yiguang Hong
A Linearly Convergent Distributed Nash Equilibrium Seeking Algorithm for Aggregative Games. IEEE Trans. Autom. Control. 68 (3) (2023)
Wenting Liu, Jinlong Lei, Peng Yi, Yiguang Hong
No-regret learning for repeated non-cooperative games with lossy bandits. CoRR (2022)
Shijie Huang, Jinlong Lei, Yiguang Hong
No-Regret Learning in Network Stochastic Zero-Sum Games. CoRR (2022)
Jinlong Lei, Uday V. Shanbhag
Distributed Variable Sample-Size Gradient-Response and Best-Response Schemes for Stochastic Nash Equilibrium Problems. SIAM J. Optim. 32 (2) (2022)
Xiaojie Tian, Peng Yi, Fu Zhang, Jinlong Lei, Yiguang Hong
STV-SC: Segmentation and Temporal Verification Enhanced Scan Context for Place Recognition in Unstructured Environment. Sensors 22 (22) (2022)
Xiaoyu Ma, Jinlong Lei, Peng Yi, Jie Chen
Distributed coordination for seeking the optimal Nash equilibrium of aggregative games. CoRR (2022)
Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong
Distributed Variable Sample-Size Stochastic Optimization With Fixed Step-Sizes. IEEE Trans. Autom. Control. 67 (10) (2022)
Jinlong Lei, Uday V. Shanbhag
Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes. Optim. Methods Softw. 37 (1) (2022)
Xiaoxiao Zhao, Jinlong Lei, Li Li
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning. CoRR (2021)
Wenting Liu, Jinlong Lei, Peng Yi
No-regret learning for repeated concave games with lossy bandits. CDC (2021)
Shijie Huang, Jinlong Lei, Yiguang Hong, Uday V. Shanbhag
No-Regret Distributed Learning in Two-Network Zero-Sum Games. CDC (2021)
Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen, Guodong Shi
Projection Consensus for Solving Linear Equations over Random Networks. CDC (2020)
Jinlong Lei, Peng Yi, Guodong Shi, Brian D. O. Anderson
Distributed Algorithms with Finite Data Rates that Solve Linear Equations. SIAM J. Optim. 30 (2) (2020)
Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong
A Communication-efficient Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. ECC (2020)
Jinlong Lei, Uday V. Shanbhag, Jong-Shi Pang, Suvrajeet Sen
On Synchronous, Asynchronous, and Randomized Best-Response Schemes for Stochastic Nash Games. Math. Oper. Res. 45 (1) (2020)
Jinlong Lei, Peng Yi, Yiguang Hong, Jie Chen, Guodong Shi
Online Convex Optimization Over Erdos-Renyi Random Networks. NeurIPS (2020)
Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong
Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. CoRR (2020)
Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen, Guodong Shi
Distributed Linear Equations over Random Networks. CoRR (2020)
Jinlong Lei, Uday V. Shanbhag, Jie Chen
Distributed Computation of Nash Equilibria for Monotone Aggregative Games via Iterative Regularization. CDC (2020)
Jinlong Lei, Uday V. Shanbhag
Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization. Oper. Res. 68 (6) (2020)
Jinlong Lei, Han-Fu Chen
Distributed Stochastic Approximation Algorithm With Expanding Truncations. IEEE Trans. Autom. Control. 65 (2) (2020)
Peng Yi, Jinlong Lei, Yiguang Hong
Distributed resource allocation over random networks based on stochastic approximation. Syst. Control. Lett. 114 (2018)
Jinlong Lei, Uday V. Shanbhag
Linearly Convergent Variable Sample-Size Schemes for Stochastic Nash Games: Best-Response Schemes and Distributed Gradient-Response Schemes. CDC (2018)
Jinlong Lei, Peng Yi, Guodong Shi, Brian D. O. Anderson
Network Linear Equations with Finite Data Rates. CDC (2018)
Jinlong Lei, Han-Fu Chen, Haitao Fang
Asymptotic Properties of Primal-Dual Algorithm for Distributed Stochastic Optimization over Random Networks with Imperfect Communications. SIAM J. Control. Optim. 56 (3) (2018)
Jinlong Lei, Uday V. Shanbhag
A randomized inexact proximal best-response scheme for potential stochastic nash games. CDC (2017)
Jinlong Lei, Han-Fu Chen, Haitao Fang
Primal-dual algorithm for distributed constrained optimization. Syst. Control. Lett. 96 (2016)
Jinlong Lei, Han-Fu Chen
Distributed Randomized PageRank Algorithm Based on Stochastic Approximation. IEEE Trans. Autom. Control. 60 (6) (2015)
Jinlong Lei, Han-Fu Chen
Distributed estimation for parameter in heterogeneous linear time-varying models with observations at network sensors. Commun. Inf. Syst. 15 (4) (2015)