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2020 – today
- 2024
[j23]Kaihong Lu, Hongxia Wang, Qixin Zhu:
Distributed strategies for mixed equilibrium problems: Continuous-time theoretical approaches. Autom. 161: 111501 (2024)- [j22]Hang Xu, Kaihong Lu, Yu-Long Wang:
Online distributed nonconvex optimization with stochastic objective functions: High probability bound analysis of dynamic regrets. Autom. 170: 111863 (2024) - [j21]Kaihong Lu
, Hongxia Wang, Huanshui Zhang, Long Wang:
Convergence in High Probability of Distributed Stochastic Gradient Descent Algorithms. IEEE Trans. Autom. Control. 69(4): 2189-2204 (2024) - [j20]Kaihong Lu:
Online Distributed Algorithms for Online Noncooperative Games With Stochastic Cost Functions: High Probability Bound of Regrets. IEEE Trans. Autom. Control. 69(12): 8860-8867 (2024) - [j19]Yanfu Qin, Kaihong Lu, Hongxia Wang:
Online Distributed Optimization With Nonconvex Objective Functions Under Unbalanced Digraphs: Dynamic Regret Analysis. IEEE Trans. Netw. Sci. Eng. 11(5): 4241-4251 (2024) - 2023
- [j18]Chunxia Liu, Kaihong Lu, Xiaojie Chen, Attila Szolnoki:
Game-theoretical approach for task allocation problems with constraints. Appl. Math. Comput. 458: 128251 (2023) - [j17]Kaihong Lu, Hang Xu:
Online distributed optimization with strongly pseudoconvex-sum cost functions and coupled inequality constraints. Autom. 156: 111203 (2023) - [j16]Wentao Zhang, Yang Shi, Baoyong Zhang, Kaihong Lu, Deming Yuan:
Quantized Distributed Online Projection-Free Convex Optimization. IEEE Control. Syst. Lett. 7: 1837-1842 (2023) - [j15]Pin Liu, Kaihong Lu, Feng Xiao, Bo Wei, Yuanshi Zheng:
Online Distributed Learning for Aggregative Games With Feedback Delays. IEEE Trans. Autom. Control. 68(10): 6385-6392 (2023) - [j14]Kaihong Lu, Long Wang:
Online Distributed Optimization With Nonconvex Objective Functions via Dynamic Regrets. IEEE Trans. Autom. Control. 68(11): 6509-6524 (2023) - [j13]Hang Xu, Kaihong Lu, Tianbao Wang, Xiaoxi Yan, Qixin Zhu:
Online Distributed Seeking for First-Order Nash Equilibria of Nonconvex Noncooperative Games With Multiple Clusters. IEEE Trans. Circuits Syst. II Express Briefs 70(2): 621-625 (2023) - [i3]Chunxia Liu, Kaihong Lu, Xiaojie Chen, Attila Szolnoki:
Game-theoretical approach for task allocation problems with constraints. CoRR abs/2308.10451 (2023) - 2022
- [j12]Kaihong Lu, Hang Xu, Yuanshi Zheng:
Distributed resource allocation via multi-agent systems under time-varying networks. Autom. 136: 110059 (2022) - [j11]Kaihong Lu, Qixin Zhu, Xiaoxi Yan:
Distributed ergodic algorithms for mixed equilibrium problems: Absent of cut property. Autom. 141: 110297 (2022) - [j10]Hang Xu, Kaihong Lu:
Continuous-time distributed optimization with strictly pseudoconvex objective functions. J. Frankl. Inst. 359(2): 1483-1502 (2022) - [j9]Kaihong Lu, Long Wang:
Online Distributed Optimization With Nonconvex Objective Functions: Sublinearity of First-Order Optimality Condition-Based Regret. IEEE Trans. Autom. Control. 67(6): 3029-3035 (2022) - [j8]Kaihong Lu, Qixin Zhu:
Nonsmooth Continuous-Time Distributed Algorithms for Seeking Generalized Nash Equilibria of Noncooperative Games via Digraphs. IEEE Trans. Cybern. 52(7): 6196-6206 (2022) - [c1]Kaihong Lu, Hang Xu:
Continuous-time online distributed constrained optimization via unbalanced digraphs. ICCA 2022: 807-813 - 2021
- [j7]Kaihong Lu, Guangqi Li, Long Wang:
Online Distributed Algorithms for Seeking Generalized Nash Equilibria in Dynamic Environments. IEEE Trans. Autom. Control. 66(5): 2289-2296 (2021) - [j6]Kaihong Lu, Qixin Zhu:
Distributed Algorithms Involving Fixed Step Size for Mixed Equilibrium Problems With Multiple Set Constraints. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5254-5260 (2021) - 2020
- [j5]Kaihong Lu, Gangshan Jing, Long Wang:
Distributed algorithms for solving the convex feasibility problems. Sci. China Inf. Sci. 63(8): 1-3 (2020) - [j4]Kaihong Lu, Gangshan Jing, Long Wang:
Online Distributed Optimization With Strongly Pseudoconvex-Sum Cost Functions. IEEE Trans. Autom. Control. 65(1): 426-433 (2020)
2010 – 2019
- 2019
- [j3]Kaihong Lu, Gangshan Jing, Long Wang:
A distributed algorithm for solving mixed equilibrium problems. Autom. 105: 246-253 (2019) - [j2]Kaihong Lu, Gangshan Jing, Long Wang:
Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games. IEEE Trans. Cybern. 49(6): 2362-2371 (2019) - 2018
- [j1]Kaihong Lu, Gangshan Jing, Long Wang:
Distributed Algorithm for Solving Convex Inequalities. IEEE Trans. Autom. Control. 63(8): 2670-2677 (2018) - 2016
- [i2]Kaihong Lu, Gangshan Jing, Long Wang:
Distributed algorithms for solving convex inequalities. CoRR abs/1609.03161 (2016) - [i1]Kaihong Lu, Gangshan Jing, Long Wang:
Distributed Algorithms for Solving a Class of Convex Feasibility Problems. CoRR abs/1612.04913 (2016)
Coauthor Index
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