Kaihong Lu

37 papers C 1Journal 35Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Convergence Analysis of Continuous-Time Distributed Stochastic Gradient Algorithms.
CoRR
Jianhua Sun, Kaihong Lu, Xin Yu
2026 J jnl
High probability convergence of distributed clipped stochastic gradient descent with heavy-tailed noise.
Syst. Control. Lett.
Yuchen Yang, Kaihong Lu, Long Wang
2026 J jnl
Online distributed algorithms for aggregative games with stochastic costs over time-varying networks.
Int. J. Control
Yutian Yao, Kaihong Lu, Qixin Zhu
2026 J jnl
Online distributed algorithms for mixed equilibrium problems in dynamic environments.
Autom.
Hang Xu, Kaihong Lu, Yu-Long Wang, Qixin Zhu
2025 J jnl
High Probability Convergence of Clipped Distributed Dual Averaging With Heavy-Tailed Noises.
IEEE Trans. Syst. Man Cybern. Syst.
Yanfu Qin, Kaihong Lu, Hang Xu, Xiangyong Chen
2025 J jnl
Online Distributed Zeroth-Order Optimization With Non-Zero-Mean Adverse Noises.
CoRR
Yanfu Qin, Kaihong Lu
2025 J jnl
Online distributed optimization with clipped stochastic gradients: High probability bound of regrets.
Autom.
Yuchen Yang, Kaihong Lu, Long Wang
2024 J jnl
Aggregative games with bilevel structures: Distributed algorithms and convergence analysis.
CoRR
Kaihong Lu, Huanshui Zhang, Long Wang
2024 J jnl
Convergence in High Probability of Distributed Stochastic Gradient Descent Algorithms.
IEEE Trans. Autom. Control.
Kaihong Lu, Hongxia Wang, Huanshui Zhang, Long Wang
2024 J jnl
Distributed strategies for mixed equilibrium problems: Continuous-time theoretical approaches.
Autom.
Kaihong Lu, Hongxia Wang, Qixin Zhu
2024 J jnl
Online Distributed Algorithms for Online Noncooperative Games With Stochastic Cost Functions: High Probability Bound of Regrets.
IEEE Trans. Autom. Control.
Kaihong Lu
2024 J jnl
Online Distributed Optimization With Nonconvex Objective Functions Under Unbalanced Digraphs: Dynamic Regret Analysis.
IEEE Trans. Netw. Sci. Eng.
Yanfu Qin, Kaihong Lu, Hongxia Wang
2024 C conf
Online Distributed Optimization with Stochastic Objective Functions: High Probability Bound Analysis of Dynamic Regrets.
ICARCV
Hang Xu, Kaihong Lu
2024 J jnl
Online distributed algorithms for mixed equilibrium problems in dynamic environments.
CoRR
Hang Xu, Kaihong Lu, Yu-Long Wang, Qixin Zhu
2024 J jnl
Online distributed nonconvex optimization with stochastic objective functions: High probability bound analysis of dynamic regrets.
Autom.
Hang Xu, Kaihong Lu, Yu-Long Wang
2023 J jnl
Game-theoretical approach for task allocation problems with constraints.
Appl. Math. Comput.
Chunxia Liu, Kaihong Lu, Xiaojie Chen, Attila Szolnoki
2023 J jnl
Game-theoretical approach for task allocation problems with constraints.
CoRR
Chunxia Liu, Kaihong Lu, Xiaojie Chen, Attila Szolnoki
2023 J jnl
Online Distributed Learning for Aggregative Games With Feedback Delays.
IEEE Trans. Autom. Control.
Pin Liu, Kaihong Lu, Feng Xiao, Bo Wei, Yuanshi Zheng
2023 J jnl
Online Distributed Optimization With Nonconvex Objective Functions via Dynamic Regrets.
IEEE Trans. Autom. Control.
Kaihong Lu, Long Wang
2023 J jnl
Online Distributed Seeking for First-Order Nash Equilibria of Nonconvex Noncooperative Games With Multiple Clusters.
IEEE Trans. Circuits Syst. II Express Briefs
Hang Xu, Kaihong Lu, Tianbao Wang, Xiaoxi Yan, Qixin Zhu
2023 J jnl
Online distributed optimization with strongly pseudoconvex-sum cost functions and coupled inequality constraints.
Autom.
Kaihong Lu, Hang Xu
2023 J jnl
Quantized Distributed Online Projection-Free Convex Optimization.
IEEE Control. Syst. Lett.
Wentao Zhang, Yang Shi, Baoyong Zhang, Kaihong Lu, Deming Yuan
2022 J jnl
Continuous-time distributed optimization with strictly pseudoconvex objective functions.
J. Frankl. Inst.
Hang Xu, Kaihong Lu
2022 — conf
Continuous-time online distributed constrained optimization via unbalanced digraphs.
ICCA
Kaihong Lu, Hang Xu
2022 J jnl
Distributed ergodic algorithms for mixed equilibrium problems: Absent of cut property.
Autom.
Kaihong Lu, Qixin Zhu, Xiaoxi Yan
2022 J jnl
Distributed resource allocation via multi-agent systems under time-varying networks.
Autom.
Kaihong Lu, Hang Xu, Yuanshi Zheng
2022 J jnl
Nonsmooth Continuous-Time Distributed Algorithms for Seeking Generalized Nash Equilibria of Noncooperative Games via Digraphs.
IEEE Trans. Cybern.
Kaihong Lu, Qixin Zhu
2022 J jnl
Online Distributed Optimization With Nonconvex Objective Functions: Sublinearity of First-Order Optimality Condition-Based Regret.
IEEE Trans. Autom. Control.
Kaihong Lu, Long Wang
2021 J jnl
Distributed Algorithms Involving Fixed Step Size for Mixed Equilibrium Problems With Multiple Set Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Kaihong Lu, Qixin Zhu
2021 J jnl
Online Distributed Algorithms for Seeking Generalized Nash Equilibria in Dynamic Environments.
IEEE Trans. Autom. Control.
Kaihong Lu, Guangqi Li, Long Wang
2020 J jnl
Distributed algorithms for solving the convex feasibility problems.
Sci. China Inf. Sci.
Kaihong Lu, Gangshan Jing, Long Wang
2020 J jnl
Online Distributed Optimization With Strongly Pseudoconvex-Sum Cost Functions.
IEEE Trans. Autom. Control.
Kaihong Lu, Gangshan Jing, Long Wang
2019 J jnl
A distributed algorithm for solving mixed equilibrium problems.
Autom.
Kaihong Lu, Gangshan Jing, Long Wang
2019 J jnl
Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games.
IEEE Trans. Cybern.
Kaihong Lu, Gangshan Jing, Long Wang
2018 J jnl
Distributed Algorithm for Solving Convex Inequalities.
IEEE Trans. Autom. Control.
Kaihong Lu, Gangshan Jing, Long Wang
2016 J jnl
Distributed Algorithms for Solving a Class of Convex Feasibility Problems.
CoRR
Kaihong Lu, Gangshan Jing, Long Wang
2016 J jnl
Distributed algorithms for solving convex inequalities.
CoRR
Kaihong Lu, Gangshan Jing, Long Wang