Deming Yuan

According to our database, Deming Yuan authored at least 52 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Decentralized Online Strongly Convex Optimization with General Compressors and Random Disturbances.

Honglei Liu, Deming Yuan, Baoyong Zhang

J. Optim. Theory Appl., January, 2025

Gossip-based asynchronous algorithms for distributed composite optimization.

Xianju Fang, Baoyong Zhang, Deming Yuan

Neurocomputing, 2025

2024

Adaptive Fuzzy State-Constrained Control Without Feasibility Conditions for Nonstrict Feedback Stochastic Nonlinear Systems With Input Delay.

Yanru Peng, Shengyuan Xu, Baoyong Zhang, Qian Ma, Deming Yuan

IEEE Trans. Fuzzy Syst., August, 2024

Dynamic Regret of Distributed Online Saddle Point Problem.

Wentao Zhang, Yang Shi, Baoyong Zhang, Deming Yuan, Shengyuan Xu

IEEE Trans. Autom. Control., April, 2024

Distributed Online Stochastic-Constrained Convex Optimization With Bandit Feedback.

Cong Wang, Shengyuan Xu, Deming Yuan

IEEE Trans. Cybern., January, 2024

Distributed zeroth-order optimization: Convergence rates that match centralized counterpart.

Deming Yuan, Lei Wang, Alexandre Proutière, Guodong Shi

Autom., January, 2024

Distributed Online Mirror Descent With Delayed Subgradient and Event-Triggered Communications.

Menghui Xiong, Daniel W. C. Ho, Baoyong Zhang, Deming Yuan, Shengyuan Xu

IEEE Trans. Netw. Sci. Eng., 2024

Gossip-based distributed stochastic mirror descent for constrained optimization.

Xianju Fang, Baoyong Zhang, Deming Yuan

Neural Networks, 2024

Multi-agent Online Optimization.

Deming Yuan, Alexandre Proutière, Guodong Shi

Found. Trends Optim., 2024

Spatio-Temporal Communication Compression for Distributed Prime-Dual Optimization.

Zihao Ren, Lei Wang, Deming Yuan, Hongye Su, Guodong Shi

CoRR, 2024

Spatio-Temporal Communication Compression in Distributed Prime-Dual Flows.

Zihao Ren, Lei Wang, Deming Yuan, Hongye Su, Guodong Shi

CoRR, 2024

Distributed Solvers for Network Linear Equations with Scalarized Compression.

Lei Wang, Zihao Ren, Deming Yuan, Guodong Shi

CoRR, 2024

2023

Distributed online bandit linear regressions with differential privacy.

Mingcheng Dai, Daniel W. C. Ho, Baoyong Zhang, Deming Yuan, Shengyuan Xu

J. Frankl. Inst., November, 2023

Event-Triggered Distributed Stochastic Mirror Descent for Convex Optimization.

Menghui Xiong, Baoyong Zhang, Daniel W. C. Ho, Deming Yuan, Shengyuan Xu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Homogeneous Domination Approach to Global Stabilization of Stochastic Continuous Nonlinear Time-Delay Systems With SISS-Like Conditions.

Yu Shao, Shengyuan Xu, Deming Yuan, Yuming Chu, Zhengqiang Zhang

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Distributed Stochastic Constrained Composite Optimization Over Time-Varying Network With a Class of Communication Noise.

Zhan Yu, Daniel W. C. Ho, Deming Yuan, Jie Liu

IEEE Trans. Cybern., June, 2023

Event-triggered distributed online convex optimization with delayed bandit feedback.

Menghui Xiong, Baoyong Zhang, Deming Yuan, Yijun Zhang, Jun Chen

Appl. Math. Comput., May, 2023

Push-Sum Distributed Dual Averaging for Convex Optimization in Multiagent Systems With Communication Delays.

Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang

IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Sliding mode control for networked control systems under DoS attacks via an event-triggered scheme.

Shiyu Jiao, Shengyuan Xu, Deming Yuan, Shuai Feng, Jian Guo

J. Frankl. Inst., March, 2023

Quantized Distributed Online Projection-Free Convex Optimization.

Wentao Zhang, Yang Shi, Baoyong Zhang, Kaihong Lu, Deming Yuan

IEEE Control. Syst. Lett., 2023

Riemannian Optimistic Algorithms.

Xi Wang, Deming Yuan, Yiguang Hong, Zihao Hu, Lei Wang, Guodong Shi

CoRR, 2023

2022

Push-Sum Distributed Online Optimization With Bandit Feedback.

Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang

IEEE Trans. Cybern., 2022

Distributed Online Optimization With Long-Term Constraints.

Deming Yuan, Alexandre Proutière, Guodong Shi

IEEE Trans. Autom. Control., 2022

Distributed Randomized Gradient-Free Mirror Descent Algorithm for Constrained Optimization.

Zhan Yu, Daniel W. C. Ho, Deming Yuan

IEEE Trans. Autom. Control., 2022

Distributed online convex optimization with a bandit primal-dual mirror descent push-sum algorithm.

Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang

Neurocomputing, 2022

Fixed-Time Lyapunov Criteria and State-Feedback Controller Design for Stochastic Nonlinear Systems.

Huifang Min, Shengyuan Xu, Baoyong Zhang, Qian Ma, Deming Yuan

IEEE CAA J. Autom. Sinica, 2022

Distributed quantized mirror descent for strongly convex optimization over time-varying directed graph.

Menghui Xiong, Baoyong Zhang, Deming Yuan, Shengyuan Xu

Sci. China Inf. Sci., 2022

Distributed online bandit optimization under random quantization.

Deming Yuan, Baoyong Zhang, Daniel W. C. Ho, Wei Xing Zheng, Shengyuan Xu

Autom., 2022

Distributed Online Convex Optimization with Compressed Communication.

Zhipeng Tu, Xi Wang, Yiguang Hong, Lei Wang, Deming Yuan, Guodong Shi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm.

Deming Yuan, Daniel W. C. Ho, Shengyuan Xu

IEEE Trans. Neural Networks Learn. Syst., 2021

Distributed Online Linear Regressions.

Deming Yuan, Alexandre Proutière, Guodong Shi

IEEE Trans. Inf. Theory, 2021

Event-Based Extended Dissipative State Estimation for Memristor-Based Markovian Neural Networks With Hybrid Time-Varying Delays.

Ting Wang, Baoyong Zhang, Deming Yuan, Yijun Zhang

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Distributed Mirror Descent for Online Composite Optimization.

Deming Yuan, Yiguang Hong, Daniel W. C. Ho, Shengyuan Xu

IEEE Trans. Autom. Control., 2021

Cooperative convex optimization with subgradient delays using push-sum distributed dual averaging.

Cong Wang, Shengyuan Xu, Deming Yuan, Yuming Chu, Zhengqiang Zhang

J. Frankl. Inst., 2021

Push-sum Distributed Dual Averaging for Convex Optimization in Multi-agent Systems with Communication Delays.

Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang

CoRR, 2021

Dynamics of Opinions with Bounded Confidence in Social Cliques: Emergence of Fluctuations.

Jiangbo Zhang, Deming Yuan, Lei Wang, Claudio Altafini, Guodong Shi

CoRR, 2021

A novel ε-dependent Lyapunov function and its application to singularly perturbed systems.

Feng Li, Wei Xing Zheng, Shengyuan Xu, Deming Yuan

Autom., 2021

2020

Distributed Stochastic Optimization over Time-Varying Noisy Network.

Zhan Yu, Daniel W. C. Ho, Deming Yuan

CoRR, 2020

2019

Distributed Online Linear Regression.

Deming Yuan, Alexandre Proutière, Guodong Shi

CoRR, 2019

2018

An Adaptive Primal-Dual Subgradient Algorithm for Online Distributed Constrained Optimization.

Deming Yuan, Daniel W. C. Ho, Guoping Jiang

IEEE Trans. Cybern., 2018

Optimal distributed stochastic mirror descent for strongly convex optimization.

Deming Yuan, Yiguang Hong, Daniel W. C. Ho, Guoping Jiang

Autom., 2018

2016

Zeroth-Order Method for Distributed Optimization With Approximate Projections.

Deming Yuan, Daniel W. C. Ho, Shengyuan Xu

IEEE Trans. Neural Networks Learn. Syst., 2016

Regularized Primal-Dual Subgradient Method for Distributed Constrained Optimization.

Deming Yuan, Daniel W. C. Ho, Shengyuan Xu

IEEE Trans. Cybern., 2016

On Convergence Rate of Distributed Stochastic Gradient Algorithm for Convex Optimization with Inequality Constraints.

Deming Yuan, Daniel W. C. Ho, Yiguang Hong

SIAM J. Control. Optim., 2016

Adaptive neural tracking control of a class of MIMO pure-feedback time-delay nonlinear systems with input saturation.

Yang Yang, Dong Yue, Deming Yuan

Int. J. Syst. Sci., 2016

2015

Randomized Gradient-Free Method for Multiagent Optimization Over Time-Varying Networks.

Deming Yuan, Daniel W. C. Ho

IEEE Trans. Neural Networks Learn. Syst., 2015

2014

Inexact dual averaging method for distributed multi-agent optimization.

Deming Yuan, Daniel W. C. Ho, Shengyuan Xu

Syst. Control. Lett., 2014

2012

Distributed discrete-time coordinated tracking with Markovian switching topologies.

Huanyu Zhao, Wei Ren, Deming Yuan, Jie Chen

Syst. Control. Lett., 2012

Distributed dual averaging method for multi-agent optimization with quantized communication.

Deming Yuan, Shengyuan Xu, Huanyu Zhao, Lina Rong

Syst. Control. Lett., 2012

2011

Distributed Primal-Dual Subgradient Method for Multiagent Optimization via Consensus Algorithms.

Deming Yuan, Shengyuan Xu, Huanyu Zhao

IEEE Trans. Syst. Man Cybern. Part B, 2011

Distributed discrete-time coordinated tracking for networked single-integrator agents under a Markovian switching topology.

Huanyu Zhao, Wei Ren, Shengyuan Xu, Deming Yuan

Proceedings of the American Control Conference, 2011

2010

Distributed average consensus via gossip algorithm with real-valued and quantized data for 0q.

Deming Yuan, Shengyuan Xu, Huanyu Zhao, Yuming Chu

Syst. Control. Lett., 2010