— Selected Journal Publications:
[J26] Deming Yuan, Lei Wang, Alexandre Proutiere, Guodong Shi. Distributed zeroth-order optimization: convergence rates that match centralized counterpart. Automatica, accepted as Regular Paper, 2023.
[J25] Wentao Zhang, Yang Shi, Baoyong Zhang, Deming Yuan, Shengyuan Xu. Dynamic regret of distributed online saddle point problem. IEEE Transactions on Automatic Control, accepted for publication, 2023.
[J24] Deming Yuan, Baoyong Zhang, Shengyuan Xu, Huanyu Zhao. Distributed regularized online optimization using forward–backward splitting. Control Theory and Technology, 21: 212-221, 2023.
[J23] Deming Yuan, Alexandre Proutiere, Guodong Shi. Distributed online optimization with long-term constraints. IEEE Transactions on Automatic Control, 67(3): 1089-1104, 2022. (Regular Paper)
[J22] Deming Yuan, Baoyong Zhang, Daniel W.C. Ho, Wei Xing Zheng, Shengyuan Xu. Distributed online bandit optimization under random quantization. Automatica, 146: 110590, 2022.
[J21] Zhan Yu, Daniel W. C. Ho, Deming Yuan. Distributed randomized gradient-free mirror descent algorithm for constrained optimization. IEEE Transactions on Automatic Control, 67(2): 957-964, 2022.
[J20] Menghui Xiong, Baoyong Zhang, Daniel W. C. Ho, Deming Yuan, Shengyuan Xu. Event-triggered distributed stochastic mirror descent for convex optimization. IEEE Transactions on Neural Networks and Learning Systems, in press, 2022.
[J19] Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang. Push-sum distributed online optimization with bandit feedback. IEEE Transactions on Cybernetics, 52(4): 2263-2273, 2022.
[J18] Deming Yuan, Abhishek Bhardwaj, Ian R. Petersen, Elizabeth Ratnam, Guodong Shi. Towards online optimization for power grids. ACM SIGENERGY Energy Informatics Review, 1(1), Nov. 2021. (inaugural issue)
[J17] Deming Yuan, Yiguang Hong, Daniel. W. C. Ho, Shengyuan Xu. Distributed mirror descent for online composite optimization. IEEE Transactions on Automatic Control, 66(2): 714-729, 2021. (Regular Paper)
[J16] Deming Yuan, Alexandre Proutiere, Guodong Shi. Distributed online linear regressions. IEEE Transactions on Information Theory, 67(1): 616-639, 2021. (Full Paper)
[J15] Deming Yuan, Daniel. W. C. Ho, Shengyuan Xu. Stochastic strongly-convex optimization via distributed epoch stochastic gradient algorithm. IEEE Transactions on Neural Networks and Learning Systems, 32(6): 2344-2357, 2021.
[J14] 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 Transactions on Cybernetics, in press, 2021.
[J13] Menghui Xiong, Baoyong Zhang, Deming Yuan, Shengyuan Xu. Distributed quantized mirror descent for strongly convex optimization over time-varying directed graph. SCIENCE CHINA Information Sciences, in press, 2021. (Research Paper)
[J12] 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 Transactions on Circuits and Systems-I: Regular Systems, 68(11): 4520-4533, 2021.
[J11] Deming Yuan, Yiguang Hong, Daniel W. C. Ho, Guo-ping Jiang. Optimal distributed stochastic mirror descent for strongly convex optimization. Automatica, 90: 196-203, 2018.
[J10] Deming Yuan, Daniel W. C. Ho, Guo-ping Jiang. An adaptive primal-dual subgradient algorithm for online distributed constrained optimization. IEEE Transactions on Cybernetics, 48(11): 3045-3055, 2018.
[J9] Deming Yuan, Daniel W. C. Ho, Yiguang Hong. On convergence rate of distributed stochastic gradient algorithm for convex optimization with inequality constraints. SIAM Journal on Control and Optimization, 54(5): 2872-2892, 2016.
[J8] Deming Yuan, Daniel W. C. Ho, Shengyuan Xu. Zeroth-order method for distributed optimization with approximate projections. IEEE Transactions on Neural Networks and Learning Systems, 27(2): 284-294, 2016.
[J7] Deming Yuan, Daniel W. C. Ho, Shengyuan Xu. Regularized primal-dual subgradient method for distributed constrained optimization. IEEE Transactions on Cybernetics, 46(9): 2109-2118, 2016.
[J6] Deming Yuan, Daniel W. C. Ho. Randomized gradient-free method for multiagent optimization over time-varying networks. IEEE Transactions on Neural Networks and Learning Systems, 26(6): 1342-1347, 2015.
[J5] Deming Yuan, Daniel W. C. Ho, Shengyuan Xu. Inexact dual averaging method for distributed multi-agent optimization. Systems & Control Letters, 71: 23-30, 2014.
[J4] Deming Yuan, Shengyuan Xu, Huanyu Zhao, Lina Rong. Distributed dual averaging method for multi-agent optimization with quantized communication. Systems & Control Letters, 61(11): 1053-1061, 2012.
[J3] Huanyu Zhao, Wei Ren, Deming Yuan, Jie Chen. Distributed discrete-time coordinated tracking with Markovian switching topologies. Systems & Control Letters, 61(7): 766-772, 2012.
[J2] Deming Yuan, Shengyuan Xu, Huanyu Zhao. Distributed primal-dual subgradient method for multiagent optimization via consensus algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 41(6): 1715-1724, 2011.
[J1] Deming Yuan, Shengyuan Xu, Huanyu Zhao, Yuming Chu. Distributed average consensus via gossip algorithm with real-valued and quantized data for 0<q<1. Systems & Control Letters, 59(9): 536-542, 2010.
— Selected Conference Publications:
[C5] Zhipeng Tu, Xi Wang, Yiguang Hong, Lei Wang, Deming Yuan, Guodong Shi. Distributed online convex optimization with compressed communication. In NeurIPS 2022, New Orleans, USA, accepted for publication.
[C4] Mingcheng Dai, Deming Yuan, Baoyong Zhang. Differentially private distributed online linear regression over a time-varying network. In Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, Shenzhen,China, November 2022, pp. 752-763.
[C3] Deming Yuan, Daniel W. C. Ho, Yiguang Hong, Guoping Jiang. Online bandit convex optimization over a network. In 2016 35th Chinese Control Conference (CCC), Chengdu, China, July 2016, pp. 8090-8095.
[C2] Deming Yuan. Gossip-based gradient-free method for multi-agent optimization: constant step size analysis. In 2014 33rd Chinese Control Conference (CCC), Nanjing, China, July 2014, pp. 1349-1353.
[C1] Huanyu Zhao, Wei Ren, Shengyuan Xu, Deming Yuan. Distributed discrete-time coordinated tracking for networked single-integrator agents under a Markovian switching topology. In Proceedings of the 2011 American Control Conference, San Francisco, CA, USA, August 2011, pp. 1624-1629.