艾武｜桂林理工大学｜学者主页

2026

基于有向图的去中心化分布式拟牛顿法

林广金，艾武

《石河子大学学报(自然科学版)》

DOI

2025

Semi-Supervised Stochastic Configuration Networks Based on Manifold Regularization Framework

Haimei Meng, Wu Ai

Journal of Computer and Communications

DOI

2025

Federated Domain Generalization by Intra-Client Stable Feature Learning and Inter-Client Domain Adversarial Alignment

Xin Zhao, Wu Ai

Open Journal of Applied Sciences

DOI

2025

Distributed Learning for Echo State Networks with Dynamic Event-Triggered Consensus

Xiyu Gong, Wu Ai

Journal of Computer and Communications

DOI

2024

Decentralized Semi-Supervised Learning for Stochastic Configuration Networks Based on the Mean Teacher Method

Kaijing Li, Wu Ai

Journal of Computer and Communications

DOI

2024

A Distributed Event-Triggered Approach for Decentralized Multi-Period Portfolio Optimization via the Alternating Direction Method of Multipliers

Hongjie Wang, Wu Ai

American Journal of Industrial and Business Management

DOI

2024

Fully Distributed Learning for Deep Random Vector Functional-Link Networks

Huada Zhu, Wu Ai

Journal of Applied Mathematics and Physics

DOI

2023

基于耦合协调种群状态评估的差分进化算法

封全喜，金培源，岑健铭，艾武，林彬

《模式识别与人工智能》

2023

Differential evolution with the mutation strategy transformation based on a quartile for numerical optimization

Peiyuan Jin, Jianming Cen, Quanxi Feng, Wu Ai, Huazhou Chen, Hanli Qiao

Applied Intelligence

DOI

2023

Distributed sparse learning for stochastic configuration networks via alternating direction method of multipliers

Yujun Zhou, Wu Ai, Guoqiang Tang, Huazhou Chen

Applied Intelligence

DOI

2023

Communication-efficient decentralized elastic-net broad learning system based on quantized and censored communications

Jinyan Liang, Wu Ai, Huazhou Chen, Guoqiang Tang

Applied Soft Computing

DOI

2022

Decentralized Federated Learning for Industrial IoT With Deep Echo State Networks

Wenqi Qiu, Wu Ai, Huazhou Chen, Quanxi Feng, Guoqiang Tang

IEEE Transactions on Industrial Informatics

DOI

2021

A Fixed-time Distributed Algorithm for Least Square Solutions of Linear Equations

Shuling Li, Wu Ai, Jian Min Wu, Quanxi Feng

International Journal of Control Automation and Systems

DOI

2021

Distributed Reduced Kernel Extreme Learning Machine

Manrui Zhou, Wu Ai

China Automation Congress (CAC)

DOI

2021

Distributed Broad Learning System With Quantized and Censored Communications

Jinyan Liang, Wu Ai

China Automation Congress (CAC)

DOI

2021

A Decentralized Algorithm for Deep Echo State Networks

Wenqi Qiu, Wu Ai

China Automation Congress (CAC)

DOI

2020

Distributed stochastic configuration networks with cooperative learning paradigm

Wu Ai, Dianhui Wang

Information Sciences

DOI

2020

Fixed-Time Distributed Cooperative Learning for Stochastic Configuration Networks

Shuling Li, Wu Ai, Xiaowen Ge

Chinese Automation Congress

DOI

2020

ADMM-Based Sparse Distributed Learning for Stochastic Configuration Networks

Yujun Zhou, Wu Ai

Chinese Automation Congress

DOI

2020

Distributed Event-Triggered Learning for Stochastic Configuration Networks

Xiaowen Ge, Wu Ai, Yujun Zhou

Chinese Automation Congress

DOI

2019

Parallel Training for Large-Scale Echo State Networks via Alternating Direction Method of Multipliers

Wu Ai, Shuling Li, Jian Min Wu, Huazhou Chen, Quanxi Feng, Bin Lin

Chinese Automation Congress

DOI

2019

A Fixed-Time Distributed Algorithm for Least Square Solutions of Linear Equations

Wu Ai, Shuling Li, Jian Min Wu, Quanxi Feng

Chinese Control and Decision Conference (CCDC)

DOI

2019

Adaptive Neural Control with Prespecified Tracking Accuracy for a Class of Switched Systems Subject to Input Delay

Xu Zhang, Jian Min Wu, Wu Ai, Jing Li

Complexity

DOI

2018

Self-Triggered Distributed Optimization for Multi-Agent Systems with Periodic Sampling Schemes

Shuling Li, Wu Ai, Jian Min Wu

Chinese Automation Congress

DOI

2018

A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network

Jin Fa Xie, Weisheng Chen, Hao Dai, Sanyang Liu, Wu Ai

Neurocomputing

DOI

2018

Distributed cooperative learning for a group of uncertain systems via output feedback and neural networks

Wu Ai, Weisheng Chen, Shaoyong Hua

Journal of the Franklin Institute

DOI

2017

对等网络上的分布式合作学习

艾武

《西安电子科技大学》

2017

A general framework for population-based distributed optimization over networks

Wu Ai, Weisheng Chen, Jin Fa Xie

Information Sciences

DOI

2017

Adaptive control design for a class of switched uncertain nonlinear systems with known tracking accuracy

Xiaoli Yang, Jing Li, Wu Ai, Jian Min Wu

Chinese Automation Congress

DOI

2016

A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights

Wu Ai, Weisheng Chen, Jin Fa Xie

Information Sciences

DOI

2016

Distributed learning for feedforward neural networks with random weights using an event-triggered communication scheme

Wu Ai, Weisheng Chen, Jin Fa Xie

Neurocomputing

DOI

2013

Random attractor for stochastic lattice dynamical systems with α-stable Lévy noises

Anhui Gu, Wu Ai

Communications in Nonlinear Science and Numerical Simulation

DOI

艾武

精选作品

期刊论文

基于有向图的去中心化分布式拟牛顿法

Semi-Supervised Stochastic Configuration Networks Based on Manifold Regularization Framework

Federated Domain Generalization by Intra-Client Stable Feature Learning and Inter-Client Domain Adversarial Alignment

Distributed Learning for Echo State Networks with Dynamic Event-Triggered Consensus

Decentralized Semi-Supervised Learning for Stochastic Configuration Networks Based on the Mean Teacher Method

A Distributed Event-Triggered Approach for Decentralized Multi-Period Portfolio Optimization via the Alternating Direction Method of Multipliers

Fully Distributed Learning for Deep Random Vector Functional-Link Networks

基于耦合协调种群状态评估的差分进化算法

Differential evolution with the mutation strategy transformation based on a quartile for numerical optimization

Distributed sparse learning for stochastic configuration networks via alternating direction method of multipliers

Communication-efficient decentralized elastic-net broad learning system based on quantized and censored communications

Decentralized Federated Learning for Industrial IoT With Deep Echo State Networks

A Fixed-time Distributed Algorithm for Least Square Solutions of Linear Equations

Distributed Reduced Kernel Extreme Learning Machine

Distributed Broad Learning System With Quantized and Censored Communications

A Decentralized Algorithm for Deep Echo State Networks

Distributed stochastic configuration networks with cooperative learning paradigm

Fixed-Time Distributed Cooperative Learning for Stochastic Configuration Networks

ADMM-Based Sparse Distributed Learning for Stochastic Configuration Networks

Distributed Event-Triggered Learning for Stochastic Configuration Networks

Parallel Training for Large-Scale Echo State Networks via Alternating Direction Method of Multipliers

A Fixed-Time Distributed Algorithm for Least Square Solutions of Linear Equations

Adaptive Neural Control with Prespecified Tracking Accuracy for a Class of Switched Systems Subject to Input Delay

Self-Triggered Distributed Optimization for Multi-Agent Systems with Periodic Sampling Schemes

A distributed cooperative learning algorithm based on Zero-Gradient-Sum strategy using Radial Basis Function Network

Distributed cooperative learning for a group of uncertain systems via output feedback and neural networks

对等网络上的分布式合作学习

A general framework for population-based distributed optimization over networks

Adaptive control design for a class of switched uncertain nonlinear systems with known tracking accuracy

A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights

Distributed learning for feedforward neural networks with random weights using an event-triggered communication scheme

Random attractor for stochastic lattice dynamical systems with α-stable Lévy noises

研究方向