Distributed average consensus via gossip algorithm with real-valued and quantized data for 0q. - Deming Yuan; Shengyuan Xu 001; Huanyu Zhao; Yuming Chu (Syst. Control. Lett., 2010)

Distributed discrete-time coordinated tracking for networked single-integrator agents under a Markovian switching topology. - Huanyu Zhao; Wei Ren 001; Shengyuan Xu 001; Deming Yuan (ACC, 2011)

Distributed Primal-Dual Subgradient Method for Multiagent Optimization via Consensus Algorithms. - Deming Yuan; Shengyuan Xu 001; Huanyu Zhao (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Distributed dual averaging method for multi-agent optimization with quantized communication. - Deming Yuan; Shengyuan Xu 001; Huanyu Zhao; Lina Rong (Syst. Control. Lett., 2012)

Distributed discrete-time coordinated tracking with Markovian switching topologies. - Huanyu Zhao; Wei Ren 001; Deming Yuan; Jie Chen 003 (Syst. Control. Lett., 2012)

Inexact dual averaging method for distributed multi-agent optimization. - Deming Yuan; Daniel W. C. Ho; Shengyuan Xu 001 (Syst. Control. Lett., 2014)

Randomized Gradient-Free Method for Multiagent Optimization Over Time-Varying Networks. - Deming Yuan; Daniel W. C. Ho (IEEE Trans. Neural Networks Learn. Syst., 2015)

Adaptive neural tracking control of a class of MIMO pure-feedback time-delay nonlinear systems with input saturation. - Yang Yang 052; Dong Yue 001; Deming Yuan (Int. J. Syst. Sci., 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)

Regularized Primal-Dual Subgradient Method for Distributed Constrained Optimization. - Deming Yuan; Daniel W. C. Ho; Shengyuan Xu 001 (IEEE Trans. Cybern., 2016)

Zeroth-Order Method for Distributed Optimization With Approximate Projections. - Deming Yuan; Daniel W. C. Ho; Shengyuan Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Optimal distributed stochastic mirror descent for strongly convex optimization. - Deming Yuan; Yiguang Hong; Daniel W. C. Ho; Guoping Jiang (Autom., 2018)

An Adaptive Primal-Dual Subgradient Algorithm for Online Distributed Constrained Optimization. - Deming Yuan; Daniel W. C. Ho; Guoping Jiang (IEEE Trans. Cybern., 2018)

Distributed Online Linear Regression. - Deming Yuan; Alexandre Proutière; Guodong Shi (CoRR, 2019)

Distributed Stochastic Optimization over Time-Varying Noisy Network. - Zhan Yu; Daniel W. C. Ho; Deming Yuan (CoRR, 2020)

A novel ε-dependent Lyapunov function and its application to singularly perturbed systems. - Feng Li 009; Wei Xing Zheng 001; Shengyuan Xu 001; Deming Yuan (Autom., 2021)

Dynamics of Opinions with Bounded Confidence in Social Cliques: Emergence of Fluctuations. - Jiangbo Zhang; Deming Yuan; Lei Wang 059; Claudio Altafini; Guodong Shi (CoRR, 2021)

Push-sum Distributed Dual Averaging for Convex Optimization in Multi-agent Systems with Communication Delays. - Cong Wang 041; Shengyuan Xu 001; Deming Yuan; Baoyong Zhang; Zhengqiang Zhang (CoRR, 2021)

Cooperative convex optimization with subgradient delays using push-sum distributed dual averaging. - Cong Wang 041; Shengyuan Xu 001; Deming Yuan; Yuming Chu; Zhengqiang Zhang (J. Frankl. Inst., 2021)

Distributed Mirror Descent for Online Composite Optimization. - Deming Yuan; Yiguang Hong; Daniel W. C. Ho; Shengyuan Xu 001 (IEEE Trans. Autom. Control., 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 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Distributed Online Linear Regressions. - Deming Yuan; Alexandre Proutière; Guodong Shi (IEEE Trans. Inf. Theory, 2021)

Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm. - Deming Yuan; Daniel W. C. Ho; Shengyuan Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Distributed Online Convex Optimization with Compressed Communication. - Zhipeng Tu; Xi Wang; Yiguang Hong; Lei Wang 059; Deming Yuan; Guodong Shi (NeurIPS, 2022)

Distributed online bandit optimization under random quantization. - Deming Yuan; Baoyong Zhang; Daniel W. C. Ho; Wei Xing Zheng 001; Shengyuan Xu 001 (Autom., 2022)

Distributed quantized mirror descent for strongly convex optimization over time-varying directed graph. - Menghui Xiong; Baoyong Zhang; Deming Yuan; Shengyuan Xu 001 (Sci. China Inf. Sci., 2022)

Fixed-Time Lyapunov Criteria and State-Feedback Controller Design for Stochastic Nonlinear Systems. - Huifang Min; Shengyuan Xu 001; Baoyong Zhang; Qian Ma 001; Deming Yuan (IEEE CAA J. Autom. Sinica, 2022)

Distributed online convex optimization with a bandit primal-dual mirror descent push-sum algorithm. - Cong Wang 041; Shengyuan Xu 001; Deming Yuan; Baoyong Zhang; Zhengqiang Zhang (Neurocomputing, 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 Optimization With Long-Term Constraints. - Deming Yuan; Alexandre Proutière; Guodong Shi (IEEE Trans. Autom. Control., 2022)

Push-Sum Distributed Online Optimization With Bandit Feedback. - Cong Wang 041; Shengyuan Xu 001; Deming Yuan; Baoyong Zhang; Zhengqiang Zhang (IEEE Trans. Cybern., 2022)

Riemannian Optimistic Algorithms. - Xi Wang; Deming Yuan; Yiguang Hong; Zihao Hu; Lei Wang 059; Guodong Shi (CoRR, 2023)

Quantized Distributed Online Projection-Free Convex Optimization. - Wentao Zhang 003; Yang Shi 001; Baoyong Zhang; Kaihong Lu; Deming Yuan (IEEE Control. Syst. Lett., 2023)

Sliding mode control for networked control systems under DoS attacks via an event-triggered scheme. - Shiyu Jiao; Shengyuan Xu 001; Deming Yuan; Shuai Feng; Jian Guo 007 (J. Frankl. Inst., 2023)

Push-Sum Distributed Dual Averaging for Convex Optimization in Multiagent Systems With Communication Delays. - Cong Wang 041; Shengyuan Xu 001; Deming Yuan; Baoyong Zhang; Zhengqiang Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Event-triggered distributed online convex optimization with delayed bandit feedback. - Menghui Xiong; Baoyong Zhang; Deming Yuan; Yijun Zhang 001; Jun Chen 016 (Appl. Math. Comput., 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 077 (IEEE Trans. Cybern., 2023)

Homogeneous Domination Approach to Global Stabilization of Stochastic Continuous Nonlinear Time-Delay Systems With SISS-Like Conditions. - Yu Shao; Shengyuan Xu 001; Deming Yuan; Yuming Chu; Zhengqiang Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Event-Triggered Distributed Stochastic Mirror Descent for Convex Optimization. - Menghui Xiong; Baoyong Zhang; Daniel W. C. Ho; Deming Yuan; Shengyuan Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Distributed online bandit linear regressions with differential privacy. - Mingcheng Dai; Daniel W. C. Ho; Baoyong Zhang; Deming Yuan; Shengyuan Xu 001 (J. Frankl. Inst., 2023)

Spatio-Temporal Communication Compression in Distributed Prime-Dual Flows. - Zihao Ren; Lei Wang 059; Deming Yuan; Hongye Su; Guodong Shi (CDC, 2024)

Improved dynamic regret of distributed online multiple Frank-Wolfe convex optimization. - Wentao Zhang 003; Yang Shi 001; Baoyong Zhang; Deming Yuan (Sci. China Inf. Sci., 2024)

Spatio-Temporal Communication Compression for Distributed Prime-Dual Optimization. - Zihao Ren; Lei Wang 059; Deming Yuan; Hongye Su; Guodong Shi (CoRR, 2024)

Multi-agent Online Optimization. - Deming Yuan; Alexandre Proutière; Guodong Shi (Found. Trends Optim., 2024)

Gossip-based distributed stochastic mirror descent for constrained optimization. - Xianju Fang; Baoyong Zhang; Deming Yuan (Neural Networks, 2024)

Distributed Online Mirror Descent With Delayed Subgradient and Event-Triggered Communications. - Menghui Xiong; Daniel W. C. Ho; Baoyong Zhang; Deming Yuan; Shengyuan Xu 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Distributed zeroth-order optimization: Convergence rates that match centralized counterpart. - Deming Yuan; Lei Wang 059; Alexandre Proutière; Guodong Shi (Autom., 2024)

Distributed Online Stochastic-Constrained Convex Optimization With Bandit Feedback. - Cong Wang 041; Shengyuan Xu 001; Deming Yuan (IEEE Trans. Cybern., 2024)

Dynamic Regret of Distributed Online Saddle Point Problem. - Wentao Zhang 003; Yang Shi 001; Baoyong Zhang; Deming Yuan; Shengyuan Xu 001 (IEEE Trans. Autom. Control., 2024)

Adaptive Fuzzy State-Constrained Control Without Feasibility Conditions for Nonstrict Feedback Stochastic Nonlinear Systems With Input Delay. - Yanru Peng; Shengyuan Xu 001; Baoyong Zhang; Qian Ma 001; Deming Yuan (IEEE Trans. Fuzzy Syst., 2024)

Prescribed-time distributed resource allocation algorithm for heterogeneous linear multi-agent networks with unbalanced directed communication. - Yuxiao Lian; Baoyong Zhang; Deming Yuan; Yao Yao; Bo Song (Appl. Math. Comput., 2025)

Gossip-based asynchronous algorithms for distributed composite optimization. - Xianju Fang; Baoyong Zhang; Deming Yuan (Neurocomputing, 2025)

Dynamic regret for decentralized online bandit gradient descent with local steps. - Honglei Liu; Baoyong Zhang; Deming Yuan (J. Frankl. Inst., 2025)

Broadcast-based asynchronous convex optimization using quantized distributed stochastic mirror descent algorithm. - Xianju Fang; Baoyong Zhang; Deming Yuan; Honglei Liu; Bo Song (Syst. Control. Lett., 2025)

Decentralized Online Strongly Convex Optimization with General Compressors and Random Disturbances. - Honglei Liu; Deming Yuan; Baoyong Zhang (J. Optim. Theory Appl., 2025)

Distributed Solvers for Network Linear Equations With Scalarized Compression. - Lei Wang 059; Zihao Ren; Deming Yuan; Guodong Shi (IEEE Trans. Autom. Control., 2025)

Distributed Online Convex Optimization With Statistical Privacy. - Mingcheng Dai; Daniel W. C. Ho; Baoyong Zhang; Deming Yuan; Shengyuan Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)