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Jinlong Lei
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2020 – today
- 2024
- [j20]Wenting Liu, Jinlong Lei, Peng Yi, Yiguang Hong:
No-regret learning for repeated non-cooperative games with lossy bandits. Autom. 160: 111455 (2024) - [j19]Shijie Huang, Jinlong Lei, Yiguang Hong, Uday V. Shanbhag, Jie Chen:
No-Regret Distributed Learning in Subnetwork Zero-Sum Games. IEEE Trans. Autom. Control. 69(10): 6620-6635 (2024) - [c11]Yue Pan, Jinlong Lei, Peng Yi:
Heterogeneous Multi-Agent Reinforcement Learning based on Adaptive Curiosity for Traffic Signal Control. ACC 2024: 239-244 - [i9]Yaqun Yang, Jinlong Lei, Guanghui Wen, Yiguang Hong:
Distributed Fractional Bayesian Learning for Adaptive Optimization. CoRR abs/2404.11354 (2024) - [i8]Yaqun Yang, Jinlong Lei:
Rate Analysis of Coupled Distributed Stochastic Approximation for Misspecified Optimization. CoRR abs/2404.13669 (2024) - 2023
- [j18]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) - [j17]Meng Yuan, Jinlong Lei, Yiguang Hong:
Differentially private distributed online mirror descent algorithm. Neurocomputing 551: 126531 (2023) - [j16]Shijie Huang, Jinlong Lei, Yiguang Hong:
A Linearly Convergent Distributed Nash Equilibrium Seeking Algorithm for Aggregative Games. IEEE Trans. Autom. Control. 68(3): 1753-1759 (2023) - [j15]Xianlin Zeng, Jinlong Lei, Jie Chen:
Dynamical Primal-Dual Nesterov Accelerated Method and Its Application to Network Optimization. IEEE Trans. Autom. Control. 68(3): 1760-1767 (2023) - [j14]Peng Yi, Jinlong Lei, Jie Chen, Yiguang Hong, Guodong Shi:
Distributed Linear Equations Over Random Networks. IEEE Trans. Autom. Control. 68(4): 2607-2614 (2023) - [c10]Dixiao Wei, Peng Yi, Jinlong Lei:
Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs. CDC 2023: 6242-6248 - [i7]Jianguo Chen, Jinlong Lei, Hongsheng Qi, Yiguang Hong:
Online Parameter Identification of Generalized Non-cooperative Game. CoRR abs/2310.09511 (2023) - 2022
- [j13]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): 264-294 (2022) - [j12]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): 8604 (2022) - [j11]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): 573-603 (2022) - [j10]Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong:
Distributed Variable Sample-Size Stochastic Optimization With Fixed Step-Sizes. IEEE Trans. Autom. Control. 67(10): 5630-5637 (2022) - [i6]Wenting Liu, Jinlong Lei, Peng Yi, Yiguang Hong:
No-regret learning for repeated non-cooperative games with lossy bandits. CoRR abs/2205.06968 (2022) - [i5]Xiaoyu Ma, Jinlong Lei, Peng Yi, Jie Chen:
Distributed coordination for seeking the optimal Nash equilibrium of aggregative games. CoRR abs/2205.06979 (2022) - [i4]Shijie Huang, Jinlong Lei, Yiguang Hong:
No-Regret Learning in Network Stochastic Zero-Sum Games. CoRR abs/2205.14662 (2022) - 2021
- [c9]Shijie Huang, Jinlong Lei, Yiguang Hong, Uday V. Shanbhag:
No-Regret Distributed Learning in Two-Network Zero-Sum Games. CDC 2021: 924-929 - [c8]Wenting Liu, Jinlong Lei, Peng Yi:
No-regret learning for repeated concave games with lossy bandits. CDC 2021: 936-941 - [i3]Xiaoxiao Zhao, Jinlong Lei, Li Li:
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning. CoRR abs/2111.12961 (2021) - 2020
- [j9]Jinlong Lei, Uday V. Shanbhag:
Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization. Oper. Res. 68(6): 1742-1766 (2020) - [j8]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): 157-190 (2020) - [j7]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): 1191-1222 (2020) - [j6]Jinlong Lei, Han-Fu Chen:
Distributed Stochastic Approximation Algorithm With Expanding Truncations. IEEE Trans. Autom. Control. 65(2): 664-679 (2020) - [c7]Jinlong Lei, Uday V. Shanbhag, Jie Chen:
Distributed Computation of Nash Equilibria for Monotone Aggregative Games via Iterative Regularization. CDC 2020: 2285-2290 - [c6]Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen, Guodong Shi:
Projection Consensus for Solving Linear Equations over Random Networks. CDC 2020: 6144-6149 - [c5]Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong:
A Communication-efficient Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. ECC 2020: 1250-1255 - [c4]Jinlong Lei, Peng Yi, Yiguang Hong, Jie Chen, Guodong Shi:
Online Convex Optimization Over Erdos-Renyi Random Networks. NeurIPS 2020 - [i2]Jinlong Lei, Peng Yi, Jie Chen, Yiguang Hong:
Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization. CoRR abs/2002.03269 (2020) - [i1]Peng Yi, Jinlong Lei, Yiguang Hong, Jie Chen, Guodong Shi:
Distributed Linear Equations over Random Networks. CoRR abs/2008.09795 (2020)
2010 – 2019
- 2018
- [j5]Peng Yi, Jinlong Lei, Yiguang Hong:
Distributed resource allocation over random networks based on stochastic approximation. Syst. Control. Lett. 114: 44-51 (2018) - [j4]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): 2159-2188 (2018) - [c3]Jinlong Lei, Peng Yi, Guodong Shi, Brian D. O. Anderson:
Network Linear Equations with Finite Data Rates. CDC 2018: 3373-3378 - [c2]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: 3547-3552 - 2017
- [c1]Jinlong Lei, Uday V. Shanbhag:
A randomized inexact proximal best-response scheme for potential stochastic nash games. CDC 2017: 1646-1651 - 2016
- [j3]Jinlong Lei, Han-Fu Chen, Haitao Fang:
Primal-dual algorithm for distributed constrained optimization. Syst. Control. Lett. 96: 110-117 (2016) - 2015
- [j2]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): 423-451 (2015) - [j1]Jinlong Lei, Han-Fu Chen:
Distributed Randomized PageRank Algorithm Based on Stochastic Approximation. IEEE Trans. Autom. Control. 60(6): 1641-1646 (2015)
Coauthor Index
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last updated on 2024-10-23 21:27 CEST by the dblp team
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