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ORCIDDeming Yuan
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2020 – today
- 2024
[j39]Deming Yuan, Lei Wang, Alexandre Proutière, Guodong Shi:
Distributed zeroth-order optimization: Convergence rates that match centralized counterpart. Autom. 159: 111328 (2024)- [j38]Xianju Fang
, Baoyong Zhang, Deming Yuan:
Gossip-based distributed stochastic mirror descent for constrained optimization. Neural Networks 175: 106291 (2024) - [j37]Wentao Zhang, Yang Shi, Baoyong Zhang, Deming Yuan, Shengyuan Xu:
Dynamic Regret of Distributed Online Saddle Point Problem. IEEE Trans. Autom. Control. 69(4): 2522-2529 (2024) - [j36]Cong Wang, Shengyuan Xu, Deming Yuan:
Distributed Online Stochastic-Constrained Convex Optimization With Bandit Feedback. IEEE Trans. Cybern. 54(1): 63-75 (2024) - [j35]Yanru Peng, Shengyuan Xu, Baoyong Zhang, Qian Ma, Deming Yuan:
Adaptive Fuzzy State-Constrained Control Without Feasibility Conditions for Nonstrict Feedback Stochastic Nonlinear Systems With Input Delay. IEEE Trans. Fuzzy Syst. 32(8): 4610-4619 (2024) - [j34]Menghui Xiong, Daniel W. C. Ho, Baoyong Zhang, Deming Yuan, Shengyuan Xu:
Distributed Online Mirror Descent With Delayed Subgradient and Event-Triggered Communications. IEEE Trans. Netw. Sci. Eng. 11(2): 1702-1715 (2024) - [i9]Lei Wang, Zihao Ren, Deming Yuan, Guodong Shi:
Distributed Solvers for Network Linear Equations with Scalarized Compression. CoRR abs/2401.06332 (2024) - [i8]Zihao Ren, Lei Wang, Deming Yuan, Hongye Su, Guodong Shi:
Spatio-Temporal Communication Compression in Distributed Prime-Dual Flows. CoRR abs/2408.02332 (2024) - [i7]Zihao Ren, Lei Wang, Deming Yuan, Hongye Su, Guodong Shi:
Spatio-Temporal Communication Compression for Distributed Prime-Dual Optimization. CoRR abs/2409.00002 (2024) - 2023
- [j33]Menghui Xiong, Baoyong Zhang, Deming Yuan, Yijun Zhang, Jun Chen:
Event-triggered distributed online convex optimization with delayed bandit feedback. Appl. Math. Comput. 445: 127865 (2023) - [j32]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) - [j31]Shiyu Jiao, Shengyuan Xu, Deming Yuan, Shuai Feng, Jian Guo:
Sliding mode control for networked control systems under DoS attacks via an event-triggered scheme. J. Frankl. Inst. 360(4): 2931-2954 (2023) - [j30]Mingcheng Dai, Daniel W. C. Ho, Baoyong Zhang, Deming Yuan, Shengyuan Xu:
Distributed online bandit linear regressions with differential privacy. J. Frankl. Inst. 360(16): 11736-11759 (2023) - [j29]Zhan Yu, Daniel W. C. Ho, Deming Yuan, Jie Liu:
Distributed Stochastic Constrained Composite Optimization Over Time-Varying Network With a Class of Communication Noise. IEEE Trans. Cybern. 53(6): 3561-3573 (2023) - [j28]Menghui Xiong, Baoyong Zhang, Daniel W. C. Ho, Deming Yuan, Shengyuan Xu:
Event-Triggered Distributed Stochastic Mirror Descent for Convex Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6480-6491 (2023) - [j27]Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang:
Push-Sum Distributed Dual Averaging for Convex Optimization in Multiagent Systems With Communication Delays. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1420-1430 (2023) - [j26]Yu Shao, Shengyuan Xu, Deming Yuan, Yuming Chu, Zhengqiang Zhang:
Homogeneous Domination Approach to Global Stabilization of Stochastic Continuous Nonlinear Time-Delay Systems With SISS-Like Conditions. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 3908-3918 (2023) - [i6]Xi Wang, Deming Yuan, Yiguang Hong, Zihao Hu, Lei Wang, Guodong Shi:
Riemannian Optimistic Algorithms. CoRR abs/2308.16004 (2023) - 2022
- [j25]Deming Yuan, Baoyong Zhang, Daniel W. C. Ho, Wei Xing Zheng, Shengyuan Xu:
Distributed online bandit optimization under random quantization. Autom. 146: 110590 (2022) - [j24]Menghui Xiong, Baoyong Zhang, Deming Yuan, Shengyuan Xu:
Distributed quantized mirror descent for strongly convex optimization over time-varying directed graph. Sci. China Inf. Sci. 65(10) (2022) - [j23]Huifang Min, Shengyuan Xu, Baoyong Zhang, Qian Ma, Deming Yuan:
Fixed-Time Lyapunov Criteria and State-Feedback Controller Design for Stochastic Nonlinear Systems. IEEE CAA J. Autom. Sinica 9(6): 1005-1014 (2022) - [j22]Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang:
Distributed online convex optimization with a bandit primal-dual mirror descent push-sum algorithm. Neurocomputing 497: 204-215 (2022) - [j21]Zhan Yu, Daniel W. C. Ho, Deming Yuan:
Distributed Randomized Gradient-Free Mirror Descent Algorithm for Constrained Optimization. IEEE Trans. Autom. Control. 67(2): 957-964 (2022) - [j20]Deming Yuan, Alexandre Proutière, Guodong Shi:
Distributed Online Optimization With Long-Term Constraints. IEEE Trans. Autom. Control. 67(3): 1089-1104 (2022) - [j19]Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang:
Push-Sum Distributed Online Optimization With Bandit Feedback. IEEE Trans. Cybern. 52(4): 2263-2273 (2022) - [c2]Zhipeng Tu, Xi Wang, Yiguang Hong, Lei Wang, Deming Yuan, Guodong Shi:
Distributed Online Convex Optimization with Compressed Communication. NeurIPS 2022 - 2021
- [j18]Feng Li, Wei Xing Zheng, Shengyuan Xu, Deming Yuan:
A novel ε-dependent Lyapunov function and its application to singularly perturbed systems. Autom. 133: 109749 (2021) - [j17]Cong Wang, Shengyuan Xu, Deming Yuan, Yuming Chu, Zhengqiang Zhang:
Cooperative convex optimization with subgradient delays using push-sum distributed dual averaging. J. Frankl. Inst. 358(14): 7254-7269 (2021) - [j16]Deming Yuan, Yiguang Hong, Daniel W. C. Ho, Shengyuan Xu:
Distributed Mirror Descent for Online Composite Optimization. IEEE Trans. Autom. Control. 66(2): 714-729 (2021) - [j15]Ting Wang, Baoyong Zhang, Deming Yuan, Yijun Zhang:
Event-Based Extended Dissipative State Estimation for Memristor-Based Markovian Neural Networks With Hybrid Time-Varying Delays. IEEE Trans. Circuits Syst. I Regul. Pap. 68(11): 4520-4533 (2021) - [j14]Deming Yuan, Alexandre Proutière, Guodong Shi:
Distributed Online Linear Regressions. IEEE Trans. Inf. Theory 67(1): 616-639 (2021) - [j13]Deming Yuan, Daniel W. C. Ho, Shengyuan Xu:
Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2344-2357 (2021) - [i5]Jiangbo Zhang, Deming Yuan, Lei Wang, Claudio Altafini, Guodong Shi:
Dynamics of Opinions with Bounded Confidence in Social Cliques: Emergence of Fluctuations. CoRR abs/2107.04948 (2021) - [i4]Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang:
Push-sum Distributed Dual Averaging for Convex Optimization in Multi-agent Systems with Communication Delays. CoRR abs/2112.01731 (2021) - 2020
- [i3]Zhan Yu, Daniel W. C. Ho, Deming Yuan:
Distributed Stochastic Optimization over Time-Varying Noisy Network. CoRR abs/2005.03982 (2020)
2010 – 2019
- 2019
- [i2]Deming Yuan, Alexandre Proutière, Guodong Shi:
Distributed Online Linear Regression. CoRR abs/1902.04774 (2019) - [i1]Deming Yuan, Alexandre Proutière, Guodong Shi:
Distributed Online Optimization with Long-Term Constraints. CoRR abs/1912.09705 (2019) - 2018
- [j12]Deming Yuan, Yiguang Hong, Daniel W. C. Ho, Guoping Jiang:
Optimal distributed stochastic mirror descent for strongly convex optimization. Autom. 90: 196-203 (2018) - [j11]Deming Yuan, Daniel W. C. Ho, Guoping Jiang:
An Adaptive Primal-Dual Subgradient Algorithm for Online Distributed Constrained Optimization. IEEE Trans. Cybern. 48(11): 3045-3055 (2018) - 2016
- [j10]Yang Yang, Dong Yue, Deming Yuan:
Adaptive neural tracking control of a class of MIMO pure-feedback time-delay nonlinear systems with input saturation. Int. J. Syst. Sci. 47(15): 3730-3740 (2016) - [j9]Deming Yuan, Daniel W. C. Ho, Yiguang Hong:
On Convergence Rate of Distributed Stochastic Gradient Algorithm for Convex Optimization with Inequality Constraints. SIAM J. Control. Optim. 54(5): 2872-2892 (2016) - [j8]Deming Yuan, Daniel W. C. Ho, Shengyuan Xu:
Regularized Primal-Dual Subgradient Method for Distributed Constrained Optimization. IEEE Trans. Cybern. 46(9): 2109-2118 (2016) - [j7]Deming Yuan, Daniel W. C. Ho, Shengyuan Xu:
Zeroth-Order Method for Distributed Optimization With Approximate Projections. IEEE Trans. Neural Networks Learn. Syst. 27(2): 284-294 (2016) - 2015
- [j6]Deming Yuan, Daniel W. C. Ho:
Randomized Gradient-Free Method for Multiagent Optimization Over Time-Varying Networks. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1342-1347 (2015) - 2014
- [j5]Deming Yuan, Daniel W. C. Ho, Shengyuan Xu:
Inexact dual averaging method for distributed multi-agent optimization. Syst. Control. Lett. 71: 23-30 (2014) - 2012
- [j4]Huanyu Zhao, Wei Ren, Deming Yuan, Jie Chen:
Distributed discrete-time coordinated tracking with Markovian switching topologies. Syst. Control. Lett. 61(7): 766-772 (2012) - [j3]Deming Yuan, Shengyuan Xu, Huanyu Zhao, Lina Rong:
Distributed dual averaging method for multi-agent optimization with quantized communication. Syst. Control. Lett. 61(11): 1053-1061 (2012) - 2011
- [j2]Deming Yuan, Shengyuan Xu, Huanyu Zhao:
Distributed Primal-Dual Subgradient Method for Multiagent Optimization via Consensus Algorithms. IEEE Trans. Syst. Man Cybern. Part B 41(6): 1715-1724 (2011) - [c1]Huanyu Zhao, Wei Ren, Shengyuan Xu, Deming Yuan:
Distributed discrete-time coordinated tracking for networked single-integrator agents under a Markovian switching topology. ACC 2011: 1624-1629 - 2010
- [j1]Deming Yuan, Shengyuan Xu, Huanyu Zhao, Yuming Chu:
Distributed average consensus via gossip algorithm with real-valued and quantized data for 0q. Syst. Control. Lett. 59(9): 536-542 (2010)
Coauthor Index
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last updated on 2024-10-07 01:26 CEST by the dblp team
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